model,infer_img_size,infer_samples_per_sec,infer_step_time,infer_batch_size,param_count,infer_gmacs,infer_macts
test_vit,160,188343.61,5.426,1024,0.37,0.04,0.48
test_byobnet,160,114439.82,8.933,1024,0.46,0.03,0.43
test_efficientnet,160,101055.26,10.121,1024,0.36,0.06,0.55
tinynet_e,106,76644.06,13.346,1024,2.04,0.03,0.69
mobilenetv3_small_050,224,70186.63,14.579,1024,1.59,0.03,0.92
lcnet_035,224,64212.36,15.936,1024,1.64,0.03,1.04
efficientvit_m0,224,54771.53,18.686,1024,2.35,0.08,0.91
lcnet_050,224,53644.11,19.078,1024,1.88,0.05,1.26
mobilenetv3_small_075,224,49475.98,20.686,1024,2.04,0.05,1.3
mobilenetv3_small_100,224,43953.49,23.286,1024,2.54,0.06,1.42
tinynet_d,152,40047.08,25.554,1024,2.34,0.05,1.42
efficientvit_m1,224,38637.78,26.491,1024,2.98,0.17,1.33
tf_mobilenetv3_small_075,224,37336.46,27.408,1024,2.04,0.05,1.3
tf_mobilenetv3_small_minimal_100,224,37294.33,27.442,1024,2.04,0.06,1.41
efficientvit_m2,224,34551.89,29.625,1024,4.19,0.2,1.47
tf_mobilenetv3_small_100,224,34059.68,30.049,1024,2.54,0.06,1.42
lcnet_075,224,33742.36,30.337,1024,2.36,0.1,1.99
mobilenetv4_conv_small,224,32546.3,31.45,1024,3.77,0.19,1.97
efficientvit_m3,224,29796.09,34.355,1024,6.9,0.27,1.62
mnasnet_small,224,29488.73,34.713,1024,2.03,0.07,2.16
levit_128s,224,28915.97,35.397,1024,7.78,0.31,1.88
ghostnet_050,224,27810.93,36.808,1024,2.59,0.05,1.77
efficientvit_m4,224,27584.68,37.111,1024,8.8,0.3,1.7
vit_small_patch32_224,224,27011.35,37.895,1024,22.88,1.15,2.5
lcnet_100,224,26901.09,38.053,1024,2.95,0.16,2.52
regnetx_002,224,26857.85,38.105,1024,2.68,0.2,2.16
resnet18,160,26266.23,38.966,1024,11.69,0.93,1.27
resnet10t,176,25959.28,39.426,1024,5.44,0.7,1.51
mobilenetv4_conv_small,256,25751.02,39.753,1024,3.77,0.25,2.57
repghostnet_050,224,25423.49,40.26,1024,2.31,0.05,2.02
levit_conv_128s,224,25136.44,40.725,1024,7.78,0.31,1.88
regnety_002,224,25031.98,40.889,1024,3.16,0.2,2.17
mobilenetv2_035,224,25024.38,40.909,1024,1.68,0.07,2.86
vit_tiny_r_s16_p8_224,224,24696.86,41.446,1024,6.34,0.44,2.06
efficientvit_b0,224,22706.84,45.084,1024,3.41,0.1,2.87
mnasnet_050,224,22309.73,45.888,1024,2.22,0.11,3.07
pit_ti_224,224,21640.68,47.298,1024,4.85,0.7,6.19
pit_ti_distilled_224,224,21496.66,47.616,1024,5.1,0.71,6.23
tinynet_c,184,20204.93,50.66,1024,2.46,0.11,2.87
repghostnet_058,224,19802.21,51.689,1024,2.55,0.07,2.59
mixer_s32_224,224,19527.38,52.427,1024,19.1,1.0,2.28
mobilenetv2_050,224,19456.73,52.616,1024,1.97,0.1,3.64
semnasnet_050,224,19111.19,53.559,1024,2.08,0.11,3.44
levit_128,224,19082.4,53.651,1024,9.21,0.41,2.71
efficientvit_m5,224,18614.46,54.998,1024,12.47,0.53,2.41
vit_medium_patch32_clip_224,224,18383.79,55.687,1024,39.69,2.0,3.34
regnetx_004,224,18131.35,56.448,1024,5.16,0.4,3.14
gernet_s,224,17973.35,56.961,1024,8.17,0.75,2.65
lcnet_150,224,17737.51,57.717,1024,4.5,0.34,3.79
deit_tiny_patch16_224,224,17673.84,57.926,1024,5.72,1.26,5.97
vit_tiny_patch16_224,224,17666.09,57.952,1024,5.72,1.26,5.97
cs3darknet_focus_s,256,17602.37,58.161,1024,3.27,0.69,2.7
deit_tiny_distilled_patch16_224,224,17560.74,58.299,1024,5.91,1.27,6.01
levit_conv_128,224,17447.46,58.676,1024,9.21,0.41,2.71
regnetx_004_tv,224,17439.64,58.689,1024,5.5,0.42,3.17
levit_192,224,16980.83,60.29,1024,10.95,0.66,3.2
cs3darknet_s,256,16965.42,60.345,1024,3.28,0.72,2.97
resnet10t,224,16340.38,62.643,1024,5.44,1.1,2.43
resnet34,160,16119.94,63.502,1024,21.8,1.87,1.91
repghostnet_080,224,15726.41,65.091,1024,3.28,0.1,3.22
levit_conv_192,224,15726.05,65.102,1024,10.95,0.66,3.2
mobilenetv3_large_075,224,15518.95,65.962,1024,3.99,0.16,4.0
vit_xsmall_patch16_clip_224,224,15266.09,67.063,1024,8.28,1.79,6.65
hardcorenas_a,224,14844.77,68.969,1024,5.26,0.23,4.38
mnasnet_075,224,14443.19,70.885,1024,3.17,0.23,4.77
ese_vovnet19b_slim_dw,224,14337.06,71.41,1024,1.9,0.4,5.28
nf_regnet_b0,192,14314.09,71.525,1024,8.76,0.37,3.15
mobilenetv3_rw,224,14298.34,71.594,1024,5.48,0.23,4.41
resnet14t,176,14213.29,72.022,1024,10.08,1.07,3.61
mobilenetv3_large_100,224,14191.17,72.134,1024,5.48,0.23,4.41
pit_xs_224,224,14164.01,72.272,1024,10.62,1.4,7.71
pit_xs_distilled_224,224,14041.03,72.903,1024,11.0,1.41,7.76
ghostnet_100,224,13948.64,73.4,1024,5.18,0.15,3.55
regnetx_006,224,13813.98,74.091,1024,6.2,0.61,3.98
mobilenetv1_100,224,13760.09,74.406,1024,4.23,0.58,5.04
tf_mobilenetv3_large_075,224,13614.3,75.186,1024,3.99,0.16,4.0
hardcorenas_b,224,13584.5,75.367,1024,5.18,0.26,5.09
resnet18,224,13537.15,75.62,1024,11.69,1.82,2.48
hardcorenas_c,224,13512.54,75.768,1024,5.52,0.28,5.01
mobilenetv1_100h,224,13446.31,76.143,1024,5.28,0.63,5.09
regnety_004,224,13238.44,77.296,1024,4.34,0.41,3.89
tf_efficientnetv2_b0,192,13104.66,78.117,1024,7.14,0.54,3.51
tf_mobilenetv3_large_minimal_100,224,13074.99,78.292,1024,3.92,0.22,4.4
tinynet_b,188,13009.4,78.686,1024,3.73,0.21,4.44
mobilenet_edgetpu_v2_xs,224,12965.31,78.967,1024,4.46,0.7,4.8
vit_betwixt_patch32_clip_224,224,12906.63,79.313,1024,61.41,3.09,4.17
convnext_atto,224,12819.99,79.862,1024,3.7,0.55,3.81
repghostnet_100,224,12769.67,80.164,1024,4.07,0.15,3.98
mnasnet_100,224,12674.12,80.779,1024,4.38,0.33,5.46
seresnet18,224,12647.44,80.94,1024,11.78,1.82,2.49
hardcorenas_d,224,12555.09,81.548,1024,7.5,0.3,4.93
levit_256,224,12506.52,81.863,1024,18.89,1.13,4.23
legacy_seresnet18,224,12443.24,82.276,1024,11.78,1.82,2.49
tf_mobilenetv3_large_100,224,12230.56,83.698,1024,5.48,0.23,4.41
convnext_atto_ols,224,12208.81,83.859,1024,3.7,0.58,4.11
mobilenetv2_075,224,12206.99,83.872,1024,2.64,0.22,5.86
edgenext_xx_small,256,12172.17,84.111,1024,1.33,0.26,3.33
semnasnet_075,224,12007.14,85.256,1024,2.91,0.23,5.54
regnety_006,224,11941.12,85.707,1024,6.06,0.61,4.33
levit_conv_256,224,11783.71,86.886,1024,18.89,1.13,4.23
repghostnet_111,224,11492.86,89.073,1024,4.54,0.18,4.38
spnasnet_100,224,11256.71,90.94,1024,4.42,0.35,6.03
levit_256d,224,11118.19,92.088,1024,26.21,1.4,4.93
hardcorenas_f,224,11102.22,92.22,1024,8.2,0.35,5.57
convnext_femto,224,11040.93,92.732,1024,5.22,0.79,4.57
resnet18d,224,11008.69,92.989,1024,11.71,2.06,3.29
repvgg_a0,224,10985.0,93.181,1024,9.11,1.52,3.59
dla46_c,224,10958.84,93.426,1024,1.3,0.58,4.5
mobilenetv1_100,256,10920.28,93.756,1024,4.23,0.76,6.59
hardcorenas_e,224,10912.94,93.82,1024,8.07,0.35,5.65
mobilenetv4_conv_medium,224,10887.04,94.044,1024,9.72,0.84,5.8
ghostnet_130,224,10826.86,94.566,1024,7.36,0.24,4.6
ese_vovnet19b_slim,224,10822.95,94.602,1024,3.17,1.69,3.52
mobilenetv2_100,224,10810.08,94.71,1024,3.5,0.31,6.68
mobilenetv1_100h,256,10741.59,95.317,1024,5.28,0.82,6.65
semnasnet_100,224,10684.42,95.813,1024,3.89,0.32,6.23
regnetx_008,224,10649.58,96.116,1024,7.26,0.81,5.15
convnext_femto_ols,224,10568.01,96.88,1024,5.23,0.82,4.87
crossvit_tiny_240,240,10467.46,97.811,1024,7.01,1.57,9.08
mobilenet_edgetpu_100,224,10392.92,98.516,1024,4.09,1.0,5.75
efficientnet_lite0,224,10376.87,98.665,1024,4.65,0.4,6.74
mobilenetv1_125,224,10367.58,98.748,1024,6.27,0.89,6.3
mobilevit_xxs,256,10336.7,99.048,1024,1.27,0.42,8.34
fbnetc_100,224,10321.13,99.198,1024,5.57,0.4,6.51
tinynet_a,192,10287.99,99.507,1024,6.19,0.35,5.41
tf_efficientnetv2_b0,224,10217.13,100.198,1024,7.14,0.73,4.77
mobilenetv4_hybrid_medium_075,224,10204.4,100.333,1024,7.31,0.66,5.65
hgnetv2_b0,224,10169.22,100.683,1024,6.0,0.33,2.12
vit_base_patch32_clip_224,224,10127.52,101.084,1024,88.22,4.41,5.01
vit_base_patch32_224,224,10112.91,101.231,1024,88.22,4.41,5.01
tf_efficientnetv2_b1,192,10100.97,101.35,1024,8.14,0.76,4.59
regnety_008,224,9957.68,102.806,1024,6.26,0.81,5.25
levit_conv_256d,224,9877.75,103.652,1024,26.21,1.4,4.93
crossvit_9_240,240,9867.74,103.759,1024,8.55,1.85,9.52
repghostnet_130,224,9782.41,104.652,1024,5.48,0.25,5.24
regnety_008_tv,224,9578.99,106.856,1024,6.43,0.84,5.42
edgenext_xx_small,288,9574.3,106.938,1024,1.33,0.33,4.21
resnetblur18,224,9357.08,109.406,1024,11.69,2.34,3.39
vit_small_patch32_384,384,9286.73,110.252,1024,22.92,3.45,8.25
xcit_nano_12_p16_224,224,9284.43,110.262,1024,3.05,0.56,4.17
mobilenet_edgetpu_v2_s,224,9204.18,111.24,1024,5.99,1.21,6.6
visformer_tiny,224,9194.72,111.341,1024,10.32,1.27,5.72
dla46x_c,224,9155.27,111.834,1024,1.07,0.54,5.66
crossvit_9_dagger_240,240,9081.92,112.735,1024,8.78,1.99,9.97
mobilenetv4_conv_medium,256,9068.95,112.899,1024,9.72,1.1,7.58
pvt_v2_b0,224,8956.42,114.305,1024,3.67,0.57,7.99
resnet14t,224,8930.87,114.632,1024,10.08,1.69,5.8
efficientnet_b0,224,8926.12,114.703,1024,5.29,0.4,6.75
mnasnet_140,224,8908.91,114.927,1024,7.12,0.6,7.71
fbnetv3_b,224,8904.43,114.985,1024,8.6,0.42,6.97
pit_s_224,224,8898.37,115.049,1024,23.46,2.88,11.56
pit_s_distilled_224,224,8880.77,115.275,1024,24.04,2.9,11.64
mobilevitv2_050,256,8864.77,115.498,1024,1.37,0.48,8.04
cs3darknet_focus_m,256,8810.63,116.207,1024,9.3,1.98,4.89
tf_efficientnet_lite0,224,8709.74,117.542,1024,4.65,0.4,6.74
dla60x_c,224,8644.34,118.444,1024,1.32,0.59,6.01
efficientnet_b1_pruned,240,8640.04,118.503,1024,6.33,0.4,6.21
efficientvit_b1,224,8637.15,118.543,1024,9.1,0.53,7.25
convnext_pico,224,8576.11,119.388,1024,9.05,1.37,6.1
regnetz_005,224,8537.29,119.917,1024,7.12,0.52,5.86
rexnet_100,224,8512.86,120.248,1024,4.8,0.41,7.44
repghostnet_150,224,8511.4,120.282,1024,6.58,0.32,6.0
mobilenetv1_125,256,8425.89,121.511,1024,6.27,1.16,8.23
repvit_m1,224,8403.37,121.801,1024,5.49,0.83,7.45
vit_base_patch32_clip_quickgelu_224,224,8389.12,122.035,1024,87.85,4.41,5.01
ese_vovnet19b_dw,224,8324.1,123.002,1024,6.54,1.34,8.25
resnet18,288,8261.03,123.927,1024,11.69,3.01,4.11
repvgg_a1,224,8255.57,124.011,1024,14.09,2.64,4.74
rexnetr_100,224,8248.96,124.109,1024,4.88,0.43,7.72
convnext_pico_ols,224,8234.27,124.344,1024,9.06,1.43,6.5
cs3darknet_m,256,8195.28,124.934,1024,9.31,2.08,5.28
resnet34,224,8192.41,124.968,1024,21.8,3.67,3.74
resnet50,160,8139.65,125.774,1024,25.56,2.1,5.67
mobilenetv4_hybrid_medium,224,8135.37,125.856,1024,11.07,0.98,6.84
vit_tiny_r_s16_p8_384,384,8129.06,125.953,1024,6.36,1.34,6.49
selecsls42,224,8099.05,126.406,1024,30.35,2.94,4.62
mobilenetv2_110d,224,8095.22,126.469,1024,4.52,0.45,8.71
nf_regnet_b0,256,8083.32,126.666,1024,8.76,0.64,5.58
selecsls42b,224,8049.57,127.183,1024,32.46,2.98,4.62
repvit_m0_9,224,7983.61,128.234,1024,5.49,0.83,7.45
tf_efficientnetv2_b2,208,7955.98,128.679,1024,10.1,1.06,6.0
vit_base_patch32_clip_256,256,7846.08,130.484,1024,87.86,5.76,6.65
hrnet_w18_small,224,7772.99,131.724,1024,13.19,1.61,5.72
convnext_atto,288,7751.5,132.09,1024,3.7,0.91,6.3
efficientnet_b0_gn,224,7748.62,132.137,1024,5.29,0.42,6.75
levit_384,224,7713.47,132.738,1024,39.13,2.36,6.26
seresnet18,288,7713.21,132.732,1024,11.78,3.01,4.11
