model,infer_img_size,infer_samples_per_sec,infer_step_time,infer_batch_size,param_count,infer_gmacs,infer_macts
test_efficientnet,160,188911.31,1.347,256,0.36,0.06,0.55
test_byobnet,160,178532.03,1.426,256,0.46,0.03,0.43
test_vit,160,155871.09,1.635,256,0.37,0.04,0.48
lcnet_035,224,97850.77,2.608,256,1.64,0.03,1.04
tf_mobilenetv3_small_minimal_100,224,93614.74,2.726,256,2.04,0.06,1.41
lcnet_050,224,86660.68,2.946,256,1.88,0.05,1.26
mobilenetv3_small_050,224,83744.91,3.049,256,1.59,0.03,0.92
tinynet_e,106,83059.88,3.074,256,2.04,0.03,0.69
mobilenetv3_small_075,224,82620.81,3.091,256,2.04,0.05,1.3
mobilenetv3_small_100,224,79752.52,3.202,256,2.54,0.06,1.42
mobilenetv4_conv_small,224,74963.65,3.407,256,3.77,0.19,1.97
tf_mobilenetv3_small_075,224,68793.66,3.712,256,2.04,0.05,1.3
tf_mobilenetv3_small_100,224,63377.08,4.031,256,2.54,0.06,1.42
tinynet_d,152,62921.33,4.061,256,2.34,0.05,1.42
lcnet_075,224,59549.33,4.29,256,2.36,0.1,1.99
mnasnet_small,224,58424.52,4.373,256,2.03,0.07,2.16
levit_conv_128s,224,58296.58,4.383,256,7.78,0.31,1.88
mobilenetv4_conv_small,256,54925.26,4.652,256,3.77,0.25,2.57
levit_128s,224,53157.92,4.807,256,7.78,0.31,1.88
resnet10t,176,52732.02,4.846,256,5.44,0.7,1.51
ghostnet_050,224,52648.58,4.854,256,2.59,0.05,1.77
regnetx_002,224,50885.47,5.023,256,2.68,0.2,2.16
repghostnet_050,224,49844.85,5.127,256,2.31,0.05,2.02
resnet18,160,49720.41,5.14,256,11.69,0.93,1.27
mobilenetv2_035,224,47284.89,5.404,256,1.68,0.07,2.86
regnety_002,224,47175.78,5.418,256,3.16,0.2,2.17
lcnet_100,224,46545.58,5.491,256,2.95,0.16,2.52
mnasnet_050,224,45318.19,5.64,256,2.22,0.11,3.07
repghostnet_058,224,44344.16,5.764,256,2.55,0.07,2.59
levit_conv_128,224,43034.18,5.94,256,9.21,0.41,2.71
vit_tiny_r_s16_p8_224,224,40905.75,6.25,256,6.34,0.44,2.06
efficientvit_b0,224,40487.21,6.315,256,3.41,0.1,2.87
regnetx_004,224,40146.51,6.368,256,5.16,0.4,3.14
levit_128,224,39948.51,6.4,256,9.21,0.41,2.71
regnetx_004_tv,224,38547.28,6.633,256,5.5,0.42,3.17
repghostnet_080,224,37919.74,6.742,256,3.28,0.1,3.22
levit_conv_192,224,37779.54,6.768,256,10.95,0.66,3.2
semnasnet_050,224,37506.25,6.817,256,2.08,0.11,3.44
hgnetv2_b0,224,37356.26,6.845,256,6.0,0.33,2.12
mobilenetv2_050,224,37215.01,6.87,256,1.97,0.1,3.64
gernet_s,224,36311.59,7.041,256,8.17,0.75,2.65
efficientvit_m2,224,36122.02,7.079,256,4.19,0.2,1.47
pit_ti_224,224,36065.64,7.089,256,4.85,0.7,6.19
pit_ti_distilled_224,224,35852.04,7.132,256,5.1,0.71,6.23
efficientvit_m1,224,34221.22,7.472,256,2.98,0.17,1.33
resnet10t,224,33377.1,7.661,256,5.44,1.1,2.43
vit_small_patch32_224,224,32872.0,7.779,256,22.88,1.15,2.5
efficientvit_m3,224,32739.6,7.81,256,6.9,0.27,1.62
mixer_s32_224,224,32505.37,7.867,256,19.1,1.0,2.28
levit_192,224,31250.48,8.183,256,10.95,0.66,3.2
edgenext_xx_small,256,31029.41,8.242,256,1.33,0.26,3.33
xcit_nano_12_p16_224,224,30599.92,8.357,256,3.05,0.56,4.17
tinynet_c,184,30555.73,8.369,256,2.46,0.11,2.87
nf_regnet_b0,192,30346.81,8.427,256,8.76,0.37,3.15
efficientvit_m0,224,30313.3,8.437,256,2.35,0.08,0.91
lcnet_150,224,30064.96,8.506,256,4.5,0.34,3.79
resnet34,160,29702.78,8.608,256,21.8,1.87,1.91
repghostnet_100,224,29445.74,8.685,256,4.07,0.15,3.98
efficientvit_m4,224,29026.74,8.81,256,8.8,0.3,1.7
cs3darknet_focus_s,256,28372.65,9.014,256,3.27,0.69,2.7
regnety_004,224,27981.57,9.139,256,4.34,0.41,3.89
tf_mobilenetv3_large_minimal_100,224,27961.28,9.147,256,3.92,0.22,4.4
mobilenetv3_large_075,224,27774.4,9.208,256,3.99,0.16,4.0
resnet14t,176,27760.24,9.213,256,10.08,1.07,3.61
mnasnet_075,224,27169.47,9.414,256,3.17,0.23,4.77
convnext_atto,224,27156.87,9.418,256,3.7,0.55,3.81
hgnetv2_b1,224,27032.22,9.462,256,6.34,0.49,2.73
cs3darknet_s,256,26830.41,9.533,256,3.28,0.72,2.97
regnety_006,224,26488.55,9.656,256,6.06,0.61,4.33
efficientvit_m5,224,26226.6,9.753,256,12.47,0.53,2.41
resnet18,224,25948.79,9.857,256,11.69,1.82,2.48
tf_efficientnetv2_b0,192,25767.89,9.926,256,7.14,0.54,3.51
tf_mobilenetv3_large_075,224,25675.44,9.962,256,3.99,0.16,4.0
ghostnet_100,224,25628.25,9.98,256,5.18,0.15,3.55
levit_conv_256,224,25595.46,9.993,256,18.89,1.13,4.23
convnextv2_atto,224,25550.99,10.011,256,3.71,0.55,3.81
convnext_atto_ols,224,25437.32,10.056,256,3.7,0.58,4.11
repghostnet_111,224,25146.64,10.171,256,4.54,0.18,4.38
mobilenetv3_rw,224,24721.37,10.347,256,5.48,0.23,4.41
mobilenetv3_large_100,224,24474.85,10.451,256,5.48,0.23,4.41
deit_tiny_patch16_224,224,24312.15,10.521,256,5.72,1.26,5.97
vit_tiny_patch16_224,224,24266.11,10.54,256,5.72,1.26,5.97
repvgg_a0,224,24061.2,10.63,256,9.11,1.52,3.59
seresnet18,224,24041.64,10.639,256,11.78,1.82,2.49
legacy_seresnet18,224,24022.17,10.648,256,11.78,1.82,2.49
hardcorenas_b,224,23830.5,10.734,256,5.18,0.26,5.09
deit_tiny_distilled_patch16_224,224,23769.88,10.761,256,5.91,1.27,6.01
mnasnet_100,224,23629.36,10.825,256,4.38,0.33,5.46
edgenext_xx_small,288,23592.08,10.842,256,1.33,0.33,4.21
regnetx_008,224,23475.66,10.896,256,7.26,0.81,5.15
hardcorenas_c,224,23258.07,10.998,256,5.52,0.28,5.01
mobilenetv1_100,224,22998.4,11.123,256,4.23,0.58,5.04
mobilenet_edgetpu_v2_xs,224,22908.62,11.166,256,4.46,0.7,4.8
semnasnet_075,224,22722.94,11.257,256,2.91,0.23,5.54
levit_256,224,22644.71,11.296,256,18.89,1.13,4.23
mobilenetv1_100h,224,22625.21,11.306,256,5.28,0.63,5.09
tf_mobilenetv3_large_100,224,22476.69,11.381,256,5.48,0.23,4.41
convnext_femto,224,22282.51,11.48,256,5.22,0.79,4.57
resnet18d,224,22111.11,11.569,256,11.71,2.06,3.29
levit_conv_256d,224,22077.96,11.586,256,26.21,1.4,4.93
spnasnet_100,224,22077.72,11.586,256,4.42,0.35,6.03
mobilenetv4_hybrid_medium_075,224,22065.84,11.593,256,7.31,0.66,5.65
dla46_c,224,21982.6,11.636,256,1.3,0.58,4.5
vit_medium_patch32_clip_224,224,21846.57,11.709,256,39.69,2.0,3.34
mobilenetv2_075,224,21759.16,11.757,256,2.64,0.22,5.86
hardcorenas_a,224,21729.5,11.773,256,5.26,0.23,4.38
mobilenetv4_conv_medium,224,21722.12,11.776,256,9.72,0.84,5.8
hgnetv2_b0,288,21721.77,11.777,256,6.0,0.54,3.51
regnety_008,224,21671.84,11.803,256,6.26,0.81,5.25
hardcorenas_d,224,21580.66,11.853,256,7.5,0.3,4.93
convnextv2_femto,224,21531.01,11.881,256,5.23,0.79,4.57
convnext_femto_ols,224,21072.2,12.14,256,5.23,0.82,4.87
repghostnet_130,224,21064.38,12.144,256,5.48,0.25,5.24
mobilenet_edgetpu_100,224,21052.52,12.151,256,4.09,1.0,5.75
pit_xs_224,224,20835.05,12.278,256,10.62,1.4,7.71
efficientformerv2_s0,224,20726.97,12.342,256,3.6,0.41,5.3
ese_vovnet19b_slim_dw,224,20707.54,12.354,256,1.9,0.4,5.28
pit_xs_distilled_224,224,20528.33,12.461,256,11.0,1.41,7.76
regnety_008_tv,224,20329.15,12.583,256,6.43,0.84,5.42
fbnetc_100,224,20140.52,12.702,256,5.57,0.4,6.51
vit_xsmall_patch16_clip_224,224,19971.81,12.809,256,8.28,1.79,6.65
tf_efficientnetv2_b1,192,19947.06,12.825,256,8.14,0.76,4.59
levit_256d,224,19733.29,12.964,256,26.21,1.4,4.93
semnasnet_100,224,19697.19,12.988,256,3.89,0.32,6.23
ese_vovnet19b_slim,224,19687.27,12.994,256,3.17,1.69,3.52
ghostnet_130,224,19375.99,13.203,256,7.36,0.24,4.6
regnetx_006,224,19266.74,13.277,256,6.2,0.61,3.98
mobilenetv2_100,224,18995.91,13.468,256,3.5,0.31,6.68
tinynet_b,188,18989.86,13.472,256,3.73,0.21,4.44
hrnet_w18_small,224,18828.83,13.587,256,13.19,1.61,5.72
repghostnet_150,224,18415.28,13.892,256,6.58,0.32,6.0
efficientnet_lite0,224,17985.67,14.225,256,4.65,0.4,6.74
skresnet18,224,17812.46,14.363,256,11.96,1.82,3.24
resnetblur18,224,17704.62,14.451,256,11.69,2.34,3.39
tf_efficientnet_lite0,224,17685.01,14.466,256,4.65,0.4,6.74
gmlp_ti16_224,224,17642.28,14.501,256,5.87,1.34,7.55
mobilevit_xxs,256,17607.31,14.53,256,1.27,0.42,8.34
edgenext_x_small,256,17443.49,14.667,256,2.34,0.54,5.93
resnet14t,224,17428.63,14.68,256,10.08,1.69,5.8
hardcorenas_e,224,17401.15,14.702,256,8.07,0.35,5.65
tf_efficientnetv2_b0,224,17323.92,14.768,256,7.14,0.73,4.77
mobilenetv4_hybrid_medium,224,17322.11,14.769,256,11.07,0.98,6.84
repvit_m1,224,17266.08,14.817,256,5.49,0.83,7.45
pvt_v2_b0,224,17238.77,14.841,256,3.67,0.57,7.99
xcit_tiny_12_p16_224,224,17236.25,14.843,256,6.72,1.24,6.29
mobilenetv1_125,224,17195.51,14.879,256,6.27,0.89,6.3
hardcorenas_f,224,17171.48,14.9,256,8.2,0.35,5.57
hgnetv2_b2,224,17062.45,14.995,256,11.22,1.15,4.12
repvgg_a1,224,17061.07,14.996,256,14.09,2.64,4.74
nf_regnet_b0,256,16940.55,15.102,256,8.76,0.64,5.58
mobilenetv1_100,256,16680.51,15.338,256,4.23,0.76,6.59
mobilenetv1_100h,256,16453.67,15.55,256,5.28,0.82,6.65
resnet50,160,16423.72,15.578,256,25.56,2.1,5.67
repvit_m0_9,224,16304.29,15.692,256,5.49,0.83,7.45
hgnetv2_b1,288,16122.96,15.869,256,6.34,0.82,4.51
mobilenetv4_conv_medium,256,16108.18,15.883,256,9.72,1.1,7.58
crossvit_tiny_240,240,16046.42,15.945,256,7.01,1.57,9.08
convnext_pico,224,16034.63,15.957,256,9.05,1.37,6.1
convnext_atto,288,15915.6,16.076,256,3.7,0.91,6.3
gernet_m,224,15764.43,16.23,256,21.14,3.02,5.24
vit_betwixt_patch32_clip_224,224,15727.09,16.268,256,61.41,3.09,4.17
efficientvit_b1,224,15699.71,16.296,256,9.1,0.53,7.25
resnet18,288,15598.12,16.402,256,11.69,3.01,4.11
crossvit_9_240,240,15301.84,16.72,256,8.55,1.85,9.52
resnet50d,160,15291.83,16.732,256,25.58,2.22,6.08
resnet34,224,15291.59,16.732,256,21.8,3.67,3.74
convnext_pico_ols,224,15194.28,16.84,256,9.06,1.43,6.5
tinynet_a,192,15162.99,16.873,256,6.19,0.35,5.41
mobilenet_edgetpu_v2_s,224,15100.58,16.944,256,5.99,1.21,6.6
mnasnet_140,224,15010.98,17.045,256,7.12,0.6,7.71
convnextv2_pico,224,14927.0,17.141,256,9.07,1.37,6.1
levit_conv_384,224,14906.88,17.164,256,39.13,2.36,6.26
convnext_atto_ols,288,14901.48,17.17,256,3.7,0.96,6.8
fbnetv3_b,224,14619.25,17.502,256,8.6,0.42,6.97
convnextv2_atto,288,14583.28,17.546,256,3.71,0.91,6.3
regnetz_005,224,14395.17,17.774,256,7.12,0.52,5.86
mobilenetv4_conv_blur_medium,224,14300.06,17.893,256,9.72,1.22,8.58
seresnet18,288,14286.39,17.91,256,11.78,3.01,4.11
efficientformerv2_s1,224,14252.25,17.953,256,6.19,0.67,7.66
seresnet34,224,14239.31,17.969,256,21.96,3.67,3.74
mobilevitv2_050,256,14216.39,17.998,256,1.37,0.48,8.04
legacy_seresnet34,224,14186.47,18.036,256,21.96,3.67,3.74
mobilenetv2_110d,224,14184.27,18.039,256,4.52,0.45,8.71
crossvit_9_dagger_240,240,14117.97,18.123,256,8.78,1.99,9.97
efficientformer_l1,224,14110.06,18.133,256,12.29,1.3,5.53
rexnetr_100,224,14090.03,18.159,256,4.88,0.43,7.72
cs3darknet_focus_m,256,14044.33,18.219,256,9.3,1.98,4.89
resnet34d,224,13891.67,18.42,256,21.82,3.91,4.54
