pytorch-image-models/results/benchmark-infer-amp-nhwc-pt240-cu124-rtx3090.csv

model,infer_img_size,infer_samples_per_sec,infer_step_time,infer_batch_size,param_count,infer_gmacs,infer_macts
test_efficientnet,160,103646.76,9.87,1024,0.36,0.06,0.55
test_vit,160,103244.27,9.909,1024,0.37,0.04,0.48
test_byobnet,160,95063.35,10.761,1024,0.46,0.03,0.43
tinynet_e,106,76700.93,13.341,1024,2.04,0.03,0.69
mobilenetv3_small_050,224,57072.67,17.933,1024,1.59,0.03,0.92
lcnet_035,224,55976.14,18.284,1024,1.64,0.03,1.04
efficientvit_m0,224,48377.06,21.157,1024,2.35,0.08,0.91
lcnet_050,224,47344.86,21.619,1024,1.88,0.05,1.26
mobilenetv3_small_075,224,42488.72,24.091,1024,2.04,0.05,1.3
mobilenetv3_small_100,224,39045.83,26.216,1024,2.54,0.06,1.42
tinynet_d,152,38744.45,26.42,1024,2.34,0.05,1.42
efficientvit_m1,224,37693.15,27.157,1024,2.98,0.17,1.33
tf_mobilenetv3_small_minimal_100,224,34512.3,29.661,1024,2.04,0.06,1.41
efficientvit_m2,224,33886.66,30.209,1024,4.19,0.2,1.47
tf_mobilenetv3_small_075,224,33704.54,30.372,1024,2.04,0.05,1.3
tf_mobilenetv3_small_100,224,31434.86,32.566,1024,2.54,0.06,1.42
lcnet_075,224,31075.1,32.942,1024,2.36,0.1,1.99
mobilenetv4_conv_small,224,30965.44,33.059,1024,3.77,0.19,1.97
efficientvit_m3,224,29709.67,34.458,1024,6.9,0.27,1.62
efficientvit_m4,224,28086.43,36.449,1024,8.8,0.3,1.7
mnasnet_small,224,26858.45,38.112,1024,2.03,0.07,2.16
regnetx_002,224,24932.59,41.06,1024,2.68,0.2,2.16
lcnet_100,224,24627.72,41.57,1024,2.95,0.16,2.52
mobilenetv4_conv_small,256,23522.69,43.523,1024,3.77,0.25,2.57
regnety_002,224,23069.71,44.375,1024,3.16,0.2,2.17
levit_128s,224,23026.39,44.461,1024,7.78,0.31,1.88
repghostnet_050,224,22877.69,44.75,1024,2.31,0.05,2.02
ghostnet_050,224,22787.91,44.926,1024,2.59,0.05,1.77
mobilenetv2_035,224,22588.52,45.323,1024,1.68,0.07,2.86
resnet10t,176,22365.03,45.776,1024,5.44,0.7,1.51
levit_conv_128s,224,22115.28,46.293,1024,7.78,0.31,1.88
mnasnet_050,224,21012.53,48.723,1024,2.22,0.11,3.07
resnet18,160,20850.92,49.101,1024,11.69,0.93,1.27
tinynet_c,184,19198.02,53.329,1024,2.46,0.11,2.87
efficientvit_m5,224,19162.34,53.428,1024,12.47,0.53,2.41
efficientvit_b0,224,19036.4,53.782,1024,3.41,0.1,2.87
repghostnet_058,224,18156.61,56.388,1024,2.55,0.07,2.59
semnasnet_050,224,17891.8,57.223,1024,2.08,0.11,3.44
mobilenetv2_050,224,17837.51,57.397,1024,1.97,0.1,3.64
regnetx_004,224,17491.27,58.531,1024,5.16,0.4,3.14
regnetx_004_tv,224,16931.52,60.467,1024,5.5,0.42,3.17
cs3darknet_focus_s,256,16535.27,61.918,1024,3.27,0.69,2.7
lcnet_150,224,16211.53,63.155,1024,4.5,0.34,3.79
gernet_s,224,15890.89,64.43,1024,8.17,0.75,2.65
cs3darknet_s,256,15705.73,65.189,1024,3.28,0.72,2.97
levit_128,224,15600.03,65.631,1024,9.21,0.41,2.71
mobilenetv3_large_075,224,15141.94,67.617,1024,3.99,0.16,4.0
vit_tiny_r_s16_p8_224,224,15074.81,67.918,1024,6.34,0.44,2.06
levit_conv_128,224,15050.96,68.026,1024,9.21,0.41,2.71
repghostnet_080,224,14725.52,69.529,1024,3.28,0.1,3.22
resnet10t,224,14365.94,71.27,1024,5.44,1.1,2.43
pit_ti_224,224,14330.5,71.446,1024,4.85,0.7,6.19
pit_ti_distilled_224,224,14304.16,71.577,1024,5.1,0.71,6.23
mobilenetv3_rw,224,13802.85,74.178,1024,5.48,0.23,4.41
tf_efficientnetv2_b0,192,13802.18,74.181,1024,7.14,0.54,3.51
levit_192,224,13743.1,74.5,1024,10.95,0.66,3.2
mnasnet_075,224,13653.81,74.988,1024,3.17,0.23,4.77
hardcorenas_a,224,13581.17,75.389,1024,5.26,0.23,4.38
mobilenetv3_large_100,224,13556.89,75.524,1024,5.48,0.23,4.41
vit_small_patch32_224,224,13379.42,76.525,1024,22.88,1.15,2.5
levit_conv_192,224,13084.23,78.252,1024,10.95,0.66,3.2
tf_mobilenetv3_large_075,224,12872.36,79.54,1024,3.99,0.16,4.0
regnety_004,224,12765.55,80.202,1024,4.34,0.41,3.89
tinynet_b,188,12493.02,81.956,1024,3.73,0.21,4.44
tf_mobilenetv3_large_minimal_100,224,12397.28,82.589,1024,3.92,0.22,4.4
nf_regnet_b0,192,12394.96,82.604,1024,8.76,0.37,3.15
resnet34,160,12381.04,82.698,1024,21.8,1.87,1.91
hardcorenas_b,224,12362.7,82.82,1024,5.18,0.26,5.09
hardcorenas_c,224,12318.59,83.117,1024,5.52,0.28,5.01
mobilenetv1_100,224,12074.33,84.798,1024,4.23,0.58,5.04
repghostnet_100,224,12055.17,84.933,1024,4.07,0.15,3.98
resnet14t,176,11947.82,85.696,1024,10.08,1.07,3.61
mnasnet_100,224,11914.93,85.933,1024,4.38,0.33,5.46
regnety_006,224,11850.66,86.395,1024,6.06,0.61,4.33
mobilenetv1_100h,224,11818.6,86.634,1024,5.28,0.63,5.09
ghostnet_100,224,11799.55,86.773,1024,5.18,0.15,3.55
ese_vovnet19b_slim_dw,224,11783.68,86.891,1024,1.9,0.4,5.28
mixer_s32_224,224,11733.67,87.26,1024,19.1,1.0,2.28
tf_mobilenetv3_large_100,224,11642.43,87.945,1024,5.48,0.23,4.41
hardcorenas_d,224,11549.38,88.653,1024,7.5,0.3,4.93
semnasnet_075,224,11368.35,90.064,1024,2.91,0.23,5.54
mobilenetv2_075,224,11254.61,90.975,1024,2.64,0.22,5.86
mobilenet_edgetpu_v2_xs,224,11215.06,91.296,1024,4.46,0.7,4.8
resnet18,224,11188.75,91.511,1024,11.69,1.82,2.48
spnasnet_100,224,10760.35,95.154,1024,4.42,0.35,6.03
regnetx_008,224,10657.43,96.071,1024,7.26,0.81,5.15
tf_efficientnetv2_b1,192,10601.92,96.577,1024,8.14,0.76,4.59
mobilenetv4_conv_medium,224,10533.33,97.206,1024,9.72,0.84,5.8
seresnet18,224,10519.36,97.335,1024,11.78,1.82,2.49
repghostnet_111,224,10479.86,97.701,1024,4.54,0.18,4.38
deit_tiny_patch16_224,224,10451.69,97.965,1024,5.72,1.26,5.97
deit_tiny_distilled_patch16_224,224,10407.6,98.38,1024,5.91,1.27,6.01
vit_tiny_patch16_224,224,10405.73,98.398,1024,5.72,1.26,5.97
tf_efficientnetv2_b0,224,10314.64,99.267,1024,7.14,0.73,4.77
hardcorenas_f,224,10206.96,100.314,1024,8.2,0.35,5.57
legacy_seresnet18,224,10179.01,100.588,1024,11.78,1.82,2.49
tinynet_a,192,10107.12,101.305,1024,6.19,0.35,5.41
hardcorenas_e,224,10040.98,101.972,1024,8.07,0.35,5.65
semnasnet_100,224,10029.01,102.094,1024,3.89,0.32,6.23
mobilenet_edgetpu_100,224,10018.91,102.197,1024,4.09,1.0,5.75
levit_256,224,9996.37,102.427,1024,18.89,1.13,4.23
dla46_c,224,9963.65,102.763,1024,1.3,0.58,4.5
mobilenetv2_100,224,9887.57,103.554,1024,3.5,0.31,6.68
repvgg_a0,224,9797.14,104.51,1024,9.11,1.52,3.59
regnety_008,224,9778.52,104.708,1024,6.26,0.81,5.25
fbnetc_100,224,9724.0,105.297,1024,5.57,0.4,6.51
efficientnet_lite0,224,9657.18,106.025,1024,4.65,0.4,6.74
regnetx_006,224,9637.51,106.242,1024,6.2,0.61,3.98
levit_conv_256,224,9529.69,107.444,1024,18.89,1.13,4.23
resnet18d,224,9508.04,107.689,1024,11.71,2.06,3.29
hgnetv2_b0,224,9407.15,108.843,1024,6.0,0.33,2.12
pit_xs_224,224,9387.39,109.073,1024,10.62,1.4,7.71
regnety_008_tv,224,9370.17,109.273,1024,6.43,0.84,5.42
mobilenetv4_hybrid_medium_075,224,9355.37,109.446,1024,7.31,0.66,5.65
pit_xs_distilled_224,224,9342.89,109.592,1024,11.0,1.41,7.76
mobilenetv1_100,256,9270.71,110.445,1024,4.23,0.76,6.59
ese_vovnet19b_slim,224,9264.21,110.524,1024,3.17,1.69,3.52
mobilenetv1_125,224,9214.57,111.118,1024,6.27,0.89,6.3
vit_xsmall_patch16_clip_224,224,9204.49,111.24,1024,8.28,1.79,6.65
convnext_atto,224,9196.49,111.337,1024,3.7,0.55,3.81
vit_medium_patch32_clip_224,224,9164.71,111.723,1024,39.69,2.0,3.34
mobilenetv1_100h,256,9072.78,112.855,1024,5.28,0.82,6.65
repghostnet_130,224,8966.92,114.188,1024,5.48,0.25,5.24
ghostnet_130,224,8941.94,114.507,1024,7.36,0.24,4.6
convnext_atto_ols,224,8902.58,115.013,1024,3.7,0.58,4.11
regnetz_005,224,8898.94,115.06,1024,7.12,0.52,5.86
xcit_nano_12_p16_224,224,8661.49,118.214,1024,3.05,0.56,4.17
levit_256d,224,8476.14,120.799,1024,26.21,1.4,4.93
edgenext_xx_small,256,8329.49,122.926,1024,1.33,0.26,3.33
tf_efficientnet_lite0,224,8319.74,123.071,1024,4.65,0.4,6.74
fbnetv3_b,224,8315.87,123.128,1024,8.6,0.42,6.97
efficientnet_b0,224,8241.4,124.241,1024,5.29,0.4,6.75
levit_conv_256d,224,8143.78,125.73,1024,26.21,1.4,4.93
mnasnet_140,224,8104.58,126.338,1024,7.12,0.6,7.71
mobilenetv4_conv_medium,256,8092.13,126.533,1024,9.72,1.1,7.58
convnext_femto,224,8051.49,127.171,1024,5.22,0.79,4.57
tf_efficientnetv2_b2,208,7901.34,129.588,1024,10.1,1.06,6.0
mobilevit_xxs,256,7885.22,129.853,1024,1.27,0.42,8.34
repghostnet_150,224,7853.84,130.372,1024,6.58,0.32,6.0
convnext_femto_ols,224,7832.99,130.719,1024,5.23,0.82,4.87
mobilenet_edgetpu_v2_s,224,7762.61,131.904,1024,5.99,1.21,6.6
rexnetr_100,224,7696.45,133.034,1024,4.88,0.43,7.72
repvit_m1,224,7673.77,133.431,1024,5.49,0.83,7.45
resnet14t,224,7579.52,135.091,1024,10.08,1.69,5.8
mobilenetv4_hybrid_medium,224,7493.91,136.634,1024,11.07,0.98,6.84
mobilenetv2_110d,224,7490.18,136.702,1024,4.52,0.45,8.71
cs3darknet_focus_m,256,7460.64,137.244,1024,9.3,1.98,4.89
repvit_m0_9,224,7284.39,140.555,1024,5.49,0.83,7.45
rexnet_100,224,7243.9,141.351,1024,4.8,0.41,7.44
tf_efficientnet_b0,224,7243.0,141.368,1024,5.29,0.4,6.75
efficientnet_b1_pruned,240,7240.43,141.418,1024,6.33,0.4,6.21
efficientvit_b1,224,7214.92,141.918,1024,9.1,0.53,7.25
resnet50,160,7190.62,142.398,1024,25.56,2.1,5.67
cs3darknet_m,256,7120.83,143.794,1024,9.31,2.08,5.28
mobilevitv2_050,256,7087.19,144.476,1024,1.37,0.48,8.04
nf_regnet_b0,256,7083.25,144.556,1024,8.76,0.64,5.58
hrnet_w18_small,224,7050.65,145.221,1024,13.19,1.61,5.72
mobilenetv1_125,256,7010.8,146.05,1024,6.27,1.16,8.23
repvgg_a1,224,6986.39,146.561,1024,14.09,2.64,4.74
hgnetv2_b1,224,6916.93,148.033,1024,6.34,0.49,2.73
fbnetv3_d,224,6914.78,148.079,1024,10.31,0.52,8.5
gernet_m,224,6873.04,148.978,1024,21.14,3.02,5.24
visformer_tiny,224,6836.16,149.782,1024,10.32,1.27,5.72
pvt_v2_b0,224,6743.86,151.832,1024,3.67,0.57,7.99
tf_efficientnetv2_b1,240,6694.16,152.959,1024,8.14,1.21,7.34
resnet50d,160,6637.34,154.269,1024,25.58,2.22,6.08
edgenext_xx_small,288,6577.06,155.681,1024,1.33,0.33,4.21
vit_betwixt_patch32_clip_224,224,6547.37,156.388,1024,61.41,3.09,4.17
resnet34,224,6529.57,156.815,1024,21.8,3.67,3.74
ese_vovnet19b_dw,224,6511.74,157.245,1024,6.54,1.34,8.25
efficientnet_lite1,240,6378.58,160.527,1024,5.42,0.62,10.14
resnet18,288,6375.26,160.611,1024,11.69,3.01,4.11
fbnetv3_b,256,6364.95,160.871,1024,8.6,0.55,9.1
selecsls42,224,6333.78,161.663,1024,30.35,2.94,4.62
selecsls42b,224,6319.75,162.02,1024,32.46,2.98,4.62
crossvit_tiny_240,240,6299.42,162.544,1024,7.01,1.57,9.08
convnext_pico,224,6259.06,163.593,1024,9.05,1.37,6.1
efficientnet_es_pruned,224,6253.5,163.738,1024,5.44,1.81,8.73
crossvit_9_dagger_240,240,6253.37,163.741,1024,8.78,1.99,9.97
seresnet50,160,6246.72,163.91,1024,28.09,2.1,5.69
efficientnet_b0,256,6246.01,163.934,1024,5.29,0.52,8.81
efficientnet_es,224,6238.02,164.145,1024,5.44,1.81,8.73
efficientnet_blur_b0,224,6201.55,165.11,1024,5.29,0.43,8.72
mobilenetv3_large_150d,224,6128.32,167.083,1024,14.62,,
repvit_m1_0,224,6105.54,167.706,1024,7.3,1.13,8.69
seresnet34,224,6098.18,167.906,1024,21.96,3.67,3.74