gernet_m,224,7709.22,132.814,1024,21.14,3.02,5.24
vit_small_patch16_224,224,7693.38,133.087,1024,22.05,4.61,11.95
deit_small_patch16_224,224,7687.89,133.182,1024,22.05,4.61,11.95
resnet50d,160,7681.19,133.288,1024,25.58,2.22,6.08
tf_efficientnet_b0,224,7640.8,133.985,1024,5.29,0.4,6.75
deit_small_distilled_patch16_224,224,7620.92,134.352,1024,22.44,4.63,12.02
edgenext_x_small,256,7580.19,135.075,1024,2.34,0.54,5.93
seresnet34,224,7569.0,135.26,1024,21.96,3.67,3.74
ghostnetv2_100,224,7562.78,135.385,1024,6.16,0.18,4.55
skresnet18,224,7543.01,135.725,1024,11.96,1.82,3.24
mobilenetv2_140,224,7486.19,136.767,1024,6.11,0.6,9.57
semnasnet_140,224,7485.31,136.75,1024,6.11,0.6,8.87
legacy_seresnet34,224,7446.07,137.508,1024,21.96,3.67,3.74
fbnetv3_d,224,7426.0,137.878,1024,10.31,0.52,8.5
hgnetv2_b1,224,7416.62,138.054,1024,6.34,0.49,2.73
convnext_atto_ols,288,7379.61,138.745,1024,3.7,0.96,6.8
mixer_b32_224,224,7373.37,138.863,1024,60.29,3.24,6.29
vit_pwee_patch16_reg1_gap_256,256,7329.65,139.691,1024,15.25,4.37,15.87
resnet34d,224,7202.58,142.142,1024,21.82,3.91,4.54
levit_conv_384,224,7171.07,142.782,1024,39.13,2.36,6.26
efficientnet_lite1,240,7085.22,144.508,1024,5.42,0.62,10.14
efficientnet_b0,256,7082.56,144.564,1024,5.29,0.52,8.81
dla34,224,7078.3,144.651,1024,15.74,3.07,5.02
mobilenet_edgetpu_v2_m,224,7064.66,144.928,1024,8.46,1.85,8.15
mixnet_s,224,7052.75,145.177,1024,4.13,0.25,6.25
fbnetv3_b,256,7022.87,145.793,1024,8.6,0.55,9.1
seresnet50,160,6986.99,146.503,1024,28.09,2.1,5.69
cs3darknet_focus_m,288,6969.39,146.91,1024,9.3,2.51,6.19
eva02_tiny_patch14_224,224,6896.46,148.467,1024,5.5,1.7,9.14
ecaresnet50t,160,6885.36,148.705,1024,25.57,2.21,6.04
tf_efficientnetv2_b1,240,6876.19,148.891,1024,8.14,1.21,7.34
efficientvit_b1,256,6866.64,149.111,1024,9.1,0.69,9.46
selecsls60b,224,6862.29,149.193,1024,32.77,3.63,5.52
selecsls60,224,6832.72,149.84,1024,30.67,3.59,5.52
vit_wee_patch16_reg1_gap_256,256,6818.08,150.174,1024,13.42,3.83,13.9
mobilenetv4_conv_blur_medium,224,6816.69,150.205,1024,9.72,1.22,8.58
deit3_small_patch16_224,224,6812.85,150.286,1024,22.06,4.61,11.95
efficientnet_es,224,6810.09,150.348,1024,5.44,1.81,8.73
mixer_s16_224,224,6808.46,150.387,1024,18.53,3.79,5.97
efficientnet_blur_b0,224,6806.84,150.42,1024,5.29,0.43,8.72
tiny_vit_5m_224,224,6795.79,150.652,1024,12.08,1.28,11.25
repvit_m1_0,224,6784.56,150.903,1024,7.3,1.13,8.69
regnetx_016,224,6766.08,151.313,1024,9.19,1.62,7.93
resnet50,176,6703.95,152.718,1024,25.56,2.62,6.92
convnext_femto,288,6687.36,153.109,1024,5.22,1.3,7.56
flexivit_small,240,6660.66,153.724,1024,22.06,5.35,14.18
efficientnet_b0_g16_evos,224,6654.19,153.871,1024,8.11,1.01,7.42
resmlp_12_224,224,6650.72,153.939,1024,15.35,3.01,5.5
resnet26,224,6639.65,154.197,1024,16.0,2.36,7.35
resnet18d,288,6633.67,154.335,1024,11.71,3.41,5.43
repvit_m2,224,6610.13,154.886,1024,8.8,1.36,9.43
mobilenetv4_hybrid_medium,256,6587.07,155.438,1024,11.07,1.29,9.01
convnextv2_atto,224,6572.88,155.773,1024,3.71,0.55,3.81
resnetrs50,160,6568.89,155.826,1024,35.69,2.29,6.2
resnext50_32x4d,160,6540.25,156.542,1024,25.03,2.17,7.35
cs3darknet_m,288,6499.55,157.533,1024,9.31,2.63,6.69
rexnetr_130,224,6489.24,157.769,1024,7.61,0.68,9.81
rexnet_130,224,6476.24,158.089,1024,7.56,0.68,9.71
resnetaa34d,224,6464.72,158.371,1024,21.82,4.43,5.07
repghostnet_200,224,6438.16,159.023,1024,9.8,0.54,7.96
convnext_femto_ols,288,6405.94,159.835,1024,5.23,1.35,8.06
xcit_tiny_12_p16_224,224,6316.09,162.101,1024,6.72,1.24,6.29
gmixer_12_224,224,6305.79,162.375,1024,12.7,2.67,7.26
tf_mixnet_s,224,6303.08,162.43,1024,4.13,0.25,6.25
mobilenetv4_conv_aa_medium,256,6295.03,162.653,1024,9.72,1.58,10.3
repvit_m1_1,224,6283.35,162.917,1024,8.8,1.36,9.43
tf_efficientnet_es,224,6275.13,163.154,1024,5.44,1.81,8.73
efficientnet_b1,224,6258.96,163.587,1024,7.79,0.59,9.36
efficientnet_es_pruned,224,6256.91,163.63,1024,5.44,1.81,8.73
efficientnet_b0_g8_gn,224,6255.71,163.672,1024,6.56,0.66,6.75
convnext_nano,224,6249.99,163.825,1024,15.59,2.46,8.37
repvgg_b0,224,6210.44,164.855,1024,15.82,3.41,6.15
hgnetv2_b0,288,6150.46,166.477,1024,6.0,0.54,3.51
ecaresnet50d_pruned,224,6136.73,166.846,1024,19.94,2.53,6.43
hgnetv2_b4,224,6125.62,167.15,1024,19.8,2.75,6.7
tf_efficientnet_lite1,240,6121.06,167.26,1024,5.42,0.62,10.14
resnet26d,224,6072.87,168.59,1024,16.01,2.6,8.15
efficientnet_cc_b0_4e,224,6016.7,170.181,1024,13.31,0.41,9.42
efficientnet_cc_b0_8e,224,6014.04,170.256,1024,24.01,0.42,9.42
nf_regnet_b1,256,6005.41,170.494,1024,10.22,0.82,7.27
mobilenetv4_conv_medium,320,5999.7,170.66,1024,9.72,1.71,11.84
mobilenet_edgetpu_v2_l,224,5960.09,171.794,1024,10.92,2.55,9.05
vit_relpos_small_patch16_224,224,5956.13,171.907,1024,21.98,4.59,13.05
edgenext_x_small,288,5955.77,171.92,1024,2.34,0.68,7.5
regnety_016,224,5939.38,172.381,1024,11.2,1.63,8.04
darknet17,256,5937.82,172.434,1024,14.3,3.26,7.18
fbnetv3_d,256,5909.96,173.251,1024,10.31,0.68,11.1
vit_srelpos_small_patch16_224,224,5903.24,173.446,1024,21.97,4.59,12.16
nf_resnet26,224,5897.16,173.627,1024,16.0,2.41,7.35
mobilevitv2_075,256,5875.41,174.271,1024,2.87,1.05,12.06
nf_regnet_b2,240,5860.87,174.704,1024,14.31,0.97,7.23
ghostnetv2_130,224,5854.47,174.894,1024,8.96,0.28,5.9
efficientnet_b2_pruned,260,5817.56,176.002,1024,8.31,0.73,9.13
vit_base_patch32_plus_256,256,5803.45,176.415,1024,119.48,7.79,7.76
tiny_vit_11m_224,224,5800.65,176.504,1024,20.35,2.04,13.49
vit_tiny_patch16_384,384,5746.17,178.189,1024,5.79,4.7,25.39
gmlp_ti16_224,224,5736.13,178.502,1024,5.87,1.34,7.55
mobilenet_edgetpu_v2_m,256,5727.79,178.761,1024,8.46,2.42,10.65
mobilenetv2_120d,224,5720.65,178.972,1024,5.83,0.69,11.97
vit_relpos_small_patch16_rpn_224,224,5707.01,179.411,1024,21.97,4.59,13.05
resnetblur18,288,5705.18,179.458,1024,11.69,3.87,5.6
rexnetr_150,224,5686.03,180.063,1024,9.78,0.89,11.13
convnext_nano_ols,224,5675.19,180.417,1024,15.65,2.65,9.38
poolformer_s12,224,5647.45,181.292,1024,11.92,1.82,5.53
efficientformer_l1,224,5641.9,181.48,1024,12.29,1.3,5.53
convnextv2_femto,224,5629.97,181.868,1024,5.23,0.79,4.57
rexnet_150,224,5597.8,182.901,1024,9.73,0.9,11.21
efficientnet_lite2,260,5526.09,185.282,1024,6.09,0.89,12.9
efficientnet_b1,240,5515.48,185.64,1024,7.79,0.71,10.88
darknet21,256,5507.84,185.899,1024,20.86,3.93,7.47
edgenext_small,256,5504.6,186.01,1024,5.59,1.26,9.07
mobilenetv4_conv_blur_medium,256,5452.15,140.844,768,9.72,1.59,11.2
resnext50_32x4d,176,5448.72,187.904,1024,25.03,2.71,8.97
tf_efficientnet_cc_b0_8e,224,5378.31,190.379,1024,24.01,0.42,9.42
tf_efficientnet_cc_b0_4e,224,5350.74,191.362,1024,13.31,0.41,9.42
resnet101,160,5347.38,191.468,1024,44.55,4.0,8.28
gernet_l,256,5345.88,191.534,1024,31.08,4.57,8.0
efficientvit_b1,288,5336.48,191.869,1024,9.1,0.87,11.96
regnetz_005,288,5324.94,192.275,1024,7.12,0.86,9.68
hgnet_tiny,224,5289.94,193.552,1024,14.74,4.54,6.36
repvgg_a2,224,5234.66,195.589,1024,28.21,5.7,6.26
mobilenetv4_conv_large,256,5210.97,196.493,1024,32.59,2.86,12.14
convnext_pico,288,5203.54,196.772,1024,9.05,2.27,10.08
cs3darknet_focus_l,256,5201.05,196.865,1024,21.15,4.66,8.03
vit_relpos_base_patch32_plus_rpn_256,256,5200.74,196.879,1024,119.42,7.68,8.01
mobilenetv3_large_150d,256,5199.32,196.924,1024,14.62,1.03,12.35
resnest14d,224,5198.83,196.94,1024,10.61,2.76,7.33
vit_medium_patch16_clip_224,224,5170.05,198.043,1024,38.59,8.0,15.93
sedarknet21,256,5136.28,199.326,1024,20.95,3.93,7.47
tf_efficientnetv2_b2,260,5112.53,200.262,1024,10.1,1.72,9.84
regnetz_b16,224,5111.47,200.306,1024,9.72,1.45,9.95
efficientnetv2_rw_t,224,5105.62,200.547,1024,13.65,1.93,9.94
hgnetv2_b2,224,5071.32,201.903,1024,11.22,1.15,4.12
edgenext_small_rw,256,5063.53,202.213,1024,7.83,1.58,9.51
legacy_seresnext26_32x4d,224,5035.51,203.34,1024,16.79,2.49,9.39
mobilenetv4_hybrid_large_075,256,5015.06,204.168,1024,22.75,2.06,11.64
ecaresnet101d_pruned,224,5009.62,204.385,1024,24.88,3.48,7.69
tf_efficientnetv2_b3,240,5006.45,204.508,1024,14.36,1.93,9.95
crossvit_small_240,240,5004.67,204.591,1024,26.86,5.63,18.17
convnext_pico_ols,288,4990.08,205.192,1024,9.06,2.37,10.74
resnext26ts,256,4989.4,205.207,1024,10.3,2.43,10.52
resnet34,288,4989.09,205.219,1024,21.8,6.07,6.18
efficientnet_b1,256,4979.81,205.61,1024,7.79,0.77,12.22
pvt_v2_b1,224,4972.11,205.919,1024,14.01,2.12,15.39
mixnet_m,224,4961.12,206.387,1024,5.01,0.36,8.19
dpn48b,224,4946.37,207.002,1024,9.13,1.69,8.92
sam2_hiera_tiny,224,4939.34,207.285,1024,26.85,4.91,17.12
nf_ecaresnet26,224,4936.32,207.425,1024,16.0,2.41,7.36
eca_resnext26ts,256,4936.16,207.428,1024,10.3,2.43,10.52
mobilevit_xs,256,4915.37,156.229,768,2.32,1.05,16.33
cs3darknet_l,256,4898.39,209.032,1024,21.16,4.86,8.55
tf_efficientnet_b1,240,4891.58,209.309,1024,7.79,0.71,10.88
nf_seresnet26,224,4877.41,209.923,1024,17.4,2.41,7.36
gcresnext26ts,256,4873.11,210.116,1024,10.48,2.43,10.53
ecaresnetlight,224,4830.89,211.948,1024,30.16,4.11,8.42
seresnext26ts,256,4825.46,212.166,1024,10.39,2.43,10.52
tf_efficientnet_lite2,260,4812.46,212.754,1024,6.09,0.89,12.9
resnet26t,256,4797.54,213.414,1024,16.01,3.35,10.52
convnext_tiny,224,4796.99,213.45,1024,28.59,4.47,13.44
coatnext_nano_rw_224,224,4780.38,214.189,1024,14.7,2.47,12.8
ecaresnext50t_32x4d,224,4760.92,215.063,1024,15.41,2.7,10.09
ecaresnext26t_32x4d,224,4760.44,215.086,1024,15.41,2.7,10.09
ghostnetv2_160,224,4741.68,215.94,1024,12.39,0.42,7.23
mobileone_s1,224,4716.61,217.083,1024,4.83,0.86,9.67
efficientnet_b2,256,4713.06,217.249,1024,9.11,0.89,12.81
ese_vovnet19b_dw,288,4711.0,217.348,1024,6.54,2.22,13.63
vit_little_patch16_reg1_gap_256,256,4683.45,218.614,1024,22.52,6.27,18.06
gc_efficientnetv2_rw_t,224,4667.78,219.357,1024,13.68,1.94,9.97
nf_regnet_b1,288,4666.05,219.44,1024,10.22,1.02,9.2
vit_small_resnet26d_224,224,4663.1,219.577,1024,63.61,5.07,11.12
vit_little_patch16_reg4_gap_256,256,4660.7,219.682,1024,22.52,6.35,18.33
efficientnet_b3_pruned,300,4660.19,219.714,1024,9.86,1.04,11.86
seresnext26t_32x4d,224,4649.25,220.222,1024,16.81,2.7,10.09
tf_mixnet_m,224,4635.47,220.876,1024,5.01,0.36,8.19
crossvit_15_240,240,4634.12,220.945,1024,27.53,5.81,19.77
vit_small_r26_s32_224,224,4628.86,221.202,1024,36.43,3.56,9.85
seresnet34,288,4622.08,221.495,1024,21.96,6.07,6.18
vit_relpos_medium_patch16_cls_224,224,4616.98,221.77,1024,38.76,8.03,18.24
tresnet_m,224,4615.66,221.824,1024,31.39,5.75,7.31
deit3_medium_patch16_224,224,4613.13,221.958,1024,38.85,8.0,15.93
seresnext26d_32x4d,224,4594.08,222.859,1024,16.81,2.73,10.19
hgnetv2_b1,288,4576.22,223.749,1024,6.34,0.82,4.51
cs3sedarknet_l,256,4561.19,224.486,1024,21.91,4.86,8.56
levit_512,224,4507.01,227.185,1024,95.17,5.64,10.22