eva02_tiny_patch14_224,224,13809.61,18.529,256,5.5,1.7,9.14
tf_efficientnetv2_b2,208,13703.38,18.673,256,10.1,1.06,6.0
resnext50_32x4d,160,13655.32,18.739,256,25.03,2.17,7.35
vit_tiny_r_s16_p8_384,384,13521.23,18.924,256,6.36,1.34,6.49
dla34,224,13514.0,18.934,256,15.74,3.07,5.02
cs3darknet_m,256,13508.36,18.942,256,9.31,2.08,5.28
repghostnet_200,224,13466.37,19.001,256,9.8,0.54,7.96
selecsls42,224,13463.14,19.006,256,30.35,2.94,4.62
rexnet_100,224,13432.99,19.048,256,4.8,0.41,7.44
ghostnetv2_100,224,13426.18,19.057,256,6.16,0.18,4.55
selecsls42b,224,13399.31,19.096,256,32.46,2.98,4.62
resnet18d,288,13378.17,19.127,256,11.71,3.41,5.43
seresnet50,160,13373.47,19.133,256,28.09,2.1,5.69
repvgg_b0,224,13287.11,19.257,256,15.82,3.41,6.15
hgnetv2_b3,224,13275.88,19.274,256,16.29,1.78,5.07
resnet26,224,13255.66,19.304,256,16.0,2.36,7.35
convnext_femto,288,13199.45,19.386,256,5.22,1.3,7.56
edgenext_x_small,288,13195.3,19.392,256,2.34,0.68,7.5
resnet50,176,13189.38,19.401,256,25.56,2.62,6.92
nf_regnet_b2,240,13112.1,19.515,256,14.31,0.97,7.23
repvit_m1_0,224,13097.62,19.537,256,7.3,1.13,8.69
levit_384,224,13010.17,19.668,256,39.13,2.36,6.26
mobilenetv4_hybrid_medium,256,12899.45,19.837,256,11.07,1.29,9.01
mobilenetv1_125,256,12862.06,19.894,256,6.27,1.16,8.23
ecaresnet50t,160,12731.21,20.1,256,25.57,2.21,6.04
semnasnet_140,224,12618.94,20.277,256,6.11,0.6,8.87
nf_regnet_b1,256,12525.77,20.429,256,10.22,0.82,7.27
repvit_m2,224,12475.42,20.511,256,8.8,1.36,9.43
resnetrs50,160,12428.45,20.588,256,35.69,2.29,6.2
convnext_femto_ols,288,12403.21,20.631,256,5.23,1.35,8.06
gmixer_12_224,224,12369.96,20.686,256,12.7,2.67,7.26
mobilenetv2_140,224,12263.51,20.865,256,6.11,0.6,9.57
pit_s_distilled_224,224,12210.42,20.957,256,24.04,2.9,11.64
resnetaa34d,224,12190.8,20.991,256,21.82,4.43,5.07
convnextv2_femto,288,12161.51,21.041,256,5.23,1.3,7.56
fbnetv3_d,224,12090.69,21.164,256,10.31,0.52,8.5
nf_resnet26,224,12044.22,21.246,256,16.0,2.41,7.35
visformer_tiny,224,11983.41,21.354,256,10.32,1.27,5.72
poolformerv2_s12,224,11968.43,21.381,256,11.89,1.83,5.53
pit_s_224,224,11936.79,21.437,256,23.46,2.88,11.56
efficientnet_es_pruned,224,11927.45,21.454,256,5.44,1.81,8.73
vit_base_patch32_224,224,11925.14,21.458,256,88.22,4.41,5.01
efficientnet_es,224,11898.4,21.507,256,5.44,1.81,8.73
vit_base_patch32_clip_224,224,11887.61,21.526,256,88.22,4.41,5.01
vit_base_patch32_clip_quickgelu_224,224,11884.79,21.532,256,87.85,4.41,5.01
efficientnet_lite1,240,11883.98,21.533,256,5.42,0.62,10.14
tiny_vit_5m_224,224,11858.98,21.578,256,12.08,1.28,11.25
selecsls60,224,11842.43,21.608,256,30.67,3.59,5.52
tf_efficientnet_es,224,11819.88,21.649,256,5.44,1.81,8.73
ese_vovnet19b_dw,224,11813.91,21.66,256,6.54,1.34,8.25
repvit_m1_1,224,11786.2,21.711,256,8.8,1.36,9.43
selecsls60b,224,11784.48,21.714,256,32.77,3.63,5.52
resnet26d,224,11759.24,21.761,256,16.01,2.6,8.15
tf_efficientnet_lite1,240,11696.2,21.877,256,5.42,0.62,10.14
efficientnet_b0,224,11670.69,21.926,256,5.29,0.4,6.75
efficientvit_b1,256,11622.24,22.018,256,9.1,0.69,9.46
mobilenet_edgetpu_v2_m,224,11435.95,22.377,256,8.46,1.85,8.15
hgnetv2_b4,224,11396.46,22.454,256,19.8,2.75,6.7
resmlp_12_224,224,11392.33,22.463,256,15.35,3.01,5.5
darknet17,256,11376.06,22.495,256,14.3,3.26,7.18
nf_ecaresnet26,224,11300.75,22.644,256,16.0,2.41,7.36
nf_seresnet26,224,11261.33,22.724,256,17.4,2.41,7.36
convnext_nano,224,11259.0,22.727,256,15.59,2.46,8.37
vit_small_patch32_384,384,11156.92,22.936,256,22.92,3.45,8.25
efficientnet_b1_pruned,240,11085.12,23.084,256,6.33,0.4,6.21
resnext50_32x4d,176,11026.93,23.206,256,25.03,2.71,8.97
tf_efficientnetv2_b1,240,11002.33,23.259,256,8.14,1.21,7.34
dla46x_c,224,10979.44,23.307,256,1.07,0.54,5.66
mobilenetv4_conv_aa_medium,256,10961.85,23.344,256,9.72,1.58,10.3
cs3darknet_focus_m,288,10880.75,23.519,256,9.3,2.51,6.19
mixer_s16_224,224,10874.1,23.533,256,18.53,3.79,5.97
edgenext_small,256,10831.26,23.626,256,5.59,1.26,9.07
dla60x_c,224,10780.61,23.737,256,1.32,0.59,6.01
mobilenetv4_conv_blur_medium,256,10753.26,23.797,256,9.72,1.59,11.2
mixer_b32_224,224,10749.19,23.807,256,60.29,3.24,6.29
resnetblur18,288,10709.95,23.894,256,11.69,3.87,5.6
rexnetr_130,224,10680.75,23.959,256,7.61,0.68,9.81
poolformer_s12,224,10614.31,24.108,256,11.92,1.82,5.53
cs3darknet_m,288,10519.8,24.326,256,9.31,2.63,6.69
fbnetv3_b,256,10482.22,24.413,256,8.6,0.55,9.1
resnet101,160,10466.64,24.45,256,44.55,4.0,8.28
skresnet34,224,10457.92,24.469,256,22.28,3.67,5.13
convnextv2_nano,224,10414.74,24.572,256,15.62,2.46,8.37
darknet21,256,10326.92,24.78,256,20.86,3.93,7.47
ghostnetv2_130,224,10285.16,24.881,256,8.96,0.28,5.9
gernet_l,256,10282.94,24.887,256,31.08,4.57,8.0
hgnetv2_b2,288,10247.93,24.971,256,11.22,1.89,6.8
mobilenetv2_120d,224,10245.9,24.977,256,5.83,0.69,11.97
convnext_nano_ols,224,10137.55,25.244,256,15.65,2.65,9.38
dpn48b,224,10002.5,25.584,256,9.13,1.69,8.92
nf_regnet_b2,272,9981.6,25.638,256,14.31,1.22,9.27
ecaresnet50d_pruned,224,9963.17,25.685,256,19.94,2.53,6.43
mobilenetv4_conv_medium,320,9962.23,25.687,256,9.72,1.71,11.84
mobileone_s1,224,9945.03,25.732,256,4.83,0.86,9.67
mobilenet_edgetpu_v2_l,224,9929.94,25.772,256,10.92,2.55,9.05
efficientnet_b0_gn,224,9920.37,25.796,256,5.29,0.42,6.75
tiny_vit_11m_224,224,9911.24,25.819,256,20.35,2.04,13.49
convnext_pico,288,9741.71,26.27,256,9.05,2.27,10.08
resnext26ts,256,9713.54,26.346,256,10.3,2.43,10.52
nf_regnet_b1,288,9675.15,26.45,256,10.22,1.02,9.2
vit_small_patch16_224,224,9665.97,26.475,256,22.05,4.61,11.95
repvgg_a2,224,9665.68,26.476,256,28.21,5.7,6.26
deit_small_patch16_224,224,9661.41,26.487,256,22.05,4.61,11.95
deit3_small_patch16_224,224,9645.46,26.532,256,22.06,4.61,11.95
tf_efficientnet_b0,224,9637.3,26.554,256,5.29,0.4,6.75
tf_mixnet_s,224,9581.92,26.707,256,4.13,0.25,6.25
rexnet_130,224,9568.98,26.744,256,7.56,0.68,9.71
deit_small_distilled_patch16_224,224,9556.61,26.778,256,22.44,4.63,12.02
vit_wee_patch16_reg1_gap_256,256,9553.41,26.788,256,13.42,3.83,13.9
xcit_tiny_24_p16_224,224,9465.47,27.036,256,12.12,2.34,11.82
mixnet_s,224,9398.83,27.228,256,4.13,0.25,6.25
vit_relpos_small_patch16_224,224,9365.71,27.325,256,21.98,4.59,13.05
vit_srelpos_small_patch16_224,224,9347.26,27.377,256,21.97,4.59,12.16
gc_efficientnetv2_rw_t,224,9344.17,27.386,256,13.68,1.94,9.97
vit_pwee_patch16_reg1_gap_256,256,9263.81,27.625,256,15.25,4.37,15.87
rexnetr_150,224,9243.8,27.684,256,9.78,0.89,11.13
hrnet_w18_small_v2,224,9242.43,27.688,256,15.6,2.62,9.65
vit_base_patch32_clip_256,256,9241.91,27.69,256,87.86,5.76,6.65
convnext_pico_ols,288,9219.94,27.757,256,9.06,2.37,10.74
mobilevitv2_075,256,9169.72,27.908,256,2.87,1.05,12.06
resnet26t,256,9168.78,27.912,256,16.01,3.35,10.52
resnet34,288,9144.8,27.985,256,21.8,6.07,6.18
gcresnext26ts,256,9136.94,28.009,256,10.48,2.43,10.53
legacy_seresnext26_32x4d,224,9127.31,28.037,256,16.79,2.49,9.39
efficientformerv2_s2,224,9079.95,28.184,256,12.71,1.27,11.77
regnetx_016,224,9048.99,28.281,256,9.19,1.62,7.93
sedarknet21,256,9044.06,28.297,256,20.95,3.93,7.47
mobilenetv4_hybrid_large_075,256,9021.75,28.366,256,22.75,2.06,11.64
convnextv2_pico,288,8940.75,28.624,256,9.07,2.27,10.08
mobilenetv4_conv_large,256,8935.42,28.64,256,32.59,2.86,12.14
efficientnet_lite2,260,8893.65,28.775,256,6.09,0.89,12.9
efficientvit_b1,288,8878.52,28.825,256,9.1,0.87,11.96
dpn68,224,8840.27,28.949,256,12.61,2.35,10.47
regnety_016,224,8805.36,29.063,256,11.2,1.63,8.04
tf_efficientnet_lite2,260,8796.92,29.092,256,6.09,0.89,12.9
hgnet_tiny,224,8776.27,29.161,256,14.74,4.54,6.36
seresnext26ts,256,8763.95,29.202,256,10.39,2.43,10.52
eca_resnext26ts,256,8762.16,29.207,256,10.3,2.43,10.52
vit_relpos_small_patch16_rpn_224,224,8724.84,29.332,256,21.97,4.59,13.05
fbnetv3_d,256,8723.73,29.335,256,10.31,0.68,11.1
vit_small_r26_s32_224,224,8684.28,29.469,256,36.43,3.56,9.85
efficientnet_b0,256,8654.63,29.57,256,5.29,0.52,8.81
mobilenet_edgetpu_v2_m,256,8614.85,29.707,256,8.46,2.42,10.65
botnet26t_256,256,8607.7,29.728,256,12.49,3.32,11.98
halonet26t,256,8583.89,29.814,256,12.48,3.19,11.69
efficientnet_blur_b0,224,8559.05,29.9,256,5.29,0.43,8.72
resnest14d,224,8557.7,29.905,256,10.61,2.76,7.33
edgenext_small_rw,256,8555.55,29.913,256,7.83,1.58,9.51
flexivit_small,240,8505.35,30.09,256,22.06,5.35,14.18
ecaresnext50t_32x4d,224,8481.39,30.175,256,15.41,2.7,10.09
ecaresnext26t_32x4d,224,8479.72,30.18,256,15.41,2.7,10.09
seresnext26t_32x4d,224,8460.91,30.245,256,16.81,2.7,10.09
dpn68b,224,8448.18,30.292,256,12.61,2.35,10.47
seresnet34,288,8419.97,30.395,256,21.96,6.07,6.18
efficientnet_b0_g16_evos,224,8418.52,30.399,256,8.11,1.01,7.42
ecaresnet101d_pruned,224,8411.86,30.422,256,24.88,3.48,7.69
resnet101,176,8404.43,30.451,256,44.55,4.92,10.08
seresnext26d_32x4d,224,8398.85,30.471,256,16.81,2.73,10.19
resnet34d,288,8385.33,30.521,256,21.82,6.47,7.51
rexnet_150,224,8361.13,30.608,256,9.73,0.9,11.21
efficientnetv2_rw_t,224,8343.87,30.671,256,13.65,1.93,9.94
repvit_m3,224,8338.0,30.693,256,10.68,1.89,13.94
pvt_v2_b1,224,8309.51,30.799,256,14.01,2.12,15.39
convit_tiny,224,8301.19,30.83,256,5.71,1.26,7.94
ecaresnetlight,224,8286.53,30.885,256,30.16,4.11,8.42
eca_nfnet_l0,224,8268.29,30.953,256,24.14,4.35,10.47
xcit_nano_12_p16_384,384,8253.59,31.007,256,3.05,1.64,12.15
resnet50,224,8237.46,31.069,256,25.56,4.11,11.11
nfnet_l0,224,8226.21,31.11,256,35.07,4.36,10.47
cs3darknet_focus_l,256,8211.8,31.166,256,21.15,4.66,8.03
tresnet_m,224,8210.79,31.169,256,31.39,5.75,7.31
mobileone_s2,224,8190.43,31.246,256,7.88,1.34,11.55
coatnext_nano_rw_224,224,8142.29,31.431,256,14.7,2.47,12.8
regnetz_005,288,8113.29,31.543,256,7.12,0.86,9.68
efficientnet_b1,224,8096.89,31.607,256,7.79,0.59,9.36
eca_botnext26ts_256,256,8088.97,31.637,256,10.59,2.46,11.6
mobileone_s0,224,8070.39,31.71,256,5.29,1.09,15.48
dla60,224,8036.02,31.847,256,22.04,4.26,10.16
ghostnetv2_160,224,8032.91,31.859,256,12.39,0.42,7.23
resnet26,288,8028.16,31.879,256,16.0,3.9,12.15
hgnetv2_b3,288,7993.28,32.017,256,16.29,2.94,8.38
resnet32ts,256,7987.07,32.043,256,17.96,4.63,11.58
eca_halonext26ts,256,7959.44,32.153,256,10.76,2.44,11.46
cs3darknet_l,256,7898.11,32.403,256,21.16,4.86,8.55
resnet33ts,256,7888.41,32.444,256,19.68,4.76,11.66
resnet50c,224,7858.28,32.567,256,25.58,4.35,11.92
fastvit_t8,256,7845.11,32.622,256,4.03,0.7,8.63
mobilenetv3_large_150d,256,7830.3,32.683,256,14.62,1.03,12.35