convnext_pico_ols,224,6085.56,168.258,1024,9.06,1.43,6.5
resnext50_32x4d,160,6056.31,169.069,1024,25.03,2.17,7.35
repghostnet_200,224,6053.09,169.16,1024,9.8,0.54,7.96
mobilenet_edgetpu_v2_m,224,6048.59,169.285,1024,8.46,1.85,8.15
tiny_vit_5m_224,224,6035.01,169.666,1024,12.08,1.28,11.25
seresnet18,288,6022.58,170.017,1024,11.78,3.01,4.11
levit_384,224,6010.01,170.372,1024,39.13,2.36,6.26
cs3darknet_focus_m,288,5993.42,170.844,1024,9.3,2.51,6.19
resnet26,224,5987.24,171.021,1024,16.0,2.36,7.35
dla34,224,5969.98,171.514,1024,15.74,3.07,5.02
repvit_m2,224,5966.06,171.627,1024,8.8,1.36,9.43
resnet34d,224,5928.79,172.706,1024,21.82,3.91,4.54
tf_efficientnet_es,224,5915.64,173.09,1024,5.44,1.81,8.73
legacy_seresnet34,224,5895.55,173.68,1024,21.96,3.67,3.74
resnetrs50,160,5890.41,173.832,1024,35.69,2.29,6.2
crossvit_9_240,240,5878.46,174.185,1024,8.55,1.85,9.52
efficientnet_b0_g16_evos,224,5867.79,174.502,1024,8.11,1.01,7.42
ecaresnet50t,160,5866.78,174.532,1024,25.57,2.21,6.04
resnet50,176,5862.03,174.673,1024,25.56,2.62,6.92
efficientnet_b1,224,5792.59,176.768,1024,7.79,0.59,9.36
cs3darknet_m,288,5761.99,177.707,1024,9.31,2.63,6.69
mobilenetv4_hybrid_medium,256,5760.47,177.753,1024,11.07,1.29,9.01
levit_conv_384,224,5757.96,177.831,1024,39.13,2.36,6.26
ghostnetv2_100,224,5689.23,179.979,1024,6.16,0.18,4.55
tf_efficientnet_lite1,240,5688.37,180.007,1024,5.42,0.62,10.14
mixnet_s,224,5667.55,180.667,1024,4.13,0.25,6.25
repvit_m1_1,224,5665.98,180.718,1024,8.8,1.36,9.43
resnetblur18,224,5629.69,181.883,1024,11.69,2.34,3.39
efficientvit_b1,256,5607.85,182.591,1024,9.1,0.69,9.46
convnext_atto,288,5598.29,182.904,1024,3.7,0.91,6.3
hgnetv2_b0,288,5561.84,184.102,1024,6.0,0.54,3.51
selecsls60,224,5536.37,184.949,1024,30.67,3.59,5.52
resnet18d,288,5520.36,185.486,1024,11.71,3.41,5.43
xcit_tiny_12_p16_224,224,5519.98,185.498,1024,6.72,1.24,6.29
dla46x_c,224,5516.82,185.602,1024,1.07,0.54,5.66
selecsls60b,224,5514.38,185.687,1024,32.77,3.63,5.52
darknet17,256,5477.03,186.952,1024,14.3,3.26,7.18
skresnet18,224,5436.76,188.337,1024,11.96,1.82,3.24
regnetz_005,288,5429.12,188.602,1024,7.12,0.86,9.68
convnext_atto_ols,288,5423.39,188.802,1024,3.7,0.96,6.8
resmlp_12_224,224,5417.84,188.996,1024,15.35,3.01,5.5
convnextv2_atto,224,5393.05,189.864,1024,3.71,0.55,3.81
mobilenet_edgetpu_v2_l,224,5392.86,189.871,1024,10.92,2.55,9.05
nf_regnet_b2,240,5319.96,192.472,1024,14.31,0.97,7.23
nf_regnet_b1,256,5313.59,192.704,1024,10.22,0.82,7.27
repvgg_b0,224,5312.16,192.755,1024,15.82,3.41,6.15
edgenext_x_small,256,5311.8,192.768,1024,2.34,0.54,5.93
dla60x_c,224,5286.77,193.68,1024,1.32,0.59,6.01
tf_mixnet_s,224,5242.96,195.299,1024,4.13,0.25,6.25
resnet26d,224,5233.24,195.662,1024,16.01,2.6,8.15
resnetaa34d,224,5231.1,195.743,1024,21.82,4.43,5.07
vit_tiny_r_s16_p8_384,384,5200.71,196.885,1024,6.36,1.34,6.49
mobilenetv4_conv_medium,320,5184.61,197.498,1024,9.72,1.71,11.84
semnasnet_140,224,5180.64,197.649,1024,6.11,0.6,8.87
fbnetv3_d,256,5175.76,197.836,1024,10.31,0.68,11.1
vit_base_patch32_clip_224,224,5121.46,199.933,1024,88.22,4.41,5.01
vit_base_patch32_224,224,5114.3,200.213,1024,88.22,4.41,5.01
mobilenetv4_conv_aa_medium,256,5106.4,200.523,1024,9.72,1.58,10.3
gmixer_12_224,224,5100.86,200.741,1024,12.7,2.67,7.26
regnetz_b16,224,5067.77,202.051,1024,9.72,1.45,9.95
mobilenetv2_140,224,5065.51,202.141,1024,6.11,0.6,9.57
mobilenetv4_conv_blur_medium,224,5036.62,203.302,1024,9.72,1.22,8.58
mixer_s16_224,224,5021.22,203.925,1024,18.53,3.79,5.97
tiny_vit_11m_224,224,5013.61,204.233,1024,20.35,2.04,13.49
hgnetv2_b4,224,4999.81,204.797,1024,19.8,2.75,6.7
eva02_tiny_patch14_224,224,4958.89,206.487,1024,5.5,1.7,9.14
efficientnet_b1,240,4954.82,206.656,1024,7.79,0.71,10.88
pit_s_224,224,4950.08,206.854,1024,23.46,2.88,11.56
resnext50_32x4d,176,4946.85,206.99,1024,25.03,2.71,8.97
pit_s_distilled_224,224,4922.56,208.011,1024,24.04,2.9,11.64
darknet21,256,4915.34,208.316,1024,20.86,3.93,7.47
nf_resnet26,224,4912.43,208.441,1024,16.0,2.41,7.35
convnext_femto,288,4895.87,209.146,1024,5.22,1.3,7.56
efficientnet_lite2,260,4895.77,209.15,1024,6.09,0.89,12.9
gmlp_ti16_224,224,4887.42,209.508,1024,5.87,1.34,7.55
tf_efficientnetv2_b2,260,4842.96,211.431,1024,10.1,1.72,9.84
convnext_femto_ols,288,4762.02,215.024,1024,5.23,1.35,8.06
efficientnet_b2_pruned,260,4761.44,215.051,1024,8.31,0.73,9.13
efficientnetv2_rw_t,224,4734.23,216.287,1024,13.65,1.93,9.94
resnext26ts,256,4729.62,216.496,1024,10.3,2.43,10.52
ecaresnet50d_pruned,224,4721.76,216.858,1024,19.94,2.53,6.43
mixer_b32_224,224,4721.22,216.883,1024,60.29,3.24,6.29
sedarknet21,256,4717.55,217.052,1024,20.95,3.93,7.47
efficientnet_cc_b0_4e,224,4699.43,217.889,1024,13.31,0.41,9.42
efficientformer_l1,224,4692.55,218.208,1024,12.29,1.3,5.53
hgnetv2_b2,224,4665.47,219.475,1024,11.22,1.15,4.12
efficientnet_cc_b0_8e,224,4649.86,220.212,1024,24.01,0.42,9.42
deit_small_patch16_224,224,4640.58,220.651,1024,22.05,4.61,11.95
dpn48b,224,4632.75,221.023,1024,9.13,1.69,8.92
vit_base_patch32_clip_quickgelu_224,224,4629.11,221.199,1024,87.85,4.41,5.01
vit_small_patch32_384,384,4623.55,221.464,1024,22.92,3.45,8.25
convnextv2_femto,224,4619.54,221.657,1024,5.23,0.79,4.57
vit_small_patch16_224,224,4616.6,221.798,1024,22.05,4.61,11.95
mobilenet_edgetpu_v2_m,256,4603.21,222.443,1024,8.46,2.42,10.65
mobilevitv2_075,256,4603.11,222.448,1024,2.87,1.05,12.06
rexnetr_130,224,4600.81,222.56,1024,7.61,0.68,9.81
deit_small_distilled_patch16_224,224,4599.62,222.617,1024,22.44,4.63,12.02
gc_efficientnetv2_rw_t,224,4586.63,223.247,1024,13.68,1.94,9.97
eca_resnext26ts,256,4583.46,223.402,1024,10.3,2.43,10.52
seresnext26ts,256,4576.49,223.742,1024,10.39,2.43,10.52
tf_efficientnetv2_b3,240,4549.81,225.054,1024,14.36,1.93,9.95
legacy_seresnext26_32x4d,224,4538.76,225.601,1024,16.79,2.49,9.39
gcresnext26ts,256,4524.04,226.336,1024,10.48,2.43,10.53
tf_efficientnet_b1,240,4521.51,226.463,1024,7.79,0.71,10.88
gernet_l,256,4517.69,226.654,1024,31.08,4.57,8.0
resnet101,160,4424.84,231.411,1024,44.55,4.0,8.28
convnext_nano,224,4416.52,231.847,1024,15.59,2.46,8.37
tf_efficientnet_lite2,260,4392.9,233.093,1024,6.09,0.89,12.9
efficientnet_b1,256,4384.99,233.513,1024,7.79,0.77,12.22
rexnet_130,224,4380.06,233.776,1024,7.56,0.68,9.71
efficientvit_b1,288,4359.22,234.894,1024,9.1,0.87,11.96
ghostnetv2_130,224,4355.29,235.105,1024,8.96,0.28,5.9
mobilenetv4_conv_large,256,4341.06,235.877,1024,32.59,2.86,12.14
tf_efficientnet_cc_b0_4e,224,4338.57,236.012,1024,13.31,0.41,9.42
mobilenetv2_120d,224,4324.07,236.803,1024,5.83,0.69,11.97
tf_efficientnet_cc_b0_8e,224,4315.19,237.291,1024,24.01,0.42,9.42
deit3_small_patch16_224,224,4283.7,239.035,1024,22.06,4.61,11.95
vit_relpos_small_patch16_rpn_224,224,4272.39,239.667,1024,21.97,4.59,13.05
vit_wee_patch16_reg1_gap_256,256,4262.7,240.213,1024,13.42,3.83,13.9
cs3darknet_focus_l,256,4254.84,240.657,1024,21.15,4.66,8.03
vit_relpos_small_patch16_224,224,4248.63,241.008,1024,21.98,4.59,13.05
vit_pwee_patch16_reg1_gap_256,256,4244.05,241.269,1024,15.25,4.37,15.87
regnetx_016,224,4239.24,241.54,1024,9.19,1.62,7.93
edgenext_x_small,288,4233.57,241.864,1024,2.34,0.68,7.5
vit_srelpos_small_patch16_224,224,4224.03,242.412,1024,21.97,4.59,12.16
nf_regnet_b1,288,4209.65,243.24,1024,10.22,1.02,9.2
nf_ecaresnet26,224,4182.26,244.834,1024,16.0,2.41,7.36
efficientnet_b2,256,4174.44,245.292,1024,9.11,0.89,12.81
nf_seresnet26,224,4174.23,245.305,1024,17.4,2.41,7.36
mobilenetv4_hybrid_large_075,256,4171.98,245.436,1024,22.75,2.06,11.64
nf_regnet_b2,272,4148.23,246.842,1024,14.31,1.22,9.27
cs3darknet_l,256,4138.17,247.442,1024,21.16,4.86,8.55
convnext_nano_ols,224,4136.46,247.544,1024,15.65,2.65,9.38
rexnetr_150,224,4135.64,247.594,1024,9.78,0.89,11.13
ecaresnext50t_32x4d,224,4123.94,248.296,1024,15.41,2.7,10.09
ecaresnext26t_32x4d,224,4122.74,248.367,1024,15.41,2.7,10.09
seresnext26t_32x4d,224,4117.08,248.709,1024,16.81,2.7,10.09
poolformer_s12,224,4088.18,250.468,1024,11.92,1.82,5.53
repvgg_a2,224,4084.78,250.676,1024,28.21,5.7,6.26
seresnext26d_32x4d,224,4078.22,251.079,1024,16.81,2.73,10.19
resnet26t,256,4062.55,252.048,1024,16.01,3.35,10.52
hgnet_tiny,224,4057.65,252.352,1024,14.74,4.54,6.36
hgnetv2_b1,288,4056.18,252.444,1024,6.34,0.82,4.51
flexivit_small,240,4044.24,253.19,1024,22.06,5.35,14.18
repvit_m3,224,4026.3,254.31,1024,10.68,1.89,13.94
edgenext_small,256,4025.36,254.377,1024,5.59,1.26,9.07
mobileone_s1,224,4001.06,255.921,1024,4.83,0.86,9.67
vit_base_patch32_clip_256,256,3985.68,256.91,1024,87.86,5.76,6.65
resnetv2_50,224,3927.67,260.703,1024,25.55,4.11,11.11
eca_botnext26ts_256,256,3922.63,261.039,1024,10.59,2.46,11.6
regnety_016,224,3879.4,263.947,1024,11.2,1.63,8.04
pvt_v2_b1,224,3876.64,264.136,1024,14.01,2.12,15.39
cs3sedarknet_l,256,3859.41,265.314,1024,21.91,4.86,8.56
mobilenetv4_conv_blur_medium,256,3857.99,265.413,1024,9.72,1.59,11.2
dpn68,224,3853.11,265.748,1024,12.61,2.35,10.47
ese_vovnet19b_dw,288,3852.02,265.825,1024,6.54,2.22,13.63
fbnetv3_g,240,3837.93,266.791,1024,16.62,1.28,14.87
resnet34,288,3825.08,267.697,1024,21.8,6.07,6.18
convnext_pico,288,3802.68,269.273,1024,9.05,2.27,10.08
eca_halonext26ts,256,3798.67,269.558,1024,10.76,2.44,11.46
ecaresnetlight,224,3794.95,269.822,1024,30.16,4.11,8.42
dpn68b,224,3764.97,271.97,1024,12.61,2.35,10.47
efficientnet_em,240,3750.15,273.045,1024,6.9,3.04,14.34
mixnet_m,224,3745.46,273.387,1024,5.01,0.36,8.19
hgnetv2_b3,224,3744.03,273.492,1024,16.29,1.78,5.07
resnet50,224,3729.86,274.531,1024,25.56,4.11,11.11
efficientnet_b3_pruned,300,3729.22,274.578,1024,9.86,1.04,11.86
bat_resnext26ts,256,3705.73,276.319,1024,10.73,2.53,12.51
convnext_pico_ols,288,3702.45,276.564,1024,9.06,2.37,10.74
rexnet_150,224,3700.42,276.715,1024,9.73,0.9,11.21
botnet26t_256,256,3668.77,279.103,1024,12.49,3.32,11.98
hrnet_w18_small_v2,224,3662.73,279.553,1024,15.6,2.62,9.65
resnest14d,224,3658.62,279.877,1024,10.61,2.76,7.33
resnet32ts,256,3655.47,280.118,1024,17.96,4.63,11.58
ecaresnet26t,256,3636.71,281.563,1024,16.01,3.35,10.53
resnet101,176,3629.67,282.109,1024,44.55,4.92,10.08
mobilenetv4_hybrid_medium,320,3627.2,282.301,1024,11.07,2.05,14.36
resnext26ts,288,3614.6,283.286,1024,10.3,3.07,13.31
resnetv2_50t,224,3605.27,284.018,1024,25.57,4.32,11.82
resnet33ts,256,3596.87,284.683,1024,19.68,4.76,11.66
tf_efficientnet_em,240,3593.09,284.981,1024,6.9,3.04,14.34
resnetv2_50d,224,3590.41,285.193,1024,25.57,4.35,11.92
seresnet34,288,3587.79,285.399,1024,21.96,6.07,6.18
regnetv_040,224,3583.87,285.714,1024,20.64,4.0,12.29