nf_regnet_b2,272,4499.96,227.541,1024,14.31,1.22,9.27
repvit_m3,224,4488.27,228.109,1024,10.68,1.89,13.94
selecsls84,224,4485.13,228.28,1024,50.95,5.9,7.57
coatnet_pico_rw_224,224,4472.02,228.953,1024,10.85,2.05,14.62
resnetv2_50,224,4451.45,230.006,1024,25.55,4.11,11.11
mobilevitv2_100,256,4424.26,173.574,768,4.9,1.84,16.08
wide_resnet50_2,176,4418.37,231.739,1024,68.88,7.29,8.97
hiera_tiny_224,224,4417.32,231.797,1024,27.91,4.91,17.13
coat_lite_tiny,224,4413.07,232.018,1024,5.72,1.6,11.65
resnet101,176,4401.33,232.627,1024,44.55,4.92,10.08
crossvit_15_dagger_240,240,4395.44,232.947,1024,28.21,6.13,20.43
vgg11,224,4384.0,233.545,1024,132.86,7.61,7.44
resnet34d,288,4379.98,233.76,1024,21.82,6.47,7.51
eca_botnext26ts_256,256,4372.52,234.17,1024,10.59,2.46,11.6
ecaresnet26t,256,4365.68,234.537,1024,16.01,3.35,10.53
convit_tiny,224,4364.79,234.585,1024,5.71,1.26,7.94
skresnet34,224,4357.69,234.957,1024,22.28,3.67,5.13
vovnet39a,224,4329.41,236.505,1024,22.6,7.09,6.73
convnextv2_pico,224,4303.27,237.943,1024,9.07,1.37,6.1
eca_halonext26ts,256,4303.05,237.954,1024,10.76,2.44,11.46
cspresnet50,256,4286.58,238.859,1024,21.62,4.54,11.5
fbnetv3_g,240,4271.76,239.698,1024,16.62,1.28,14.87
fastvit_t8,256,4268.46,239.88,1024,4.03,0.7,8.63
dla60,224,4267.0,239.958,1024,22.04,4.26,10.16
resnetv2_50t,224,4244.14,241.24,1024,25.57,4.32,11.82
regnetx_032,224,4235.6,241.712,1024,15.3,3.2,11.37
hrnet_w18_small_v2,224,4233.72,241.85,1024,15.6,2.62,9.65
levit_512d,224,4224.89,242.354,1024,92.5,5.85,11.3
resnet32ts,256,4223.86,242.395,1024,17.96,4.63,11.58
mobilenetv4_hybrid_medium,320,4223.22,242.451,1024,11.07,2.05,14.36
resnet50,224,4217.6,242.763,1024,25.56,4.11,11.11
levit_conv_512,224,4205.6,243.467,1024,95.17,5.64,10.22
resnetv2_50d,224,4198.97,243.837,1024,25.57,4.35,11.92
efficientvit_b2,224,4196.18,244.014,1024,24.33,1.6,14.62
lambda_resnet26t,256,4192.89,244.204,1024,10.96,3.02,11.87
coat_lite_mini,224,4171.78,245.439,1024,11.01,2.0,12.25
resnet33ts,256,4170.49,245.507,1024,19.68,4.76,11.66
regnety_032,224,4166.74,245.728,1024,19.44,3.2,11.26
botnet26t_256,256,4164.92,245.843,1024,12.49,3.32,11.98
halonet26t,256,4157.99,246.255,1024,12.48,3.19,11.69
ese_vovnet39b,224,4150.95,246.672,1024,24.57,7.09,6.74
eca_vovnet39b,224,4144.28,247.067,1024,22.6,7.09,6.74
dpn68,224,4139.9,247.329,1024,12.61,2.35,10.47
hgnetv2_b3,224,4136.91,247.511,1024,16.29,1.78,5.07
coatnet_nano_cc_224,224,4135.45,247.589,1024,13.76,2.24,15.02
rexnetr_200,224,4135.03,185.7,768,16.52,1.59,15.11
rexnet_200,224,4128.12,186.013,768,16.37,1.56,14.91
vit_relpos_medium_patch16_224,224,4120.0,248.525,1024,38.75,7.97,17.02
eca_resnet33ts,256,4101.91,249.618,1024,19.68,4.76,11.66
vit_srelpos_medium_patch16_224,224,4077.53,251.113,1024,38.74,7.96,16.21
gcresnet33ts,256,4074.93,251.273,1024,19.88,4.76,11.68
dpn68b,224,4071.04,251.513,1024,12.61,2.35,10.47
cs3darknet_focus_l,288,4065.11,251.879,1024,21.15,5.9,10.16
resnet26,288,4059.09,252.243,1024,16.0,3.9,12.15
seresnet33ts,256,4037.86,253.571,1024,19.78,4.76,11.66
resnet50t,224,4031.22,253.987,1024,25.57,4.32,11.82
visformer_small,224,4021.8,254.581,1024,40.22,4.88,11.43
resnet50d,224,3994.33,256.335,1024,25.58,4.35,11.92
davit_tiny,224,3979.92,192.952,768,28.36,4.54,18.89
cspresnet50w,256,3979.02,257.332,1024,28.12,5.04,12.19
resnetaa34d,288,3962.03,258.426,1024,21.82,7.33,8.38
resnet50c,224,3951.72,259.096,1024,25.58,4.35,11.92
resnetv2_50x1_bit,224,3946.63,259.432,1024,25.55,4.23,11.11
cspresnet50d,256,3928.57,260.626,1024,21.64,4.86,12.55
efficientnet_b1,288,3916.7,261.423,1024,7.79,0.97,15.46
resnext26ts,288,3914.08,261.582,1024,10.3,3.07,13.31
convnext_tiny_hnf,224,3907.17,262.058,1024,28.59,4.47,13.44
vit_base_resnet26d_224,224,3907.09,262.061,1024,101.4,6.97,13.16
bat_resnext26ts,256,3900.03,262.512,1024,10.73,2.53,12.51
resnetaa50,224,3892.01,263.074,1024,25.56,5.15,11.64
coatnet_nano_rw_224,224,3890.95,263.144,1024,15.14,2.41,15.41
regnetv_040,224,3888.77,263.292,1024,20.64,4.0,12.29
vit_relpos_medium_patch16_rpn_224,224,3883.35,263.671,1024,38.73,7.97,17.02
twins_svt_small,224,3875.45,264.197,1024,24.06,2.94,13.75
eca_resnext26ts,288,3875.29,264.216,1024,10.3,3.07,13.32
mobileone_s2,224,3859.75,265.286,1024,7.88,1.34,11.55
hgnetv2_b4,288,3849.96,265.959,1024,19.8,4.54,11.08
haloregnetz_b,224,3847.23,266.147,1024,11.68,1.97,11.94
legacy_seresnet50,224,3845.77,266.241,1024,28.09,3.88,10.6
cs3darknet_l,288,3845.41,266.274,1024,21.16,6.16,10.83
efficientnet_cc_b1_8e,240,3844.11,266.369,1024,39.72,0.75,15.44
tf_efficientnet_em,240,3839.63,266.664,1024,6.9,3.04,14.34
mobilevit_s,256,3835.87,200.199,768,5.58,2.03,19.94
levit_conv_512d,224,3830.33,267.323,1024,92.5,5.85,11.3
vgg11_bn,224,3829.44,267.372,1024,132.87,7.62,7.44
tf_efficientnet_b2,260,3827.63,267.5,1024,9.11,1.02,13.83
gcresnext26ts,288,3824.01,267.764,1024,10.48,3.07,13.33
regnety_040,224,3819.46,268.036,1024,20.65,4.0,12.29
resnet152,160,3816.3,268.292,1024,60.19,5.9,11.51
resnetv2_50d_gn,224,3798.52,269.547,1024,25.57,4.38,11.92
convnext_nano,288,3784.13,270.586,1024,15.59,4.06,13.84
mixnet_l,224,3783.23,270.648,1024,7.33,0.58,10.84
ecaresnet50d_pruned,288,3782.37,270.708,1024,19.94,4.19,10.61
seresnext26ts,288,3781.76,270.745,1024,10.39,3.07,13.32
resnet50_gn,224,3769.97,271.59,1024,25.56,4.14,11.11
res2net50_48w_2s,224,3744.75,273.407,1024,25.29,4.18,11.72
repvit_m1_5,224,3729.62,274.53,1024,14.64,2.31,15.7
tiny_vit_21m_224,224,3725.54,274.83,1024,33.22,4.29,20.08
resnest26d,224,3723.36,274.993,1024,17.07,3.64,9.97
resnet26d,288,3717.52,275.422,1024,16.01,4.29,13.48
efficientnet_b2,288,3712.61,275.797,1024,9.11,1.12,16.2
efficientnet_em,240,3709.85,275.987,1024,6.9,3.04,14.34
vovnet57a,224,3706.22,276.265,1024,36.64,8.95,7.52
resnetaa50d,224,3694.51,277.138,1024,25.58,5.39,12.44
resnet50_clip_gap,224,3684.19,277.913,1024,23.53,5.39,12.44
regnetx_040,224,3677.93,278.37,1024,22.12,3.99,12.2
convnextv2_atto,288,3666.13,279.278,1024,3.71,0.91,6.3
inception_v3,299,3663.18,279.511,1024,23.83,5.73,8.97
hiera_small_224,224,3657.67,279.941,1024,35.01,6.42,20.75
gcvit_xxtiny,224,3656.12,280.058,1024,12.0,2.14,15.36
twins_pcpvt_small,224,3652.03,280.363,1024,24.11,3.83,18.08
seresnet50,224,3649.19,280.58,1024,28.09,4.11,11.13
resnetblur50,224,3629.01,282.14,1024,25.56,5.16,12.02
densenet121,224,3614.99,283.247,1024,7.98,2.87,6.9
vit_medium_patch16_gap_240,240,3607.76,283.806,1024,44.4,9.22,18.81
ecaresnet50t,224,3581.41,285.899,1024,25.57,4.32,11.83
cs3sedarknet_l,288,3578.3,286.15,1024,21.91,6.16,10.83
vit_base_r26_s32_224,224,3567.73,286.987,1024,101.38,6.81,12.36
mobilenetv4_conv_large,320,3558.21,287.765,1024,32.59,4.47,18.97
inception_next_tiny,224,3555.09,288.019,1024,28.06,4.19,11.98
ecaresnet50d,224,3553.36,288.157,1024,25.58,4.35,11.93
mobileone_s0,224,3552.46,288.227,1024,5.29,1.09,15.48
coatnet_rmlp_nano_rw_224,224,3537.96,289.405,1024,15.15,2.62,20.34
tf_mixnet_l,224,3536.96,289.484,1024,7.33,0.58,10.84
dla60x,224,3535.6,289.605,1024,17.35,3.54,13.8
ese_vovnet57b,224,3532.21,289.885,1024,38.61,8.95,7.52
edgenext_small,320,3521.78,290.744,1024,5.59,1.97,14.16
mobilevitv2_125,256,3514.09,218.532,768,7.48,2.86,20.1
resnet50_clip,224,3513.39,291.426,1024,38.32,6.14,12.98
vit_base_patch32_384,384,3507.62,291.907,1024,88.3,13.06,16.5
nf_regnet_b3,288,3505.93,292.061,1024,18.59,1.67,11.84
vit_base_patch32_clip_384,384,3505.16,292.11,1024,88.3,13.06,16.5
hgnetv2_b5,224,3503.99,292.219,1024,39.57,6.56,11.19
tf_efficientnet_cc_b1_8e,240,3502.1,292.382,1024,39.72,0.75,15.44
seresnet50t,224,3492.13,293.202,1024,28.1,4.32,11.83
vit_large_patch32_224,224,3482.36,294.033,1024,305.51,15.39,13.3
vit_medium_patch16_reg1_gap_256,256,3459.44,295.982,1024,38.88,10.63,22.26
vit_medium_patch16_reg4_gap_256,256,3450.76,296.726,1024,38.88,10.76,22.6
resnetblur50d,224,3438.8,297.748,1024,25.58,5.4,12.82
cs3darknet_focus_x,256,3437.61,297.861,1024,35.02,8.03,10.69
eca_nfnet_l0,224,3436.69,297.944,1024,24.14,4.35,10.47
convnext_nano_ols,288,3435.64,298.035,1024,15.65,4.38,15.5
resnetrs50,224,3434.24,298.144,1024,35.69,4.48,12.14
resnext50_32x4d,224,3427.06,298.772,1024,25.03,4.26,14.4
coatnet_0_rw_224,224,3425.88,298.879,1024,27.44,4.43,18.73
hgnet_small,224,3416.04,299.744,1024,24.36,8.53,8.79
cspresnext50,256,3409.98,300.268,1024,20.57,4.05,15.86
dla60_res2net,224,3403.55,300.841,1024,20.85,4.15,12.34
res2net50_26w_4s,224,3401.73,300.973,1024,25.7,4.28,12.61
maxvit_pico_rw_256,256,3401.1,225.792,768,7.46,1.83,22.3
resmlp_24_224,224,3399.81,301.162,1024,30.02,5.96,10.91
res2net50_14w_8s,224,3398.1,301.29,1024,25.06,4.21,13.28
maxvit_rmlp_pico_rw_256,256,3396.4,226.105,768,7.52,1.85,24.86
resnet50s,224,3396.16,301.49,1024,25.68,5.47,13.52
convnextv2_femto,288,3395.92,301.516,1024,5.23,1.3,7.56
regnety_040_sgn,224,3390.72,301.971,1024,20.65,4.03,12.29
xcit_tiny_24_p16_224,224,3375.55,303.331,1024,12.12,2.34,11.82
efficientvit_b2,256,3369.65,303.868,1024,24.33,2.09,19.03
nfnet_f0,192,3349.0,305.741,1024,71.49,7.21,10.16
nfnet_l0,224,3341.81,306.39,1024,35.07,4.36,10.47
hieradet_small,256,3335.5,230.232,768,34.72,8.51,27.76
edgenext_base,256,3315.68,308.815,1024,18.51,3.85,15.58
resnest50d_1s4x24d,224,3309.67,309.367,1024,25.68,4.43,13.57
efficientnet_lite3,300,3296.2,155.31,512,8.2,1.65,21.85
dla60_res2next,224,3295.03,310.75,1024,17.03,3.49,13.17
mobilenetv3_large_150d,320,3287.23,233.606,768,14.62,1.61,19.29
cs3darknet_x,256,3280.58,312.118,1024,35.05,8.38,11.35
crossvit_18_240,240,3276.68,312.485,1024,43.27,9.05,26.26
lambda_resnet26rpt_256,256,3275.72,234.435,768,10.99,3.16,11.87
resnet32ts,288,3273.65,312.761,1024,17.96,5.86,14.65
resnext50d_32x4d,224,3267.01,313.407,1024,25.05,4.5,15.2
densenetblur121d,224,3260.14,314.077,1024,8.0,3.11,7.9
res2net50d,224,3253.03,314.728,1024,25.72,4.52,13.41
darknetaa53,256,3249.03,315.15,1024,36.02,7.97,12.39
edgenext_small_rw,320,3242.29,315.807,1024,7.83,2.46,14.85
resnet33ts,288,3239.71,316.048,1024,19.68,6.02,14.75
seresnetaa50d,224,3235.08,316.472,1024,28.11,5.4,12.46
tf_efficientnetv2_b3,300,3232.69,316.734,1024,14.36,3.04,15.74
focalnet_tiny_srf,224,3226.46,317.357,1024,28.43,4.42,16.32
efficientnetv2_rw_t,288,3225.91,317.41,1024,13.65,3.19,16.42
eva02_small_patch14_224,224,3225.8,317.422,1024,21.62,6.14,18.28
gcresnext50ts,256,3223.82,317.616,1024,15.67,3.75,15.46
res2next50,224,3218.65,318.1,1024,24.67,4.2,13.71
gcresnet50t,256,3218.31,318.16,1024,25.9,5.42,14.67
gmixer_24_224,224,3213.22,318.663,1024,24.72,5.28,14.45
eca_resnet33ts,288,3197.58,320.22,1024,19.68,6.02,14.76
efficientvit_l1,224,3180.29,321.964,1024,52.65,5.27,15.85
mobileone_s3,224,3179.46,322.047,1024,10.17,1.94,13.85