efficientnet_b0_g8_gn,224,7820.23,32.725,256,6.56,0.66,6.75
vit_small_resnet26d_224,224,7754.96,33.002,256,63.61,5.07,11.12
lambda_resnet26t,256,7725.02,33.129,256,10.96,3.02,11.87
coat_lite_tiny,224,7696.35,33.252,256,5.72,1.6,11.65
resnet50t,224,7687.2,33.293,256,25.57,4.32,11.82
levit_conv_512,224,7679.59,33.326,256,95.17,5.64,10.22
mobilevit_xs,256,7674.3,33.348,256,2.32,1.05,16.33
resnext26ts,288,7671.02,33.363,256,10.3,3.07,13.31
tf_efficientnetv2_b2,260,7642.74,33.487,256,10.1,1.72,9.84
resnet50d,224,7639.23,33.502,256,25.58,4.35,11.92
mobilenetv4_hybrid_medium,320,7554.53,33.877,256,11.07,2.05,14.36
ecaresnet26t,256,7544.42,33.923,256,16.01,3.35,10.53
efficientnet_cc_b0_8e,224,7516.53,34.049,256,24.01,0.42,9.42
nf_regnet_b3,288,7509.89,34.079,256,18.59,1.67,11.84
efficientnet_cc_b0_4e,224,7508.02,34.087,256,13.31,0.41,9.42
gmlp_s16_224,224,7502.53,34.112,256,19.42,4.42,15.1
resnetv2_50,224,7495.78,34.144,256,25.55,4.11,11.11
vit_tiny_patch16_384,384,7452.45,34.342,256,5.79,4.7,25.39
vovnet39a,224,7432.2,34.436,256,22.6,7.09,6.73
gcresnet33ts,256,7420.0,34.491,256,19.88,4.76,11.68
tf_efficientnetv2_b3,240,7371.52,34.718,256,14.36,1.93,9.95
wide_resnet50_2,176,7362.71,34.761,256,68.88,7.29,8.97
resnet152,160,7349.12,34.825,256,60.19,5.9,11.51
resnetaa34d,288,7340.2,34.867,256,21.82,7.33,8.38
selecsls84,224,7334.1,34.895,256,50.95,5.9,7.57
resnetaa50,224,7291.3,35.101,256,25.56,5.15,11.64
efficientnet_em,240,7258.93,35.257,256,6.9,3.04,14.34
levit_conv_512d,224,7214.89,35.472,256,92.5,5.85,11.3
tf_efficientnet_em,240,7200.67,35.543,256,6.9,3.04,14.34
gcresnext26ts,288,7186.05,35.614,256,10.48,3.07,13.33
vit_base_patch32_plus_256,256,7183.84,35.627,256,119.48,7.79,7.76
res2net50_48w_2s,224,7183.73,35.627,256,25.29,4.18,11.72
coat_lite_mini,224,7158.54,35.75,256,11.01,2.0,12.25
resnet26d,288,7151.59,35.787,256,16.01,4.29,13.48
efficientvit_b2,224,7108.81,36.002,256,24.33,1.6,14.62
repvit_m1_5,224,7103.0,36.031,256,14.64,2.31,15.7
ese_vovnet19b_dw,288,7097.11,36.062,256,6.54,2.22,13.63
resnet50_gn,224,7077.2,36.163,256,25.56,4.14,11.11
eca_resnet33ts,256,7061.62,36.243,256,19.68,4.76,11.66
resnetv2_50t,224,7051.5,36.295,256,25.57,4.32,11.82
seresnet33ts,256,7046.47,36.321,256,19.78,4.76,11.66
eca_vovnet39b,224,7017.69,36.47,256,22.6,7.09,6.74
resnetv2_50d,224,7006.58,36.528,256,25.57,4.35,11.92
crossvit_small_240,240,6948.36,36.834,256,26.86,5.63,18.17
inception_v3,299,6933.82,36.911,256,23.83,5.73,8.97
levit_512,224,6931.73,36.922,256,95.17,5.64,10.22
seresnext26ts,288,6920.44,36.982,256,10.39,3.07,13.32
eca_resnext26ts,288,6919.11,36.989,256,10.3,3.07,13.32
nf_ecaresnet50,224,6916.89,37.001,256,25.56,4.21,11.13
resnetblur50,224,6906.06,37.06,256,25.56,5.16,12.02
ese_vovnet39b,224,6897.07,37.107,256,24.57,7.09,6.74
hgnetv2_b4,288,6892.16,37.134,256,19.8,4.54,11.08
nf_seresnet50,224,6872.82,37.239,256,28.09,4.21,11.13
vgg11_bn,224,6872.74,37.239,256,132.87,7.62,7.44
vgg11,224,6868.96,37.26,256,132.86,7.61,7.44
resnext50_32x4d,224,6858.21,37.319,256,25.03,4.26,14.4
resnetaa50d,224,6834.01,37.45,256,25.58,5.39,12.44
sam2_hiera_tiny,224,6819.52,37.53,256,26.85,4.91,17.12
legacy_seresnet50,224,6808.13,37.592,256,28.09,3.88,10.6
resnet50_clip_gap,224,6805.83,37.606,256,23.53,5.39,12.44
convnext_nano,288,6796.73,37.655,256,15.59,4.06,13.84
dla60x,224,6789.78,37.695,256,17.35,3.54,13.8
efficientnet_b1,240,6787.57,37.706,256,7.79,0.71,10.88
mobileone_s3,224,6778.3,37.757,256,10.17,1.94,13.85
edgenext_small,320,6777.59,37.762,256,5.59,1.97,14.16
mobilevitv2_100,256,6775.09,37.776,256,4.9,1.84,16.08
convnext_tiny_hnf,224,6762.18,37.848,256,28.59,4.47,13.44
xcit_small_12_p16_224,224,6719.89,38.086,256,26.25,4.82,12.58
inception_next_tiny,224,6716.71,38.104,256,28.06,4.19,11.98
convnext_tiny,224,6713.74,38.121,256,28.59,4.47,13.44
twins_svt_small,224,6712.42,38.129,256,24.06,2.94,13.75
resnet50s,224,6700.52,38.196,256,25.68,5.47,13.52
vit_little_patch16_reg1_gap_256,256,6683.54,38.293,256,22.52,6.27,18.06
vit_relpos_base_patch32_plus_rpn_256,256,6635.1,38.573,256,119.42,7.68,8.01
ese_vovnet39b_evos,224,6627.24,38.618,256,24.58,7.07,6.74
vit_little_patch16_reg4_gap_256,256,6624.29,38.636,256,22.52,6.35,18.33
skresnet50,224,6610.42,38.716,256,25.8,4.11,12.5
rexnetr_200,224,6609.18,38.725,256,16.52,1.59,15.11
cs3sedarknet_l,256,6604.77,38.75,256,21.91,4.86,8.56
regnetz_b16_evos,224,6598.52,38.787,256,9.74,1.43,9.95
efficientnet_b2_pruned,260,6597.68,38.791,256,8.31,0.73,9.13
levit_512d,224,6590.97,38.832,256,92.5,5.85,11.3
crossvit_15_240,240,6583.92,38.873,256,27.53,5.81,19.77
densenet121,224,6580.95,38.89,256,7.98,2.87,6.9
tf_efficientnet_cc_b0_4e,224,6574.97,38.926,256,13.31,0.41,9.42
tf_efficientnet_cc_b0_8e,224,6564.08,38.99,256,24.01,0.42,9.42
seresnet50,224,6510.44,39.312,256,28.09,4.11,11.13
regnetz_b16,224,6497.98,39.386,256,9.72,1.45,9.95
resnetblur50d,224,6469.2,39.563,256,25.58,5.4,12.82
regnetx_032,224,6433.96,39.779,256,15.3,3.2,11.37
resnext50d_32x4d,224,6433.36,39.782,256,25.05,4.5,15.2
cspresnet50,256,6423.77,39.843,256,21.62,4.54,11.5
haloregnetz_b,224,6420.84,39.86,256,11.68,1.97,11.94
convformer_s18,224,6401.93,39.977,256,26.77,3.96,15.82
gmixer_24_224,224,6397.38,40.007,256,24.72,5.28,14.45
resnest26d,224,6382.9,40.098,256,17.07,3.64,9.97
caformer_s18,224,6357.61,40.255,256,26.34,4.13,19.39
resnet50_clip,224,6340.6,40.365,256,38.32,6.14,12.98
hgnetv2_b5,224,6336.07,40.393,256,39.57,6.56,11.19
tf_mixnet_m,224,6323.56,40.473,256,5.01,0.36,8.19
cs3darknet_focus_l,288,6307.83,40.575,256,21.15,5.9,10.16
repvgg_b1g4,224,6303.26,40.604,256,39.97,8.15,10.64
vit_medium_patch16_clip_224,224,6298.39,40.635,256,38.59,8.0,15.93
resnet32ts,288,6297.13,40.644,256,17.96,5.86,14.65
deit3_medium_patch16_224,224,6292.44,40.675,256,38.85,8.0,15.93
mixnet_m,224,6274.65,40.789,256,5.01,0.36,8.19
convnextv2_tiny,224,6265.42,40.849,256,28.64,4.47,13.44
convnextv2_nano,288,6252.04,40.936,256,15.62,4.06,13.84
efficientformer_l3,224,6248.87,40.958,256,31.41,3.93,12.01
coatnet_pico_rw_224,224,6223.54,41.125,256,10.85,2.05,14.62
resnet33ts,288,6212.45,41.198,256,19.68,6.02,14.75
vit_base_resnet26d_224,224,6210.89,41.208,256,101.4,6.97,13.16
skresnet50d,224,6206.47,41.238,256,25.82,4.36,13.31
tiny_vit_21m_224,224,6202.51,41.264,256,33.22,4.29,20.08
ecaresnet50t,224,6182.25,41.4,256,25.57,4.32,11.83
rexnet_200,224,6181.08,41.407,256,16.37,1.56,14.91
vit_relpos_medium_patch16_224,224,6168.22,41.493,256,38.75,7.97,17.02
poolformerv2_s24,224,6162.46,41.532,256,21.34,3.42,10.68
seresnet50t,224,6161.79,41.537,256,28.1,4.32,11.83
sehalonet33ts,256,6154.72,41.584,256,13.69,3.55,14.7
ecaresnet50d,224,6146.92,41.638,256,25.58,4.35,11.93
vit_srelpos_medium_patch16_224,224,6143.0,41.665,256,38.74,7.96,16.21
cs3darknet_l,288,6142.02,41.67,256,21.16,6.16,10.83
crossvit_15_dagger_240,240,6130.99,41.745,256,28.21,6.13,20.43
vovnet57a,224,6130.59,41.749,256,36.64,8.95,7.52
cspresnet50d,256,6120.99,41.814,256,21.64,4.86,12.55
convnext_nano_ols,288,6113.65,41.864,256,15.65,4.38,15.5
cspresnet50w,256,6107.36,41.907,256,28.12,5.04,12.19
vit_relpos_medium_patch16_cls_224,224,6098.64,41.967,256,38.76,8.03,18.24
resnetrs50,224,6086.47,42.05,256,35.69,4.48,12.14
xcit_nano_12_p8_224,224,6075.31,42.129,256,3.05,2.16,15.71
gcresnext50ts,256,6060.87,42.228,256,15.67,3.75,15.46
fbnetv3_g,240,6057.83,42.25,256,16.62,1.28,14.87
densenetblur121d,224,6056.82,42.256,256,8.0,3.11,7.9
gcvit_xxtiny,224,6049.45,42.308,256,12.0,2.14,15.36
vit_base_r26_s32_224,224,6038.4,42.386,256,101.38,6.81,12.36
nf_regnet_b3,320,6032.74,42.424,256,18.59,2.05,14.61
efficientnet_b1,256,6002.08,42.642,256,7.79,0.77,12.22
mobilevit_s,256,5976.11,42.827,256,5.58,2.03,19.94
resnet152,176,5947.93,43.031,256,60.19,7.22,13.99
tf_efficientnet_b1,240,5946.3,43.042,256,7.79,0.71,10.88
res2next50,224,5944.69,43.054,256,24.67,4.2,13.71
res2net50_26w_4s,224,5895.46,43.412,256,25.7,4.28,12.61
resnet26t,320,5888.07,43.468,256,16.01,5.24,16.44
res2net50_14w_8s,224,5885.45,43.487,256,25.06,4.21,13.28
dla60_res2next,224,5850.87,43.744,256,17.03,3.49,13.17
resmlp_24_224,224,5846.3,43.778,256,30.02,5.96,10.91
twins_pcpvt_small,224,5845.62,43.784,256,24.11,3.83,18.08
dla60_res2net,224,5837.47,43.845,256,20.85,4.15,12.34
edgenext_base,256,5822.01,43.961,256,18.51,3.85,15.58
gcresnet33ts,288,5797.71,44.145,256,19.88,6.02,14.78
regnety_040,224,5793.29,44.179,256,20.65,4.0,12.29
eva02_tiny_patch14_336,336,5792.23,44.186,256,5.76,4.68,27.16
resnetv2_50x1_bit,224,5786.08,44.234,256,25.55,4.23,11.11
regnetv_040,224,5783.78,44.252,256,20.64,4.0,12.29
ecaresnet50d_pruned,288,5762.03,44.418,256,19.94,4.19,10.61
efficientvit_l1,224,5756.46,44.461,256,52.65,5.27,15.85
visformer_small,224,5750.7,44.507,256,40.22,4.88,11.43
eva02_small_patch14_224,224,5748.38,44.524,256,21.62,6.14,18.28
ese_vovnet57b,224,5743.03,44.566,256,38.61,8.95,7.52
hgnet_small,224,5739.36,44.595,256,24.36,8.53,8.79
gcresnet50t,256,5724.09,44.713,256,25.9,5.42,14.67
nf_resnet50,256,5711.71,44.81,256,25.56,5.46,14.52
resnet51q,256,5706.87,44.849,256,35.7,6.38,16.55
hiera_tiny_224,224,5685.03,45.021,256,27.91,4.91,17.13
efficientnet_b2,256,5683.07,45.037,256,9.11,0.89,12.81
seresnext50_32x4d,224,5625.84,45.495,256,27.56,4.26,14.42
legacy_seresnext50_32x4d,224,5623.19,45.516,256,27.56,4.26,14.42
sebotnet33ts_256,256,5614.57,45.585,256,13.7,3.89,17.46
seresnetaa50d,224,5601.18,45.695,256,28.11,5.4,12.46
res2net50d,224,5592.35,45.768,256,25.72,4.52,13.41
regnety_032,224,5575.12,45.908,256,19.44,3.2,11.26
eca_resnet33ts,288,5547.26,46.139,256,19.68,6.02,14.76
seresnet33ts,288,5546.78,46.143,256,19.78,6.02,14.76
mobilenetv4_conv_large,320,5543.63,46.169,256,32.59,4.47,18.97
focalnet_tiny_srf,224,5540.33,46.197,256,28.43,4.42,16.32
resnetv2_50d_frn,224,5526.17,46.316,256,25.59,4.33,11.92
coatnet_0_rw_224,224,5518.99,46.375,256,27.44,4.43,18.73
davit_tiny,224,5515.29,46.407,256,28.36,4.54,18.89
fastvit_t12,256,5513.86,46.418,256,7.55,1.42,12.42
vit_relpos_medium_patch16_rpn_224,224,5513.6,46.421,256,38.73,7.97,17.02
resnetrs101,192,5499.51,46.54,256,63.62,6.04,12.7
vit_medium_patch16_gap_240,240,5483.44,46.677,256,44.4,9.22,18.81
efficientformerv2_l,224,5466.54,46.819,256,26.32,2.59,18.54
regnetx_040,224,5462.75,46.854,256,22.12,3.99,12.2
resnetv2_50d_gn,224,5452.78,46.939,256,25.57,4.38,11.92
coatnet_nano_rw_224,224,5433.12,47.109,256,15.14,2.41,15.41