tf_mixnet_m,224,3580.97,285.946,1024,5.01,0.36,8.19
halonet26t,256,3578.92,286.11,1024,12.48,3.19,11.69
edgenext_small_rw,256,3571.34,286.716,1024,7.83,1.58,9.51
ecaresnet101d_pruned,224,3571.05,286.74,1024,24.88,3.48,7.69
dla60,224,3563.95,287.311,1024,22.04,4.26,10.16
coat_lite_tiny,224,3562.29,287.445,1024,5.72,1.6,11.65
regnety_040,224,3558.64,287.74,1024,20.65,4.0,12.29
resnet50c,224,3552.9,288.205,1024,25.58,4.35,11.92
convnextv2_pico,224,3531.58,289.945,1024,9.07,1.37,6.1
vit_small_resnet26d_224,224,3508.49,291.853,1024,63.61,5.07,11.12
resnet26,288,3505.0,292.144,1024,16.0,3.9,12.15
eca_resnext26ts,288,3503.71,292.25,1024,10.3,3.07,13.32
seresnext26ts,288,3501.42,292.44,1024,10.39,3.07,13.32
tf_efficientnet_b2,260,3496.2,292.88,1024,9.11,1.02,13.83
resnet34d,288,3493.39,293.114,1024,21.82,6.47,7.51
eca_resnet33ts,256,3492.62,293.179,1024,19.68,4.76,11.66
efficientnet_b1,288,3488.73,293.505,1024,7.79,0.97,15.46
seresnet33ts,256,3486.45,293.698,1024,19.78,4.76,11.66
gcresnext26ts,288,3458.99,296.03,1024,10.48,3.07,13.33
tresnet_m,224,3453.12,296.532,1024,31.39,5.75,7.31
gcresnet33ts,256,3446.19,297.129,1024,19.88,4.76,11.68
coatnet_nano_cc_224,224,3441.88,297.501,1024,13.76,2.24,15.02
resnet50t,224,3439.67,297.693,1024,25.57,4.32,11.82
ghostnetv2_160,224,3435.57,298.048,1024,12.39,0.42,7.23
resnet50d,224,3420.07,299.4,1024,25.58,4.35,11.92
efficientvit_b2,224,3405.99,300.636,1024,24.33,1.6,14.62
vovnet39a,224,3393.85,301.712,1024,22.6,7.09,6.73
coatnext_nano_rw_224,224,3385.52,302.454,1024,14.7,2.47,12.8
coatnet_nano_rw_224,224,3380.48,302.905,1024,15.14,2.41,15.41
legacy_seresnet50,224,3371.1,303.744,1024,28.09,3.88,10.6
efficientnet_b0_gn,224,3367.52,304.072,1024,5.29,0.42,6.75
cs3darknet_focus_l,288,3358.65,304.874,1024,21.15,5.9,10.16
fastvit_t8,256,3353.24,305.366,1024,4.03,0.7,8.63
convit_tiny,224,3349.24,305.73,1024,5.71,1.26,7.94
repvit_m1_5,224,3348.79,305.769,1024,14.64,2.31,15.7
coat_lite_mini,224,3328.7,307.616,1024,11.01,2.0,12.25
selecsls84,224,3309.96,309.357,1024,50.95,5.9,7.57
efficientnet_b2,288,3305.5,309.776,1024,9.11,1.12,16.2
sam2_hiera_tiny,224,3299.25,310.362,1024,26.85,4.91,17.12
haloregnetz_b,224,3297.58,310.52,1024,11.68,1.97,11.94
resnetblur18,288,3296.17,310.652,1024,11.69,3.87,5.6
resnetaa50,224,3294.4,310.82,1024,25.56,5.15,11.64
levit_512,224,3286.88,311.53,1024,95.17,5.64,10.22
vit_tiny_patch16_384,384,3281.68,312.024,1024,5.79,4.7,25.39
ese_vovnet39b,224,3281.48,312.043,1024,24.57,7.09,6.74
mobilevit_xs,256,3279.06,312.274,1024,2.32,1.05,16.33
wide_resnet50_2,176,3279.04,312.276,1024,68.88,7.29,8.97
eca_vovnet39b,224,3274.47,312.712,1024,22.6,7.09,6.74
convnextv2_atto,288,3271.31,313.015,1024,3.71,0.91,6.3
mobileone_s2,224,3268.79,313.256,1024,7.88,1.34,11.55
cs3darknet_l,288,3263.27,313.785,1024,21.16,6.16,10.83
seresnet50,224,3243.29,315.718,1024,28.09,4.11,11.13
vit_small_r26_s32_224,224,3242.11,315.833,1024,36.43,3.56,9.85
regnetx_032,224,3239.67,316.071,1024,15.3,3.2,11.37
nf_regnet_b3,288,3220.95,317.909,1024,18.59,1.67,11.84
res2net50_48w_2s,224,3208.95,319.097,1024,25.29,4.18,11.72
resnetaa34d,288,3173.49,322.664,1024,21.82,7.33,8.38
dla60x,224,3140.94,326.005,1024,17.35,3.54,13.8
resnext50_32x4d,224,3135.91,326.53,1024,25.03,4.26,14.4
mobileone_s0,224,3126.59,327.503,1024,5.29,1.09,15.48
convnext_tiny,224,3120.16,328.178,1024,28.59,4.47,13.44
visformer_small,224,3116.52,328.562,1024,40.22,4.88,11.43
resnet152,160,3116.12,328.603,1024,60.19,5.9,11.51
levit_conv_512,224,3097.94,330.532,1024,95.17,5.64,10.22
vit_relpos_base_patch32_plus_rpn_256,256,3096.69,330.659,1024,119.42,7.68,8.01
resnet26d,288,3085.16,331.901,1024,16.01,4.29,13.48
skresnet34,224,3069.81,333.561,1024,22.28,3.67,5.13
levit_512d,224,3062.18,334.39,1024,92.5,5.85,11.3
resnet50_clip_gap,224,3051.19,335.595,1024,23.53,5.39,12.44
eca_nfnet_l0,224,3050.64,335.658,1024,24.14,4.35,10.47
resnetaa50d,224,3048.06,335.941,1024,25.58,5.39,12.44
regnetz_c16,256,3040.22,336.807,1024,13.46,2.51,16.57
cs3sedarknet_l,288,3038.16,337.035,1024,21.91,6.16,10.83
xcit_nano_12_p16_384,384,3035.13,337.372,1024,3.05,1.64,12.15
tiny_vit_21m_224,224,3034.37,337.457,1024,33.22,4.29,20.08
densenet121,224,3031.71,337.752,1024,7.98,2.87,6.9
nfnet_l0,224,3030.88,337.845,1024,35.07,4.36,10.47
resnetrs50,224,3023.9,338.625,1024,35.69,4.48,12.14
ecaresnet50t,224,3023.88,338.627,1024,25.57,4.32,11.83
regnetz_b16,288,3023.06,338.719,1024,9.72,2.39,16.43
seresnet50t,224,3021.11,338.934,1024,28.1,4.32,11.83
ecaresnet50d,224,3008.25,340.387,1024,25.58,4.35,11.93
vit_base_patch32_plus_256,256,3003.41,340.935,1024,119.48,7.79,7.76
vit_medium_patch16_clip_224,224,3002.97,340.985,1024,38.59,8.0,15.93
hgnetv2_b4,288,3001.56,341.146,1024,19.8,4.54,11.08
crossvit_small_240,240,2994.9,341.904,1024,26.86,5.63,18.17
resnet50s,224,2990.06,342.458,1024,25.68,5.47,13.52
rexnetr_200,224,2981.52,343.438,1024,16.52,1.59,15.11
mixnet_l,224,2960.5,345.878,1024,7.33,0.58,10.84
efficientnet_cc_b1_8e,240,2957.88,346.183,1024,39.72,0.75,15.44
xcit_tiny_24_p16_224,224,2951.65,346.913,1024,12.12,2.34,11.82
gcresnext50ts,256,2949.61,347.155,1024,15.67,3.75,15.46
lambda_resnet26rpt_256,256,2920.38,350.629,1024,10.99,3.16,11.87
hiera_tiny_224,224,2913.8,351.42,1024,27.91,4.91,17.13
resnext50d_32x4d,224,2906.09,352.354,1024,25.05,4.5,15.2
resnet32ts,288,2900.64,353.016,1024,17.96,5.86,14.65
vit_little_patch16_reg1_gap_256,256,2900.54,353.027,1024,22.52,6.27,18.06
levit_conv_512d,224,2894.37,353.779,1024,92.5,5.85,11.3
res2net50_26w_4s,224,2886.15,354.784,1024,25.7,4.28,12.61
resnetv2_50x1_bit,224,2881.41,355.371,1024,25.55,4.23,11.11
mobilenetv4_conv_large,320,2873.61,356.335,1024,32.59,4.47,18.97
tf_efficientnetv2_b3,300,2870.86,356.676,1024,14.36,3.04,15.74
vit_little_patch16_reg4_gap_256,256,2870.27,356.75,1024,22.52,6.35,18.33
mobilevitv2_100,256,2869.22,356.881,1024,4.9,1.84,16.08
coatnet_pico_rw_224,224,2867.77,357.061,1024,10.85,2.05,14.62
efficientnetv2_rw_t,288,2863.9,357.543,1024,13.65,3.19,16.42
resnet33ts,288,2854.58,358.712,1024,19.68,6.02,14.75
cspresnet50,256,2853.48,358.849,1024,21.62,4.54,11.5
inception_next_tiny,224,2844.01,360.044,1024,28.06,4.19,11.98
resnet50_clip,224,2836.87,360.947,1024,38.32,6.14,12.98
res2next50,224,2827.45,362.148,1024,24.67,4.2,13.71
tf_mixnet_l,224,2826.43,362.284,1024,7.33,0.58,10.84
dla60_res2next,224,2826.22,362.31,1024,17.03,3.49,13.17
vit_base_resnet26d_224,224,2826.06,362.331,1024,101.4,6.97,13.16
hgnetv2_b5,224,2824.85,362.487,1024,39.57,6.56,11.19
vovnet57a,224,2824.04,362.591,1024,36.64,8.95,7.52
deit3_medium_patch16_224,224,2819.68,363.151,1024,38.85,8.0,15.93
convnextv2_femto,288,2809.3,364.492,1024,5.23,1.3,7.56
res2net50_14w_8s,224,2809.15,364.506,1024,25.06,4.21,13.28
gcresnet50t,256,2800.68,365.615,1024,25.9,5.42,14.67
crossvit_15_240,240,2793.66,366.534,1024,27.53,5.81,19.77
vit_relpos_medium_patch16_rpn_224,224,2791.96,366.75,1024,38.73,7.97,17.02
seresnext50_32x4d,224,2785.57,367.599,1024,27.56,4.26,14.42
dla60_res2net,224,2784.11,367.789,1024,20.85,4.15,12.34
convnext_tiny_hnf,224,2781.72,368.1,1024,28.59,4.47,13.44
gc_efficientnetv2_rw_t,288,2780.71,368.241,1024,13.68,3.2,16.45
gcvit_xxtiny,224,2779.24,368.435,1024,12.0,2.14,15.36
vgg11_bn,224,2779.08,368.458,1024,132.87,7.62,7.44
legacy_seresnext50_32x4d,224,2778.41,368.545,1024,27.56,4.26,14.42
tf_efficientnet_cc_b1_8e,240,2776.91,368.745,1024,39.72,0.75,15.44
vit_relpos_medium_patch16_224,224,2773.12,369.248,1024,38.75,7.97,17.02
resmlp_24_224,224,2769.63,369.714,1024,30.02,5.96,10.91
crossvit_15_dagger_240,240,2769.4,369.745,1024,28.21,6.13,20.43
hgnetv2_b2,288,2767.58,369.987,1024,11.22,1.89,6.8
eca_resnet33ts,288,2765.99,370.2,1024,19.68,6.02,14.76
vit_srelpos_medium_patch16_224,224,2763.71,370.506,1024,38.74,7.96,16.21
seresnet33ts,288,2762.81,370.627,1024,19.78,6.02,14.76
twins_svt_small,224,2759.48,371.074,1024,24.06,2.94,13.75
vit_relpos_medium_patch16_cls_224,224,2754.95,371.684,1024,38.76,8.03,18.24
twins_pcpvt_small,224,2745.95,372.902,1024,24.11,3.83,18.08
nextvit_small,224,2739.59,373.768,1024,31.76,5.81,18.44
davit_tiny,224,2738.13,280.473,768,28.36,4.54,18.89
gcresnet33ts,288,2730.01,375.08,1024,19.88,6.02,14.78
cspresnet50d,256,2722.26,376.147,1024,21.64,4.86,12.55
fbnetv3_g,288,2718.22,376.707,1024,16.62,1.77,21.09
seresnetaa50d,224,2716.73,376.913,1024,28.11,5.4,12.46
ese_vovnet57b,224,2715.38,377.101,1024,38.61,8.95,7.52
rexnet_200,224,2713.9,377.301,1024,16.37,1.56,14.91
resnetblur50,224,2713.18,377.406,1024,25.56,5.16,12.02
ecaresnet50d_pruned,288,2709.71,377.889,1024,19.94,4.19,10.61
nfnet_f0,192,2708.66,378.036,1024,71.49,7.21,10.16
efficientvit_l1,224,2706.35,378.359,1024,52.65,5.27,15.85
convnext_nano,288,2696.47,379.744,1024,15.59,4.06,13.84
hgnet_small,224,2694.73,379.99,1024,24.36,8.53,8.79
res2net50d,224,2694.69,379.989,1024,25.72,4.52,13.41
cspresnet50w,256,2694.09,380.081,1024,28.12,5.04,12.19
coatnet_0_rw_224,224,2684.42,381.451,1024,27.44,4.43,18.73
poolformerv2_s12,224,2665.71,384.127,1024,11.89,1.83,5.53
mobileone_s3,224,2662.7,384.561,1024,10.17,1.94,13.85
resnest26d,224,2658.83,385.121,1024,17.07,3.64,9.97
efficientvit_b2,256,2647.05,386.835,1024,24.33,2.09,19.03
regnetx_040,224,2643.92,387.289,1024,22.12,3.99,12.2
regnety_032,224,2640.33,387.82,1024,19.44,3.2,11.26
resnet51q,256,2620.47,390.76,1024,35.7,6.38,16.55
repvgg_b1g4,224,2615.17,391.55,1024,39.97,8.15,10.64
nf_regnet_b3,320,2615.09,391.563,1024,18.59,2.05,14.61
gmixer_24_224,224,2609.82,392.354,1024,24.72,5.28,14.45
densenetblur121d,224,2595.94,394.451,1024,8.0,3.11,7.9
edgenext_small,320,2590.64,395.256,1024,5.59,1.97,14.16
mobilevit_s,256,2588.55,395.577,1024,5.58,2.03,19.94
cs3darknet_focus_x,256,2586.12,395.949,1024,35.02,8.03,10.69
inception_v3,299,2561.31,399.784,1024,23.83,5.73,8.97
resnet152,176,2560.74,399.874,1024,60.19,7.22,13.99
nf_ecaresnet50,224,2541.49,402.904,1024,25.56,4.21,11.13
resnetblur50d,224,2541.42,402.913,1024,25.58,5.4,12.82
resnet26t,320,2540.06,403.129,1024,16.01,5.24,16.44
nf_seresnet50,224,2535.8,403.807,1024,28.09,4.21,11.13
convnextv2_nano,224,2534.59,403.998,1024,15.62,2.46,8.37
efficientnet_b0_g8_gn,224,2533.38,404.193,1024,6.56,0.66,6.75
resnetrs101,192,2519.45,406.427,1024,63.62,6.04,12.7
convnext_nano_ols,288,2512.2,407.6,1024,15.65,4.38,15.5
vit_medium_patch16_gap_240,240,2499.59,409.656,1024,44.4,9.22,18.81
densenet169,224,2499.14,409.729,1024,14.15,3.4,7.3
mobilenetv4_hybrid_medium,384,2489.91,411.248,1024,11.07,3.01,21.18
xcit_small_12_p16_224,224,2480.75,412.767,1024,26.25,4.82,12.58