repvgg_b1g4,224,3167.88,323.216,1024,39.97,8.15,10.64
gcresnet33ts,288,3167.19,323.296,1024,19.88,6.02,14.78
crossvit_18_dagger_240,240,3155.34,324.503,1024,44.27,9.5,27.03
vit_medium_patch16_gap_256,256,3146.86,325.379,1024,38.86,10.59,22.15
resnet152,176,3145.18,325.546,1024,60.19,7.22,13.99
hgnetv2_b2,288,3131.53,326.979,1024,11.22,1.89,6.8
seresnet33ts,288,3123.88,327.768,1024,19.78,6.02,14.76
regnetz_b16,288,3121.28,328.043,1024,9.72,2.39,16.43
legacy_seresnext50_32x4d,224,3106.31,329.614,1024,27.56,4.26,14.42
nextvit_small,224,3105.38,329.731,1024,31.76,5.81,18.44
convnextv2_nano,224,3104.37,329.834,1024,15.62,2.46,8.37
xcit_nano_12_p16_384,384,3100.3,330.26,1024,3.05,1.64,12.15
regnetz_c16,256,3087.39,331.642,1024,13.46,2.51,16.57
resnet26t,320,3086.83,331.703,1024,16.01,5.24,16.44
pit_b_distilled_224,224,3072.82,333.214,1024,74.79,12.5,33.07
poolformerv2_s12,224,3071.46,333.361,1024,11.89,1.83,5.53
cs3sedarknet_x,256,3067.22,333.833,1024,35.4,8.38,11.35
ecaresnet101d_pruned,288,3064.98,334.074,1024,24.88,5.75,12.71
pit_b_224,224,3054.02,335.268,1024,73.76,12.42,32.94
eva02_tiny_patch14_336,336,3050.79,335.63,1024,5.76,4.68,27.16
gc_efficientnetv2_rw_t,288,3042.11,336.591,1024,13.68,3.2,16.45
resnetrs101,192,3039.94,336.818,1024,63.62,6.04,12.7
fbnetv3_g,288,3035.76,337.294,1024,16.62,1.77,21.09
resnet51q,256,3034.29,337.446,1024,35.7,6.38,16.55
seresnext50_32x4d,224,3033.27,337.56,1024,27.56,4.26,14.42
rdnet_tiny,224,3025.51,338.425,1024,23.86,5.06,15.98
darknet53,256,2995.64,341.801,1024,41.61,9.31,12.39
ecaresnetlight,288,2980.87,343.501,1024,30.16,6.79,13.91
xcit_small_12_p16_224,224,2979.57,343.65,1024,26.25,4.82,12.58
nf_ecaresnet50,224,2969.89,344.775,1024,25.56,4.21,11.13
convnext_small,224,2968.52,344.929,1024,50.22,8.71,21.56
coatnet_bn_0_rw_224,224,2961.32,345.762,1024,27.44,4.67,22.04
densenet169,224,2960.88,345.825,1024,14.15,3.4,7.3
focalnet_tiny_lrf,224,2958.28,346.126,1024,28.65,4.49,17.76
pvt_v2_b2,224,2957.1,346.245,1024,25.36,4.05,27.53
nf_seresnet50,224,2955.47,346.454,1024,28.09,4.21,11.13
fastvit_t12,256,2935.13,348.86,1024,7.55,1.42,12.42
hgnet_tiny,288,2932.95,349.114,1024,14.74,7.51,10.51
regnetx_080,224,2928.56,349.629,1024,39.57,8.02,14.06
vit_base_resnet50d_224,224,2926.61,349.865,1024,110.97,8.73,16.92
convnext_tiny,288,2917.07,351.019,1024,28.59,7.39,22.21
mobilevitv2_150,256,2915.63,175.59,512,10.59,4.09,24.11
coatnet_rmlp_0_rw_224,224,2907.73,352.136,1024,27.45,4.72,24.89
skresnet50,224,2900.52,353.008,1024,25.8,4.11,12.5
poolformer_s24,224,2899.97,353.076,1024,21.39,3.41,10.68
mobilenetv4_hybrid_medium,384,2891.5,354.122,1024,11.07,3.01,21.18
nf_regnet_b3,320,2880.71,355.451,1024,18.59,2.05,14.61
tf_efficientnet_lite3,300,2879.81,177.761,512,8.2,1.65,21.85
resnet50_mlp,256,2876.92,355.906,1024,26.65,7.05,16.25
sehalonet33ts,256,2863.49,357.576,1024,13.69,3.55,14.7
gcvit_xtiny,224,2857.49,358.335,1024,19.98,2.93,20.26
cs3sedarknet_xdw,256,2854.33,358.703,1024,21.6,5.97,17.18
seresnext26t_32x4d,288,2852.69,358.931,1024,16.81,4.46,16.68
gmlp_s16_224,224,2850.78,359.18,1024,19.42,4.42,15.1
deit_base_patch16_224,224,2847.84,359.551,1024,86.57,17.58,23.9
resnetv2_101,224,2835.29,361.131,1024,44.54,7.83,16.23
deit_base_distilled_patch16_224,224,2834.0,361.303,1024,87.34,17.68,24.05
seresnext26d_32x4d,288,2821.4,362.912,1024,16.81,4.51,16.85
nf_resnet50,256,2816.37,363.566,1024,25.56,5.46,14.52
regnetx_064,224,2813.74,363.901,1024,26.21,6.49,16.37
ecaresnet26t,320,2807.22,364.749,1024,16.01,5.24,16.44
dla102,224,2806.5,364.845,1024,33.27,7.19,14.18
nest_tiny,224,2805.62,364.963,1024,17.06,5.83,25.48
ecaresnet50t,256,2802.02,365.426,1024,25.57,5.64,15.45
efficientnet_b3,288,2792.77,183.313,512,12.23,1.63,21.49
wide_resnet50_2,224,2792.33,366.693,1024,68.88,11.43,14.4
vit_base_patch16_224_miil,224,2791.53,366.793,1024,94.4,17.59,23.91
skresnet50d,224,2791.4,366.81,1024,25.82,4.36,13.31
vit_base_patch16_224,224,2787.15,367.372,1024,86.57,17.58,23.9
vit_base_patch16_clip_224,224,2783.55,367.849,1024,86.57,17.58,23.9
fastvit_sa12,256,2781.99,368.06,1024,11.58,1.96,14.03
vgg13,224,2780.3,368.277,1024,133.05,11.31,12.25
resnet61q,256,2779.68,368.358,1024,36.85,7.8,17.01
fastvit_s12,256,2776.35,368.806,1024,9.47,1.82,13.67
maxxvit_rmlp_nano_rw_256,256,2775.33,276.707,768,16.78,4.37,26.05
cs3edgenet_x,256,2763.68,370.501,1024,47.82,11.53,12.92
lambda_resnet50ts,256,2759.83,371.018,1024,21.54,5.07,17.48
dm_nfnet_f0,192,2757.16,371.375,1024,71.49,7.21,10.16
nest_tiny_jx,224,2755.91,371.543,1024,17.06,5.83,25.48
rexnetr_300,224,2754.02,278.836,768,34.81,3.39,22.16
cspdarknet53,256,2752.11,372.057,1024,27.64,6.57,16.81
mixnet_xl,224,2741.75,373.463,1024,11.9,0.93,14.57
resnet101,224,2736.75,374.138,1024,44.55,7.83,16.23
resnetv2_50,288,2733.41,374.59,1024,25.55,6.79,18.37
repvgg_b1,224,2730.49,374.994,1024,57.42,13.16,10.64
coatnet_0_224,224,2722.37,188.051,512,25.04,4.58,24.01
resnetv2_101d,224,2718.59,376.633,1024,44.56,8.07,17.04
wide_resnet101_2,176,2695.47,379.875,1024,126.89,14.31,13.18
vit_base_mci_224,224,2690.01,380.639,1024,86.35,17.73,24.65
beitv2_base_patch16_224,224,2684.73,381.393,1024,86.53,17.58,23.9
res2net50_26w_6s,224,2681.29,381.848,1024,37.05,6.33,15.28
rexnet_300,224,2677.08,286.849,768,34.71,3.44,22.4
swin_tiny_patch4_window7_224,224,2659.27,385.037,1024,28.29,4.51,17.06
maxxvitv2_nano_rw_256,256,2649.05,289.896,768,23.7,6.26,23.05
beit_base_patch16_224,224,2644.21,387.233,1024,86.53,17.58,23.9
resnet101d,224,2638.05,388.135,1024,44.57,8.08,17.04
vit_base_patch32_clip_448,448,2613.19,391.83,1024,88.34,17.93,23.9
resnet101c,224,2612.47,391.937,1024,44.57,8.08,17.04
mixer_b16_224,224,2607.54,392.687,1024,59.88,12.62,14.53
vit_relpos_base_patch16_clsgap_224,224,2605.09,393.051,1024,86.43,17.6,25.12
efficientnetv2_s,288,2604.83,393.096,1024,21.46,4.75,20.13
twins_pcpvt_base,224,2604.17,393.184,1024,43.83,6.68,25.25
efficientvit_b2,288,2600.38,393.768,1024,24.33,2.64,24.03
convnextv2_pico,288,2600.23,393.79,1024,9.07,2.27,10.08
vit_relpos_base_patch16_cls_224,224,2599.77,393.861,1024,86.43,17.6,25.12
efficientformer_l3,224,2594.92,394.593,1024,31.41,3.93,12.01
resnet50,288,2592.09,395.018,1024,25.56,6.8,18.37
maxvit_nano_rw_256,256,2589.91,296.516,768,15.45,4.46,30.28
maxvit_rmlp_nano_rw_256,256,2586.52,296.905,768,15.5,4.47,31.92
deit3_base_patch16_224,224,2583.38,396.36,1024,86.59,17.58,23.9
pvt_v2_b2_li,224,2575.01,397.638,1024,22.55,3.91,27.6
regnety_032,288,2560.26,399.931,1024,19.44,5.29,18.61
efficientvit_l2,224,2558.08,400.28,1024,63.71,6.97,19.58
rexnetr_200,288,2556.5,200.242,512,16.52,2.62,24.96
cs3darknet_x,288,2555.27,400.72,1024,35.05,10.6,14.36
darknetaa53,288,2551.71,401.279,1024,36.02,10.08,15.68
tresnet_v2_l,224,2548.5,401.775,1024,46.17,8.85,16.34
hgnetv2_b3,288,2548.29,401.817,1024,16.29,2.94,8.38
cs3se_edgenet_x,256,2541.11,402.95,1024,50.72,11.53,12.94
resnest50d,224,2525.71,405.398,1024,27.48,5.4,14.36
gcresnext50ts,288,2518.28,406.608,1024,15.67,4.75,19.57
gcresnet50t,288,2515.86,406.998,1024,25.9,6.86,18.57
xcit_nano_12_p8_224,224,2506.42,408.525,1024,3.05,2.16,15.71
vit_small_patch16_384,384,2502.77,409.123,1024,22.2,15.52,50.78
resnet101_clip_gap,224,2494.59,410.455,1024,42.52,9.11,17.56
hiera_base_224,224,2493.69,410.614,1024,51.52,9.4,30.42
resnetaa101d,224,2493.54,410.631,1024,44.57,9.12,17.56
resnetv2_101x1_bit,224,2493.42,410.646,1024,44.54,8.04,16.23
davit_small,224,2490.93,308.299,768,49.75,8.8,30.49
dpn68b,288,2486.84,411.746,1024,12.61,3.89,17.3
efficientnetv2_rw_s,288,2485.89,411.904,1024,23.94,4.91,21.41
hrnet_w18_ssld,224,2477.35,413.328,1024,21.3,4.32,16.31
mobilenetv4_conv_large,384,2476.57,413.456,1024,32.59,6.43,27.31
cait_xxs24_224,224,2472.37,414.153,1024,11.96,2.53,20.29
mobilevitv2_175,256,2468.71,207.376,512,14.25,5.54,28.13
resnet50t,288,2467.58,414.952,1024,25.57,7.14,19.53
vit_betwixt_patch16_reg1_gap_256,256,2466.98,415.052,1024,60.4,16.32,27.83
lamhalobotnet50ts_256,256,2464.83,415.423,1024,22.57,5.02,18.44
hrnet_w18,224,2463.39,415.645,1024,21.3,4.32,16.31
vit_base_patch16_siglip_gap_224,224,2459.11,416.38,1024,85.8,17.49,23.75
flexivit_base,240,2458.77,416.449,1024,86.59,20.29,28.36
vit_betwixt_patch16_reg4_gap_256,256,2454.92,417.093,1024,60.4,16.52,28.24
legacy_seresnet101,224,2446.63,418.514,1024,49.33,7.61,15.74
resnet50d,288,2439.85,419.669,1024,25.58,7.19,19.7
vit_base_patch16_siglip_224,224,2438.72,419.861,1024,92.88,17.73,24.06
resnet101_clip,224,2414.07,424.148,1024,56.26,9.81,18.08
tresnet_l,224,2412.56,424.417,1024,55.99,10.9,11.9
ese_vovnet39b,288,2409.2,318.758,768,24.57,11.71,11.13
darknet53,288,2407.72,425.266,1024,41.61,11.78,15.68
cs3sedarknet_x,288,2391.52,428.157,1024,35.4,10.6,14.37
mixer_l32_224,224,2388.54,428.693,1024,206.94,11.27,19.86
resnetblur101d,224,2387.51,428.868,1024,44.57,9.12,17.94
coat_lite_small,224,2386.34,429.081,1024,19.84,3.96,22.09
regnetv_040,288,2386.15,429.115,1024,20.64,6.6,20.3
swin_s3_tiny_224,224,2384.47,429.416,1024,28.33,4.64,19.13
regnety_080,224,2379.83,430.251,1024,39.18,8.0,17.97
resnetaa50,288,2379.68,430.28,1024,25.56,8.52,19.24
nextvit_base,224,2376.93,430.787,1024,44.82,8.29,23.71
vit_base_patch16_gap_224,224,2375.57,431.026,1024,86.57,17.49,25.59
sebotnet33ts_256,256,2374.22,161.709,384,13.7,3.89,17.46
resnet101s,224,2366.29,432.714,1024,44.67,9.19,18.64
convnext_tiny_hnf,288,2365.38,432.876,1024,28.59,7.39,22.21
mobileone_s4,224,2361.85,433.537,1024,14.95,3.04,17.74
regnety_040,288,2353.01,435.158,1024,20.65,6.61,20.3
vit_small_patch16_36x1_224,224,2352.87,435.189,1024,64.67,13.71,35.69
regnetv_064,224,2352.23,435.302,1024,30.58,6.39,16.41
vit_relpos_base_patch16_224,224,2344.88,436.673,1024,86.43,17.51,24.97
seresnet101,224,2343.32,436.959,1024,49.33,7.84,16.27
dla102x,224,2342.65,437.086,1024,26.31,5.89,19.42
vit_small_resnet50d_s16_224,224,2336.25,438.285,1024,57.53,13.48,24.82
ecaresnet101d,224,2325.28,440.352,1024,44.57,8.08,17.07
regnety_064,224,2324.93,440.376,1024,30.58,6.39,16.41
volo_d1_224,224,2323.65,440.668,1024,26.63,6.94,24.43
resnetv2_50d_gn,288,2323.37,440.707,1024,25.57,7.24,19.7
hiera_small_abswin_256,256,2323.14,440.761,1024,34.36,8.29,26.38
densenet201,224,2317.12,441.908,1024,20.01,4.34,7.85
resnet51q,288,2316.81,441.957,1024,35.7,8.07,20.94
efficientnet_b3,320,2307.8,221.837,512,12.23,2.01,26.52
resnet50_gn,288,2303.59,444.495,1024,25.56,6.85,18.37
halonet50ts,256,2300.62,445.077,1024,22.73,5.3,19.2
nf_resnet101,224,2293.33,446.489,1024,44.55,8.01,16.23
resnext101_32x8d,176,2291.04,446.931,1024,88.79,10.33,19.37
maxvit_tiny_rw_224,224,2283.98,336.235,768,29.06,5.11,33.11