edgenext_small_rw,320,5425.79,47.173,256,7.83,2.46,14.85
resnetv2_50d_evos,224,5402.37,47.378,256,25.59,4.33,11.92
efficientvit_b2,256,5396.4,47.427,256,24.33,2.09,19.03
dla102,224,5369.84,47.664,256,33.27,7.19,14.18
cspresnext50,256,5358.14,47.768,256,20.57,4.05,15.86
hrnet_w18_ssld,224,5312.43,48.178,256,21.3,4.32,16.31
mobilevitv2_125,256,5304.51,48.251,256,7.48,2.86,20.1
gc_efficientnetv2_rw_t,288,5303.02,48.263,256,13.68,3.2,16.45
resnest50d_1s4x24d,224,5302.55,48.268,256,25.68,4.43,13.57
coatnet_nano_cc_224,224,5300.81,48.285,256,13.76,2.24,15.02
densenet169,224,5293.85,48.347,256,14.15,3.4,7.3
resnet61q,256,5274.43,48.526,256,36.85,7.8,17.01
darknet53,256,5272.3,48.545,256,41.61,9.31,12.39
hgnet_tiny,288,5268.94,48.578,256,14.74,7.51,10.51
lambda_resnet26rpt_256,256,5256.58,48.689,256,10.99,3.16,11.87
resnet50_mlp,256,5238.43,48.86,256,26.65,7.05,16.25
rdnet_tiny,224,5230.54,48.933,256,23.86,5.06,15.98
nextvit_small,224,5230.17,48.937,256,31.76,5.81,18.44
nfnet_f0,192,5229.68,48.94,256,71.49,7.21,10.16
efficientnet_b3_pruned,300,5219.72,49.033,256,9.86,1.04,11.86
cs3darknet_focus_x,256,5215.35,49.076,256,35.02,8.03,10.69
resnet101,224,5204.99,49.174,256,44.55,7.83,16.23
poolformer_s24,224,5178.8,49.423,256,21.39,3.41,10.68
dm_nfnet_f0,192,5176.64,49.442,256,71.49,7.21,10.16
fastvit_s12,256,5169.44,49.511,256,9.47,1.82,13.67
xcit_tiny_12_p16_384,384,5122.18,49.969,256,6.72,3.64,18.26
efficientnet_lite3,300,5121.62,49.975,256,8.2,1.65,21.85
fastvit_sa12,256,5118.51,50.004,256,11.58,1.96,14.03
focalnet_tiny_lrf,224,5112.56,50.063,256,28.65,4.49,17.76
seresnext26t_32x4d,288,5093.87,50.247,256,16.81,4.46,16.68
darknetaa53,256,5089.88,50.286,256,36.02,7.97,12.39
cs3sedarknet_l,288,5080.41,50.38,256,21.91,6.16,10.83
tf_efficientnet_lite3,300,5063.4,50.55,256,8.2,1.65,21.85
hrnet_w18,224,5061.86,50.564,256,21.3,4.32,16.31
seresnext26d_32x4d,288,5057.03,50.614,256,16.81,4.51,16.85
cs3darknet_x,256,5045.79,50.726,256,35.05,8.38,11.35
resnet101c,224,5044.49,50.739,256,44.57,8.08,17.04
swin_tiny_patch4_window7_224,224,5039.45,50.789,256,28.29,4.51,17.06
maxvit_pico_rw_256,256,4998.32,51.207,256,7.46,1.83,22.3
ecaresnetlight,288,4963.55,51.567,256,30.16,6.79,13.91
maxvit_rmlp_pico_rw_256,256,4963.22,51.568,256,7.52,1.85,24.86
eca_nfnet_l0,288,4962.52,51.577,256,24.14,7.12,17.29
resnet50,288,4962.25,51.58,256,25.56,6.8,18.37
resnet101d,224,4941.95,51.792,256,44.57,8.08,17.04
mobilenetv4_hybrid_medium,384,4939.03,51.822,256,11.07,3.01,21.18
mobileone_s4,224,4931.74,51.899,256,14.95,3.04,17.74
nfnet_l0,288,4931.09,51.906,256,35.07,7.13,17.29
skresnext50_32x4d,224,4919.18,52.031,256,27.48,4.5,17.18
vit_medium_patch16_gap_256,256,4903.6,52.197,256,38.86,10.59,22.15
coatnet_bn_0_rw_224,224,4887.13,52.371,256,27.44,4.67,22.04
dpn68b,288,4849.7,52.777,256,12.61,3.89,17.3
mobilenetv3_large_150d,320,4830.54,52.987,256,14.62,1.61,19.29
vit_base_resnet50d_224,224,4826.53,53.03,256,110.97,8.73,16.92
ecaresnet26t,320,4809.11,53.223,256,16.01,5.24,16.44
vgg13,224,4804.86,53.27,256,133.05,11.31,12.25
vgg13_bn,224,4801.12,53.312,256,133.05,11.33,12.25
repvgg_b1,224,4794.12,53.389,256,57.42,13.16,10.64
halonet50ts,256,4780.36,53.542,256,22.73,5.3,19.2
coatnet_rmlp_nano_rw_224,224,4765.2,53.712,256,15.15,2.62,20.34
gcresnext50ts,288,4747.63,53.91,256,15.67,4.75,19.57
lambda_resnet50ts,256,4746.66,53.923,256,21.54,5.07,17.48
swinv2_cr_tiny_224,224,4745.98,53.93,256,28.33,4.66,28.45
efficientnet_cc_b1_8e,240,4739.38,54.005,256,39.72,0.75,15.44
ecaresnet50t,256,4722.81,54.195,256,25.57,5.64,15.45
ecaresnet101d_pruned,288,4706.4,54.383,256,24.88,5.75,12.71
pvt_v2_b2,224,4697.71,54.485,256,25.36,4.05,27.53
efficientnetv2_rw_t,288,4690.17,54.572,256,13.65,3.19,16.42
efficientnet_b1,288,4690.13,54.573,256,7.79,0.97,15.46
swinv2_cr_tiny_ns_224,224,4689.94,54.575,256,28.33,4.66,28.45
vit_medium_patch16_reg1_gap_256,256,4686.95,54.609,256,38.88,10.63,22.26
gcvit_xtiny,224,4677.16,54.722,256,19.98,2.93,20.26
nf_resnet101,224,4669.02,54.819,256,44.55,8.01,16.23
regnety_040_sgn,224,4665.34,54.863,256,20.65,4.03,12.29
lamhalobotnet50ts_256,256,4659.1,54.936,256,22.57,5.02,18.44
vit_medium_patch16_reg4_gap_256,256,4651.05,55.032,256,38.88,10.76,22.6
resnet50t,288,4649.07,55.055,256,25.57,7.14,19.53
dla102x,224,4635.33,55.219,256,26.31,5.89,19.42
hiera_small_224,224,4619.55,55.408,256,35.01,6.42,20.75
resnet50d,288,4619.02,55.413,256,25.58,7.19,19.7
wide_resnet50_2,224,4612.63,55.49,256,68.88,11.43,14.4
resnetv2_101,224,4600.01,55.642,256,44.54,7.83,16.23
resnet101_clip_gap,224,4595.55,55.696,256,42.52,9.11,17.56
tf_efficientnet_b2,260,4594.48,55.709,256,9.11,1.02,13.83
resnetaa101d,224,4591.39,55.747,256,44.57,9.12,17.56
tf_mixnet_l,224,4570.85,55.997,256,7.33,0.58,10.84
efficientvit_l2,224,4564.31,56.076,256,63.71,6.97,19.58
tf_efficientnetv2_b3,300,4554.51,56.198,256,14.36,3.04,15.74
resnetv2_50,288,4548.51,56.273,256,25.55,6.79,18.37
mixnet_l,224,4545.22,56.312,256,7.33,0.58,10.84
resnet101s,224,4541.57,56.358,256,44.67,9.19,18.64
gcresnet50t,288,4540.87,56.364,256,25.9,6.86,18.57
mvitv2_tiny,224,4518.92,56.64,256,24.17,4.7,21.16
cait_xxs24_224,224,4502.7,56.839,256,11.96,2.53,20.29
resnet51q,288,4496.23,56.927,256,35.7,8.07,20.94
nf_resnet50,288,4484.43,57.077,256,25.56,6.88,18.37
resnest50d,224,4484.41,57.077,256,27.48,5.4,14.36
nf_regnet_b4,320,4455.95,57.441,256,30.21,3.29,19.88
crossvit_18_240,240,4445.99,57.569,256,43.27,9.05,26.26
resnetblur101d,224,4442.61,57.614,256,44.57,9.12,17.94
efficientnet_b2,288,4434.83,57.715,256,9.11,1.12,16.2
resnext101_32x4d,224,4430.11,57.776,256,44.18,8.01,21.23
halo2botnet50ts_256,256,4424.96,57.843,256,22.64,5.02,21.78
botnet50ts_256,256,4416.09,57.959,256,22.74,5.54,22.23
vitamin_small_224,224,4405.81,58.094,256,22.03,5.92,26.38
resnetv2_101d,224,4395.97,58.225,256,44.56,8.07,17.04
resnetaa50,288,4392.86,58.267,256,25.56,8.52,19.24
nf_ecaresnet101,224,4388.13,58.329,256,44.55,8.01,16.27
resnet101_clip,224,4373.65,58.522,256,56.26,9.81,18.08
nf_seresnet101,224,4356.81,58.747,256,49.33,8.02,16.27
hieradet_small,256,4349.43,58.848,256,34.72,8.51,27.76
mobilevitv2_150,256,4334.6,59.05,256,10.59,4.09,24.11
rexnetr_300,224,4324.73,59.184,256,34.81,3.39,22.16
tf_efficientnet_cc_b1_8e,240,4322.38,59.217,256,39.72,0.75,15.44
tresnet_v2_l,224,4301.4,59.505,256,46.17,8.85,16.34
swin_s3_tiny_224,224,4290.26,59.66,256,28.33,4.64,19.13
resnext101_32x8d,176,4284.27,59.743,256,88.79,10.33,19.37
res2net50_26w_6s,224,4277.02,59.844,256,37.05,6.33,15.28
ese_vovnet39b,288,4248.82,60.241,256,24.57,11.71,11.13
legacy_seresnet101,224,4227.93,60.54,256,49.33,7.61,15.74
resnet50_gn,288,4222.36,60.62,256,25.56,6.85,18.37
cs3sedarknet_x,256,4215.77,60.715,256,35.4,8.38,11.35
wide_resnet101_2,176,4209.79,60.801,256,126.89,14.31,13.18
fbnetv3_g,288,4208.81,60.814,256,16.62,1.77,21.09
crossvit_18_dagger_240,240,4205.84,60.858,256,44.27,9.5,27.03
maxxvit_rmlp_nano_rw_256,256,4202.69,60.903,256,16.78,4.37,26.05
vit_base_patch32_384,384,4178.56,61.256,256,88.3,13.06,16.5
vit_base_patch32_clip_384,384,4178.4,61.258,256,88.3,13.06,16.5
twins_pcpvt_base,224,4172.72,61.341,256,43.83,6.68,25.25
resnetblur50,288,4164.2,61.467,256,25.56,8.52,19.87
efficientvit_b2,288,4145.81,61.737,256,24.33,2.64,24.03
resnet61q,288,4130.49,61.968,256,36.85,9.87,21.52
darknet53,288,4124.09,62.065,256,41.61,11.78,15.68
resnext50_32x4d,288,4120.75,62.115,256,25.03,7.04,23.81
coatnet_rmlp_0_rw_224,224,4120.51,62.117,256,27.45,4.72,24.89
poolformerv2_s36,224,4120.18,62.123,256,30.79,5.01,15.82
resnetaa50d,288,4119.71,62.13,256,25.58,8.92,20.57
seresnet101,224,4119.53,62.132,256,49.33,7.84,16.27
cs3edgenet_x,256,4107.9,62.309,256,47.82,11.53,12.92
cspdarknet53,256,4106.02,62.337,256,27.64,6.57,16.81
volo_d1_224,224,4101.98,62.399,256,26.63,6.94,24.43
convnext_tiny_hnf,288,4094.49,62.513,256,28.59,7.39,22.21
convnext_tiny,288,4073.96,62.828,256,28.59,7.39,22.21
hrnet_w32,224,4056.25,63.101,256,41.23,8.97,22.02
regnetx_080,224,4050.3,63.196,256,39.57,8.02,14.06
nextvit_base,224,4038.08,63.385,256,44.82,8.29,23.71
pit_b_distilled_224,224,4034.42,63.444,256,74.79,12.5,33.07
pit_b_224,224,4022.18,63.637,256,73.76,12.42,32.94
fastvit_mci0,256,4004.83,63.911,256,11.41,2.42,18.29
convnext_small,224,3998.3,64.017,256,50.22,8.71,21.56
darknetaa53,288,3994.45,64.079,256,36.02,10.08,15.68
inception_next_small,224,3986.65,64.204,256,49.37,8.36,19.27
ecaresnet101d,224,3983.05,64.261,256,44.57,8.08,17.07
coat_lite_small,224,3969.68,64.477,256,19.84,3.96,22.09
regnetz_c16,256,3947.47,64.841,256,13.46,2.51,16.57
regnetx_064,224,3944.55,64.89,256,26.21,6.49,16.37
cs3sedarknet_xdw,256,3941.85,64.932,256,21.6,5.97,17.18
cs3darknet_x,288,3934.32,65.058,256,35.05,10.6,14.36
regnetz_b16,288,3931.2,65.11,256,9.72,2.39,16.43
rexnetr_200,288,3927.78,65.166,256,16.52,2.62,24.96
resnetblur50d,288,3921.99,65.263,256,25.58,8.92,21.19
resmlp_36_224,224,3921.81,65.266,256,44.69,8.91,16.33
pvt_v2_b2_li,224,3910.42,65.455,256,22.55,3.91,27.6
maxxvitv2_nano_rw_256,256,3888.05,65.832,256,23.7,6.26,23.05
resnext50d_32x4d,288,3885.38,65.879,256,25.05,7.44,25.13
vit_large_patch32_224,224,3882.7,65.923,256,305.51,15.39,13.3
seresnet50,288,3880.91,65.955,256,28.09,6.8,18.39
res2net101_26w_4s,224,3875.61,66.043,256,45.21,8.1,18.45
regnetz_c16_evos,256,3866.46,66.2,256,13.49,2.48,16.57
repvit_m2_3,224,3852.0,66.448,256,23.69,4.57,26.21
xcit_tiny_12_p8_224,224,3851.28,66.461,256,6.71,4.81,23.6
densenet121,288,3850.05,66.481,256,7.98,4.74,11.41
vgg16_bn,224,3843.29,66.6,256,138.37,15.5,13.56
resnet101d,256,3841.99,66.622,256,44.57,10.55,22.25
mixer_b16_224,224,3841.01,66.64,256,59.88,12.62,14.53
regnetz_b16_evos,288,3840.11,66.654,256,9.74,2.36,16.43
vgg16,224,3839.88,66.659,256,138.36,15.47,13.56
vit_medium_patch16_rope_reg1_gap_256,256,3839.28,66.669,256,38.74,10.63,22.26
mobilenetv4_conv_large,384,3820.17,67.003,256,32.59,6.43,27.31
convnextv2_tiny,288,3792.59,67.49,256,28.64,7.39,22.21
rexnet_300,224,3771.96,67.859,256,34.71,3.44,22.4
convnextv2_small,224,3766.94,67.949,256,50.32,8.71,21.56
densenet201,224,3748.64,68.28,256,20.01,4.34,7.85
res2net101d,224,3734.18,68.545,256,45.23,8.35,19.25
hgnetv2_b5,288,3726.11,68.693,256,39.57,10.84,18.5
nest_tiny,224,3705.24,69.082,256,17.06,5.83,25.48
efficientnetv2_s,288,3702.94,69.124,256,21.46,4.75,20.13