cs3darknet_x,256,2478.79,413.095,1024,35.05,8.38,11.35
cspresnext50,256,2475.13,413.705,1024,20.57,4.05,15.86
darknetaa53,256,2444.37,418.912,1024,36.02,7.97,12.39
darknet53,256,2438.24,419.962,1024,41.61,9.31,12.39
seresnext26t_32x4d,288,2437.82,420.035,1024,16.81,4.46,16.68
maxvit_pico_rw_256,256,2433.04,315.645,768,7.46,1.83,22.3
sehalonet33ts,256,2426.84,421.938,1024,13.69,3.55,14.7
maxvit_rmlp_pico_rw_256,256,2425.78,316.588,768,7.52,1.85,24.86
seresnext26d_32x4d,288,2422.58,422.677,1024,16.81,4.51,16.85
vit_base_r26_s32_224,224,2414.03,424.176,1024,101.38,6.81,12.36
hgnet_tiny,288,2409.6,424.956,1024,14.74,7.51,10.51
focalnet_tiny_srf,224,2408.09,425.223,1024,28.43,4.42,16.32
fastvit_t12,256,2389.89,428.462,1024,7.55,1.42,12.42
coatnet_rmlp_nano_rw_224,224,2375.1,431.128,1024,15.15,2.62,20.34
resnet61q,256,2368.57,432.318,1024,36.85,7.8,17.01
edgenext_base,256,2365.56,432.866,1024,18.51,3.85,15.58
resnetv2_101,224,2358.08,434.239,1024,44.54,7.83,16.23
hiera_small_224,224,2356.28,434.571,1024,35.01,6.42,20.75
nf_resnet50,256,2351.74,435.412,1024,25.56,5.46,14.52
cs3sedarknet_x,256,2344.23,436.807,1024,35.4,8.38,11.35
resnet50_mlp,256,2333.79,438.762,1024,26.65,7.05,16.25
ecaresnet50t,256,2331.13,439.262,1024,25.57,5.64,15.45
resnetv2_50,288,2330.51,439.377,1024,25.55,6.79,18.37
xcit_nano_12_p8_224,224,2328.05,439.842,1024,3.05,2.16,15.71
efficientnet_lite3,300,2314.24,442.468,1024,8.2,1.65,21.85
resnest50d_1s4x24d,224,2310.08,443.264,1024,25.68,4.43,13.57
resnet101,224,2287.55,447.629,1024,44.55,7.83,16.23
dm_nfnet_f0,192,2284.54,448.22,1024,71.49,7.21,10.16
efficientnetv2_s,288,2283.97,448.33,1024,21.46,4.75,20.13
ecaresnet26t,320,2283.24,448.474,1024,16.01,5.24,16.44
pvt_v2_b2,224,2282.41,448.635,1024,25.36,4.05,27.53
gcresnext50ts,288,2276.49,449.804,1024,15.67,4.75,19.57
dla102,224,2270.79,450.932,1024,33.27,7.19,14.18
dpn68b,288,2266.47,451.792,1024,12.61,3.89,17.3
fastvit_s12,256,2263.12,452.46,1024,9.47,1.82,13.67
gmlp_s16_224,224,2262.28,452.629,1024,19.42,4.42,15.1
skresnet50,224,2261.97,452.692,1024,25.8,4.11,12.5
ecaresnetlight,288,2258.94,453.299,1024,30.16,6.79,13.91
rdnet_tiny,224,2257.25,453.639,1024,23.86,5.06,15.98
fastvit_sa12,256,2256.89,453.711,1024,11.58,1.96,14.03
focalnet_tiny_lrf,224,2250.45,455.008,1024,28.65,4.49,17.76
regnetx_080,224,2241.1,456.908,1024,39.57,8.02,14.06
resnetv2_101d,224,2230.6,459.058,1024,44.56,8.07,17.04
hgnetv2_b3,288,2229.64,459.256,1024,16.29,2.94,8.38
resnet101c,224,2225.59,460.093,1024,44.57,8.08,17.04
vit_medium_patch16_gap_256,256,2220.07,461.236,1024,38.86,10.59,22.15
resnet50,288,2211.87,462.946,1024,25.56,6.8,18.37
edgenext_small_rw,320,2206.45,464.081,1024,7.83,2.46,14.85
gcresnet50t,288,2205.25,464.336,1024,25.9,6.86,18.57
vit_base_resnet50d_224,224,2196.36,466.215,1024,110.97,8.73,16.92
regnetv_040,288,2184.78,468.687,1024,20.64,6.6,20.3
eva02_tiny_patch14_336,336,2169.41,472.008,1024,5.76,4.68,27.16
regnety_040,288,2169.12,472.071,1024,20.65,6.61,20.3
efficientnetv2_rw_s,288,2168.46,472.214,1024,23.94,4.91,21.41
eva02_small_patch14_224,224,2168.12,472.287,1024,21.62,6.14,18.28
resnet101d,224,2168.0,472.315,1024,44.57,8.08,17.04
vgg13,224,2160.71,473.907,1024,133.05,11.31,12.25
gcvit_xtiny,224,2157.88,474.529,1024,19.98,2.93,20.26
mobilevitv2_125,256,2156.6,474.811,1024,7.48,2.86,20.1
convnextv2_pico,288,2147.68,476.783,1024,9.07,2.27,10.08
skresnet50d,224,2140.48,478.386,1024,25.82,4.36,13.31
res2net50_26w_6s,224,2137.67,479.014,1024,37.05,6.33,15.28
ecaresnet101d_pruned,288,2127.79,481.24,1024,24.88,5.75,12.71
hrnet_w18_ssld,224,2127.32,481.346,1024,21.3,4.32,16.31
efficientvit_l2,224,2122.96,482.334,1024,63.71,6.97,19.58
hieradet_small,256,2119.77,362.292,768,34.72,8.51,27.76
tf_efficientnet_lite3,300,2115.57,484.019,1024,8.2,1.65,21.85
hrnet_w18,224,2115.21,484.101,1024,21.3,4.32,16.31
efficientformer_l3,224,2095.8,488.585,1024,31.41,3.93,12.01
efficientvit_b2,288,2095.12,488.743,1024,24.33,2.64,24.03
wide_resnet50_2,224,2093.41,489.145,1024,68.88,11.43,14.4
sebotnet33ts_256,256,2091.61,244.778,512,13.7,3.89,17.46
poolformer_s24,224,2090.86,489.741,1024,21.39,3.41,10.68
resnet51q,288,2086.73,490.708,1024,35.7,8.07,20.94
vit_medium_patch16_reg1_gap_256,256,2074.81,493.527,1024,38.88,10.63,22.26
cspdarknet53,256,2060.68,496.914,1024,27.64,6.57,16.81
nextvit_base,224,2056.15,498.007,1024,44.82,8.29,23.71
vit_medium_patch16_reg4_gap_256,256,2054.73,498.351,1024,38.88,10.76,22.6
efficientnet_b3,288,2053.58,498.63,1024,12.23,1.63,21.49
resnet50t,288,2045.49,500.603,1024,25.57,7.14,19.53
dla102x,224,2042.36,501.368,1024,26.31,5.89,19.42
pvt_v2_b2_li,224,2034.87,503.215,1024,22.55,3.91,27.6
legacy_seresnet101,224,2032.63,503.771,1024,49.33,7.61,15.74
resnet50d,288,2031.97,503.934,1024,25.58,7.19,19.7
mixnet_xl,224,2030.61,504.271,1024,11.9,0.93,14.57
resnet101_clip_gap,224,2015.07,508.159,1024,42.52,9.11,17.56
resnetaa101d,224,2013.22,508.627,1024,44.57,9.12,17.56
swin_tiny_patch4_window7_224,224,2008.94,509.712,1024,28.29,4.51,17.06
repvgg_b1,224,2004.0,510.966,1024,57.42,13.16,10.64
coatnet_bn_0_rw_224,224,2002.05,511.465,1024,27.44,4.67,22.04
cs3edgenet_x,256,1996.96,512.768,1024,47.82,11.53,12.92
coatnet_rmlp_0_rw_224,224,1995.05,513.261,1024,27.45,4.72,24.89
maxxvit_rmlp_nano_rw_256,256,1993.93,385.157,768,16.78,4.37,26.05
cs3sedarknet_xdw,256,1988.81,514.859,1024,21.6,5.97,17.18
seresnet101,224,1987.57,515.192,1024,49.33,7.84,16.27
resnetaa50,288,1985.73,515.67,1024,25.56,8.52,19.24
resnet101s,224,1984.65,515.949,1024,44.67,9.19,18.64
mobilenetv4_conv_large,384,1984.05,516.104,1024,32.59,6.43,27.31
regnetx_064,224,1979.8,517.214,1024,26.21,6.49,16.37
regnetz_d32,256,1973.2,518.943,1024,27.58,5.98,23.74
nest_tiny,224,1968.18,520.267,1024,17.06,5.83,25.48
tf_efficientnetv2_s,300,1966.15,520.804,1024,21.46,5.35,22.73
regnetz_d8,256,1964.69,521.191,1024,23.37,3.97,23.74
regnetz_c16,320,1962.44,521.788,1024,13.46,3.92,25.88
tresnet_v2_l,224,1957.54,523.094,1024,46.17,8.85,16.34
cs3darknet_x,288,1954.84,523.818,1024,35.05,10.6,14.36
ese_vovnet39b,288,1951.57,524.694,1024,24.57,11.71,11.13
mobileone_s4,224,1950.42,525.005,1024,14.95,3.04,17.74
crossvit_18_240,240,1944.91,526.492,1024,43.27,9.05,26.26
nest_tiny_jx,224,1943.83,526.786,1024,17.06,5.83,25.48
convnext_tiny,288,1942.31,527.195,1024,28.59,7.39,22.21
resnext101_32x4d,224,1940.6,527.66,1024,44.18,8.01,21.23
xcit_tiny_12_p16_384,384,1933.82,529.511,1024,6.72,3.64,18.26
seresnet50,288,1928.14,531.071,1024,28.09,6.8,18.39
darknetaa53,288,1927.58,531.226,1024,36.02,10.08,15.68
densenet201,224,1923.55,532.337,1024,20.01,4.34,7.85
regnetz_040,256,1923.5,532.341,1024,27.12,4.06,24.19
nf_regnet_b4,320,1923.32,532.402,1024,30.21,3.29,19.88
resnet101_clip,224,1921.47,532.914,1024,56.26,9.81,18.08
crossvit_18_dagger_240,240,1916.57,534.275,1024,44.27,9.5,27.03
darknet53,288,1911.52,535.684,1024,41.61,11.78,15.68
regnetz_040_h,256,1907.32,536.868,1024,28.94,4.12,24.29
resnext101_32x8d,176,1906.27,537.164,1024,88.79,10.33,19.37
halonet50ts,256,1904.72,537.602,1024,22.73,5.3,19.2
repvit_m2_3,224,1903.75,537.874,1024,23.69,4.57,26.21
ecaresnet101d,224,1900.31,538.848,1024,44.57,8.08,17.07
coat_lite_small,224,1894.79,540.417,1024,19.84,3.96,22.09
vgg13_bn,224,1891.12,541.467,1024,133.05,11.33,12.25
resnet61q,288,1890.53,541.637,1024,36.85,9.87,21.52
nf_resnet101,224,1888.17,542.312,1024,44.55,8.01,16.23
twins_pcpvt_base,224,1884.87,543.263,1024,43.83,6.68,25.25
convnext_small,224,1878.13,545.211,1024,50.22,8.71,21.56
cs3se_edgenet_x,256,1863.97,549.353,1024,50.72,11.53,12.94
resnext50_32x4d,288,1862.16,549.888,1024,25.03,7.04,23.81
wide_resnet101_2,176,1861.75,550.01,1024,126.89,14.31,13.18
resmlp_36_224,224,1860.14,550.485,1024,44.69,8.91,16.33
volo_d1_224,224,1858.16,551.072,1024,26.63,6.94,24.43
eca_nfnet_l0,288,1849.16,553.756,1024,24.14,7.12,17.29
nfnet_l0,288,1843.23,555.536,1024,35.07,7.13,17.29
cs3sedarknet_x,288,1842.15,555.861,1024,35.4,10.6,14.37
resnetaa50d,288,1841.55,556.042,1024,25.58,8.92,20.57
resnetv2_50d_gn,224,1829.87,559.59,1024,25.57,4.38,11.92
swin_s3_tiny_224,224,1829.63,559.665,1024,28.33,4.64,19.13
sequencer2d_s,224,1819.49,562.785,1024,27.65,4.96,11.31
nf_resnet50,288,1819.2,562.875,1024,25.56,6.88,18.37
ecaresnet50t,288,1803.63,567.733,1024,25.57,7.14,19.55
resnest50d,224,1801.69,568.346,1024,27.48,5.4,14.36
seresnet50t,288,1799.96,568.892,1024,28.1,7.14,19.55
densenet121,288,1797.45,569.685,1024,7.98,4.74,11.41
rexnetr_200,288,1796.89,427.395,768,16.52,2.62,24.96
ecaresnet50d,288,1794.35,570.669,1024,25.58,7.19,19.72
res2net101_26w_4s,224,1792.61,571.216,1024,45.21,8.1,18.45
maxxvitv2_nano_rw_256,256,1787.4,429.664,768,23.7,6.26,23.05
resnetblur101d,224,1777.64,576.032,1024,44.57,9.12,17.94
resnet50_gn,224,1775.58,576.701,1024,25.56,4.14,11.11
cait_xxs24_224,224,1772.36,577.749,1024,11.96,2.53,20.29
maxvit_nano_rw_256,256,1770.91,433.665,768,15.45,4.46,30.28
mixer_b16_224,224,1768.46,579.024,1024,59.88,12.62,14.53
maxvit_rmlp_nano_rw_256,256,1766.45,434.761,768,15.5,4.47,31.92
vit_large_patch32_224,224,1766.19,579.765,1024,305.51,15.39,13.3
vit_base_patch32_clip_384,384,1763.15,580.767,1024,88.3,13.06,16.5
pit_b_224,224,1762.75,580.9,1024,73.76,12.42,32.94
vit_base_patch32_384,384,1762.38,581.02,1024,88.3,13.06,16.5
mobilevitv2_150,256,1758.79,436.653,768,10.59,4.09,24.11
regnety_064,224,1758.25,582.385,1024,30.58,6.39,16.41
res2net50_26w_8s,224,1757.77,582.547,1024,48.4,8.37,17.95
pit_b_distilled_224,224,1754.34,583.684,1024,74.79,12.5,33.07
rexnetr_300,224,1740.52,588.318,1024,34.81,3.39,22.16
regnetv_064,224,1737.51,589.338,1024,30.58,6.39,16.41
tresnet_l,224,1735.02,590.182,1024,55.99,10.9,11.9
resnext50d_32x4d,288,1734.0,590.533,1024,25.05,7.44,25.13
resnetv2_101x1_bit,224,1730.09,591.866,1024,44.54,8.04,16.23
resnetv2_50d_frn,224,1729.39,592.103,1024,25.59,4.33,11.92
vgg16,224,1729.39,592.106,1024,138.36,15.47,13.56
seresnext101_32x4d,224,1725.09,593.58,1024,48.96,8.02,21.26
legacy_seresnext101_32x4d,224,1721.49,594.81,1024,48.96,8.02,21.26
res2net101d,224,1716.39,596.589,1024,45.23,8.35,19.25
tf_efficientnet_b3,300,1715.74,596.818,1024,12.23,1.87,23.83
hgnetv2_b5,288,1704.12,600.886,1024,39.57,10.84,18.5
convnext_tiny_hnf,288,1697.32,603.29,1024,28.59,7.39,22.21
vitamin_small_224,224,1687.84,606.683,1024,22.03,5.92,26.38
ese_vovnet39b_evos,224,1686.51,607.159,1024,24.58,7.07,6.74
regnety_080,224,1686.26,607.249,1024,39.18,8.0,17.97
coatnet_0_224,224,1678.81,304.968,512,25.04,4.58,24.01