resmlp_36_224,224,2277.0,449.683,1024,44.69,8.91,16.33
efficientnet_b3_gn,288,2272.8,225.253,512,11.73,1.74,23.35
vit_base_patch16_clip_quickgelu_224,224,2269.68,451.136,1024,86.19,17.58,23.9
legacy_xception,299,2267.92,338.617,768,22.86,8.4,35.83
tf_efficientnet_b3,300,2265.14,226.006,512,12.23,1.87,23.83
resnetaa50d,288,2259.31,453.205,1024,25.58,8.92,20.57
vitamin_small_224,224,2252.3,454.619,1024,22.03,5.92,26.38
vit_medium_patch16_rope_reg1_gap_256,256,2246.04,455.888,1024,38.74,10.63,22.26
vgg13_bn,224,2243.6,456.38,1024,133.05,11.33,12.25
sequencer2d_s,224,2241.43,456.822,1024,27.65,4.96,11.31
seresnet50,288,2233.67,458.373,1024,28.09,6.8,18.39
efficientvit_b3,224,2229.48,459.279,1024,48.65,3.99,26.9
repvgg_b2g4,224,2226.86,459.812,1024,61.76,12.63,12.9
vit_small_patch16_18x2_224,224,2225.09,460.18,1024,64.67,13.71,35.69
tf_efficientnetv2_s,300,2217.63,461.725,1024,21.46,5.35,22.73
deit3_small_patch16_384,384,2216.36,461.997,1024,22.21,15.52,50.78
resnetblur50,288,2215.39,462.19,1024,25.56,8.52,19.87
res2net101_26w_4s,224,2210.59,463.166,1024,45.21,8.1,18.45
regnety_080_tv,224,2199.69,465.492,1024,39.38,8.51,19.73
xcit_tiny_12_p16_384,384,2198.84,465.672,1024,6.72,3.64,18.26
hgnetv2_b5,288,2192.99,466.916,1024,39.57,10.84,18.5
resnext101_32x4d,224,2191.44,467.242,1024,44.18,8.01,21.23
res2net50_26w_8s,224,2190.96,467.347,1024,48.4,8.37,17.95
ecaresnet50t,288,2189.92,467.571,1024,25.57,7.14,19.55
vit_relpos_base_patch16_rpn_224,224,2183.57,468.919,1024,86.41,17.51,24.97
densenet121,288,2181.11,469.465,1024,7.98,4.74,11.41
ecaresnet50d,288,2174.22,470.95,1024,25.58,7.19,19.72
pvt_v2_b3,224,2173.14,471.171,1024,45.24,6.92,37.7
vgg16,224,2165.35,472.876,1024,138.36,15.47,13.56
vit_base_patch16_xp_224,224,2165.22,472.901,1024,86.51,17.56,23.9
vit_base_patch16_rpn_224,224,2161.0,473.826,1024,86.54,17.49,23.75
repvit_m2_3,224,2157.85,474.494,1024,23.69,4.57,26.21
cs3edgenet_x,288,2155.75,474.984,1024,47.82,14.59,16.36
mvitv2_tiny,224,2155.16,475.117,1024,24.17,4.7,21.16
swinv2_cr_tiny_224,224,2153.94,475.376,1024,28.33,4.66,28.45
nf_resnet50,288,2147.63,476.776,1024,25.56,6.88,18.37
ese_vovnet99b,224,2146.96,476.932,1024,63.2,16.51,11.27
mobilevitv2_200,256,2143.14,358.33,768,18.45,7.22,32.15
res2net101d,224,2140.6,478.302,1024,45.23,8.35,19.25
seresnet50t,288,2138.78,478.747,1024,28.1,7.14,19.55
edgenext_base,320,2134.2,479.781,1024,18.51,6.01,24.32
resnet61q,288,2130.61,480.584,1024,36.85,9.87,21.52
swinv2_cr_tiny_ns_224,224,2127.09,481.38,1024,28.33,4.66,28.45
inception_next_small,224,2115.6,484.002,1024,49.37,8.36,19.27
vit_mediumd_patch16_reg4_gap_256,256,2113.09,484.575,1024,64.11,17.87,37.57
ese_vovnet39b_evos,224,2111.78,484.876,1024,24.58,7.07,6.74
rdnet_small,224,2110.32,485.203,1024,50.44,8.74,22.55
resnext50_32x4d,288,2108.45,485.637,1024,25.03,7.04,23.81
eca_nfnet_l0,288,2099.14,487.794,1024,24.14,7.12,17.29
mobilenetv4_hybrid_medium,448,2097.44,366.139,768,11.07,4.2,29.64
convnext_base,224,2095.37,488.672,1024,88.59,15.38,28.75
resnetblur50d,288,2095.33,488.675,1024,25.58,8.92,21.19
regnety_040_sgn,288,2093.1,489.199,1024,20.65,6.67,20.3
resnet101d,256,2091.32,489.613,1024,44.57,10.55,22.25
coatnet_rmlp_1_rw_224,224,2085.77,490.917,1024,41.69,7.85,35.47
xception41p,299,2084.2,245.637,512,26.91,9.25,39.86
regnetz_040,256,2068.8,494.89,1024,27.12,4.06,24.19
nf_regnet_b4,320,2065.2,495.816,1024,30.21,3.29,19.88
regnetz_040_h,256,2063.38,496.243,1024,28.94,4.12,24.29
efficientvit_l2,256,2060.07,497.046,1024,63.71,9.09,25.49
resnest50d_4s2x40d,224,2047.78,500.025,1024,30.42,4.4,17.94
nfnet_l0,288,2047.5,500.093,1024,35.07,7.13,17.29
vit_base_patch16_reg4_gap_256,256,2044.87,500.737,1024,86.62,23.5,33.89
regnetz_d32,256,2033.99,503.413,1024,27.58,5.98,23.74
dpn92,224,2027.88,504.934,1024,37.67,6.54,18.21
regnetz_d8,256,2018.69,507.232,1024,23.37,3.97,23.74
resnext50d_32x4d,288,2012.24,508.858,1024,25.05,7.44,25.13
focalnet_small_srf,224,1995.65,513.095,1024,49.89,8.62,26.26
hgnet_small,288,1995.54,384.841,768,24.36,14.09,14.53
vgg19,224,1994.6,513.358,1024,143.67,19.63,14.86
crossvit_base_240,240,1994.0,513.516,1024,105.03,21.22,36.33
regnetz_c16,320,1992.12,513.999,1024,13.46,3.92,25.88
resnetv2_152,224,1991.8,514.076,1024,60.19,11.55,22.56
mobilenetv4_conv_aa_large,384,1988.94,514.825,1024,32.59,7.07,32.29
hiera_base_plus_224,224,1983.12,516.333,1024,69.9,12.67,37.98
regnetx_120,224,1982.95,516.372,1024,46.11,12.13,21.37
convnextv2_tiny,224,1982.1,516.59,1024,28.64,4.47,13.44
seresnetaa50d,288,1977.18,517.879,1024,28.11,8.92,20.59
repvgg_b2,224,1974.36,518.618,1024,89.02,20.45,12.9
legacy_seresnext101_32x4d,224,1971.37,519.379,1024,48.96,8.02,21.26
densenetblur121d,288,1970.87,519.545,1024,8.0,5.14,13.06
convit_small,224,1970.28,519.698,1024,27.78,5.76,17.87
coatnet_1_rw_224,224,1960.67,522.246,1024,41.72,8.04,34.6
nfnet_f0,256,1953.19,524.243,1024,71.49,12.62,18.05
botnet50ts_256,256,1951.79,262.305,512,22.74,5.54,22.23
poolformer_s36,224,1948.45,525.506,1024,30.86,5.0,15.82
convmixer_1024_20_ks9_p14,224,1942.47,527.139,1024,24.38,5.55,5.51
resnet152,224,1941.85,527.301,1024,60.19,11.56,22.56
skresnext50_32x4d,224,1938.97,528.085,1024,27.48,4.5,17.18
resnetv2_152d,224,1938.05,528.334,1024,60.2,11.8,23.36
fastvit_mci0,256,1935.03,529.168,1024,11.41,2.42,18.29
inception_v4,299,1934.57,529.276,1024,42.68,12.28,15.09
seresnext101_32x4d,224,1925.49,531.724,1024,48.96,8.02,21.26
nextvit_large,224,1924.7,532.009,1024,57.87,10.78,28.99
halo2botnet50ts_256,256,1915.33,534.611,1024,22.64,5.02,21.78
coatnet_rmlp_1_rw2_224,224,1914.3,534.892,1024,41.72,8.11,40.13
vgg16_bn,224,1909.7,536.182,1024,138.37,15.5,13.56
resnetv2_50d_frn,224,1907.53,536.788,1024,25.59,4.33,11.92
twins_svt_base,224,1904.0,537.783,1024,56.07,8.59,26.33
gcvit_tiny,224,1903.79,537.854,1024,28.22,4.79,29.82
vit_base_patch16_siglip_gap_256,256,1894.78,540.402,1024,85.84,23.13,33.23
dla169,224,1893.96,540.641,1024,53.39,11.6,20.2
convnextv2_nano,288,1893.91,405.49,768,15.62,4.06,13.84
resnet152d,224,1891.46,541.352,1024,60.21,11.8,23.36
efficientnet_el,300,1884.76,543.277,1024,10.59,8.0,30.7
resnet152c,224,1882.54,543.916,1024,60.21,11.8,23.36
twins_pcpvt_large,224,1881.08,544.338,1024,60.99,9.84,35.82
nf_ecaresnet101,224,1877.87,545.282,1024,44.55,8.01,16.27
vit_base_patch16_siglip_256,256,1875.34,546.002,1024,92.93,23.44,33.63
maxvit_tiny_tf_224,224,1873.59,409.888,768,30.92,5.6,35.78
maxxvit_rmlp_tiny_rw_256,256,1870.47,410.571,768,29.64,6.66,39.76
efficientnet_el_pruned,300,1867.55,548.285,1024,10.59,8.0,30.7
efficientnet_b3_gn,320,1866.95,205.663,384,11.73,2.14,28.83
seresnext50_32x4d,288,1856.61,551.512,1024,27.56,7.04,23.82
regnetz_b16_evos,224,1854.56,552.123,1024,9.74,1.43,9.95
nf_seresnet101,224,1848.05,554.073,1024,49.33,8.02,16.27
repvgg_b3g4,224,1843.59,555.409,1024,83.83,17.89,15.1
regnety_120,224,1840.57,556.321,1024,51.82,12.14,21.38
mobilenetv4_conv_large,448,1830.25,419.592,768,32.59,8.75,37.17
focalnet_small_lrf,224,1830.02,559.535,1024,50.34,8.74,28.61
caformer_s18,224,1825.4,560.94,1024,26.34,4.13,19.39
nest_small,224,1821.81,562.055,1024,38.35,10.35,40.04
efficientnet_b3_g8_gn,288,1817.33,422.578,768,14.25,2.59,23.35
densenet161,224,1806.94,566.679,1024,28.68,7.79,11.06
tresnet_xl,224,1805.47,567.135,1024,78.44,15.2,15.34
convnext_small,288,1801.22,568.48,1024,50.22,14.39,35.65
nest_small_jx,224,1800.35,568.755,1024,38.35,10.35,40.04
ecaresnet50t,320,1797.24,569.733,1024,25.57,8.82,24.13
vit_small_patch8_224,224,1790.17,571.984,1024,21.67,22.44,80.84
vit_large_r50_s32_224,224,1790.0,572.042,1024,328.99,19.58,24.41
efficientvit_b3,256,1789.45,429.156,768,48.65,5.2,35.01
davit_base,224,1784.6,430.324,768,87.95,15.51,40.66
tf_efficientnet_el,300,1777.69,576.0,1024,10.59,8.0,30.7
vit_base_patch16_plus_240,240,1770.19,578.441,1024,117.56,27.41,33.08
maxvit_tiny_rw_256,256,1767.83,434.406,768,29.07,6.74,44.35
maxvit_rmlp_tiny_rw_256,256,1764.91,435.129,768,29.15,6.77,46.92
sequencer2d_m,224,1760.97,581.467,1024,38.31,6.55,14.26
xception41,299,1760.86,290.748,512,26.97,9.28,39.86
resnet152s,224,1745.67,586.565,1024,60.32,12.92,24.96
efficientnet_b4,320,1740.06,294.222,512,19.34,3.13,34.76
coatnet_1_224,224,1739.09,294.386,512,42.23,8.7,39.0
resnetv2_101,288,1737.4,589.353,1024,44.54,12.94,26.83
hrnet_w30,224,1723.75,593.993,1024,37.71,8.15,21.21
mixnet_xxl,224,1723.5,445.584,768,23.96,2.04,23.43
convformer_s18,224,1723.21,594.213,1024,26.77,3.96,15.82
legacy_seresnet152,224,1717.65,596.143,1024,66.82,11.33,22.08
regnetx_160,224,1711.44,598.295,1024,54.28,15.99,25.52
resnetv2_50d_evos,224,1709.91,598.829,1024,25.59,4.33,11.92
rexnetr_300,288,1708.11,299.718,512,34.81,5.59,36.61
mobilenetv4_hybrid_large,384,1707.76,599.592,1024,37.76,7.77,34.52
eva02_base_patch16_clip_224,224,1707.16,599.804,1024,86.26,17.62,26.32
wide_resnet50_2,288,1707.11,599.82,1024,68.88,18.89,23.81
mvitv2_small_cls,224,1705.56,600.369,1024,34.87,7.04,28.17
hrnet_w32,224,1694.43,604.278,1024,41.23,8.97,22.02
xcit_tiny_12_p8_224,224,1681.45,608.969,1024,6.71,4.81,23.6
resnet101,288,1679.51,609.673,1024,44.55,12.95,26.83
tnt_s_patch16_224,224,1675.64,611.078,1024,23.76,5.24,24.37
wide_resnet101_2,224,1674.87,611.366,1024,126.89,22.8,21.23
vgg19_bn,224,1663.12,615.681,1024,143.68,19.66,14.86
cait_xxs36_224,224,1660.72,616.58,1024,17.3,3.77,30.34
swin_small_patch4_window7_224,224,1658.9,617.245,1024,49.61,8.77,27.47
seresnet152,224,1654.98,618.709,1024,66.82,11.57,22.61
vit_betwixt_patch16_rope_reg4_gap_256,256,1646.55,621.878,1024,60.23,16.52,28.24
convnext_tiny,384,1644.05,311.408,512,28.59,13.14,39.48
efficientformerv2_s0,224,1630.94,627.828,1024,3.6,0.41,5.3
cs3se_edgenet_x,320,1622.94,630.928,1024,50.72,18.01,20.21
mvitv2_small,224,1621.36,631.548,1024,34.87,7.0,28.08
vit_relpos_base_patch16_plus_240,240,1621.32,631.559,1024,117.38,27.3,34.33
efficientvit_l2,288,1608.39,636.638,1024,63.71,11.51,32.19
convnext_base,256,1605.42,637.811,1024,88.59,20.09,37.55
dm_nfnet_f0,256,1604.65,638.122,1024,71.49,12.62,18.05
dla102x2,224,1600.16,639.91,1024,41.28,9.34,29.91
maxvit_tiny_pm_256,256,1598.65,480.383,768,30.09,6.61,47.9
efficientnet_lite4,380,1596.86,240.45,384,13.01,4.04,45.66
xcit_small_24_p16_224,224,1593.77,642.475,1024,47.67,9.1,23.64
samvit_base_patch16_224,224,1591.15,643.539,1024,86.46,17.54,24.54
vit_small_r26_s32_384,384,1589.79,644.083,1024,36.47,10.43,29.85
regnety_160,224,1584.47,646.244,1024,83.59,15.96,23.04
hiera_base_abswin_256,256,1579.74,648.184,1024,51.27,12.46,40.7
hgnetv2_b6,224,1577.08,649.276,1024,75.26,16.88,21.23
vit_base_r50_s16_224,224,1574.79,650.212,1024,97.89,21.66,35.28