ecaresnet50t,288,3690.88,69.35,256,25.57,7.14,19.55
seresnet50t,288,3690.42,69.359,256,28.1,7.14,19.55
edgenext_base,320,3685.34,69.455,256,18.51,6.01,24.32
coatnet_0_224,224,3684.19,69.475,256,25.04,4.58,24.01
convit_small,224,3679.62,69.563,256,27.78,5.76,17.87
ecaresnet50d,288,3676.55,69.621,256,25.58,7.19,19.72
swinv2_tiny_window8_256,256,3670.64,69.733,256,28.35,5.96,24.57
nest_tiny_jx,224,3669.11,69.761,256,17.06,5.83,25.48
eca_nfnet_l1,256,3668.26,69.777,256,41.41,9.62,22.04
efficientvit_b3,224,3667.52,69.791,256,48.65,3.99,26.9
mobilevitv2_175,256,3660.41,69.927,256,14.25,5.54,28.13
resnet152,224,3646.55,70.193,256,60.19,11.56,22.56
seresnext101_32x4d,224,3626.8,70.575,256,48.96,8.02,21.26
legacy_seresnext101_32x4d,224,3621.17,70.685,256,48.96,8.02,21.26
inception_v4,299,3620.42,70.7,256,42.68,12.28,15.09
xcit_small_24_p16_224,224,3616.94,70.768,256,47.67,9.1,23.64
tresnet_l,224,3593.17,71.235,256,55.99,10.9,11.9
resnet152c,224,3589.3,71.313,256,60.21,11.8,23.36
dla169,224,3570.86,71.681,256,53.39,11.6,20.2
densenetblur121d,288,3562.85,71.841,256,8.0,5.14,13.06
tnt_s_patch16_224,224,3559.68,71.906,256,23.76,5.24,24.37
resnetv2_101x1_bit,224,3551.18,72.078,256,44.54,8.04,16.23
convnextv2_nano,384,3546.15,72.18,256,15.62,7.22,24.61
rdnet_small,224,3539.46,72.314,256,50.44,8.74,22.55
resnet152d,224,3528.53,72.542,256,60.21,11.8,23.36
regnetv_040,288,3523.74,72.639,256,20.64,6.6,20.3
efficientvit_l2,256,3518.25,72.753,256,63.71,9.09,25.49
efficientnetv2_rw_s,288,3505.36,73.02,256,23.94,4.91,21.41
vit_small_resnet50d_s16_224,224,3504.26,73.043,256,57.53,13.48,24.82
maxvit_nano_rw_256,256,3501.58,73.099,256,15.45,4.46,30.28
vit_small_patch16_18x2_224,224,3500.73,73.117,256,64.67,13.71,35.69
maxvit_rmlp_nano_rw_256,256,3494.64,73.244,256,15.5,4.47,31.92
res2net50_26w_8s,224,3491.2,73.317,256,48.4,8.37,17.95
hgnet_small,288,3466.9,73.83,256,24.36,14.09,14.53
coatnet_rmlp_1_rw_224,224,3457.73,74.026,256,41.69,7.85,35.47
mobilenetv4_hybrid_medium,448,3448.71,74.22,256,11.07,4.2,29.64
resnest50d_4s2x40d,224,3439.65,74.416,256,30.42,4.4,17.94
focalnet_small_srf,224,3422.65,74.785,256,49.89,8.62,26.26
regnety_040,288,3396.57,75.36,256,20.65,6.61,20.3
poolformer_s36,224,3394.32,75.41,256,30.86,5.0,15.82
mvitv2_small,224,3388.47,75.541,256,34.87,7.0,28.08
davit_small,224,3382.96,75.663,256,49.75,8.8,30.49
ese_vovnet99b,224,3373.76,75.869,256,63.2,16.51,11.27
mixer_l32_224,224,3364.3,76.082,256,206.94,11.27,19.86
vit_base_patch16_siglip_gap_224,224,3352.55,76.35,256,85.8,17.49,23.75
vit_base_patch16_xp_224,224,3348.63,76.439,256,86.51,17.56,23.9
vit_base_patch16_224_miil,224,3348.42,76.443,256,94.4,17.59,23.91
seresnext50_32x4d,288,3348.33,76.445,256,27.56,7.04,23.82
seresnetaa50d,288,3347.65,76.461,256,28.11,8.92,20.59
vit_betwixt_patch16_reg1_gap_256,256,3346.86,76.479,256,60.4,16.32,27.83
vit_base_patch16_224,224,3345.67,76.508,256,86.57,17.58,23.9
convformer_s36,224,3344.88,76.523,256,40.01,7.67,30.5
deit_base_patch16_224,224,3344.81,76.527,256,86.57,17.58,23.9
vit_base_patch16_clip_quickgelu_224,224,3343.2,76.564,256,86.19,17.58,23.9
deit3_base_patch16_224,224,3342.68,76.576,256,86.59,17.58,23.9
vit_base_patch16_clip_224,224,3342.03,76.591,256,86.57,17.58,23.9
pvt_v2_b3,224,3337.39,76.696,256,45.24,6.92,37.7
hiera_small_abswin_256,256,3333.92,76.777,256,34.36,8.29,26.38
caformer_s36,224,3329.65,76.872,256,39.3,8.0,37.53
efficientnet_b3,288,3326.65,76.944,256,12.23,1.63,21.49
vit_base_patch16_siglip_224,224,3320.61,77.085,256,92.88,17.73,24.06
vit_betwixt_patch16_reg4_gap_256,256,3319.25,77.116,256,60.4,16.52,28.24
resnet152s,224,3317.78,77.15,256,60.32,12.92,24.96
cs3se_edgenet_x,256,3309.24,77.349,256,50.72,11.53,12.94
vit_base_patch16_gap_224,224,3303.26,77.489,256,86.57,17.49,25.59
vit_small_patch16_36x1_224,224,3302.19,77.513,256,64.67,13.71,35.69
deit_base_distilled_patch16_224,224,3300.25,77.56,256,87.34,17.68,24.05
cs3sedarknet_x,288,3293.75,77.714,256,35.4,10.6,14.37
vit_relpos_base_patch16_224,224,3288.47,77.838,256,86.43,17.51,24.97
nextvit_large,224,3287.18,77.867,256,57.87,10.78,28.99
vit_base_mci_224,224,3282.25,77.986,256,86.35,17.73,24.65
regnetv_064,224,3266.81,78.353,256,30.58,6.39,16.41
resnetv2_50d_gn,288,3266.39,78.364,256,25.57,7.24,19.7
vit_relpos_base_patch16_clsgap_224,224,3264.17,78.417,256,86.43,17.6,25.12
repvgg_b2,224,3260.0,78.517,256,89.02,20.45,12.9
beit_base_patch16_224,224,3259.83,78.519,256,86.53,17.58,23.9
vit_relpos_base_patch16_cls_224,224,3259.47,78.529,256,86.43,17.6,25.12
repvgg_b2g4,224,3254.26,78.656,256,61.76,12.63,12.9
resnetv2_50d_evos,288,3251.16,78.731,256,25.59,7.15,19.7
regnety_080,224,3246.07,78.854,256,39.18,8.0,17.97
beitv2_base_patch16_224,224,3245.71,78.862,256,86.53,17.58,23.9
regnety_064,224,3237.99,79.05,256,30.58,6.39,16.41
sequencer2d_s,224,3229.54,79.258,256,27.65,4.96,11.31
cs3edgenet_x,288,3219.84,79.497,256,47.82,14.59,16.36
maxvit_tiny_rw_224,224,3218.36,79.532,256,29.06,5.11,33.11
coatnet_1_rw_224,224,3216.02,79.59,256,41.72,8.04,34.6
efficientnet_el_pruned,300,3211.46,79.704,256,10.59,8.0,30.7
efficientnet_el,300,3210.88,79.719,256,10.59,8.0,30.7
mixnet_xl,224,3208.22,79.783,256,11.9,0.93,14.57
vgg19,224,3200.7,79.971,256,143.67,19.63,14.86
vgg19_bn,224,3198.64,80.025,256,143.68,19.66,14.86
fastvit_sa24,256,3196.7,80.071,256,21.55,3.8,24.32
legacy_xception,299,3195.72,80.097,256,22.86,8.4,35.83
tf_efficientnet_el,300,3194.92,80.117,256,10.59,8.0,30.7
regnety_032,288,3185.8,80.346,256,19.44,5.29,18.61
vit_small_patch16_384,384,3183.86,80.395,256,22.2,15.52,50.78
resnetv2_152,224,3179.36,80.509,256,60.19,11.55,22.56
deit3_small_patch16_384,384,3174.6,80.63,256,22.21,15.52,50.78
hrnet_w30,224,3172.72,80.677,256,37.71,8.15,21.21
focalnet_small_lrf,224,3161.39,80.966,256,50.34,8.74,28.61
swin_small_patch4_window7_224,224,3153.83,81.161,256,49.61,8.77,27.47
tf_efficientnetv2_s,300,3151.03,81.233,256,21.46,5.35,22.73
mobilevitv2_200,256,3150.51,81.247,256,18.45,7.22,32.15
resnet101,288,3147.94,81.312,256,44.55,12.95,26.83
vit_base_patch32_clip_448,448,3138.59,81.555,256,88.34,17.93,23.9
dpn92,224,3109.73,82.312,256,37.67,6.54,18.21
hiera_base_224,224,3102.53,82.503,256,51.52,9.4,30.42
nfnet_f0,256,3101.19,82.539,256,71.49,12.62,18.05
mobilenetv4_conv_aa_large,384,3093.53,82.743,256,32.59,7.07,32.29
dm_nfnet_f0,256,3083.56,83.011,256,71.49,12.62,18.05
resnetv2_152d,224,3076.59,83.198,256,60.2,11.8,23.36
hrnet_w18_ssld,288,3064.15,83.535,256,21.3,7.14,26.96
dla102x2,224,3061.68,83.603,256,41.28,9.34,29.91
nf_regnet_b4,384,3049.71,83.932,256,30.21,4.7,28.61
gcvit_tiny,224,3042.25,84.138,256,28.22,4.79,29.82
cait_xxs36_224,224,3031.38,84.438,256,17.3,3.77,30.34
xception41p,299,3019.53,84.771,256,26.91,9.25,39.86
densenet161,224,3006.8,85.129,256,28.68,7.79,11.06
ecaresnet50t,320,2995.44,85.452,256,25.57,8.82,24.13
regnety_080_tv,224,2993.18,85.516,256,39.38,8.51,19.73
vit_base_patch16_rpn_224,224,2978.25,85.944,256,86.54,17.49,23.75
twins_pcpvt_large,224,2977.85,85.958,256,60.99,9.84,35.82
regnetz_040,256,2959.14,86.499,256,27.12,4.06,24.19
vit_small_r26_s32_384,384,2948.63,86.81,256,36.47,10.43,29.85
gmlp_b16_224,224,2948.58,86.812,256,73.08,15.78,30.21
legacy_seresnet152,224,2940.44,87.052,256,66.82,11.33,22.08
regnetz_040_h,256,2937.29,87.143,256,28.94,4.12,24.29
twins_svt_base,224,2935.09,87.21,256,56.07,8.59,26.33
regnetz_d8,256,2918.46,87.707,256,23.37,3.97,23.74
flexivit_base,240,2911.53,87.916,256,86.59,20.29,28.36
vit_relpos_base_patch16_rpn_224,224,2909.18,87.987,256,86.41,17.51,24.97
efficientformer_l7,224,2896.41,88.374,256,82.23,10.17,24.45
regnetz_d8_evos,256,2895.78,88.394,256,23.46,4.5,24.92
seresnet152,224,2888.03,88.63,256,66.82,11.57,22.61
mvitv2_small_cls,224,2869.23,89.212,256,34.87,7.04,28.17
swinv2_cr_small_224,224,2869.18,89.213,256,49.7,9.07,50.27
dpn98,224,2866.56,89.294,256,61.57,11.73,25.2
swinv2_cr_small_ns_224,224,2851.92,89.753,256,49.7,9.08,50.27
inception_resnet_v2,299,2841.25,90.09,256,55.84,13.18,25.06
hrnet_w40,224,2841.0,90.097,256,57.56,12.75,25.29
vit_mediumd_patch16_reg4_gap_256,256,2831.24,90.41,256,64.11,17.87,37.57
maxxvit_rmlp_tiny_rw_256,256,2818.8,90.808,256,29.64,6.66,39.76
regnety_040_sgn,288,2814.17,90.956,256,20.65,6.67,20.3
eva02_base_patch16_clip_224,224,2810.17,91.088,256,86.26,17.62,26.32
wide_resnet50_2,288,2801.8,91.36,256,68.88,18.89,23.81
efficientvit_b3,256,2799.72,91.426,256,48.65,5.2,35.01
poolformerv2_m36,224,2797.01,91.515,256,56.08,8.81,22.02
resnetv2_101,288,2796.77,91.523,256,44.54,12.94,26.83
vit_betwixt_patch16_rope_reg4_gap_256,256,2794.77,91.589,256,60.23,16.52,28.24
resnetaa101d,288,2788.15,91.807,256,44.57,15.07,29.03
hgnetv2_b6,224,2778.72,92.115,256,75.26,16.88,21.23
xcit_tiny_24_p16_384,384,2775.49,92.225,256,12.12,6.87,34.29
mobilenetv4_hybrid_large,384,2771.92,92.344,256,37.76,7.77,34.52
efficientvit_l2,288,2770.71,92.385,256,63.71,11.51,32.19
levit_conv_384_s8,224,2749.96,93.083,256,39.12,9.98,35.86
resnet152d,256,2742.49,93.336,256,60.21,15.41,30.51
mobilenetv4_conv_large,448,2739.84,93.426,256,32.59,8.75,37.17
coatnet_rmlp_1_rw2_224,224,2704.02,94.662,256,41.72,8.11,40.13
resnetblur101d,288,2697.04,94.909,256,44.57,15.07,29.65
repvgg_b3g4,224,2696.88,94.914,256,83.83,17.89,15.1
efficientnet_b3,320,2696.04,94.944,256,12.23,2.01,26.52
convnext_base,224,2678.52,95.564,256,88.59,15.38,28.75
regnetx_120,224,2677.22,95.611,256,46.11,12.13,21.37
resnext101_64x4d,224,2667.58,95.957,256,83.46,15.52,31.21
levit_384_s8,224,2646.86,96.708,256,39.12,9.98,35.86
resnext101_32x8d,224,2646.71,96.714,256,88.79,16.48,31.21
wide_resnet101_2,224,2643.91,96.816,256,126.89,22.8,21.23
inception_next_base,224,2636.33,97.093,256,86.67,14.85,25.69
tf_efficientnet_b3,300,2632.25,97.244,256,12.23,1.87,23.83
resnet200,224,2631.56,97.27,256,64.67,15.07,32.19
resnext101_32x4d,288,2614.05,97.922,256,44.18,13.24,35.09
rexnetr_300,288,2612.58,97.977,256,34.81,5.59,36.61
vit_base_patch16_siglip_gap_256,256,2590.2,98.824,256,85.84,23.13,33.23
vit_large_r50_s32_224,224,2566.89,99.721,256,328.99,19.58,24.41
vit_base_patch16_siglip_256,256,2564.67,99.808,256,92.93,23.44,33.63
maxvit_tiny_tf_224,224,2550.75,100.351,256,30.92,5.6,35.78
efficientnet_b3_gn,288,2546.16,100.533,256,11.73,1.74,23.35
regnetz_d32,256,2543.95,100.62,256,27.58,5.98,23.74
samvit_base_patch16_224,224,2528.02,101.254,256,86.46,17.54,24.54