convnextv2_tiny,224,1674.96,611.347,1024,28.64,4.47,13.44
regnetz_b16_evos,224,1670.61,612.94,1024,9.74,1.43,9.95
resnet101d,256,1668.7,613.64,1024,44.57,10.55,22.25
botnet50ts_256,256,1666.23,307.27,512,22.74,5.54,22.23
fastvit_mci0,256,1665.78,614.716,1024,11.41,2.42,18.29
efficientnet_b3,320,1664.16,615.315,1024,12.23,2.01,26.52
maxvit_tiny_rw_224,224,1656.79,463.537,768,29.06,5.11,33.11
seresnext50_32x4d,288,1655.64,618.482,1024,27.56,7.04,23.82
hiera_small_abswin_256,256,1653.07,619.442,1024,34.36,8.29,26.38
davit_small,224,1646.59,466.407,768,49.75,8.8,30.49
inception_next_small,224,1645.81,622.174,1024,49.37,8.36,19.27
nextvit_large,224,1645.06,622.459,1024,57.87,10.78,28.99
coatnet_rmlp_1_rw_224,224,1642.36,623.482,1024,41.69,7.85,35.47
seresnetaa50d,288,1641.68,623.736,1024,28.11,8.92,20.59
swinv2_cr_tiny_224,224,1640.6,624.15,1024,28.33,4.66,28.45
efficientvit_b3,224,1640.13,624.331,1024,48.65,3.99,26.9
resnetv2_152,224,1638.56,624.928,1024,60.19,11.55,22.56
legacy_xception,299,1625.38,472.494,768,22.86,8.4,35.83
efficientnet_el,300,1618.59,632.638,1024,10.59,8.0,30.7
resnetblur50,288,1611.97,635.236,1024,25.56,8.52,19.87
swinv2_cr_tiny_ns_224,224,1611.34,635.485,1024,28.33,4.66,28.45
efficientnet_el_pruned,300,1610.86,635.676,1024,10.59,8.0,30.7
pvt_v2_b3,224,1608.94,636.429,1024,45.24,6.92,37.7
resnet152,224,1606.24,637.501,1024,60.19,11.56,22.56
regnety_040_sgn,224,1600.6,639.748,1024,20.65,4.03,12.29
hiera_base_224,224,1599.47,640.202,1024,51.52,9.4,30.42
hgnet_small,288,1591.36,482.595,768,24.36,14.09,14.53
vit_small_resnet50d_s16_224,224,1590.51,643.806,1024,57.53,13.48,24.82
cs3edgenet_x,288,1584.3,646.332,1024,47.82,14.59,16.36
vit_base_patch16_siglip_gap_224,224,1583.21,646.778,1024,85.8,17.49,23.75
mvitv2_tiny,224,1582.77,646.956,1024,24.17,4.7,21.16
mixer_l32_224,224,1581.12,647.634,1024,206.94,11.27,19.86
deit_base_patch16_224,224,1579.88,648.139,1024,86.57,17.58,23.9
halo2botnet50ts_256,256,1579.41,648.334,1024,22.64,5.02,21.78
deit_base_distilled_patch16_224,224,1578.79,648.588,1024,87.34,17.68,24.05
resnetv2_152d,224,1578.66,648.638,1024,60.2,11.8,23.36
regnety_032,288,1575.76,649.833,1024,19.44,5.29,18.61
vit_base_patch16_224_miil,224,1573.4,650.81,1024,94.4,17.59,23.91
vit_base_patch16_224,224,1572.08,651.357,1024,86.57,17.58,23.9
resnet152c,224,1571.84,651.453,1024,60.21,11.8,23.36
regnety_080_tv,224,1571.53,651.584,1024,39.38,8.51,19.73
nf_seresnet101,224,1570.7,651.927,1024,49.33,8.02,16.27
vit_base_patch16_clip_224,224,1570.62,651.96,1024,86.57,17.58,23.9
nf_ecaresnet101,224,1570.49,652.017,1024,44.55,8.01,16.27
tf_efficientnet_el,300,1566.79,653.554,1024,10.59,8.0,30.7
vit_base_patch16_siglip_224,224,1566.04,653.867,1024,92.88,17.73,24.06
mobilenetv4_conv_aa_large,384,1562.44,655.376,1024,32.59,7.07,32.29
vit_base_mci_224,224,1562.31,655.429,1024,86.35,17.73,24.65
ese_vovnet99b,224,1559.84,656.466,1024,63.2,16.51,11.27
vit_base_patch16_gap_224,224,1554.04,658.919,1024,86.57,17.49,25.59
caformer_s18,224,1550.47,660.434,1024,26.34,4.13,19.39
rexnet_300,224,1550.16,660.567,1024,34.71,3.44,22.4
hrnet_w32,224,1547.9,661.528,1024,41.23,8.97,22.02
efficientvit_l2,256,1547.32,661.778,1024,63.71,9.09,25.49
repvgg_b2g4,224,1545.72,662.466,1024,61.76,12.63,12.9
densenetblur121d,288,1544.46,663.005,1024,8.0,5.14,13.06
resnet152d,224,1541.31,664.361,1024,60.21,11.8,23.36
convnextv2_nano,288,1537.16,499.612,768,15.62,4.06,13.84
beit_base_patch16_224,224,1536.2,666.568,1024,86.53,17.58,23.9
vgg16_bn,224,1534.81,667.174,1024,138.37,15.5,13.56
rdnet_small,224,1534.32,667.385,1024,50.44,8.74,22.55
nfnet_f0,256,1532.99,667.963,1024,71.49,12.62,18.05
vit_medium_patch16_rope_reg1_gap_256,256,1531.11,668.785,1024,38.74,10.63,22.26
beitv2_base_patch16_224,224,1520.92,673.265,1024,86.53,17.58,23.9
resnetblur50d,288,1515.28,675.773,1024,25.58,8.92,21.19
vit_base_patch16_rpn_224,224,1513.98,676.348,1024,86.54,17.49,23.75
edgenext_base,320,1511.01,677.677,1024,18.51,6.01,24.32
convit_small,224,1505.94,679.963,1024,27.78,5.76,17.87
dla169,224,1503.13,681.233,1024,53.39,11.6,20.2
deit3_base_patch16_224,224,1496.23,684.377,1024,86.59,17.58,23.9
vit_relpos_base_patch16_rpn_224,224,1482.24,690.829,1024,86.41,17.51,24.97
vit_relpos_base_patch16_224,224,1477.58,693.015,1024,86.43,17.51,24.97
xcit_tiny_12_p8_224,224,1475.49,693.994,1024,6.71,4.81,23.6
skresnext50_32x4d,224,1475.1,694.179,1024,27.48,4.5,17.18
vit_relpos_base_patch16_clsgap_224,224,1468.63,697.236,1024,86.43,17.6,25.12
vit_small_patch16_384,384,1467.92,697.574,1024,22.2,15.52,50.78
ecaresnet50t,320,1467.5,697.775,1024,25.57,8.82,24.13
vit_relpos_base_patch16_cls_224,224,1467.04,697.995,1024,86.43,17.6,25.12
mobilevitv2_175,256,1465.89,349.264,512,14.25,5.54,28.13
vit_small_patch16_36x1_224,224,1461.67,700.555,1024,64.67,13.71,35.69
gcvit_tiny,224,1457.43,702.592,1024,28.22,4.79,29.82
convformer_s18,224,1455.15,703.698,1024,26.77,3.96,15.82
vit_betwixt_patch16_reg1_gap_256,256,1449.59,706.394,1024,60.4,16.32,27.83
resnetv2_50d_evos,224,1447.75,707.29,1024,25.59,4.33,11.92
focalnet_small_srf,224,1446.06,708.111,1024,49.89,8.62,26.26
resnet152s,224,1444.93,708.675,1024,60.32,12.92,24.96
vgg19,224,1441.62,710.3,1024,143.67,19.63,14.86
vit_betwixt_patch16_reg4_gap_256,256,1434.73,713.713,1024,60.4,16.52,28.24
dpn92,224,1422.77,719.712,1024,37.67,6.54,18.21
regnetx_120,224,1419.34,721.451,1024,46.11,12.13,21.37
sequencer2d_m,224,1415.18,723.57,1024,38.31,6.55,14.26
resnetv2_101,288,1410.42,726.012,1024,44.54,12.94,26.83
vit_small_patch16_18x2_224,224,1410.32,726.067,1024,64.67,13.71,35.69
dla102x2,224,1408.31,727.1,1024,41.28,9.34,29.91
legacy_seresnet152,224,1405.68,728.463,1024,66.82,11.33,22.08
poolformer_s36,224,1403.92,729.375,1024,30.86,5.0,15.82
densenet161,224,1400.64,731.082,1024,28.68,7.79,11.06
mobilenetv4_hybrid_large,384,1400.4,731.209,1024,37.76,7.77,34.52
maxvit_tiny_tf_224,224,1398.62,549.103,768,30.92,5.6,35.78
vit_base_patch16_clip_quickgelu_224,224,1393.62,734.768,1024,86.19,17.58,23.9
flexivit_base,240,1387.12,738.211,1024,86.59,20.29,28.36
seresnet152,224,1385.77,738.93,1024,66.82,11.57,22.61
mobilenetv4_hybrid_medium,448,1381.87,741.016,1024,11.07,4.2,29.64
poolformerv2_s24,224,1380.23,741.894,1024,21.34,3.42,10.68
efficientformerv2_s0,224,1376.45,743.934,1024,3.6,0.41,5.3
deit3_small_patch16_384,384,1372.21,746.232,1024,22.21,15.52,50.78
repvgg_b2,224,1368.31,748.357,1024,89.02,20.45,12.9
resnet101,288,1367.0,749.076,1024,44.55,12.95,26.83
coatnet_1_rw_224,224,1362.79,751.389,1024,41.72,8.04,34.6
coatnet_rmlp_1_rw2_224,224,1362.11,751.762,1024,41.72,8.11,40.13
focalnet_small_lrf,224,1356.15,755.049,1024,50.34,8.74,28.61
twins_pcpvt_large,224,1355.77,755.28,1024,60.99,9.84,35.82
inception_v4,299,1352.8,756.936,1024,42.68,12.28,15.09
maxxvit_rmlp_tiny_rw_256,256,1347.99,569.726,768,29.64,6.66,39.76
regnetx_160,224,1347.67,759.82,1024,54.28,15.99,25.52
regnety_120,224,1342.31,762.851,1024,51.82,12.14,21.38
eca_nfnet_l1,256,1339.38,764.526,1024,41.41,9.62,22.04
nf_regnet_b4,384,1338.66,764.931,1024,30.21,4.7,28.61
fastvit_sa24,256,1331.86,768.836,1024,21.55,3.8,24.32
xcit_small_24_p16_224,224,1319.85,775.833,1024,47.67,9.1,23.64
vit_base_patch32_clip_448,448,1316.78,777.646,1024,88.34,17.93,23.9
convnext_base,224,1309.55,781.937,1024,88.59,15.38,28.75
hrnet_w30,224,1307.0,783.46,1024,37.71,8.15,21.21
vit_base_patch16_xp_224,224,1302.22,786.337,1024,86.51,17.56,23.9
mixnet_xxl,224,1300.49,590.535,768,23.96,2.04,23.43
efficientnet_b4,320,1298.17,591.59,768,19.34,3.13,34.76
vgg19_bn,224,1292.29,792.382,1024,143.68,19.66,14.86
dm_nfnet_f0,256,1291.37,792.948,1024,71.49,12.62,18.05
hrnet_w18_ssld,288,1289.07,794.359,1024,21.3,7.14,26.96
efficientnetv2_s,384,1287.98,795.031,1024,21.46,8.44,35.77
efficientvit_b3,256,1282.51,798.417,1024,48.65,5.2,35.01
mobilevitv2_200,256,1277.35,400.82,512,18.45,7.22,32.15
maxvit_tiny_rw_256,256,1275.72,601.999,768,29.07,6.74,44.35
maxvit_rmlp_tiny_rw_256,256,1275.02,602.33,768,29.15,6.77,46.92
efficientformerv2_s1,224,1269.21,806.789,1024,6.19,0.67,7.66
hiera_base_plus_224,224,1266.71,808.384,1024,69.9,12.67,37.98
twins_svt_base,224,1264.21,809.978,1024,56.07,8.59,26.33
regnetz_d32,320,1259.82,812.801,1024,27.58,9.33,37.08
regnetz_d8,320,1256.35,815.05,1024,23.37,6.19,37.08
nest_small,224,1255.15,815.828,1024,38.35,10.35,40.04
wide_resnet50_2,288,1252.17,817.768,1024,68.88,18.89,23.81
repvgg_b3g4,224,1248.83,819.957,1024,83.83,17.89,15.1
vit_mediumd_patch16_reg4_gap_256,256,1247.91,820.557,1024,64.11,17.87,37.57
tf_efficientnetv2_s,384,1246.18,821.699,1024,21.46,8.44,35.77
regnetz_040,320,1245.23,411.16,512,27.12,6.35,37.78
nest_small_jx,224,1245.09,822.421,1024,38.35,10.35,40.04
hgnetv2_b6,224,1242.11,824.392,1024,75.26,16.88,21.23
regnetz_040_h,320,1240.62,412.685,512,28.94,6.43,37.94
swin_small_patch4_window7_224,224,1233.81,829.94,1024,49.61,8.77,27.47
vit_base_patch16_siglip_gap_256,256,1230.86,831.929,1024,85.84,23.13,33.23
efficientnetv2_rw_s,384,1225.62,835.482,1024,23.94,8.72,38.03
efficientvit_l2,288,1223.9,836.657,1024,63.71,11.51,32.19
resnetaa101d,288,1218.62,840.281,1024,44.57,15.07,29.03
vit_base_patch16_siglip_256,256,1217.35,841.156,1024,92.93,23.44,33.63
swinv2_tiny_window8_256,256,1216.18,841.967,1024,28.35,5.96,24.57
dpn98,224,1216.04,842.062,1024,61.57,11.73,25.2
resnext101_64x4d,224,1205.34,849.54,1024,83.46,15.52,31.21
resnest50d_4s2x40d,224,1202.36,851.648,1024,30.42,4.4,17.94
cs3se_edgenet_x,320,1198.22,854.587,1024,50.72,18.01,20.21
cait_xxs36_224,224,1195.59,856.47,1024,17.3,3.77,30.34
resnext101_32x8d,224,1193.92,857.665,1024,88.79,16.48,31.21
seresnet101,288,1192.86,858.428,1024,49.33,12.95,26.87
resnet152d,256,1185.38,863.846,1024,60.21,15.41,30.51
mobilenetv4_conv_large,448,1178.81,868.664,1024,32.59,8.75,37.17
wide_resnet101_2,224,1175.48,871.125,1024,126.89,22.8,21.23
mvitv2_small,224,1171.19,874.316,1024,34.87,7.0,28.08
resnet200,224,1170.95,874.489,1024,64.67,15.07,32.19
tnt_s_patch16_224,224,1170.11,875.118,1024,23.76,5.24,24.37
inception_resnet_v2,299,1170.1,875.124,1024,55.84,13.18,25.06
davit_base,224,1167.76,657.658,768,87.95,15.51,40.66
resnext101_32x4d,288,1162.51,880.842,1024,44.18,13.24,35.09
maxvit_tiny_pm_256,256,1161.84,661.01,768,30.09,6.61,47.9
convnext_small,288,1159.49,883.132,1024,50.22,14.39,35.65
rexnetr_300,288,1159.12,441.698,512,34.81,5.59,36.61
coat_tiny,224,1155.52,886.171,1024,5.5,4.35,27.2
vit_base_patch16_reg4_gap_256,256,1154.66,886.829,1024,86.62,23.5,33.89
resnetrs101,288,1154.54,886.919,1024,63.62,13.56,28.53