poolformerv2_s24,224,1572.19,651.293,1024,21.34,3.42,10.68
coat_tiny,224,1561.91,655.584,1024,5.5,4.35,27.2
pvt_v2_b4,224,1560.91,655.996,1024,62.56,10.14,53.74
pvt_v2_b5,224,1557.23,657.547,1024,81.96,11.76,50.92
eca_nfnet_l1,256,1553.7,659.05,1024,41.41,9.62,22.04
repvgg_b3,224,1551.91,659.803,1024,123.09,29.16,15.1
xception65p,299,1551.33,329.999,512,39.82,13.91,52.48
swinv2_tiny_window8_256,256,1547.17,661.823,1024,28.35,5.96,24.57
resnetaa101d,288,1535.29,666.945,1024,44.57,15.07,29.03
fastvit_sa24,256,1525.62,671.177,1024,21.55,3.8,24.32
efficientnetv2_s,384,1507.35,679.311,1024,21.46,8.44,35.77
efficientformerv2_s1,224,1505.34,680.214,1024,6.19,0.67,7.66
resnet152d,256,1501.71,681.861,1024,60.21,15.41,30.51
inception_next_base,224,1485.4,689.354,1024,86.67,14.85,25.69
efficientnet_b3_g8_gn,320,1480.62,518.679,768,14.25,3.2,28.83
regnety_080,288,1476.82,693.353,1024,39.18,13.22,29.69
dpn98,224,1476.36,693.573,1024,61.57,11.73,25.2
mobilenetv4_conv_aa_large,448,1470.08,522.395,768,32.59,9.63,43.94
hrnet_w18_ssld,288,1462.78,700.012,1024,21.3,7.14,26.96
resnetblur101d,288,1462.58,700.1,1024,44.57,15.07,29.65
rdnet_base,224,1460.56,525.796,768,87.45,15.4,31.14
hgnet_base,224,1454.32,528.06,768,71.58,25.14,15.47
efficientnetv2_rw_s,384,1440.54,710.82,1024,23.94,8.72,38.03
nf_regnet_b4,384,1439.96,711.11,1024,30.21,4.7,28.61
seresnet101,288,1437.85,712.145,1024,49.33,12.95,26.87
regnetv_064,288,1435.74,713.191,1024,30.58,10.55,27.11
focalnet_base_srf,224,1425.69,718.219,1024,88.15,15.28,35.01
eva02_small_patch14_336,336,1424.13,719.007,1024,22.13,15.48,54.33
ecaresnet101d,288,1423.42,719.366,1024,44.57,13.35,28.19
regnety_064,288,1420.12,720.99,1024,30.58,10.56,27.11
tf_efficientnetv2_s,384,1419.64,721.279,1024,21.46,8.44,35.77
tf_efficientnet_lite4,380,1419.26,270.533,384,13.01,4.04,45.66
inception_resnet_v2,299,1412.75,724.752,1024,55.84,13.18,25.06
resnext101_64x4d,224,1412.06,725.153,1024,83.46,15.52,31.21
crossvit_15_dagger_408,408,1397.53,732.691,1024,28.5,21.45,95.05
resnext101_32x8d,224,1396.99,732.978,1024,88.79,16.48,31.21
resnet200,224,1396.79,733.081,1024,64.67,15.07,32.19
efficientvit_b3,288,1387.6,553.447,768,48.65,6.58,44.2
resnetrs101,288,1381.07,741.426,1024,63.62,13.56,28.53
poolformer_m36,224,1377.13,743.544,1024,56.17,8.8,22.02
maxvit_rmlp_small_rw_224,224,1365.13,562.563,768,64.9,10.75,49.3
vit_mediumd_patch16_rope_reg1_gap_256,256,1360.17,752.819,1024,63.95,17.65,37.02
resnext101_32x4d,288,1355.28,755.535,1024,44.18,13.24,35.09
vit_so150m_patch16_reg4_gap_256,256,1352.83,756.904,1024,134.13,36.75,53.21
vit_medium_patch16_gap_384,384,1340.12,764.084,1024,39.03,26.08,67.54
vit_so150m_patch16_reg4_map_256,256,1340.1,764.094,1024,141.48,37.18,53.68
swinv2_cr_small_224,224,1339.46,764.46,1024,49.7,9.07,50.27
resnet101d,320,1328.63,770.69,1024,44.57,16.48,34.77
regnetz_040,320,1328.31,385.424,512,27.12,6.35,37.78
swinv2_cr_small_ns_224,224,1326.17,772.119,1024,49.7,9.08,50.27
regnetz_040_h,320,1323.75,386.752,512,28.94,6.43,37.94
focalnet_base_lrf,224,1318.02,776.898,1024,88.75,15.43,38.13
eva02_base_patch14_224,224,1315.36,778.472,1024,85.76,23.22,36.55
xception65,299,1311.64,390.314,512,39.92,13.96,52.48
vit_base_patch16_rope_reg1_gap_256,256,1310.51,781.347,1024,86.43,23.22,33.39
nest_base,224,1310.17,781.549,1024,67.72,17.96,53.39
convnextv2_small,224,1310.01,781.645,1024,50.32,8.71,21.56
nfnet_f1,224,1306.81,783.562,1024,132.63,17.87,22.94
efficientnetv2_m,320,1304.81,784.765,1024,54.14,11.01,39.97
volo_d2_224,224,1303.25,785.708,1024,58.68,14.34,41.34
coatnet_2_rw_224,224,1301.67,393.319,512,73.87,15.09,49.22
regnetz_d32,320,1300.21,787.532,1024,27.58,9.33,37.08
seresnext101_64x4d,224,1298.53,788.558,1024,88.23,15.53,31.25
nest_base_jx,224,1295.76,790.243,1024,67.72,17.96,53.39
gmlp_b16_224,224,1289.85,793.862,1024,73.08,15.78,30.21
mobilevitv2_150,384,1286.35,198.995,256,10.59,9.2,54.25
hrnet_w40,224,1285.98,796.256,1024,57.56,12.75,25.29
regnetz_d8,320,1285.82,796.348,1024,23.37,6.19,37.08
seresnext101_32x8d,224,1284.38,797.243,1024,93.57,16.48,31.25
seresnet152d,256,1276.56,802.126,1024,66.84,15.42,30.56
resnetrs152,256,1273.91,803.74,1024,86.62,15.59,30.83
mobilenetv4_conv_aa_large,480,1272.27,603.62,768,32.59,11.05,50.45
convnextv2_tiny,288,1271.26,604.097,768,28.64,7.39,22.21
cait_s24_224,224,1270.01,806.265,1024,46.92,9.35,40.58
convnext_base,288,1266.87,808.261,1024,88.59,25.43,47.53
seresnext101d_32x8d,224,1264.56,809.737,1024,93.59,16.72,32.05
resnest101e,256,1259.59,812.93,1024,48.28,13.38,28.66
efficientformer_l7,224,1257.98,813.975,1024,82.23,10.17,24.45
twins_svt_large,224,1250.2,819.039,1024,99.27,15.15,35.1
maxvit_small_tf_224,224,1245.42,411.087,512,68.93,11.66,53.17
maxxvit_rmlp_small_rw_256,256,1239.49,619.588,768,66.01,14.67,58.38
mobilenetv4_hybrid_large,448,1233.31,622.691,768,37.76,10.74,48.61
resnet50x4_clip_gap,288,1228.45,833.533,1024,65.62,19.57,34.11
coatnet_rmlp_2_rw_224,224,1227.94,416.935,512,73.88,15.18,54.78
coat_mini,224,1224.8,836.033,1024,10.34,6.82,33.68
coatnet_2_224,224,1217.65,420.455,512,74.68,16.5,52.67
coat_lite_medium,224,1217.51,841.038,1024,44.57,9.81,40.06
efficientnet_b4,384,1211.17,317.024,384,19.34,4.51,50.04
swin_base_patch4_window7_224,224,1207.02,848.341,1024,87.77,15.47,36.63
convnext_large,224,1206.16,848.95,1024,197.77,34.4,43.13
tresnet_m,448,1204.65,850.01,1024,31.39,22.99,29.21
mvitv2_base_cls,224,1201.41,852.308,1024,65.44,10.23,40.65
vit_large_patch32_384,384,1196.88,855.533,1024,306.63,45.31,43.86
resnet152,288,1192.43,858.72,1024,60.19,19.11,37.28
seresnext101_32x4d,288,1192.03,859.008,1024,48.96,13.25,35.12
tiny_vit_21m_384,384,1188.05,646.409,768,21.23,13.77,77.83
seresnextaa101d_32x8d,224,1183.29,865.35,1024,93.59,17.25,34.16
resnet50x4_clip,288,1179.84,867.878,1024,87.14,21.35,35.27
xcit_tiny_24_p16_384,384,1171.17,874.311,1024,12.12,6.87,34.29
levit_conv_384_s8,224,1166.16,439.026,512,39.12,9.98,35.86
dm_nfnet_f1,224,1150.17,890.285,1024,132.63,17.87,22.94
regnetz_e8,256,1147.85,892.072,1024,57.7,9.91,40.94
swin_s3_small_224,224,1145.1,670.656,768,49.74,9.43,37.84
mvitv2_base,224,1138.44,899.454,1024,51.47,10.16,40.5
sequencer2d_l,224,1135.5,901.779,1024,54.3,9.74,22.12
efficientnetv2_rw_m,320,1134.41,902.651,1024,53.24,12.72,47.14
gcvit_small,224,1132.43,904.224,1024,51.09,8.57,41.61
regnety_120,288,1127.97,680.842,768,51.82,20.06,35.34
hrnet_w44,224,1125.91,909.412,1024,67.06,14.94,26.92
levit_384_s8,224,1123.29,455.784,512,39.12,9.98,35.86
regnetz_b16_evos,288,1122.27,684.3,768,9.74,2.36,16.43
hrnet_w48_ssld,224,1116.96,916.749,1024,77.47,17.34,28.56
hrnet_w48,224,1113.97,919.215,1024,77.47,17.34,28.56
regnetz_c16_evos,256,1112.53,690.289,768,13.49,2.48,16.57
tf_efficientnet_b4,380,1110.38,345.798,384,19.34,4.49,49.49
xcit_medium_24_p16_224,224,1105.25,926.46,1024,84.4,16.13,31.71
tnt_b_patch16_224,224,1094.56,935.51,1024,65.41,14.09,39.01
mobilevitv2_175,384,1091.31,234.563,256,14.25,12.47,63.29
dpn131,224,1083.25,945.269,1024,79.25,16.09,32.97
nextvit_small,384,1081.98,946.382,1024,31.76,17.26,57.14
resnet200d,256,1077.87,949.987,1024,64.69,20.0,43.09
vit_betwixt_patch16_reg4_gap_384,384,1077.83,950.026,1024,60.6,39.71,85.28
efficientvit_l3,224,1066.9,719.814,768,246.04,27.62,39.16
convnextv2_nano,384,1066.76,359.947,384,15.62,7.22,24.61
maxvit_rmlp_small_rw_256,256,1061.31,723.613,768,64.9,14.15,66.09
poolformerv2_s36,224,1054.78,970.792,1024,30.79,5.01,15.82
fastvit_sa36,256,1050.89,974.39,1024,31.53,5.64,34.61
davit_large,224,1043.66,735.848,768,196.81,34.6,60.99
convit_base,224,1041.2,983.452,1024,86.54,17.52,31.77
legacy_senet154,224,1041.02,983.633,1024,115.09,20.77,38.69
resnetv2_50d_evos,288,1038.94,985.591,1024,25.59,7.15,19.7
poolformer_m48,224,1037.67,986.794,1024,73.47,11.59,29.17
vitamin_base_224,224,1035.95,494.209,512,87.72,22.68,52.77
crossvit_18_dagger_408,408,1032.79,991.461,1024,44.61,32.47,124.87
fastvit_mci1,256,1032.41,991.824,1024,21.54,4.72,32.84
maxxvitv2_rmlp_base_rw_224,224,1032.37,743.892,768,116.09,24.2,62.77
swinv2_base_window12_192,192,1028.07,996.011,1024,109.28,11.9,39.72
convnext_base,320,1024.52,749.592,768,88.59,31.39,58.68
xcit_small_12_p16_384,384,1021.49,1002.43,1024,26.25,14.14,36.51
resnetv2_50x1_bit,448,1019.03,502.406,512,25.55,16.62,44.46
senet154,224,1016.88,1006.903,1024,115.09,20.77,38.69
densenet264d,224,1016.07,1007.782,1024,72.74,13.57,14.0
convnext_small,384,1015.93,755.929,768,50.22,25.58,63.37
seresnet152,288,1013.71,1010.121,1024,66.82,19.11,37.34
regnety_320,224,1007.78,1016.066,1024,145.05,32.34,30.26
dpn107,224,1005.01,1018.86,1024,86.92,18.38,33.46
xception71,299,1004.0,509.938,512,42.34,18.09,69.92
hgnetv2_b6,288,981.26,782.643,768,75.26,27.9,35.09
swinv2_cr_base_224,224,978.09,1046.904,1024,87.88,15.86,59.66
eca_nfnet_l1,320,976.83,1048.265,1024,41.41,14.92,34.42
regnety_160,288,976.51,524.284,512,83.59,26.37,38.07
caformer_s36,224,971.41,1054.103,1024,39.3,8.0,37.53
swinv2_cr_base_ns_224,224,970.9,1054.655,1024,87.88,15.86,59.66
mobilenetv4_conv_aa_large,544,968.9,528.415,512,32.59,14.19,64.79
swinv2_small_window8_256,256,964.83,1061.297,1024,49.73,11.58,40.14
resnetv2_50x3_bit,224,964.09,796.571,768,217.32,37.06,33.34
regnetx_320,224,962.49,1063.881,1024,107.81,31.81,36.3
swinv2_cr_small_ns_256,256,961.42,1065.06,1024,49.7,12.07,76.21
nf_regnet_b5,384,955.45,803.79,768,49.74,7.95,42.9
swin_s3_base_224,224,954.89,1072.349,1024,71.13,13.69,48.26
resnet152d,320,952.68,1074.832,1024,60.21,24.08,47.67
swinv2_tiny_window16_256,256,949.54,404.378,384,28.35,6.68,39.02
mobilevitv2_200,384,949.03,269.729,256,18.45,16.24,72.34
efficientvit_l2,384,946.77,540.762,512,63.71,20.45,57.01
coat_small,224,946.54,1081.808,1024,21.69,12.61,44.25
convnextv2_base,224,943.15,814.261,768,88.72,15.38,28.75
volo_d3_224,224,938.88,1090.634,1024,86.33,20.78,60.09
ecaresnet200d,256,930.32,1100.668,1024,64.69,20.0,43.15
vit_mediumd_patch16_reg4_gap_384,384,927.5,1104.011,1024,64.27,43.67,113.51
deit_base_patch16_384,384,924.35,1107.782,1024,86.86,55.54,101.56
deit_base_distilled_patch16_384,384,923.14,1109.233,1024,87.63,55.65,101.82
convnext_large_mlp,256,921.21,833.66,768,200.13,44.94,56.33
vit_base_patch16_384,384,915.77,1118.154,1024,86.86,55.54,101.56
convformer_s36,224,915.39,1118.618,1024,40.01,7.67,30.5
vit_base_patch16_clip_384,384,912.89,1121.683,1024,86.86,55.54,101.56
vit_large_patch16_224,224,912.7,1121.913,1024,304.33,61.6,63.52
eva_large_patch14_196,196,906.88,1129.113,1024,304.14,61.57,63.52
seresnet200d,256,906.73,1129.3,1024,71.86,20.01,43.15
resnetrs200,256,903.32,1133.498,1024,93.21,20.18,43.42