eva02_small_patch14_336,336,2526.33,101.323,256,22.13,15.48,54.33
crossvit_base_240,240,2521.38,101.521,256,105.03,21.22,36.33
convnextv2_base,224,2520.76,101.546,256,88.72,15.38,28.75
sequencer2d_m,224,2518.88,101.621,256,38.31,6.55,14.26
regnety_120,224,2511.21,101.932,256,51.82,12.14,21.38
regnetz_c16,320,2510.69,101.954,256,13.46,3.92,25.88
coat_tiny,224,2491.49,102.738,256,5.5,4.35,27.2
vit_base_patch16_reg4_gap_256,256,2482.98,103.091,256,86.62,23.5,33.89
seresnet101,288,2460.54,104.032,256,49.33,12.95,26.87
repvgg_b3,224,2459.38,104.081,256,123.09,29.16,15.1
swinv2_tiny_window16_256,256,2451.11,104.433,256,28.35,6.68,39.02
resnet101d,320,2444.46,104.716,256,44.57,16.48,34.77
regnetz_c16_evos,320,2443.36,104.763,256,13.49,3.86,25.88
xception41,299,2423.55,105.62,256,26.97,9.28,39.86
tresnet_xl,224,2413.65,106.052,256,78.44,15.2,15.34
efficientnet_lite4,380,2412.2,106.117,256,13.01,4.04,45.66
convnext_small,288,2411.61,106.142,256,50.22,14.39,35.65
coatnet_1_224,224,2409.54,106.233,256,42.23,8.7,39.0
hrnet_w48_ssld,224,2404.14,106.471,256,77.47,17.34,28.56
hrnet_w48,224,2403.21,106.513,256,77.47,17.34,28.56
tf_efficientnet_lite4,380,2401.87,106.574,256,13.01,4.04,45.66
caformer_m36,224,2378.95,107.598,256,56.2,13.29,50.48
ecaresnet101d,288,2377.02,107.688,256,44.57,13.35,28.19
hiera_base_plus_224,224,2375.75,107.745,256,69.9,12.67,37.98
fastvit_mci1,256,2370.49,107.983,256,21.54,4.72,32.84
rdnet_base,224,2367.82,108.105,256,87.45,15.4,31.14
maxvit_tiny_rw_256,256,2365.28,108.22,256,29.07,6.74,44.35
resnetrs101,288,2361.51,108.395,256,63.62,13.56,28.53
convformer_m36,224,2358.97,108.511,256,57.05,12.89,42.05
pvt_v2_b5,224,2356.7,108.615,256,81.96,11.76,50.92
pvt_v2_b4,224,2355.66,108.663,256,62.56,10.14,53.74
maxvit_rmlp_tiny_rw_256,256,2354.21,108.731,256,29.15,6.77,46.92
seresnext101_64x4d,224,2353.54,108.76,256,88.23,15.53,31.25
xcit_medium_24_p16_224,224,2347.78,109.028,256,84.4,16.13,31.71
seresnext101_32x8d,224,2341.18,109.335,256,93.57,16.48,31.25
vit_mediumd_patch16_rope_reg1_gap_256,256,2336.5,109.556,256,63.95,17.65,37.02
regnetx_160,224,2330.93,109.816,256,54.28,15.99,25.52
fastvit_sa36,256,2327.07,109.998,256,31.53,5.64,34.61
volo_d2_224,224,2323.74,110.155,256,58.68,14.34,41.34
nest_small,224,2322.48,110.217,256,38.35,10.35,40.04
convnext_tiny,384,2310.31,110.798,256,28.59,13.14,39.48
vit_base_r50_s16_224,224,2309.82,110.82,256,97.89,21.66,35.28
nest_small_jx,224,2306.72,110.97,256,38.35,10.35,40.04
eca_nfnet_l1,320,2302.23,111.183,256,41.41,14.92,34.42
hgnet_base,224,2292.28,111.669,256,71.58,25.14,15.47
davit_base,224,2283.75,112.086,256,87.95,15.51,40.66
mvitv2_base,224,2283.18,112.113,256,51.47,10.16,40.5
seresnext101d_32x8d,224,2279.47,112.295,256,93.59,16.72,32.05
vit_base_patch16_plus_240,240,2273.79,112.577,256,117.56,27.41,33.08
poolformer_m36,224,2266.85,112.921,256,56.17,8.8,22.02
vit_small_patch8_224,224,2262.19,113.154,256,21.67,22.44,80.84
focalnet_base_srf,224,2247.74,113.88,256,88.15,15.28,35.01
hiera_base_abswin_256,256,2242.95,114.124,256,51.27,12.46,40.7
vit_relpos_base_patch16_plus_240,240,2237.99,114.378,256,117.38,27.3,34.33
resnest101e,256,2234.57,114.552,256,48.28,13.38,28.66
mobilenetv4_conv_aa_large,448,2229.25,114.827,256,32.59,9.63,43.94
xcit_small_12_p16_384,384,2221.32,115.235,256,26.25,14.14,36.51
xception65p,299,2220.07,115.3,256,39.82,13.91,52.48
cait_s24_224,224,2217.42,115.437,256,46.92,9.35,40.58
resnet152,288,2213.91,115.622,256,60.19,19.11,37.28
swinv2_small_window8_256,256,2213.69,115.633,256,49.73,11.58,40.14
efficientnet_b3_g8_gn,288,2210.95,115.777,256,14.25,2.59,23.35
convformer_s18,384,2192.78,116.736,256,26.77,11.63,46.49
swinv2_cr_small_ns_256,256,2188.78,116.95,256,49.7,12.07,76.21
swin_base_patch4_window7_224,224,2187.06,117.041,256,87.77,15.47,36.63
efficientvit_b3,288,2171.71,117.869,256,48.65,6.58,44.2
seresnextaa101d_32x8d,224,2165.9,118.185,256,93.59,17.25,34.16
convnextv2_tiny,384,2148.79,119.127,256,28.64,13.14,39.48
seresnet152d,256,2148.49,119.143,256,66.84,15.42,30.56
resnet50x4_clip_gap,288,2144.6,119.359,256,65.62,19.57,34.11
caformer_s18,384,2141.55,119.527,256,26.34,13.42,77.34
resnetrs152,256,2135.82,119.85,256,86.62,15.59,30.83
vit_base_patch16_rope_reg1_gap_256,256,2133.64,119.972,256,86.43,23.22,33.39
swinv2_base_window12_192,192,2130.04,120.175,256,109.28,11.9,39.72
seresnext101_32x4d,288,2120.08,120.739,256,48.96,13.25,35.12
eva02_base_patch14_224,224,2117.73,120.874,256,85.76,23.22,36.55
poolformerv2_m48,224,2116.33,120.954,256,73.35,11.59,29.17
focalnet_base_lrf,224,2108.01,121.429,256,88.75,15.43,38.13
dm_nfnet_f1,224,2107.34,121.469,256,132.63,17.87,22.94
cs3se_edgenet_x,320,2106.36,121.525,256,50.72,18.01,20.21
regnety_160,224,2105.14,121.597,256,83.59,15.96,23.04
nfnet_f1,224,2090.25,122.462,256,132.63,17.87,22.94
vit_medium_patch16_gap_384,384,2078.7,123.143,256,39.03,26.08,67.54
dpn131,224,2074.97,123.363,256,79.25,16.09,32.97
efficientnetv2_s,384,2071.25,123.585,256,21.46,8.44,35.77
swin_s3_small_224,224,2068.44,123.754,256,49.74,9.43,37.84
hrnet_w44,224,2065.62,123.922,256,67.06,14.94,26.92
convnext_base,256,2065.1,123.954,256,88.59,20.09,37.55
coat_lite_medium,224,2064.62,123.979,256,44.57,9.81,40.06
efficientnet_b3_gn,320,2056.56,124.469,256,11.73,2.14,28.83
mixnet_xxl,224,2051.52,124.774,256,23.96,2.04,23.43
nf_regnet_b5,384,2048.92,124.932,256,49.74,7.95,42.9
resnet50x4_clip,288,2033.61,125.874,256,87.14,21.35,35.27
maxvit_rmlp_small_rw_224,224,2024.79,126.421,256,64.9,10.75,49.3
efficientnet_b4,320,2021.3,126.64,256,19.34,3.13,34.76
xcit_tiny_24_p8_224,224,2021.23,126.644,256,12.11,9.21,45.39
swinv2_cr_base_224,224,2018.07,126.843,256,87.88,15.86,59.66
swinv2_cr_base_ns_224,224,2005.7,127.625,256,87.88,15.86,59.66
tf_efficientnetv2_s,384,1994.9,128.316,256,21.46,8.44,35.77
regnetv_064,288,1990.64,128.591,256,30.58,10.55,27.11
tresnet_m,448,1981.93,129.156,256,31.39,22.99,29.21
xcit_nano_12_p8_384,384,1964.01,130.335,256,3.05,6.34,46.08
efficientnetv2_rw_s,384,1962.9,130.408,256,23.94,8.72,38.03
resnet200d,256,1962.4,130.442,256,64.69,20.0,43.09
twins_svt_large,224,1960.0,130.601,256,99.27,15.15,35.1
crossvit_15_dagger_408,408,1958.74,130.685,256,28.5,21.45,95.05
mvitv2_base_cls,224,1952.99,131.07,256,65.44,10.23,40.65
mobilenetv4_hybrid_large,448,1943.33,131.721,256,37.76,10.74,48.61
tnt_b_patch16_224,224,1941.85,131.823,256,65.41,14.09,39.01
mobilenetv4_conv_aa_large,480,1934.33,132.335,256,32.59,11.05,50.45
gcvit_small,224,1930.43,132.601,256,51.09,8.57,41.61
regnety_064,288,1927.43,132.808,256,30.58,10.56,27.11
halonet_h1,256,1922.3,133.164,256,8.1,3.0,51.17
regnety_080,288,1921.98,133.184,256,39.18,13.22,29.69
convit_base,224,1918.39,133.435,256,86.54,17.52,31.77
maxvit_tiny_pm_256,256,1916.11,133.593,256,30.09,6.61,47.9
coat_mini,224,1897.57,134.897,256,10.34,6.82,33.68
fastvit_ma36,256,1894.76,135.098,256,44.07,7.88,41.09
regnetz_040,320,1893.7,135.174,256,27.12,6.35,37.78
regnetz_040_h,320,1880.89,136.095,256,28.94,6.43,37.94
mobilevitv2_150,384,1864.53,137.289,256,10.59,9.2,54.25
regnetz_d8,320,1863.04,137.398,256,23.37,6.19,37.08
regnetz_d8_evos,320,1832.93,139.657,256,23.46,7.03,38.92
dpn107,224,1826.37,140.156,256,86.92,18.38,33.46
vitamin_base_224,224,1815.08,141.031,256,87.72,22.68,52.77
efficientnet_b3_g8_gn,320,1805.58,141.771,256,14.25,3.2,28.83
hrnet_w64,224,1800.18,142.196,256,128.06,28.97,35.09
coatnet_2_rw_224,224,1781.07,143.723,256,73.87,15.09,49.22
xception65,299,1774.28,144.273,256,39.92,13.96,52.48
fastvit_mci2,256,1766.58,144.901,256,35.82,7.91,43.34
maxxvit_rmlp_small_rw_256,256,1763.23,145.178,256,66.01,14.67,58.38
nextvit_small,384,1756.58,145.726,256,31.76,17.26,57.14
efficientnetv2_m,320,1752.86,146.036,256,54.14,11.01,39.97
coatnet_rmlp_2_rw_224,224,1741.02,147.029,256,73.88,15.18,54.78
resnet152d,320,1737.66,147.314,256,60.21,24.08,47.67
efficientvit_l3,224,1715.62,149.206,256,246.04,27.62,39.16
tiny_vit_21m_384,384,1715.38,149.227,256,21.23,13.77,77.83
seresnet152,288,1715.22,149.241,256,66.82,19.11,37.34
levit_conv_512_s8,224,1706.1,150.039,256,74.05,21.82,52.28
xcit_small_12_p8_224,224,1700.59,150.524,256,26.21,18.69,47.21
poolformer_m48,224,1686.87,151.749,256,73.47,11.59,29.17
volo_d3_224,224,1676.56,152.682,256,86.33,20.78,60.09
levit_512_s8,224,1666.95,153.563,256,74.05,21.82,52.28
caformer_b36,224,1666.61,153.592,256,98.75,23.22,67.3
coatnet_2_224,224,1651.34,155.015,256,74.68,16.5,52.67
convformer_b36,224,1649.96,155.143,256,99.88,22.69,56.06
maxvit_small_tf_224,224,1638.94,156.187,256,68.93,11.66,53.17
sequencer2d_l,224,1635.78,156.489,256,54.3,9.74,22.12
swin_s3_base_224,224,1634.71,156.59,256,71.13,13.69,48.26
regnetz_e8,256,1630.84,156.963,256,57.7,9.91,40.94
nest_base,224,1627.71,157.266,256,67.72,17.96,53.39
hgnetv2_b6,288,1622.05,157.812,256,75.26,27.9,35.09
convnext_base,288,1617.77,158.232,256,88.59,25.43,47.53
eca_nfnet_l2,320,1615.7,158.43,256,56.72,20.95,47.43
nest_base_jx,224,1615.45,158.458,256,67.72,17.96,53.39
convmixer_768_32,224,1615.29,158.475,256,21.11,19.55,25.95
resnext101_64x4d,288,1613.61,158.64,256,83.46,25.66,51.59
regnetz_d32,320,1612.01,158.797,256,27.58,9.33,37.08
vit_so150m_patch16_reg4_gap_256,256,1607.89,159.204,256,134.13,36.75,53.21
vit_so150m_patch16_reg4_map_256,256,1592.32,160.761,256,141.48,37.18,53.68
densenet264d,224,1591.16,160.877,256,72.74,13.57,14.0
mobilevitv2_175,384,1573.85,162.648,256,14.25,12.47,63.29
resnet200,288,1570.42,163.003,256,64.67,24.91,53.21
efficientvit_l2,384,1551.96,164.941,256,63.71,20.45,57.01
regnety_120,288,1541.43,166.07,256,51.82,20.06,35.34
swinv2_base_window8_256,256,1538.74,166.358,256,87.92,20.37,52.59
convnextv2_base,288,1528.58,167.465,256,88.72,25.43,47.53
ecaresnet200d,256,1516.5,168.798,256,64.69,20.0,43.15
efficientnetv2_rw_m,320,1516.44,168.804,256,53.24,12.72,47.14
seresnet200d,256,1510.21,169.5,256,71.86,20.01,43.15
resnetrs200,256,1506.62,169.905,256,93.21,20.18,43.42
maxvit_rmlp_small_rw_256,256,1505.28,170.056,256,64.9,14.15,66.09
mobilenetv4_conv_aa_large,544,1502.9,170.324,256,32.59,14.19,64.79
maxxvitv2_rmlp_base_rw_224,224,1492.62,171.499,256,116.09,24.2,62.77
coat_small,224,1479.25,173.047,256,21.69,12.61,44.25
convnext_large,224,1474.99,173.55,256,197.77,34.4,43.13
vit_betwixt_patch16_reg4_gap_384,384,1474.89,173.562,256,60.6,39.71,85.28