samvit_base_patch16_224,224,1151.9,888.955,1024,86.46,17.54,24.54
pvt_v2_b4,224,1149.9,890.501,1024,62.56,10.14,53.74
mobilenetv4_conv_aa_large,448,1147.75,669.124,768,32.59,9.63,43.94
coatnet_1_224,224,1146.63,446.514,512,42.23,8.7,39.0
ecaresnet101d,288,1141.31,897.207,1024,44.57,13.35,28.19
tresnet_xl,224,1138.85,899.141,1024,78.44,15.2,15.34
regnety_160,224,1136.53,900.98,1024,83.59,15.96,23.04
crossvit_base_240,240,1135.75,901.594,1024,105.03,21.22,36.33
mvitv2_small_cls,224,1134.19,902.839,1024,34.87,7.04,28.17
efficientnet_lite4,380,1132.94,677.871,768,13.01,4.04,45.66
seresnext101_64x4d,224,1117.32,916.471,1024,88.23,15.53,31.25
hiera_base_abswin_256,256,1113.82,919.348,1024,51.27,12.46,40.7
vit_small_r26_s32_384,384,1112.62,920.336,1024,36.47,10.43,29.85
eva02_base_patch16_clip_224,224,1111.45,921.303,1024,86.26,17.62,26.32
seresnext101_32x8d,224,1107.29,924.747,1024,93.57,16.48,31.25
nfnet_f1,224,1107.23,924.822,1024,132.63,17.87,22.94
resnetv2_50d_gn,288,1101.48,929.642,1024,25.57,7.24,19.7
convnext_tiny,384,1100.29,697.987,768,28.59,13.14,39.48
vit_betwixt_patch16_rope_reg4_gap_256,256,1097.57,932.963,1024,60.23,16.52,28.24
vit_large_r50_s32_224,224,1097.32,933.175,1024,328.99,19.58,24.41
pvt_v2_b5,224,1091.19,938.413,1024,81.96,11.76,50.92
inception_next_base,224,1084.8,943.94,1024,86.67,14.85,25.69
efficientnetv2_m,320,1081.64,946.698,1024,54.14,11.01,39.97
seresnext101d_32x8d,224,1078.94,949.057,1024,93.59,16.72,32.05
resnet50_gn,288,1076.3,951.392,1024,25.56,6.85,18.37
hrnet_w40,224,1068.64,958.191,1024,57.56,12.75,25.29
resnetblur101d,288,1065.75,960.81,1024,44.57,15.07,29.65
regnety_064,288,1059.2,966.744,1024,30.58,10.56,27.11
hgnet_base,224,1056.26,727.083,768,71.58,25.14,15.47
resnet101d,320,1056.02,969.668,1024,44.57,16.48,34.77
tf_efficientnet_lite4,380,1054.8,728.091,768,13.01,4.04,45.66
regnetz_e8,256,1047.73,977.344,1024,57.7,9.91,40.94
regnetv_064,288,1046.59,978.402,1024,30.58,10.55,27.11
xception41p,299,1040.78,737.896,768,26.91,9.25,39.86
xcit_tiny_24_p16_384,384,1037.06,987.399,1024,12.12,6.87,34.29
seresnext101_32x4d,288,1034.95,989.41,1024,48.96,13.25,35.12
vit_small_patch8_224,224,1034.54,989.803,1024,21.67,22.44,80.84
resnetrs152,256,1034.09,990.227,1024,86.62,15.59,30.83
repvgg_b3,224,1033.07,991.212,1024,123.09,29.16,15.1
seresnet152d,256,1030.66,993.53,1024,66.84,15.42,30.56
rdnet_base,224,1021.45,751.859,768,87.45,15.4,31.14
convnextv2_tiny,288,1017.72,754.62,768,28.64,7.39,22.21
convnextv2_small,224,1015.43,1008.427,1024,50.32,8.71,21.56
volo_d2_224,224,1012.98,1010.867,1024,58.68,14.34,41.34
regnety_080,288,1011.46,1012.381,1024,39.18,13.22,29.69
seresnextaa101d_32x8d,224,1009.83,1014.006,1024,93.59,17.25,34.16
regnetz_b16_evos,288,1009.35,760.872,768,9.74,2.36,16.43
vit_base_patch16_plus_240,240,1008.65,1015.202,1024,117.56,27.41,33.08
efficientvit_b3,288,1004.87,1019.022,1024,48.65,6.58,44.2
swinv2_cr_small_224,224,1004.71,1019.185,1024,49.7,9.07,50.27
convnext_base,256,1004.59,1019.308,1024,88.59,20.09,37.55
mobilenetv4_conv_aa_large,480,1000.68,767.464,768,32.59,11.05,50.45
mobilenetv4_hybrid_large,448,998.89,768.844,768,37.76,10.74,48.61
focalnet_base_srf,224,997.56,1026.494,1024,88.15,15.28,35.01
swinv2_cr_small_ns_224,224,993.8,1030.379,1024,49.7,9.08,50.27
vit_relpos_base_patch16_plus_240,240,992.65,1031.568,1024,117.38,27.3,34.33
maxvit_rmlp_small_rw_224,224,992.28,773.964,768,64.9,10.75,49.3
regnetz_c16_evos,256,990.18,775.606,768,13.49,2.48,16.57
vit_base_r50_s16_224,224,987.34,1037.117,1024,97.89,21.66,35.28
efficientformer_l7,224,979.35,1045.575,1024,82.23,10.17,24.45
regnety_040_sgn,288,975.23,1050.001,1024,20.65,6.67,20.3
poolformer_m36,224,970.83,1054.753,1024,56.17,8.8,22.02
resnet152,288,962.0,1064.442,1024,60.19,19.11,37.28
hrnet_w44,224,953.42,1073.994,1024,67.06,14.94,26.92
tiny_vit_21m_384,384,953.33,537.052,512,21.23,13.77,77.83
cait_s24_224,224,953.06,1074.42,1024,46.92,9.35,40.58
eva02_small_patch14_336,336,952.08,1075.525,1024,22.13,15.48,54.33
efficientnetv2_rw_m,320,945.61,1082.891,1024,53.24,12.72,47.14
dm_nfnet_f1,224,944.0,1084.735,1024,132.63,17.87,22.94
fastvit_sa36,256,943.99,1084.735,1024,31.53,5.64,34.61
coat_lite_medium,224,942.72,1086.203,1024,44.57,9.81,40.06
fastvit_mci1,256,940.13,1089.203,1024,21.54,4.72,32.84
gmlp_b16_224,224,938.67,1090.888,1024,73.08,15.78,30.21
resnet50x4_clip_gap,288,935.82,1094.209,1024,65.62,19.57,34.11
focalnet_base_lrf,224,935.6,1094.47,1024,88.75,15.43,38.13
xception41,299,934.86,821.502,768,26.97,9.28,39.86
hrnet_w48_ssld,224,933.73,1096.663,1024,77.47,17.34,28.56
hrnet_w48,224,931.73,1098.99,1024,77.47,17.34,28.56
poolformerv2_s36,224,930.29,1100.715,1024,30.79,5.01,15.82
nextvit_small,384,927.23,1104.355,1024,31.76,17.26,57.14
vit_mediumd_patch16_rope_reg1_gap_256,256,926.86,1104.797,1024,63.95,17.65,37.02
sequencer2d_l,224,919.78,1113.292,1024,54.3,9.74,22.12
vit_medium_patch16_gap_384,384,912.37,1122.341,1024,39.03,26.08,67.54
xcit_medium_24_p16_224,224,909.28,1126.152,1024,84.4,16.13,31.71
coat_mini,224,907.22,1128.715,1024,10.34,6.82,33.68
swin_s3_small_224,224,903.85,849.69,768,49.74,9.43,37.84
nest_base,224,893.55,1145.979,1024,67.72,17.96,53.39
levit_384_s8,224,892.81,573.461,512,39.12,9.98,35.86
resnet50x4_clip,288,889.34,1151.399,1024,87.14,21.35,35.27
efficientnet_b4,384,888.84,576.021,512,19.34,4.51,50.04
maxvit_small_tf_224,224,888.54,576.215,512,68.93,11.66,53.17
dpn131,224,887.08,1154.334,1024,79.25,16.09,32.97
nest_base_jx,224,886.64,1154.915,1024,67.72,17.96,53.39
swin_base_patch4_window7_224,224,882.78,1159.955,1024,87.77,15.47,36.63
nf_regnet_b5,384,882.37,1160.502,1024,49.74,7.95,42.9
crossvit_15_dagger_408,408,874.39,1171.086,1024,28.5,21.45,95.05
resnet200d,256,873.65,1172.086,1024,64.69,20.0,43.09
gcvit_small,224,870.49,1176.332,1024,51.09,8.57,41.61
vit_base_patch16_rope_reg1_gap_256,256,869.32,1177.92,1024,86.43,23.22,33.39
xcit_small_12_p16_384,384,868.03,1179.666,1024,26.25,14.14,36.51
resnetv2_50d_evos,288,866.61,1181.605,1024,25.59,7.15,19.7
convnextv2_nano,384,866.13,591.121,512,15.62,7.22,24.61
resnest101e,256,860.16,1190.459,1024,48.28,13.38,28.66
eca_nfnet_l1,320,858.93,1192.174,1024,41.41,14.92,34.42
efficientnet_b3_gn,288,854.4,599.243,512,11.73,1.74,23.35
tf_efficientnet_b4,380,850.07,602.294,512,19.34,4.49,49.49
levit_conv_384_s8,224,845.53,605.525,512,39.12,9.98,35.86
maxxvit_rmlp_small_rw_256,256,843.15,910.843,768,66.01,14.67,58.38
twins_svt_large,224,838.5,1221.219,1024,99.27,15.15,35.1
tresnet_m,448,836.12,1224.695,1024,31.39,22.99,29.21
coatnet_2_rw_224,224,834.11,613.819,512,73.87,15.09,49.22
seresnet152,288,833.68,1228.27,1024,66.82,19.11,37.34
xception65p,299,833.2,921.738,768,39.82,13.91,52.48
eva02_base_patch14_224,224,826.02,1239.671,1024,85.76,23.22,36.55
caformer_s36,224,824.15,1242.486,1024,39.3,8.0,37.53
mvitv2_base,224,821.61,1246.318,1024,51.47,10.16,40.5
swinv2_base_window12_192,192,807.64,1267.884,1024,109.28,11.9,39.72
regnety_120,288,807.16,951.468,768,51.82,20.06,35.34
densenet264d,224,799.46,1280.857,1024,72.74,13.57,14.0
mvitv2_base_cls,224,796.2,1286.102,1024,65.44,10.23,40.65
xcit_nano_12_p8_384,384,796.01,1286.403,1024,3.05,6.34,46.08
convnext_base,288,793.66,1290.212,1024,88.59,25.43,47.53
dpn107,224,793.14,1291.05,1024,86.92,18.38,33.46
coatnet_rmlp_2_rw_224,224,791.99,646.464,512,73.88,15.18,54.78
swinv2_tiny_window16_256,256,787.77,649.922,512,28.35,6.68,39.02
coatnet_2_224,224,782.4,490.788,384,74.68,16.5,52.67
xcit_tiny_24_p8_224,224,775.98,1319.614,1024,12.11,9.21,45.39
mobilenetv4_conv_aa_large,544,775.96,659.818,512,32.59,14.19,64.79
convformer_s36,224,772.54,1325.489,1024,40.01,7.67,30.5
mobilevitv2_150,384,765.57,668.772,512,10.59,9.2,54.25
convit_base,224,764.45,1339.509,1024,86.54,17.52,31.77
maxvit_rmlp_small_rw_256,256,758.54,1012.461,768,64.9,14.15,66.09
seresnet200d,256,754.06,1357.971,1024,71.86,20.01,43.15
ecaresnet200d,256,752.58,1360.633,1024,64.69,20.0,43.15
resnet152d,320,751.68,1362.271,1024,60.21,24.08,47.67
resnetrs200,256,751.62,1362.376,1024,93.21,20.18,43.42
tnt_b_patch16_224,224,750.18,1364.987,1024,65.41,14.09,39.01
hgnetv2_b6,288,749.26,1366.662,1024,75.26,27.9,35.09
swinv2_small_window8_256,256,744.35,1375.689,1024,49.73,11.58,40.14
xception65,299,743.1,1033.5,768,39.92,13.96,52.48
fastvit_ma36,256,742.03,1379.991,1024,44.07,7.88,41.09
swinv2_cr_small_ns_256,256,739.27,1385.138,1024,49.7,12.07,76.21
senet154,224,737.86,1387.783,1024,115.09,20.77,38.69
tf_efficientnetv2_m,384,737.21,1389.018,1024,54.14,15.85,57.52
legacy_senet154,224,736.68,1390.006,1024,115.09,20.77,38.69
convnextv2_base,224,731.86,1049.374,768,88.72,15.38,28.75
poolformer_m48,224,730.8,1401.19,1024,73.47,11.59,29.17
swin_s3_base_224,224,729.12,1404.418,1024,71.13,13.69,48.26
vit_so150m_patch16_reg4_gap_256,256,727.23,1408.073,1024,134.13,36.75,53.21
vitamin_base_224,224,725.26,705.946,512,87.72,22.68,52.77
swinv2_cr_base_224,224,723.86,1414.624,1024,87.88,15.86,59.66
volo_d3_224,224,723.01,1416.293,1024,86.33,20.78,60.09
resnext101_64x4d,288,722.92,1416.456,1024,83.46,25.66,51.59
hrnet_w64,224,719.74,1422.726,1024,128.06,28.97,35.09
vit_so150m_patch16_reg4_map_256,256,718.73,1424.714,1024,141.48,37.18,53.68
efficientvit_l3,224,718.02,1426.124,1024,246.04,27.62,39.16
swinv2_cr_base_ns_224,224,717.54,1427.086,1024,87.88,15.86,59.66
convnext_large,224,705.3,1451.859,1024,197.77,34.4,43.13
efficientnet_b3_g8_gn,288,703.78,727.494,512,14.25,2.59,23.35
resnet200,288,703.42,1455.726,1024,64.67,24.91,53.21
efficientvit_l2,384,702.19,729.139,512,63.71,20.45,57.01
nextvit_base,384,698.47,1466.053,1024,44.82,24.64,73.95
regnety_320,224,695.21,1472.933,1024,145.05,32.34,30.26
efficientnet_b3_gn,320,695.09,736.585,512,11.73,2.14,28.83
coat_small,224,692.64,1478.393,1024,21.69,12.61,44.25
fastvit_mci2,256,685.53,1493.712,1024,35.82,7.91,43.34
regnety_160,288,685.03,1121.108,768,83.59,26.37,38.07
maxxvitv2_rmlp_base_rw_224,224,675.7,1136.584,768,116.09,24.2,62.77
regnetz_e8,320,668.22,1149.315,768,57.7,15.46,63.94
efficientformerv2_s2,224,667.74,1533.519,1024,12.71,1.27,11.77
resnetrs152,320,662.28,1546.154,1024,86.62,24.34,48.14
xcit_small_12_p8_224,224,660.86,1549.491,1024,26.21,18.69,47.21
seresnext101_32x8d,288,658.56,1554.9,1024,93.57,27.24,51.63
seresnet152d,320,657.78,1556.745,1024,66.84,24.09,47.72
poolformerv2_m36,224,657.37,1557.708,1024,56.08,8.81,22.02
convnext_small,384,656.34,1170.108,768,50.22,25.58,63.37
regnetz_d8_evos,256,642.61,1593.488,1024,23.46,4.5,24.92
resnext101_32x16d,224,642.37,1594.085,1024,194.03,36.27,51.18