hgnet_base,288,882.61,580.058,512,71.58,41.55,25.57
xcit_tiny_24_p8_224,224,882.26,1160.631,1024,12.11,9.21,45.39
rdnet_large,224,880.89,581.2,512,186.27,34.74,46.67
resnext101_64x4d,288,874.91,1170.378,1024,83.46,25.66,51.59
fastvit_ma36,256,873.15,1172.691,1024,44.07,7.88,41.09
tf_efficientnetv2_m,384,871.16,1175.422,1024,54.14,15.85,57.52
beit_large_patch16_224,224,866.7,1181.465,1024,304.43,61.6,63.52
hrnet_w64,224,866.3,1181.977,1024,128.06,28.97,35.09
efficientvit_l3,256,859.51,893.502,768,246.04,36.06,50.98
mixer_l16_224,224,858.48,1192.773,1024,208.2,44.6,41.69
vit_small_patch14_dinov2,518,855.54,1196.86,1024,22.06,46.76,198.79
beitv2_large_patch16_224,224,855.13,1197.449,1024,304.43,61.6,63.52
resnet200,288,849.17,1205.852,1024,64.67,24.91,53.21
xcit_nano_12_p8_384,384,849.15,1205.887,1024,3.05,6.34,46.08
nextvit_base,384,845.41,1211.22,1024,44.82,24.64,73.95
deit3_base_patch16_384,384,844.28,1212.833,1024,86.88,55.54,101.56
deit3_large_patch16_224,224,842.04,1216.066,1024,304.37,61.6,63.52
gcvit_base,224,837.14,1223.178,1024,90.32,14.87,55.48
vit_base_patch16_18x2_224,224,836.78,1223.713,1024,256.73,52.51,71.38
beit_base_patch16_384,384,834.75,1226.684,1024,86.74,55.54,101.56
hiera_large_224,224,833.73,1228.187,1024,213.74,40.34,83.37
maxvit_rmlp_base_rw_224,224,831.5,923.612,768,116.14,23.15,92.64
vit_small_patch14_reg4_dinov2,518,820.76,1247.592,1024,22.06,46.95,199.77
seresnet152d,320,810.78,1262.948,1024,66.84,24.09,47.72
resnetrs152,320,806.91,1269.013,1024,86.62,24.34,48.14
vit_base_patch16_siglip_gap_384,384,803.81,1273.896,1024,86.09,55.43,101.3
resnext101_32x16d,224,802.86,1275.414,1024,194.03,36.27,51.18
volo_d1_384,384,801.94,1276.869,1024,26.78,22.75,108.55
levit_conv_512_s8,224,796.51,321.385,256,74.05,21.82,52.28
vit_base_patch16_siglip_384,384,796.23,1286.031,1024,93.18,56.12,102.2
efficientformerv2_s2,224,793.27,1290.823,1024,12.71,1.27,11.77
flexivit_large,240,792.48,1292.113,1024,304.36,70.99,75.39
seresnext101_32x8d,288,790.85,1294.776,1024,93.57,27.24,51.63
convnext_xlarge,224,789.11,973.216,768,350.2,60.98,57.5
seresnext101d_32x8d,288,779.13,1314.209,1024,93.59,27.64,52.95
fastvit_mci2,256,770.69,1328.66,1024,35.82,7.91,43.34
xcit_small_12_p8_224,224,768.93,1331.684,1024,26.21,18.69,47.21
efficientnetv2_m,416,757.66,1351.509,1024,54.14,18.6,67.5
levit_512_s8,224,756.91,338.197,256,74.05,21.82,52.28
nfnet_f2,256,754.41,1357.331,1024,193.78,33.76,41.85
poolformerv2_m36,224,753.91,1358.223,1024,56.08,8.81,22.02
coatnet_rmlp_3_rw_224,224,747.12,342.626,256,165.15,33.56,79.47
swin_large_patch4_window7_224,224,734.47,1045.628,768,196.53,34.53,54.94
coatnet_3_rw_224,224,734.18,348.657,256,181.81,33.44,73.83
coatnet_3_224,224,734.12,348.691,256,166.97,36.56,79.01
efficientnet_b5,416,732.18,349.614,256,30.39,8.27,80.68
maxvit_base_tf_224,224,727.37,703.885,512,119.47,24.04,95.01
seresnextaa101d_32x8d,288,726.54,1409.397,1024,93.59,28.51,56.44
regnetz_e8,320,726.44,1057.182,768,57.7,15.46,63.94
convnext_large,288,724.73,706.442,512,197.77,56.87,71.29
convnextv2_tiny,384,722.62,531.372,384,28.64,13.14,39.48
ecaresnet200d,288,722.05,1418.16,1024,64.69,25.31,54.59
regnetz_d8_evos,256,720.34,1421.53,1024,23.46,4.5,24.92
resnetv2_152x2_bit,224,716.98,1428.18,1024,236.34,46.95,45.11
seresnet269d,256,714.47,1433.198,1024,113.67,26.59,53.6
convnext_base,384,714.31,716.749,512,88.59,45.21,84.49
regnetz_c16_evos,320,711.04,720.042,512,13.49,3.86,25.88
seresnet200d,288,706.46,1449.448,1024,71.86,25.32,54.6
caformer_m36,224,705.55,1451.316,1024,56.2,13.29,50.48
swinv2_base_window8_256,256,704.56,1090.005,768,87.92,20.37,52.59
davit_huge,224,697.25,734.284,512,348.92,61.23,81.32
xcit_large_24_p16_224,224,695.71,1471.847,1024,189.1,35.86,47.27
nextvit_large,384,694.8,1473.781,1024,57.87,32.03,90.76
nfnet_f1,320,694.64,1474.11,1024,132.63,35.97,46.77
resnetrs270,256,693.43,1476.685,1024,129.86,27.06,55.84
maxxvitv2_rmlp_large_rw_224,224,685.54,1120.26,768,215.42,44.14,87.15
resnet200d,320,684.31,1496.359,1024,64.69,31.25,67.33
eca_nfnet_l2,320,677.83,1510.682,1024,56.72,20.95,47.43
hrnet_w48_ssld,288,674.81,1517.452,1024,77.47,28.66,47.21
convformer_m36,224,673.4,1520.613,1024,57.05,12.89,42.05
vit_large_patch14_224,224,671.42,1525.099,1024,304.2,81.08,88.79
efficientnetv2_rw_m,416,660.69,1162.389,768,53.24,21.49,79.62
vit_base_patch8_224,224,659.1,1165.195,768,86.58,78.22,161.69
vit_large_patch14_clip_224,224,658.44,1555.16,1024,304.2,81.08,88.79
resnetv2_101x1_bit,448,655.55,780.987,512,44.54,31.65,64.93
swinv2_large_window12_192,192,647.21,791.055,512,228.77,26.17,56.53
nf_regnet_b5,456,647.09,791.219,512,49.74,11.7,61.95
efficientnet_b5,448,640.21,399.84,256,30.39,9.59,93.56
tiny_vit_21m_512,512,639.87,600.092,384,21.27,27.02,177.93
dm_nfnet_f2,256,635.02,1612.538,1024,193.78,33.76,41.85
tresnet_l,448,634.37,1614.169,1024,55.99,43.59,47.56
halonet_h1,256,633.74,403.931,256,8.1,3.0,51.17
caformer_s18,384,629.68,813.073,512,26.34,13.42,77.34
vit_large_patch16_siglip_gap_256,256,628.22,1629.977,1024,303.36,80.8,88.34
maxvit_tiny_tf_384,384,626.52,408.586,256,30.98,17.53,123.42
vit_large_patch16_siglip_256,256,625.66,1636.644,1024,315.96,81.34,88.88
vit_large_r50_s32_384,384,615.76,1662.953,1024,329.09,57.43,76.52
regnety_640,224,613.16,1252.507,768,281.38,64.16,42.5
swinv2_cr_large_224,224,606.35,1266.568,768,196.68,35.1,78.42
swinv2_small_window16_256,256,601.52,638.354,384,49.73,12.82,66.29
seresnextaa101d_32x8d,320,597.68,1284.933,768,93.59,35.19,69.67
convnextv2_large,224,595.67,859.51,512,197.96,34.4,43.13
convmixer_768_32,224,587.98,1741.521,1024,21.11,19.55,25.95
convnext_large_mlp,320,587.82,870.986,512,200.13,70.21,88.02
convformer_s18,384,584.32,876.206,512,26.77,11.63,46.49
volo_d4_224,224,581.51,1760.899,1024,192.96,44.34,80.22
convnextv2_base,288,576.25,888.468,512,88.72,25.43,47.53
resnetrs200,320,573.92,1784.186,1024,93.21,31.51,67.81
dm_nfnet_f1,320,570.82,1793.897,1024,132.63,35.97,46.77
resnetv2_101x3_bit,224,568.43,1351.065,768,387.93,71.23,48.7
poolformerv2_m48,224,567.13,1805.556,1024,73.35,11.59,29.17
vit_large_patch14_clip_quickgelu_224,224,566.47,1807.657,1024,303.97,81.08,88.79
xcit_tiny_12_p8_384,384,566.0,1809.156,1024,6.71,14.13,69.14
regnety_160,384,565.42,679.108,384,83.59,46.87,67.67
seresnet269d,288,556.07,1841.481,1024,113.67,33.65,67.81
vit_large_patch14_xp_224,224,555.64,1842.897,1024,304.06,81.01,88.79
tf_efficientnet_b5,456,553.22,462.718,256,30.39,10.46,98.86
tf_efficientnetv2_m,480,552.28,1390.555,768,54.14,24.76,89.84
xcit_small_24_p16_384,384,550.05,1861.633,1024,47.67,26.72,68.58
efficientvit_l3,320,548.76,932.978,512,246.04,56.32,79.34
vit_base_r50_s16_384,384,528.19,1938.65,1024,98.95,67.43,135.03
swinv2_cr_tiny_384,384,527.59,485.193,256,28.33,15.34,161.01
inception_next_base,384,523.15,978.654,512,86.67,43.64,75.48
caformer_b36,224,522.73,1469.167,768,98.75,23.22,67.3
efficientformerv2_l,224,520.87,1965.917,1024,26.32,2.59,18.54
maxvit_large_tf_224,224,511.9,750.122,384,211.79,43.68,127.35
efficientnetv2_l,384,505.24,2026.716,1024,118.52,36.1,101.16
convformer_b36,224,493.89,1554.99,768,99.88,22.69,56.06
nasnetalarge,331,490.88,782.249,384,88.75,23.89,90.56
vitamin_large2_224,224,490.43,1043.963,512,333.58,75.05,112.83
vitamin_large_224,224,490.33,1044.155,512,333.32,75.05,112.83
tf_efficientnetv2_l,384,486.38,2105.328,1024,118.52,36.1,101.16
eca_nfnet_l2,384,481.18,1596.052,768,56.72,30.05,68.28
convnext_xlarge,288,474.06,809.995,384,350.2,100.8,95.05
tresnet_xl,448,468.78,1638.268,768,78.44,60.77,61.31
ecaresnet269d,320,467.07,2192.338,1024,102.09,41.53,83.69
vit_so400m_patch14_siglip_gap_224,224,464.21,2205.889,1024,412.44,109.57,106.13
vit_so400m_patch14_siglip_224,224,463.58,2208.874,1024,427.68,110.26,106.73
regnetz_d8_evos,320,459.77,1670.385,768,23.46,7.03,38.92
pnasnet5large,331,451.71,850.077,384,86.06,25.04,92.89
coatnet_4_224,224,448.81,570.366,256,275.43,62.48,129.26
volo_d2_384,384,446.3,1720.798,768,58.87,46.17,184.51
swinv2_base_window16_256,256,443.63,865.555,384,87.92,22.02,84.71
swinv2_base_window12to16_192to256,256,443.19,866.406,384,87.92,22.02,84.71
eca_nfnet_l3,352,438.82,2333.492,1024,72.04,32.57,73.12
vit_base_patch16_siglip_gap_512,512,436.48,1172.98,512,86.43,107.0,246.15
resnest200e,320,433.87,2360.1,1024,70.2,35.69,82.78
repvgg_d2se,320,433.46,2362.343,1024,133.33,74.57,46.82
vit_base_patch16_siglip_512,512,432.68,1183.28,512,93.52,108.22,247.74
resnetrs350,288,431.8,2371.351,1024,163.96,43.67,87.09
eva02_large_patch14_224,224,427.61,2394.657,1024,303.27,81.15,97.2
eva02_large_patch14_clip_224,224,422.17,2425.529,1024,304.11,81.18,97.2
maxvit_small_tf_384,384,417.56,459.79,192,69.02,35.87,183.65
xcit_small_24_p8_224,224,413.85,2474.292,1024,47.63,35.81,90.78
coat_lite_medium_384,384,412.65,1240.736,512,44.57,28.73,116.7
cait_xxs24_384,384,409.04,2503.383,1024,12.03,9.63,122.66
convnext_large,384,408.43,626.768,256,197.77,101.1,126.74
convnext_large_mlp,384,408.43,626.758,256,200.13,101.11,126.74
resnet50x16_clip_gap,384,408.06,1254.695,512,136.2,70.32,100.64
coatnet_rmlp_2_rw_384,384,407.99,470.57,192,73.88,47.69,209.43
resnext101_32x32d,224,402.22,1272.909,512,468.53,87.29,91.12
nfnet_f2,352,397.35,1932.786,768,193.78,63.22,79.06
mvitv2_large_cls,224,396.76,1935.67,768,234.58,42.17,111.69
resnet50x16_clip,384,396.57,1291.043,512,167.33,74.9,103.54
ecaresnet269d,352,387.68,2641.296,1024,102.09,50.25,101.25
volo_d5_224,224,384.55,2662.854,1024,295.46,72.4,118.11
xcit_medium_24_p16_384,384,381.47,2684.348,1024,84.4,47.39,91.64
mvitv2_large,224,376.52,1359.807,512,217.99,43.87,112.02
vitamin_large2_256,256,375.97,1021.316,384,333.64,99.0,154.99
vitamin_large_256,256,375.75,1021.913,384,333.38,99.0,154.99
hiera_huge_224,224,370.3,1382.641,512,672.78,124.85,150.95
nfnet_f3,320,368.66,2777.571,1024,254.92,68.77,83.93
efficientvit_l3,384,368.28,1042.649,384,246.04,81.08,114.02
resnetrs270,352,365.8,2799.336,1024,129.86,51.13,105.48
efficientnetv2_xl,384,365.74,2799.773,1024,208.12,52.81,139.2
convnextv2_large,288,360.11,710.871,256,197.96,56.87,71.29
regnety_320,384,355.95,1078.775,384,145.05,95.0,88.87
tf_efficientnetv2_xl,384,352.9,2901.677,1024,208.12,52.81,139.2
maxvit_tiny_tf_512,512,350.4,365.274,128,31.05,33.49,257.59
efficientnet_b6,528,348.25,367.527,128,43.04,19.4,167.39
vit_huge_patch14_224,224,346.11,2958.6,1024,630.76,167.4,139.41
resmlp_big_24_224,224,346.09,2958.721,1024,129.14,100.23,87.31
vit_huge_patch14_clip_224,224,345.85,2960.828,1024,632.05,167.4,139.41
maxxvitv2_rmlp_base_rw_384,384,338.23,1135.306,384,116.09,72.98,213.74
dm_nfnet_f2,352,333.3,2304.205,768,193.78,63.22,79.06