hrnet_w48_ssld,288,1457.57,175.623,256,77.47,28.66,47.21
resnext101_32x16d,224,1452.32,176.26,256,194.03,36.27,51.18
swinv2_small_window16_256,256,1451.76,176.326,256,49.73,12.82,66.29
senet154,224,1443.54,177.331,256,115.09,20.77,38.69
legacy_senet154,224,1435.62,178.308,256,115.09,20.77,38.69
resnetv2_50x1_bit,448,1429.57,179.064,256,25.55,16.62,44.46
nf_regnet_b5,456,1421.4,180.093,256,49.74,11.7,61.95
seresnext101_32x8d,288,1405.19,182.171,256,93.57,27.24,51.63
convnextv2_large,224,1398.77,183.007,256,197.96,34.4,43.13
efficientnet_b4,384,1396.87,183.256,256,19.34,4.51,50.04
gcvit_base,224,1394.71,183.536,256,90.32,14.87,55.48
volo_d1_384,384,1386.95,184.567,256,26.78,22.75,108.55
hgnet_base,288,1385.67,184.737,256,71.58,41.55,25.57
seresnext101d_32x8d,288,1371.24,186.68,256,93.59,27.64,52.95
convnext_small,384,1370.68,186.757,256,50.22,25.58,63.37
xception71,299,1367.4,187.205,256,42.34,18.09,69.92
vit_large_patch32_384,384,1360.57,188.147,256,306.63,45.31,43.86
seresnet152d,320,1353.12,189.182,256,66.84,24.09,47.72
crossvit_18_dagger_408,408,1350.07,189.608,256,44.61,32.47,124.87
resnetrs152,320,1348.43,189.84,256,86.62,24.34,48.14
nextvit_base,384,1347.63,189.95,256,44.82,24.64,73.95
rdnet_large,224,1330.13,192.452,256,186.27,34.74,46.67
efficientvit_l3,256,1327.54,192.828,256,246.04,36.06,50.98
convnext_base,320,1319.96,193.934,256,88.59,31.39,58.68
resnetv2_50x3_bit,224,1315.05,194.657,256,217.32,37.06,33.34
xcit_tiny_12_p8_384,384,1309.52,195.481,256,6.71,14.13,69.14
seresnextaa101d_32x8d,288,1303.25,196.419,256,93.59,28.51,56.44
regnety_160,288,1303.15,196.436,256,83.59,26.37,38.07
davit_large,224,1281.18,199.804,256,196.81,34.6,60.99
tf_efficientnet_b4,380,1278.54,200.216,256,19.34,4.49,49.49
xcit_large_24_p16_224,224,1277.51,200.379,256,189.1,35.86,47.27
regnety_320,224,1269.25,201.683,256,145.05,32.34,30.26
swinv2_large_window12_192,192,1267.31,201.991,256,228.77,26.17,56.53
vit_mediumd_patch16_reg4_gap_384,384,1254.95,203.981,256,64.27,43.67,113.51
regnetx_320,224,1253.43,204.228,256,107.81,31.81,36.3
swin_large_patch4_window7_224,224,1249.84,204.814,256,196.53,34.53,54.94
swinv2_cr_tiny_384,384,1248.53,205.031,256,28.33,15.34,161.01
resnet200d,320,1245.29,205.564,256,64.69,31.25,67.33
dm_nfnet_f2,256,1211.63,211.274,256,193.78,33.76,41.85
nfnet_f2,256,1207.12,212.064,256,193.78,33.76,41.85
mixer_l16_224,224,1198.62,213.568,256,208.2,44.6,41.69
xcit_small_24_p16_384,384,1191.61,214.823,256,47.67,26.72,68.58
tf_efficientnetv2_m,384,1187.13,215.635,256,54.14,15.85,57.52
ecaresnet200d,288,1180.84,216.784,256,64.69,25.31,54.59
seresnet200d,288,1176.89,217.511,256,71.86,25.32,54.6
vit_small_patch14_dinov2,518,1176.63,217.56,256,22.06,46.76,198.79
seresnet269d,256,1174.38,217.976,256,113.67,26.59,53.6
vit_base_patch16_18x2_224,224,1171.44,218.522,256,256.73,52.51,71.38
vit_small_patch14_reg4_dinov2,518,1167.53,219.256,256,22.06,46.95,199.77
swinv2_cr_large_224,224,1159.63,220.749,256,196.68,35.1,78.42
resnetrs270,256,1150.07,222.584,256,129.86,27.06,55.84
convformer_s36,384,1147.41,223.099,256,40.01,22.54,89.62
convnext_large_mlp,256,1136.31,225.279,256,200.13,44.94,56.33
eca_nfnet_l2,384,1126.24,227.293,256,56.72,30.05,68.28
maxvit_rmlp_base_rw_224,224,1122.54,228.041,256,116.14,23.15,92.64
caformer_s36,384,1120.64,228.427,256,39.3,26.08,150.33
vit_base_patch16_siglip_gap_384,384,1108.75,230.879,256,86.09,55.43,101.3
vit_base_patch16_384,384,1108.32,230.969,256,86.86,55.54,101.56
deit_base_patch16_384,384,1106.79,231.289,256,86.86,55.54,101.56
deit3_base_patch16_384,384,1106.51,231.346,256,86.88,55.54,101.56
vit_base_patch16_clip_384,384,1104.66,231.734,256,86.86,55.54,101.56
deit_base_distilled_patch16_384,384,1099.37,232.85,256,87.63,55.65,101.82
vit_base_patch16_siglip_384,384,1099.06,232.916,256,93.18,56.12,102.2
nextvit_large,384,1093.53,234.092,256,57.87,32.03,90.76
dm_nfnet_f1,320,1086.93,235.515,256,132.63,35.97,46.77
nfnet_f1,320,1081.87,236.614,256,132.63,35.97,46.77
seresnextaa101d_32x8d,320,1057.25,242.126,256,93.59,35.19,69.67
convmixer_1024_20_ks9_p14,224,1053.87,242.903,256,24.38,5.55,5.51
regnetz_e8,320,1043.8,245.246,256,57.7,15.46,63.94
vit_large_patch16_224,224,1041.62,245.761,256,304.33,61.6,63.52
eva_large_patch14_196,196,1041.47,245.796,256,304.14,61.57,63.52
beit_base_patch16_384,384,1041.45,245.799,256,86.74,55.54,101.56
swinv2_base_window16_256,256,1041.34,245.827,256,87.92,22.02,84.71
deit3_large_patch16_224,224,1040.35,246.06,256,304.37,61.6,63.52
swinv2_base_window12to16_192to256,256,1035.65,247.176,256,87.92,22.02,84.71
efficientnetv2_m,416,1034.88,247.361,256,54.14,18.6,67.5
eca_nfnet_l3,352,1034.06,247.553,256,72.04,32.57,73.12
beit_large_patch16_224,224,1021.33,250.639,256,304.43,61.6,63.52
mobilevitv2_200,384,1019.97,250.974,256,18.45,16.24,72.34
beitv2_large_patch16_224,224,1019.31,251.137,256,304.43,61.6,63.52
volo_d4_224,224,972.56,263.212,256,192.96,44.34,80.22
maxvit_base_tf_224,224,971.51,263.496,256,119.47,24.04,95.01
hiera_large_224,224,954.9,268.081,256,213.74,40.34,83.37
maxxvitv2_rmlp_large_rw_224,224,954.34,268.236,256,215.42,44.14,87.15
resnetrs200,320,950.29,269.381,256,93.21,31.51,67.81
resnetv2_152x2_bit,224,931.12,274.926,256,236.34,46.95,45.11
convnext_xlarge,224,930.04,275.246,256,350.2,60.98,57.5
seresnet269d,288,924.08,277.021,256,113.67,33.65,67.81
convnext_base,384,920.56,278.081,256,88.59,45.21,84.49
nasnetalarge,331,914.25,279.998,256,88.75,23.89,90.56
flexivit_large,240,911.71,280.781,256,304.36,70.99,75.39
inception_next_base,384,899.71,284.524,256,86.67,43.64,75.48
efficientnetv2_rw_m,416,897.78,285.137,256,53.24,21.49,79.62
convnext_large,288,891.34,287.196,256,197.77,56.87,71.29
xcit_small_24_p8_224,224,885.98,288.934,256,47.63,35.81,90.78
vit_large_r50_s32_384,384,883.45,289.761,256,329.09,57.43,76.52
tresnet_l,448,883.01,289.904,256,55.99,43.59,47.56
convnextv2_base,384,870.69,294.006,256,88.72,45.21,84.49
resnetv2_101x1_bit,448,859.26,297.921,256,44.54,31.65,64.93
pnasnet5large,331,852.39,300.32,256,86.06,25.04,92.89
efficientnet_b5,416,849.66,301.286,256,30.39,8.27,80.68
convnextv2_large,288,847.65,301.999,256,197.96,56.87,71.29
efficientvit_l3,320,845.04,302.933,256,246.04,56.32,79.34
davit_huge,224,829.13,308.745,256,348.92,61.23,81.32
convformer_m36,384,815.63,313.855,256,57.05,37.87,123.56
coatnet_rmlp_3_rw_224,224,808.28,316.71,256,165.15,33.56,79.47
coatnet_3_rw_224,224,807.9,316.858,256,181.81,33.44,73.83
xcit_medium_24_p16_384,384,806.79,317.297,256,84.4,47.39,91.64
vit_large_patch16_siglip_gap_256,256,806.47,317.422,256,303.36,80.8,88.34
caformer_m36,384,804.97,318.01,256,56.2,42.11,196.35
vit_large_patch16_siglip_256,256,801.91,319.228,256,315.96,81.34,88.88
repvgg_d2se,320,798.65,320.531,256,133.33,74.57,46.82
vit_base_patch8_224,224,795.31,321.875,256,86.58,78.22,161.69
volo_d2_384,384,789.01,324.444,256,58.87,46.17,184.51
vit_large_patch14_clip_quickgelu_224,224,782.99,326.939,256,303.97,81.08,88.79
vit_large_patch14_xp_224,224,782.94,326.962,256,304.06,81.01,88.79
vit_large_patch14_224,224,781.86,327.414,256,304.2,81.08,88.79
vit_large_patch14_clip_224,224,781.23,327.678,256,304.2,81.08,88.79
coatnet_3_224,224,772.28,331.477,256,166.97,36.56,79.01
resnest200e,320,765.73,334.308,256,70.2,35.69,82.78
regnety_160,384,765.62,334.358,256,83.59,46.87,67.67
vit_base_r50_s16_384,384,764.44,334.876,256,98.95,67.43,135.03
swinv2_cr_small_384,384,761.16,336.319,256,49.7,29.7,298.03
tf_efficientnetv2_m,480,760.12,336.778,256,54.14,24.76,89.84
regnety_640,224,754.37,339.342,256,281.38,64.16,42.5
ecaresnet269d,320,742.7,344.674,256,102.09,41.53,83.69
resnetv2_101x3_bit,224,740.89,345.52,256,387.93,71.23,48.7
efficientnet_b5,448,731.74,349.841,256,30.39,9.59,93.56
convnext_large_mlp,320,724.03,353.565,256,200.13,70.21,88.02
vitamin_large2_224,224,716.86,357.1,256,333.58,75.05,112.83
vitamin_large_224,224,716.07,357.492,256,333.32,75.05,112.83
resnetrs350,288,710.31,360.394,256,163.96,43.67,87.09
mvitv2_large,224,709.52,360.797,256,217.99,43.87,112.02
cait_xxs24_384,384,704.92,363.148,256,12.03,9.63,122.66
xcit_tiny_24_p8_384,384,690.01,370.998,256,12.11,27.05,132.95
resnet50x16_clip_gap,384,680.63,376.11,256,136.2,70.32,100.64
maxvit_large_tf_224,224,679.37,376.81,256,211.79,43.68,127.35
coat_lite_medium_384,384,679.13,376.941,256,44.57,28.73,116.7
efficientnetv2_l,384,676.62,378.337,256,118.52,36.1,101.16
tiny_vit_21m_512,512,663.92,385.573,256,21.27,27.02,177.93
tf_efficientnetv2_l,384,663.26,385.959,256,118.52,36.1,101.16
maxvit_tiny_tf_384,384,662.03,386.678,256,30.98,17.53,123.42
resnet50x16_clip,384,652.97,392.041,256,167.33,74.9,103.54
tf_efficientnet_b5,456,640.6,399.612,256,30.39,10.46,98.86
eca_nfnet_l3,448,638.11,401.174,256,72.04,52.55,118.4
nfnet_f2,352,631.24,405.539,256,193.78,63.22,79.06
swinv2_large_window12to16_192to256,256,628.73,407.156,256,196.74,47.81,121.53
dm_nfnet_f2,352,628.21,407.495,256,193.78,63.22,79.06
volo_d5_224,224,617.89,414.298,256,295.46,72.4,118.11
mvitv2_large_cls,224,615.19,416.117,256,234.58,42.17,111.69
ecaresnet269d,352,613.97,416.948,256,102.09,50.25,101.25
eva02_large_patch14_clip_224,224,605.15,423.025,256,304.11,81.18,97.2
eva02_large_patch14_224,224,605.1,423.058,256,303.27,81.15,97.2
vit_so400m_patch14_siglip_gap_224,224,597.92,428.139,256,412.44,109.57,106.13
xcit_medium_24_p8_224,224,597.46,428.468,256,84.32,63.53,121.23
vit_so400m_patch14_siglip_224,224,596.3,429.305,256,427.68,110.26,106.73
vit_base_patch16_siglip_gap_512,512,595.41,429.941,256,86.43,107.0,246.15
resnetrs270,352,593.7,431.181,256,129.86,51.13,105.48
vit_base_patch16_siglip_512,512,592.23,432.25,256,93.52,108.22,247.74
tresnet_xl,448,585.25,437.403,256,78.44,60.77,61.31
nfnet_f3,320,580.98,440.622,256,254.92,68.77,83.93
dm_nfnet_f3,320,578.4,442.591,256,254.92,68.77,83.93
xcit_small_12_p8_384,384,575.87,444.537,256,26.21,54.92,138.29
convformer_b36,384,571.54,447.902,256,99.88,66.67,164.75
convnext_xlarge,288,564.23,453.705,256,350.2,100.8,95.05
caformer_b36,384,564.02,453.867,256,98.75,72.33,261.79
efficientvit_l3,384,540.41,473.7,256,246.04,81.08,114.02
swinv2_cr_base_384,384,538.78,475.138,256,87.88,50.57,333.68
resmlp_big_24_224,224,534.87,478.611,256,129.14,100.23,87.31
seresnextaa201d_32x8d,320,530.48,482.573,256,149.39,70.22,138.71
swin_base_patch4_window12_384,384,526.43,486.278,256,87.9,47.19,134.78