convnext_base,320,641.94,1196.37,768,88.59,31.39,58.68
seresnext101d_32x8d,288,641.63,1595.896,1024,93.59,27.64,52.95
regnetx_320,224,641.61,1196.979,768,107.81,31.81,36.3
efficientnetv2_m,416,641.2,1596.999,1024,54.14,18.6,67.5
gcvit_base,224,640.97,1597.568,1024,90.32,14.87,55.48
davit_large,224,640.04,1199.916,768,196.81,34.6,60.99
vit_betwixt_patch16_reg4_gap_384,384,630.92,1623.018,1024,60.6,39.71,85.28
regnetz_c16_evos,320,628.83,814.205,512,13.49,3.86,25.88
mobilevitv2_175,384,624.08,615.295,384,14.25,12.47,63.29
volo_d1_384,384,619.82,1652.09,1024,26.78,22.75,108.55
maxvit_rmlp_base_rw_224,224,618.76,1241.17,768,116.14,23.15,92.64
nf_regnet_b5,456,610.35,838.851,512,49.74,11.7,61.95
vit_large_patch32_384,384,606.96,1687.093,1024,306.63,45.31,43.86
xception71,299,606.18,1266.939,768,42.34,18.09,69.92
crossvit_18_dagger_408,408,605.96,1689.854,1024,44.61,32.47,124.87
seresnextaa101d_32x8d,288,604.03,1695.268,1024,93.59,28.51,56.44
eca_nfnet_l2,320,603.44,1696.93,1024,56.72,20.95,47.43
caformer_m36,224,592.51,1728.235,1024,56.2,13.29,50.48
levit_512_s8,224,591.37,432.884,256,74.05,21.82,52.28
ecaresnet200d,288,590.0,1735.592,1024,64.69,25.31,54.59
seresnet200d,288,589.38,1737.392,1024,71.86,25.32,54.6
seresnet269d,256,588.18,1740.943,1024,113.67,26.59,53.6
nfnet_f2,256,586.41,1746.208,1024,193.78,33.76,41.85
convmixer_768_32,224,584.59,1751.632,1024,21.11,19.55,25.95
efficientnet_b3_g8_gn,320,582.54,878.901,512,14.25,3.2,28.83
resnetv2_50x3_bit,224,579.63,1324.974,768,217.32,37.06,33.34
rdnet_large,224,573.58,892.627,512,186.27,34.74,46.67
convnextv2_tiny,384,573.01,670.132,384,28.64,13.14,39.48
hrnet_w48_ssld,288,572.81,1787.672,1024,77.47,28.66,47.21
resnetrs270,256,572.18,1789.62,1024,129.86,27.06,55.84
nextvit_large,384,560.44,1827.129,1024,57.87,32.03,90.76
efficientnetv2_rw_m,416,559.01,1831.797,1024,53.24,21.49,79.62
convformer_m36,224,558.16,1834.58,1024,57.05,12.89,42.05
levit_conv_512_s8,224,557.74,458.984,256,74.05,21.82,52.28
efficientvit_l3,256,556.67,1379.617,768,246.04,36.06,50.98
mixer_l16_224,224,555.85,1842.224,1024,208.2,44.6,41.69
resnet200d,320,554.61,1846.322,1024,64.69,31.25,67.33
efficientnet_b5,416,550.64,929.82,512,30.39,8.27,80.68
mobilevitv2_200,384,550.58,697.44,384,18.45,16.24,72.34
vit_mediumd_patch16_reg4_gap_384,384,547.09,1871.701,1024,64.27,43.67,113.51
nfnet_f1,320,543.04,1885.679,1024,132.63,35.97,46.77
convnext_large_mlp,256,539.44,1898.249,1024,200.13,44.94,56.33
maxvit_base_tf_224,224,535.21,956.621,512,119.47,24.04,95.01
swinv2_base_window8_256,256,534.01,1917.55,1024,87.92,20.37,52.59
caformer_s18,384,520.36,983.918,512,26.34,13.42,77.34
xcit_large_24_p16_224,224,515.87,1985.0,1024,189.1,35.86,47.27
deit_base_patch16_384,384,513.77,1993.08,1024,86.86,55.54,101.56
deit_base_distilled_patch16_384,384,512.49,1998.091,1024,87.63,55.65,101.82
vit_base_patch16_siglip_gap_384,384,511.96,2000.146,1024,86.09,55.43,101.3
vit_base_patch16_384,384,511.64,2001.39,1024,86.86,55.54,101.56
vit_base_patch16_clip_384,384,510.4,2006.249,1024,86.86,55.54,101.56
vit_base_patch16_siglip_384,384,506.36,2022.279,1024,93.18,56.12,102.2
convmixer_1024_20_ks9_p14,224,504.12,2031.237,1024,24.38,5.55,5.51
xcit_tiny_12_p8_384,384,502.99,2035.797,1024,6.71,14.13,69.14
swin_large_patch4_window7_224,224,502.65,1527.895,768,196.53,34.53,54.94
dm_nfnet_f2,256,502.27,2038.737,1024,193.78,33.76,41.85
convformer_s18,384,497.92,1028.262,512,26.77,11.63,46.49
poolformerv2_m48,224,495.47,2066.696,1024,73.35,11.59,29.17
halonet_h1,256,493.49,518.745,256,8.1,3.0,51.17
vit_base_patch16_18x2_224,224,493.39,2075.428,1024,256.73,52.51,71.38
tiny_vit_21m_512,512,491.13,521.239,256,21.27,27.02,177.93
swinv2_small_window16_256,256,490.52,1043.783,512,49.73,12.82,66.29
vit_small_patch14_dinov2,518,490.33,2088.369,1024,22.06,46.76,198.79
seresnextaa101d_32x8d,320,490.0,1567.336,768,93.59,35.19,69.67
vit_small_patch14_reg4_dinov2,518,488.81,2094.862,1024,22.06,46.95,199.77
vit_large_patch16_224,224,487.63,2099.948,1024,304.33,61.6,63.52
deit3_base_patch16_384,384,487.08,2102.295,1024,86.88,55.54,101.56
eva_large_patch14_196,196,485.18,2110.546,1024,304.14,61.57,63.52
swinv2_large_window12_192,192,481.88,1062.49,512,228.77,26.17,56.53
resnetrs200,320,480.76,2129.948,1024,93.21,31.51,67.81
hiera_large_224,224,474.3,2158.945,1024,213.74,40.34,83.37
beit_large_patch16_224,224,473.61,2162.105,1024,304.43,61.6,63.52
tf_efficientnetv2_m,480,473.26,2163.712,1024,54.14,24.76,89.84
beitv2_large_patch16_224,224,473.13,2164.308,1024,304.43,61.6,63.52
beit_base_patch16_384,384,468.5,2185.674,1024,86.74,55.54,101.56
deit3_large_patch16_224,224,466.41,2195.494,1024,304.37,61.6,63.52
dm_nfnet_f1,320,463.2,2210.697,1024,132.63,35.97,46.77
xcit_small_24_p16_384,384,462.31,2214.961,1024,47.67,26.72,68.58
seresnet269d,288,461.93,2216.787,1024,113.67,33.65,67.81
coatnet_3_rw_224,224,456.35,841.443,384,181.81,33.44,73.83
coatnet_rmlp_3_rw_224,224,453.17,564.897,256,165.15,33.56,79.47
efficientnet_b5,448,452.46,1131.585,512,30.39,9.59,93.56
convnext_base,384,448.09,1142.619,512,88.59,45.21,84.49
convnext_xlarge,224,446.11,1721.526,768,350.2,60.98,57.5
coatnet_3_224,224,445.37,574.791,256,166.97,36.56,79.01
convnextv2_base,288,443.59,1154.194,512,88.72,25.43,47.53
resnetv2_152x2_bit,224,442.44,2314.432,1024,236.34,46.95,45.11
efficientformerv2_l,224,442.41,2314.602,1024,26.32,2.59,18.54
maxvit_tiny_tf_384,384,436.14,586.955,256,30.98,17.53,123.42
convnextv2_large,224,429.25,1192.776,512,197.96,34.4,43.13
flexivit_large,240,428.81,2387.973,1024,304.36,70.99,75.39
swinv2_cr_tiny_384,384,428.08,598.01,256,28.33,15.34,161.01
convnext_large,288,426.07,1802.496,768,197.77,56.87,71.29
caformer_b36,224,425.78,1803.715,768,98.75,23.22,67.3
maxxvitv2_rmlp_large_rw_224,224,424.59,1808.787,768,215.42,44.14,87.15
swinv2_cr_large_224,224,423.38,1813.956,768,196.68,35.1,78.42
eca_nfnet_l2,384,418.47,2446.978,1024,56.72,30.05,68.28
volo_d4_224,224,416.41,2459.078,1024,192.96,44.34,80.22
tresnet_l,448,415.17,2466.431,1024,55.99,43.59,47.56
efficientnetv2_l,384,414.62,2469.714,1024,118.52,36.1,101.16
davit_huge,224,411.12,1245.376,512,348.92,61.23,81.32
tf_efficientnetv2_l,384,407.96,1882.523,768,118.52,36.1,101.16
regnetz_d8_evos,320,406.94,1887.237,768,23.46,7.03,38.92
convformer_b36,224,403.51,1903.287,768,99.88,22.69,56.06
tf_efficientnet_b5,456,402.73,953.473,384,30.39,10.46,98.86
regnety_640,224,386.45,1987.327,768,281.38,64.16,42.5
regnety_160,384,386.34,993.924,384,83.59,46.87,67.67
eca_nfnet_l3,352,384.03,2666.457,1024,72.04,32.57,73.12
vit_large_patch16_siglip_gap_256,256,379.1,2701.121,1024,303.36,80.8,88.34
vit_large_patch16_siglip_256,256,376.67,2718.518,1024,315.96,81.34,88.88
ecaresnet269d,320,375.5,2726.992,1024,102.09,41.53,83.69
vit_large_r50_s32_384,384,375.05,2730.266,1024,329.09,57.43,76.52
efficientvit_l3,320,370.4,1036.706,384,246.04,56.32,79.34
maxvit_large_tf_224,224,370.36,1036.83,384,211.79,43.68,127.35
inception_next_base,384,365.73,1399.913,512,86.67,43.64,75.48
vit_base_patch8_224,224,363.97,2110.05,768,86.58,78.22,161.69
nasnetalarge,331,362.83,1058.339,384,88.75,23.89,90.56
resnetrs350,288,359.88,2845.389,1024,163.96,43.67,87.09
vit_large_patch14_224,224,358.73,2854.473,1024,304.2,81.08,88.79
swinv2_base_window16_256,256,358.47,1071.215,384,87.92,22.02,84.71
swinv2_base_window12to16_192to256,256,358.3,1071.718,384,87.92,22.02,84.71
vit_large_patch14_clip_224,224,358.26,2858.236,1024,304.2,81.08,88.79
xcit_small_24_p8_224,224,346.37,2956.368,1024,47.63,35.81,90.78
repvgg_d2se,320,345.41,2964.608,1024,133.33,74.57,46.82
convnext_large_mlp,320,344.64,1485.577,512,200.13,70.21,88.02
volo_d2_384,384,336.68,3041.406,1024,58.87,46.17,184.51
resnetv2_101x3_bit,224,333.65,2301.786,768,387.93,71.23,48.7
vit_base_r50_s16_384,384,328.62,3116.05,1024,98.95,67.43,135.03
vit_large_patch14_clip_quickgelu_224,224,325.79,3143.121,1024,303.97,81.08,88.79
xcit_medium_24_p16_384,384,316.51,3235.266,1024,84.4,47.39,91.64
coat_lite_medium_384,384,316.02,1620.128,512,44.57,28.73,116.7
nfnet_f2,352,310.8,3294.734,1024,193.78,63.22,79.06
vit_large_patch14_xp_224,224,310.69,3295.839,1024,304.06,81.01,88.79
ecaresnet269d,352,310.52,3297.627,1024,102.09,50.25,101.25
resnext101_32x32d,224,302.59,1692.067,512,468.53,87.29,91.12
resnetrs270,352,302.17,3388.822,1024,129.86,51.13,105.48
resnet50x16_clip_gap,384,298.84,1713.264,512,136.2,70.32,100.64
efficientnetv2_xl,384,293.04,3494.359,1024,208.12,52.81,139.2
vitamin_large2_224,224,292.42,1750.92,512,333.58,75.05,112.83
vitamin_large_224,224,291.87,1754.211,512,333.32,75.05,112.83
tf_efficientnetv2_xl,384,290.01,3530.88,1024,208.12,52.81,139.2
cait_xxs24_384,384,288.21,3553.005,1024,12.03,9.63,122.66
nfnet_f3,320,287.11,3566.606,1024,254.92,68.77,83.93
resnet50x16_clip,384,286.91,1784.524,512,167.33,74.9,103.54
coatnet_4_224,224,285.69,896.079,256,275.43,62.48,129.26
caformer_s36,384,276.44,1852.088,512,39.3,26.08,150.33
maxvit_small_tf_384,384,276.03,695.573,192,69.02,35.87,183.65
vit_base_patch16_siglip_gap_512,512,275.47,1858.601,512,86.43,107.0,246.15
tresnet_xl,448,273.68,2806.19,768,78.44,60.77,61.31
vit_base_patch16_siglip_512,512,272.77,1877.039,512,93.52,108.22,247.74
volo_d5_224,224,270.51,3785.389,1024,295.46,72.4,118.11
convnext_xlarge,288,269.09,1902.689,512,350.2,100.8,95.05
vit_so400m_patch14_siglip_gap_224,224,268.96,3807.3,1024,412.44,109.57,106.13
vit_so400m_patch14_siglip_224,224,267.66,3825.774,1024,427.68,110.26,106.73
dm_nfnet_f2,352,265.61,2891.431,768,193.78,63.22,79.06
xcit_tiny_24_p8_384,384,264.93,3865.202,1024,12.11,27.05,132.95
convformer_s36,384,264.39,1936.533,512,40.01,22.54,89.62
efficientnetv2_l,480,263.76,1941.117,512,118.52,56.4,157.99
eva02_large_patch14_224,224,261.32,3918.509,1024,303.27,81.15,97.2
convnextv2_large,288,261.02,1471.122,384,197.96,56.87,71.29
swinv2_cr_small_384,384,260.72,981.882,256,49.7,29.7,298.03
efficientvit_l3,384,260.43,982.964,256,246.04,81.08,114.02
tf_efficientnetv2_l,480,260.17,1967.914,512,118.52,56.4,157.99
eva02_large_patch14_clip_224,224,258.03,3968.464,1024,304.11,81.18,97.2
convnextv2_base,384,250.4,1022.344,256,88.72,45.21,84.49
mvitv2_large,224,250.34,2045.21,512,217.99,43.87,112.02
mvitv2_large_cls,224,249.73,2050.191,512,234.58,42.17,111.69
coatnet_rmlp_2_rw_384,384,248.98,771.136,192,73.88,47.69,209.43
seresnextaa201d_32x8d,320,247.3,3105.549,768,149.39,70.22,138.71
resnetrs420,320,246.64,4151.712,1024,191.89,64.2,126.56
dm_nfnet_f3,320,246.57,4153.037,1024,254.92,68.77,83.93