caformer_s36,384,330.56,1548.873,512,39.3,26.08,150.33
vit_base_patch14_dinov2,518,330.07,1551.146,512,86.58,151.71,397.58
deit3_huge_patch14_224,224,328.48,3117.396,1024,632.13,167.4,139.41
vit_base_patch14_reg4_dinov2,518,326.8,1566.682,512,86.58,152.25,399.53
swinv2_cr_small_384,384,326.37,784.356,256,49.7,29.7,298.03
convnextv2_base,384,326.0,785.254,256,88.72,45.21,84.49
efficientnetv2_l,480,324.02,1580.122,512,118.52,56.4,157.99
tf_efficientnet_b6,528,322.38,397.021,128,43.04,19.4,167.39
vit_huge_patch14_gap_224,224,320.65,3193.485,1024,630.76,166.73,138.74
eva02_base_patch14_448,448,313.01,1635.692,512,87.12,107.11,259.14
convformer_s36,384,312.77,1636.965,512,40.01,22.54,89.62
tf_efficientnetv2_l,480,311.92,1641.431,512,118.52,56.4,157.99
regnety_1280,224,311.67,1642.714,512,644.81,127.66,71.58
dm_nfnet_f3,320,308.4,3320.307,1024,254.92,68.77,83.93
focalnet_huge_fl3,224,308.26,1660.931,512,745.28,118.26,104.8
maxvit_xlarge_tf_224,224,304.7,840.149,256,506.99,97.52,191.04
convmixer_1536_20,224,304.65,3361.196,1024,51.63,48.68,33.03
vit_huge_patch14_clip_quickgelu_224,224,301.93,3391.487,1024,632.08,167.4,139.41
xcit_tiny_24_p8_384,384,301.9,3391.864,1024,12.11,27.05,132.95
seresnextaa201d_32x8d,320,301.18,3399.969,1024,149.39,70.22,138.71
rdnet_large,384,300.8,638.262,192,186.27,102.09,137.13
vitamin_xlarge_256,256,299.66,854.266,256,436.06,130.13,177.37
resnetrs420,320,299.37,3420.532,1024,191.89,64.2,126.56
swin_base_patch4_window12_384,384,298.5,857.581,256,87.9,47.19,134.78
vit_large_patch16_384,384,297.48,2581.665,768,304.72,191.21,270.24
vit_huge_patch14_xp_224,224,293.38,3490.267,1024,631.8,167.3,139.41
eva_large_patch14_336,336,293.21,2619.236,768,304.53,191.1,270.24
vit_large_patch14_clip_336,336,291.64,2633.322,768,304.53,191.11,270.24
swinv2_cr_huge_224,224,289.13,1328.114,384,657.83,115.97,121.08
cait_xs24_384,384,285.75,2687.593,768,26.67,19.28,183.98
xcit_medium_24_p8_224,224,285.74,3583.627,1024,84.32,63.53,121.23
sam2_hiera_tiny,896,284.13,225.218,64,26.85,99.86,384.63
swinv2_large_window12to16_192to256,256,282.09,680.616,192,196.74,47.81,121.53
convnext_xxlarge,256,281.32,909.972,256,846.47,198.09,124.45
maxvit_rmlp_base_rw_384,384,277.19,1385.303,384,116.14,70.97,318.95
davit_giant,224,275.78,1392.401,384,1406.47,192.92,153.06
beit_large_patch16_384,384,274.3,3733.061,1024,305.0,191.21,270.24
convnextv2_huge,224,273.48,936.071,256,660.29,115.0,79.07
cait_xxs36_384,384,273.32,3746.438,1024,17.37,14.35,183.7
deit3_large_patch16_384,384,271.88,3766.274,1024,304.76,191.21,270.24
vit_giant_patch16_gap_224,224,271.62,3769.888,1024,1011.37,202.46,139.26
eca_nfnet_l3,448,271.28,1887.306,512,72.04,52.55,118.4
convnext_xlarge,384,266.61,960.183,256,350.2,179.2,168.99
vit_large_patch16_siglip_gap_384,384,265.41,2893.649,768,303.69,190.85,269.55
xcit_small_12_p8_384,384,264.43,1452.163,384,26.21,54.92,138.29
vit_large_patch16_siglip_384,384,264.41,2904.586,768,316.28,192.07,270.75
resnetv2_152x2_bit,384,257.56,1490.858,384,236.34,136.16,132.56
coatnet_5_224,224,255.18,752.374,192,687.47,145.49,194.24
vit_large_patch14_clip_quickgelu_336,336,250.08,3071.031,768,304.29,191.11,270.24
resnetv2_152x4_bit,224,249.77,2049.841,512,936.53,186.9,90.22
resnetv2_50x3_bit,448,246.98,777.372,192,217.32,145.7,133.37
maxvit_base_tf_384,384,242.99,790.147,192,119.65,73.8,332.9
sam2_hiera_small,896,242.55,263.836,64,33.95,123.99,442.63
swinv2_cr_base_384,384,240.19,1065.812,256,87.88,50.57,333.68
caformer_m36,384,240.01,1066.57,256,56.2,42.11,196.35
xcit_large_24_p16_384,384,237.61,3232.218,768,189.1,105.35,137.17
resnetrs350,384,236.9,4322.505,1024,163.96,77.59,154.74
maxvit_small_tf_512,512,235.03,408.44,96,69.13,67.26,383.77
volo_d3_448,448,231.1,2215.491,512,86.63,96.33,446.83
eva_giant_patch14_224,224,229.92,4453.698,1024,1012.56,267.18,192.64
eva_giant_patch14_clip_224,224,229.31,4465.497,1024,1012.59,267.18,192.64
convformer_m36,384,228.98,1117.982,256,57.05,37.87,123.56
vit_giant_patch14_224,224,225.31,4544.745,1024,1012.61,267.18,192.64
vit_giant_patch14_clip_224,224,224.09,4569.511,1024,1012.65,267.18,192.64
regnety_640,384,219.6,1165.748,256,281.38,188.47,124.83
cait_s24_384,384,215.82,2372.283,512,47.06,32.17,245.31
vitamin_large_336,336,214.38,895.584,192,333.57,175.72,307.47
vitamin_large2_336,336,214.36,895.665,192,333.83,175.72,307.47
seresnextaa201d_32x8d,384,212.89,2405.003,512,149.39,101.11,199.72
nfnet_f3,416,210.03,2437.746,512,254.92,115.58,141.78
efficientnetv2_xl,512,209.86,2439.71,512,208.12,93.85,247.32
focalnet_huge_fl4,224,209.11,2448.416,512,686.46,118.9,113.34
resnest269e,416,205.52,2491.203,512,110.93,77.69,171.98
nfnet_f4,384,204.25,3760.055,768,316.07,122.14,147.57
efficientnet_b7,600,202.28,474.573,96,66.35,38.33,289.94
tf_efficientnetv2_xl,512,202.25,2531.445,512,208.12,93.85,247.32
convnextv2_large,384,201.98,950.553,192,197.96,101.1,126.74
tf_efficientnet_b7,600,189.69,506.052,96,66.35,38.33,289.94
resnetv2_152x2_bit,448,187.23,1367.275,256,236.34,184.99,180.43
eva02_large_patch14_clip_336,336,186.43,4119.531,768,304.43,191.34,289.13
swin_large_patch4_window12_384,384,185.91,688.483,128,196.74,104.08,202.16
dm_nfnet_f3,416,181.39,2822.569,512,254.92,115.58,141.78
caformer_b36,384,177.61,1441.35,256,98.75,72.33,261.79
resnetrs420,416,176.81,4343.655,768,191.89,108.45,213.79
dm_nfnet_f4,384,176.15,2906.576,512,316.07,122.14,147.57
xcit_large_24_p8_224,224,176.14,2906.744,512,188.93,141.23,181.56
maxvit_large_tf_384,384,171.73,745.342,128,212.03,132.55,445.84
vitamin_xlarge_336,336,171.61,1118.79,192,436.06,230.18,347.33
mvitv2_huge_cls,224,171.54,2238.569,384,694.8,120.67,243.63
convformer_b36,384,169.76,1508.019,256,99.88,66.67,164.75
convnextv2_huge,288,165.43,773.711,128,660.29,190.1,130.7
vit_so400m_patch14_siglip_gap_384,384,154.69,3309.867,512,412.99,333.46,451.19
vitamin_large_384,384,154.64,1241.528,192,333.71,234.44,440.16
vitamin_large2_384,384,154.6,1241.879,192,333.97,234.44,440.16
vit_so400m_patch14_siglip_384,384,153.85,3327.91,512,428.23,335.4,452.89
focalnet_large_fl3,384,153.05,1672.622,256,239.13,105.06,168.04
swinv2_cr_large_384,384,151.56,844.525,128,196.68,108.96,404.96
resnet50x64_clip_gap,448,151.54,1689.315,256,365.03,253.96,233.22
davit_base_fl,768,150.78,848.881,128,90.37,190.32,530.15
vit_huge_patch14_clip_336,336,150.49,3402.128,512,632.46,390.97,407.54
resnetv2_101x3_bit,448,148.24,1295.156,192,387.93,280.33,194.78
resnet50x64_clip,448,147.7,1733.217,256,420.38,265.02,239.13
focalnet_large_fl4,384,145.84,1755.371,256,239.32,105.2,181.78
nfnet_f5,416,144.21,3550.232,512,377.21,170.71,204.56
cait_s36_384,384,143.55,3566.739,512,68.37,47.99,367.4
beit_large_patch16_512,512,142.33,3597.213,512,305.67,362.24,656.39
volo_d4_448,448,141.31,2717.358,384,193.41,197.13,527.35
xcit_small_24_p8_384,384,138.77,2767.038,384,47.63,105.24,265.91
maxvit_base_tf_512,512,136.61,702.73,96,119.88,138.02,703.99
vit_gigantic_patch14_clip_224,224,131.25,3900.97,512,1844.91,483.96,275.37
vit_gigantic_patch14_224,224,131.1,3905.342,512,1844.44,483.95,275.37
efficientnet_b8,672,130.9,733.374,96,87.41,63.48,442.89
sam2_hiera_base_plus,896,129.71,493.389,64,68.68,227.48,828.88
vitamin_xlarge_384,384,129.66,987.169,128,436.06,306.38,493.46
dm_nfnet_f5,416,123.97,4129.905,512,377.21,170.71,204.56
tf_efficientnet_b8,672,123.56,776.89,96,87.41,63.48,442.89
swinv2_base_window12to24_192to384,384,116.6,548.838,64,87.92,55.25,280.36
nfnet_f4,512,116.51,3295.94,384,316.07,216.26,262.26
vit_huge_patch14_clip_378,378,115.85,4419.399,512,632.68,503.79,572.79
regnety_1280,384,113.91,1123.629,128,644.81,374.99,210.2
nfnet_f6,448,108.83,4704.573,512,438.36,229.7,273.62
vit_large_patch14_reg4_dinov2,518,108.71,3532.214,384,304.37,508.9,1064.02
focalnet_xlarge_fl3,384,108.53,1769.039,192,408.79,185.61,223.99
vit_large_patch14_dinov2,518,108.27,3546.558,384,304.37,507.15,1058.82
vit_so400m_patch14_siglip_gap_448,448,107.18,3582.703,384,413.33,487.18,764.26
focalnet_xlarge_fl4,384,103.7,1851.388,192,409.03,185.79,242.31
vit_huge_patch14_clip_quickgelu_378,378,103.32,3716.757,384,632.68,503.79,572.79
maxvit_xlarge_tf_384,384,102.58,935.85,96,475.32,292.78,668.76
eva02_large_patch14_448,448,102.5,4995.169,512,305.08,362.33,689.95
eva_giant_patch14_336,336,100.67,5085.918,512,1013.01,620.64,550.67
dm_nfnet_f4,512,98.99,3879.344,384,316.07,216.26,262.26
vit_huge_patch16_gap_448,448,98.47,3899.461,384,631.67,544.7,636.83
xcit_medium_24_p8_384,384,95.83,2671.483,256,84.32,186.67,354.73
maxvit_large_tf_512,512,95.8,668.018,64,212.33,244.75,942.15
volo_d5_448,448,94.17,2718.505,256,295.91,315.06,737.92
dm_nfnet_f6,448,93.55,4104.519,384,438.36,229.7,273.62
convnextv2_huge,384,93.18,1030.237,96,660.29,337.96,232.35
swinv2_cr_giant_224,224,86.22,1484.541,128,2598.76,483.85,309.15
nfnet_f5,544,84.48,3030.209,256,377.21,290.97,349.71
nfnet_f7,480,82.66,4645.539,384,499.5,300.08,355.86
tf_efficientnet_l2,475,82.5,1163.656,96,480.31,172.11,609.89
swinv2_large_window12to24_192to384,384,74.51,644.202,48,196.74,116.15,407.83
dm_nfnet_f5,544,72.96,3508.675,256,377.21,290.97,349.71
volo_d5_512,512,72.05,3553.134,256,296.09,425.09,1105.37
swinv2_cr_huge_384,384,71.81,891.159,64,657.94,352.04,583.18
nfnet_f6,576,66.27,3862.681,256,438.36,378.69,452.2
regnety_2560,384,62.8,1528.693,96,1282.6,747.83,296.49
cait_m36_384,384,62.36,4105.492,256,271.22,173.11,734.81
davit_huge_fl,768,58.91,1086.419,64,360.64,744.84,1060.3
xcit_large_24_p8_384,384,58.6,3276.243,192,188.93,415.0,531.82
maxvit_xlarge_tf_512,512,57.35,836.875,48,475.77,534.14,1413.22
dm_nfnet_f6,576,56.67,4517.07,256,438.36,378.69,452.2
resnetv2_152x4_bit,480,56.51,2265.038,128,936.53,844.84,414.26
convnextv2_huge,512,52.45,915.15,48,660.29,600.81,413.07
nfnet_f7,608,52.01,4921.813,256,499.5,480.39,570.85
sam2_hiera_large,1024,42.98,1116.814,48,212.15,907.48,2190.34
eva_giant_patch14_560,560,33.62,3807.521,128,1014.45,1906.76,2577.17
vit_giant_patch14_dinov2,518,33.11,3866.111,128,1136.48,1784.2,2757.89
vit_giant_patch14_reg4_dinov2,518,32.88,3893.06,128,1136.48,1790.08,2771.21
samvit_base_patch16,1024,31.14,385.374,12,89.67,486.43,1343.27
efficientnet_l2,800,30.89,1035.976,32,480.31,479.12,1707.39
tf_efficientnet_l2,800,30.04,1065.17,32,480.31,479.12,1707.39
cait_m48_448,448,27.15,4715.382,128,356.46,329.41,1708.23
swinv2_cr_giant_384,384,23.32,1372.464,32,2598.76,1450.71,1394.86
vit_so400m_patch14_siglip_gap_896,896,19.9,4824.742,96,416.87,2731.49,8492.88
samvit_large_patch16,1024,14.97,534.402,8,308.28,1493.86,2553.78
samvit_huge_patch16,1024,9.99,600.87,6,637.03,2982.23,3428.16