resmlp_big_24_224,224,242.5,4222.699,1024,129.14,100.23,87.31
convnext_large_mlp,384,240.32,1597.863,384,200.13,101.11,126.74
convnext_large,384,240.31,1597.914,384,197.77,101.1,126.74
eca_nfnet_l3,448,237.13,2159.158,512,72.04,52.55,118.4
xcit_medium_24_p8_224,224,236.47,3247.69,768,84.32,63.53,121.23
regnety_320,384,235.74,1628.925,384,145.05,95.0,88.87
swin_base_patch4_window12_384,384,233.69,1095.46,256,87.9,47.19,134.78
vitamin_large2_256,256,225.68,1701.529,384,333.64,99.0,154.99
vitamin_large_256,256,225.58,1702.259,384,333.38,99.0,154.99
xcit_small_12_p8_384,384,224.77,1708.428,384,26.21,54.92,138.29
maxxvitv2_rmlp_base_rw_384,384,220.85,1738.714,384,116.09,72.98,213.74
swinv2_large_window12to16_192to256,256,218.82,1169.912,256,196.74,47.81,121.53
hiera_huge_224,224,211.71,2418.344,512,672.78,124.85,150.95
efficientnet_b6,528,207.93,1231.18,256,43.04,19.4,167.39
maxvit_xlarge_tf_224,224,203.01,1261.038,256,506.99,97.52,191.04
resnetrs350,384,201.49,5082.03,1024,163.96,77.59,154.74
cait_xs24_384,384,201.32,3814.854,768,26.67,19.28,183.98
tf_efficientnet_b6,528,201.04,955.016,192,43.04,19.4,167.39
caformer_m36,384,199.07,1928.91,384,56.2,42.11,196.35
regnety_1280,224,196.19,2609.667,512,644.81,127.66,71.58
rdnet_large,384,195.92,979.983,192,186.27,102.09,137.13
eva02_base_patch14_448,448,194.43,2633.353,512,87.12,107.11,259.14
maxvit_rmlp_base_rw_384,384,193.23,1324.858,256,116.14,70.97,318.95
cait_xxs36_384,384,193.04,5304.502,1024,17.37,14.35,183.7
focalnet_huge_fl3,224,191.24,2007.947,384,745.28,118.26,104.8
maxvit_tiny_tf_512,512,190.87,670.587,128,31.05,33.49,257.59
convformer_m36,384,190.78,2012.789,384,57.05,37.87,123.56
vit_huge_patch14_gap_224,224,189.67,5398.887,1024,630.76,166.73,138.74
swinv2_cr_base_384,384,186.38,1373.532,256,87.88,50.57,333.68
vit_huge_patch14_224,224,183.75,5572.762,1024,630.76,167.4,139.41
vit_huge_patch14_clip_224,224,183.71,5574.109,1024,632.05,167.4,139.41
sam2_hiera_tiny,896,182.75,350.196,64,26.85,99.86,384.63
vit_base_patch14_dinov2,518,182.34,2807.893,512,86.58,151.71,397.58
vit_base_patch14_reg4_dinov2,518,181.77,2816.806,512,86.58,152.25,399.53
vitamin_xlarge_256,256,181.48,1410.575,256,436.06,130.13,177.37
swinv2_cr_huge_224,224,179.7,2136.905,384,657.83,115.97,121.08
xcit_large_24_p16_384,384,179.28,5711.606,1024,189.1,105.35,137.17
deit3_huge_patch14_224,224,177.3,5775.592,1024,632.13,167.4,139.41
convnextv2_huge,224,176.11,1453.663,256,660.29,115.0,79.07
seresnextaa201d_32x8d,384,170.89,2996.033,512,149.39,101.11,199.72
volo_d3_448,448,169.67,4526.299,768,86.63,96.33,446.83
vit_huge_patch14_clip_quickgelu_224,224,169.19,6052.476,1024,632.08,167.4,139.41
maxvit_base_tf_384,384,167.18,1148.458,192,119.65,73.8,332.9
efficientnetv2_xl,512,165.5,3093.649,512,208.12,93.85,247.32
tf_efficientnetv2_xl,512,163.76,3126.446,512,208.12,93.85,247.32
vit_huge_patch14_xp_224,224,163.24,6273.085,1024,631.8,167.3,139.41
nfnet_f3,416,162.65,4721.794,768,254.92,115.58,141.78
vit_large_patch16_siglip_gap_384,384,159.79,4806.343,768,303.69,190.85,269.55
vit_large_patch16_384,384,159.11,4826.795,768,304.72,191.21,270.24
vit_large_patch16_siglip_384,384,158.55,4843.885,768,316.28,192.07,270.75
eva_large_patch14_336,336,158.23,4853.789,768,304.53,191.1,270.24
vit_large_patch14_clip_336,336,157.81,4866.487,768,304.53,191.11,270.24
vit_giant_patch16_gap_224,224,155.53,6583.864,1024,1011.37,202.46,139.26
cait_s24_384,384,155.15,3299.991,512,47.06,32.17,245.31
nfnet_f4,384,154.55,4969.28,768,316.07,122.14,147.57
coatnet_5_224,224,153.97,1246.972,192,687.47,145.49,194.24
sam2_hiera_small,896,153.37,417.27,64,33.95,123.99,442.63
convnext_xxlarge,256,153.06,2508.801,384,846.47,198.09,124.45
deit3_large_patch16_384,384,152.95,6694.836,1024,304.76,191.21,270.24
convnext_xlarge,384,151.94,1684.898,256,350.2,179.2,168.99
davit_giant,224,151.13,2540.897,384,1406.47,192.92,153.06
beit_large_patch16_384,384,147.11,6960.871,1024,305.0,191.21,270.24
convnextv2_large,384,147.09,1305.273,192,197.96,101.1,126.74
resnetv2_50x3_bit,448,146.43,1311.231,192,217.32,145.7,133.37
resnetrs420,416,145.54,5277.024,768,191.89,108.45,213.79
resnetv2_152x4_bit,224,143.9,3558.113,512,936.53,186.9,90.22
vit_large_patch14_clip_quickgelu_336,336,143.52,5351.207,768,304.29,191.11,270.24
caformer_b36,384,142.98,1790.384,256,98.75,72.33,261.79
dm_nfnet_f3,416,140.7,3638.998,512,254.92,115.58,141.78
convformer_b36,384,137.79,1857.845,256,99.88,66.67,164.75
swin_large_patch4_window12_384,384,136.8,935.679,128,196.74,104.08,202.16
dm_nfnet_f4,384,133.79,5740.467,768,316.07,122.14,147.57
xcit_large_24_p8_224,224,132.99,3849.902,512,188.93,141.23,181.56
regnety_640,384,131.5,1946.681,256,281.38,188.47,124.83
efficientnet_b7,600,129.75,1479.733,192,66.35,38.33,289.94
tf_efficientnet_b7,600,126.11,1522.49,192,66.35,38.33,289.94
vitamin_large2_336,336,125.61,1528.5,192,333.83,175.72,307.47
vitamin_large_336,336,125.56,1529.162,192,333.57,175.72,307.47
focalnet_huge_fl4,224,122.25,3141.078,384,686.46,118.9,113.34
eva_giant_patch14_224,224,119.44,8572.982,1024,1012.56,267.18,192.64
eva_giant_patch14_clip_224,224,119.17,8592.945,1024,1012.59,267.18,192.64
xcit_small_24_p8_384,384,117.9,3256.878,384,47.63,105.24,265.91
vit_giant_patch14_224,224,116.48,8790.872,1024,1012.61,267.18,192.64
maxvit_large_tf_384,384,116.47,1098.959,128,212.03,132.55,445.84
vit_giant_patch14_clip_224,224,116.42,8795.95,1024,1012.65,267.18,192.64
eva02_large_patch14_clip_336,336,113.52,9020.764,1024,304.43,191.34,289.13
maxvit_small_tf_512,512,112.98,849.727,96,69.13,67.26,383.77
swinv2_cr_large_384,384,112.26,1140.169,128,196.68,108.96,404.96
nfnet_f5,416,110.43,6954.526,768,377.21,170.71,204.56
mvitv2_huge_cls,224,108.91,3525.951,384,694.8,120.67,243.63
convnextv2_huge,288,108.51,1769.473,192,660.29,190.1,130.7
cait_s36_384,384,103.84,4930.739,512,68.37,47.99,367.4
resnet50x64_clip_gap,448,101.87,3769.426,384,365.03,253.96,233.22
vitamin_xlarge_336,336,101.39,1262.381,128,436.06,230.18,347.33
resnet50x64_clip,448,98.61,3894.121,384,420.38,265.02,239.13
davit_base_fl,768,98.42,1300.504,128,90.37,190.32,530.15
volo_d4_448,448,96.66,5296.823,512,193.41,197.13,527.35
swinv2_base_window12to24_192to384,384,96.52,663.07,64,87.92,55.25,280.36
dm_nfnet_f5,416,95.55,5358.646,512,377.21,170.71,204.56
focalnet_large_fl3,384,93.71,2731.882,256,239.13,105.06,168.04
focalnet_large_fl4,384,91.08,2810.743,256,239.32,105.2,181.78
vitamin_large_384,384,88.59,2167.247,192,333.71,234.44,440.16
vitamin_large2_384,384,88.51,2169.148,192,333.97,234.44,440.16
vit_so400m_patch14_siglip_gap_384,384,87.19,5872.468,512,412.99,333.46,451.19
nfnet_f4,512,86.87,5893.611,512,316.07,216.26,262.26
vit_so400m_patch14_siglip_384,384,86.75,5902.326,512,428.23,335.4,452.89
efficientnet_b8,672,86.55,1478.838,128,87.41,63.48,442.89
tf_efficientnet_b8,672,84.44,1515.913,128,87.41,63.48,442.89
nfnet_f6,448,82.01,6243.159,512,438.36,229.7,273.62
sam2_hiera_base_plus,896,81.14,788.789,64,68.68,227.48,828.88
xcit_medium_24_p8_384,384,80.95,3162.43,256,84.32,186.67,354.73
vit_huge_patch14_clip_336,336,79.58,6433.526,512,632.46,390.97,407.54
convmixer_1536_20,224,76.93,13310.571,1024,51.63,48.68,33.03
maxvit_base_tf_512,512,76.16,1260.446,96,119.88,138.02,703.99
beit_large_patch16_512,512,75.77,6757.452,512,305.67,362.24,656.39
vitamin_xlarge_384,384,75.69,1691.101,128,436.06,306.38,493.46
dm_nfnet_f4,512,75.3,5099.335,384,316.07,216.26,262.26
dm_nfnet_f6,448,71.01,7210.621,512,438.36,229.7,273.62
vit_gigantic_patch14_224,224,66.82,7662.227,512,1844.44,483.95,275.37
regnety_1280,384,66.8,1916.204,128,644.81,374.99,210.2
vit_gigantic_patch14_clip_224,224,66.79,7665.981,512,1844.91,483.96,275.37
focalnet_xlarge_fl3,384,66.17,2901.53,192,408.79,185.61,223.99
maxvit_xlarge_tf_384,384,64.84,1480.483,96,475.32,292.78,668.76
nfnet_f5,544,64.64,5940.195,384,377.21,290.97,349.71
focalnet_xlarge_fl4,384,63.87,3005.958,192,409.03,185.79,242.31
volo_d5_448,448,63.63,6034.748,384,295.91,315.06,737.92
nfnet_f7,480,62.7,8166.338,512,499.5,300.08,355.86
vit_huge_patch14_clip_378,378,62.12,8241.55,512,632.68,503.79,572.79
vit_so400m_patch14_siglip_gap_448,448,61.76,6217.473,384,413.33,487.18,764.26
eva02_large_patch14_448,448,61.54,8319.155,512,305.08,362.33,689.95
convnextv2_huge,384,61.34,1565.099,96,660.29,337.96,232.35
swinv2_large_window12to24_192to384,384,61.15,785.007,48,196.74,116.15,407.83
vit_large_patch14_dinov2,518,58.81,6529.805,384,304.37,507.15,1058.82
vit_large_patch14_reg4_dinov2,518,58.63,6549.274,384,304.37,508.9,1064.02
vit_huge_patch14_clip_quickgelu_378,378,57.38,6692.182,384,632.68,503.79,572.79
vit_huge_patch16_gap_448,448,57.22,8947.785,512,631.67,544.7,636.83
dm_nfnet_f5,544,55.97,6861.132,384,377.21,290.97,349.71
tf_efficientnet_l2,475,54.83,1750.848,96,480.31,172.11,609.89
maxvit_large_tf_512,512,52.22,1225.553,64,212.33,244.75,942.15
eva_giant_patch14_336,336,51.89,9866.498,512,1013.01,620.64,550.67
swinv2_cr_giant_224,224,51.82,3705.327,192,2598.76,483.85,309.15
nfnet_f6,576,49.54,7751.499,384,438.36,378.69,452.2
volo_d5_512,512,48.79,5246.809,256,296.09,425.09,1105.37
swinv2_cr_huge_384,384,48.61,1316.667,64,657.94,352.04,583.18
xcit_large_24_p8_384,384,45.65,4205.892,192,188.93,415.0,531.82
dm_nfnet_f6,576,42.93,5962.777,256,438.36,378.69,452.2
nfnet_f7,608,39.93,6411.695,256,499.5,480.39,570.85
davit_huge_fl,768,34.49,1391.493,48,360.64,744.84,1060.3
convnextv2_huge,512,34.39,1395.744,48,660.29,600.81,413.07
cait_m36_384,384,33.77,7580.428,256,271.22,173.11,734.81
resnetv2_152x4_bit,480,32.13,2987.397,96,936.53,844.84,414.26
regnety_2560,384,30.14,3185.104,96,1282.6,747.83,296.49
maxvit_xlarge_tf_512,512,29.4,1632.708,48,475.77,534.14,1413.22
sam2_hiera_large,1024,24.86,1930.745,48,212.15,907.48,2190.34
samvit_base_patch16,1024,23.82,671.744,16,89.67,486.43,1343.27
efficientnet_l2,800,19.37,2478.227,48,480.31,479.12,1707.39
tf_efficientnet_l2,800,19.15,2506.394,48,480.31,479.12,1707.39
vit_giant_patch14_dinov2,518,17.69,7234.942,128,1136.48,1784.2,2757.89
vit_giant_patch14_reg4_dinov2,518,17.67,10868.501,192,1136.48,1790.08,2771.21
eva_giant_patch14_560,560,16.99,11301.565,192,1014.45,1906.76,2577.17
swinv2_cr_giant_384,384,14.96,2138.945,32,2598.76,1450.71,1394.86
cait_m48_448,448,14.26,8978.396,128,356.46,329.41,1708.23
samvit_large_patch16,1024,10.89,1101.662,12,308.28,1493.86,2553.78
vit_so400m_patch14_siglip_gap_896,896,10.82,8873.224,96,416.87,2731.49,8492.88
samvit_huge_patch16,1024,6.7,1194.478,8,637.03,2982.23,3428.16