convnextv2_huge,224,522.5,489.937,256,660.29,115.0,79.07
coatnet_4_224,224,516.83,495.312,256,275.43,62.48,129.26
cait_xs24_384,384,514.59,497.468,256,26.67,19.28,183.98
resnext101_32x32d,224,508.29,503.635,256,468.53,87.29,91.12
convnext_large,384,505.8,506.117,256,197.77,101.1,126.74
convnext_large_mlp,384,505.51,506.405,256,200.13,101.11,126.74
eva02_base_patch14_448,448,495.86,516.266,256,87.12,107.11,259.14
resnetrs420,320,490.22,522.204,256,191.89,64.2,126.56
convnextv2_large,384,480.94,532.276,256,197.96,101.1,126.74
vitamin_large_256,256,476.63,537.095,256,333.38,99.0,154.99
vitamin_large2_256,256,476.34,537.415,256,333.64,99.0,154.99
efficientnetv2_xl,384,473.56,540.575,256,208.12,52.81,139.2
cait_xxs36_384,384,472.1,542.238,256,17.37,14.35,183.7
regnety_320,384,471.4,543.046,256,145.05,95.0,88.87
tf_efficientnetv2_xl,384,467.46,547.633,256,208.12,52.81,139.2
swinv2_cr_huge_224,224,461.55,554.638,256,657.83,115.97,121.08
maxxvitv2_rmlp_base_rw_384,384,460.8,555.548,256,116.09,72.98,213.74
rdnet_large,384,454.9,562.743,256,186.27,102.09,137.13
focalnet_huge_fl3,224,451.28,567.265,256,745.28,118.26,104.8
xcit_large_24_p16_384,384,445.92,574.081,256,189.1,105.35,137.17
efficientnetv2_l,480,432.31,592.158,256,118.52,56.4,157.99
maxvit_small_tf_384,384,430.69,445.784,192,69.02,35.87,183.65
tf_efficientnetv2_l,480,425.62,601.47,256,118.52,56.4,157.99
vit_base_patch14_dinov2,518,422.75,605.542,256,86.58,151.71,397.58
vit_base_patch14_reg4_dinov2,518,420.52,608.763,256,86.58,152.25,399.53
hiera_huge_224,224,415.21,616.545,256,672.78,124.85,150.95
vit_huge_patch14_gap_224,224,405.72,630.968,256,630.76,166.73,138.74
coatnet_rmlp_2_rw_384,384,405.05,474.001,192,73.88,47.69,209.43
volo_d3_448,448,402.31,636.318,256,86.63,96.33,446.83
resnetrs350,384,400.15,639.744,256,163.96,77.59,154.74
cait_s24_384,384,399.34,641.043,256,47.06,32.17,245.31
deit3_huge_patch14_224,224,397.79,643.537,256,632.13,167.4,139.41
vit_huge_patch14_224,224,397.77,643.573,256,630.76,167.4,139.41
vit_huge_patch14_clip_quickgelu_224,224,397.73,643.637,256,632.08,167.4,139.41
vit_huge_patch14_clip_224,224,397.45,644.094,256,632.05,167.4,139.41
vit_huge_patch14_xp_224,224,395.98,646.484,256,631.8,167.3,139.41
sam2_hiera_tiny,896,388.8,164.6,64,26.85,99.86,384.63
vitamin_xlarge_256,256,386.93,661.605,256,436.06,130.13,177.37
regnety_1280,224,379.67,674.264,256,644.81,127.66,71.58
seresnextaa201d_32x8d,384,366.37,698.744,256,149.39,101.11,199.72
maxvit_xlarge_tf_224,224,358.95,713.18,256,506.99,97.52,191.04
resnest269e,416,358.78,713.517,256,110.93,77.69,171.98
maxvit_tiny_tf_512,512,354.93,360.623,128,31.05,33.49,257.59
efficientnet_b6,528,354.3,722.545,256,43.04,19.4,167.39
vit_large_patch14_clip_quickgelu_336,336,344.63,742.82,256,304.29,191.11,270.24
vit_large_patch16_siglip_gap_384,384,344.54,743.009,256,303.69,190.85,269.55
vit_large_patch14_clip_336,336,343.67,744.879,256,304.53,191.11,270.24
vit_large_patch16_384,384,343.49,745.276,256,304.72,191.21,270.24
eva_large_patch14_336,336,343.16,745.991,256,304.53,191.1,270.24
deit3_large_patch16_384,384,342.55,747.334,256,304.76,191.21,270.24
vit_large_patch16_siglip_384,384,342.3,747.871,256,316.28,192.07,270.75
nfnet_f3,416,340.62,751.561,256,254.92,115.58,141.78
dm_nfnet_f3,416,339.53,753.969,256,254.92,115.58,141.78
vit_giant_patch16_gap_224,224,338.53,756.187,256,1011.37,202.46,139.26
nfnet_f4,384,335.52,762.977,256,316.07,122.14,147.57
dm_nfnet_f4,384,332.75,769.343,256,316.07,122.14,147.57
xcit_large_24_p8_224,224,331.23,772.865,256,188.93,141.23,181.56
tf_efficientnet_b6,528,330.56,580.814,192,43.04,19.4,167.39
beit_large_patch16_384,384,327.97,780.534,256,305.0,191.21,270.24
sam2_hiera_small,896,325.93,196.351,64,33.95,123.99,442.63
convnext_xxlarge,256,322.53,793.713,256,846.47,198.09,124.45
swinv2_cr_large_384,384,319.63,600.684,192,196.68,108.96,404.96
convnext_xlarge,384,319.57,801.065,256,350.2,179.2,168.99
maxvit_rmlp_base_rw_384,384,319.22,801.939,256,116.14,70.97,318.95
convnextv2_huge,288,317.37,806.616,256,660.29,190.1,130.7
swin_large_patch4_window12_384,384,316.67,606.299,192,196.74,104.08,202.16
resnetv2_152x4_bit,224,316.17,809.666,256,936.53,186.9,90.22
resnetv2_152x2_bit,384,314.26,814.59,256,236.34,136.16,132.56
davit_giant,224,312.39,819.474,256,1406.47,192.92,153.06
xcit_small_24_p8_384,384,302.44,846.436,256,47.63,105.24,265.91
maxvit_base_tf_384,384,300.57,425.842,128,119.65,73.8,332.9
swinv2_base_window12to24_192to384,384,298.98,321.077,96,87.92,55.25,280.36
coatnet_5_224,224,295.77,865.513,256,687.47,145.49,194.24
eva02_large_patch14_clip_336,336,288.34,887.823,256,304.43,191.34,289.13
resnetrs420,416,284.53,899.724,256,191.89,108.45,213.79
resnetv2_50x3_bit,448,281.44,682.202,192,217.32,145.7,133.37
regnety_640,384,272.07,940.925,256,281.38,188.47,124.83
focalnet_huge_fl4,224,270.92,944.907,256,686.46,118.9,113.34
vitamin_large_336,336,270.63,709.44,192,333.57,175.72,307.47
vitamin_large2_336,336,270.54,709.67,192,333.83,175.72,307.47
mvitv2_huge_cls,224,270.48,946.469,256,694.8,120.67,243.63
cait_s36_384,384,267.14,958.275,256,68.37,47.99,367.4
efficientnetv2_xl,512,266.88,959.22,256,208.12,93.85,247.32
tf_efficientnetv2_xl,512,263.31,972.209,256,208.12,93.85,247.32
vit_giant_patch14_224,224,257.22,995.234,256,1012.61,267.18,192.64
vit_giant_patch14_clip_224,224,256.33,998.705,256,1012.65,267.18,192.64
eva_giant_patch14_224,224,256.2,999.216,256,1012.56,267.18,192.64
eva_giant_patch14_clip_224,224,254.62,1005.406,256,1012.59,267.18,192.64
resnet50x64_clip_gap,448,235.46,1087.208,256,365.03,253.96,233.22
nfnet_f5,416,232.61,1100.541,256,377.21,170.71,204.56
maxvit_small_tf_512,512,232.28,413.275,96,69.13,67.26,383.77
dm_nfnet_f5,416,231.56,1105.537,256,377.21,170.71,204.56
volo_d4_448,448,231.52,1105.726,256,193.41,197.13,527.35
resnet50x64_clip,448,228.54,1120.162,256,420.38,265.02,239.13
resnetv2_152x2_bit,448,225.56,1134.941,256,236.34,184.99,180.43
vitamin_xlarge_336,336,219.99,872.741,192,436.06,230.18,347.33
efficientnet_b7,600,209.53,1221.782,256,66.35,38.33,289.94
vitamin_large_384,384,205.2,623.762,128,333.71,234.44,440.16
vitamin_large2_384,384,205.17,623.858,128,333.97,234.44,440.16
focalnet_large_fl3,384,204.28,1253.192,256,239.13,105.06,168.04
xcit_medium_24_p8_384,384,203.5,1257.962,256,84.32,186.67,354.73
tf_efficientnet_b7,600,198.11,646.087,128,66.35,38.33,289.94
vit_so400m_patch14_siglip_gap_384,384,195.82,1307.314,256,412.99,333.46,451.19
focalnet_large_fl4,384,195.3,1310.76,256,239.32,105.2,181.78
vit_so400m_patch14_siglip_384,384,195.2,1311.466,256,428.23,335.4,452.89
davit_base_fl,768,192.39,665.305,128,90.37,190.32,530.15
maxvit_large_tf_384,384,190.72,671.13,128,212.03,132.55,445.84
nfnet_f4,512,190.38,1344.673,256,316.07,216.26,262.26
dm_nfnet_f4,512,189.19,1353.158,256,316.07,216.26,262.26
swinv2_large_window12to24_192to384,384,186.98,342.268,64,196.74,116.15,407.83
convnextv2_huge,384,178.56,1433.694,256,660.29,337.96,232.35
nfnet_f6,448,177.22,1444.522,256,438.36,229.7,273.62
dm_nfnet_f6,448,175.57,1458.065,256,438.36,229.7,273.62
vit_huge_patch14_clip_336,336,173.02,1479.562,256,632.46,390.97,407.54
sam2_hiera_base_plus,896,170.31,375.779,64,68.68,227.48,828.88
beit_large_patch16_512,512,169.73,1508.229,256,305.67,362.24,656.39
resnetv2_101x3_bit,448,167.54,1145.984,192,387.93,280.33,194.78
vitamin_xlarge_384,384,165.63,772.812,128,436.06,306.38,493.46
convmixer_1536_20,224,153.79,1664.601,256,51.63,48.68,33.03
eva02_large_patch14_448,448,153.5,1667.723,256,305.08,362.33,689.95
volo_d5_448,448,148.89,1719.408,256,295.91,315.06,737.92
vit_gigantic_patch14_224,224,146.07,1752.63,256,1844.44,483.95,275.37
vit_gigantic_patch14_clip_224,224,145.81,1755.702,256,1844.91,483.96,275.37
maxvit_base_tf_512,512,144.2,665.741,96,119.88,138.02,703.99
regnety_1280,384,138.04,1390.849,192,644.81,374.99,210.2
nfnet_f5,544,137.1,1867.295,256,377.21,290.97,349.71
efficientnet_b8,672,136.75,935.971,128,87.41,63.48,442.89
dm_nfnet_f5,544,136.7,1872.679,256,377.21,290.97,349.71
focalnet_xlarge_fl3,384,136.68,1873.042,256,408.79,185.61,223.99
focalnet_xlarge_fl4,384,135.52,1888.958,256,409.03,185.79,242.31
vit_huge_patch14_clip_quickgelu_378,378,135.21,1893.33,256,632.68,503.79,572.79
vit_so400m_patch14_siglip_gap_448,448,135.13,1894.403,256,413.33,487.18,764.26
vit_huge_patch14_clip_378,378,134.97,1896.634,256,632.68,503.79,572.79
nfnet_f7,480,133.4,1919.099,256,499.5,300.08,355.86
vit_large_patch14_dinov2,518,133.12,1923.026,256,304.37,507.15,1058.82
vit_large_patch14_reg4_dinov2,518,132.04,1938.813,256,304.37,508.9,1064.02
tf_efficientnet_b8,672,130.88,977.99,128,87.41,63.48,442.89
swinv2_cr_huge_384,384,130.75,489.486,64,657.94,352.04,583.18
swinv2_cr_giant_224,224,125.01,1023.872,128,2598.76,483.85,309.15
maxvit_xlarge_tf_384,384,123.97,516.244,64,475.32,292.78,668.76
vit_huge_patch16_gap_448,448,123.46,2073.454,256,631.67,544.7,636.83
cait_m36_384,384,120.83,2118.7,256,271.22,173.11,734.81
volo_d5_512,512,113.48,2255.978,256,296.09,425.09,1105.37
xcit_large_24_p8_384,384,112.54,2274.795,256,188.93,415.0,531.82
eva_giant_patch14_336,336,111.59,2294.19,256,1013.01,620.64,550.67
nfnet_f6,576,107.92,2372.106,256,438.36,378.69,452.2
dm_nfnet_f6,576,107.35,2384.806,256,438.36,378.69,452.2
maxvit_large_tf_512,512,101.74,629.046,64,212.33,244.75,942.15
convnextv2_huge,512,100.55,1273.014,128,660.29,600.81,413.07
tf_efficientnet_l2,475,90.19,1064.381,96,480.31,172.11,609.89
nfnet_f7,608,84.41,3032.802,256,499.5,480.39,570.85
regnety_2560,384,76.59,1671.223,128,1282.6,747.83,296.49
davit_huge_fl,768,69.12,925.974,64,360.64,744.84,1060.3
resnetv2_152x4_bit,480,66.53,1442.988,96,936.53,844.84,414.26
eva02_enormous_patch14_clip_224,224,63.84,4009.924,256,4350.56,1132.46,497.58
samvit_base_patch16,1024,61.83,258.784,16,89.67,486.43,1343.27
maxvit_xlarge_tf_512,512,61.08,785.831,48,475.77,534.14,1413.22
sam2_hiera_large,1024,53.33,900.092,48,212.15,907.48,2190.34
vit_giant_patch14_dinov2,518,40.02,4797.862,192,1136.48,1784.2,2757.89
vit_giant_patch14_reg4_dinov2,518,39.61,4847.503,192,1136.48,1790.08,2771.21
swinv2_cr_giant_384,384,36.91,866.946,32,2598.76,1450.71,1394.86
eva_giant_patch14_560,560,35.98,7115.889,256,1014.45,1906.76,2577.17
efficientnet_l2,800,32.95,1942.195,64,480.31,479.12,1707.39
tf_efficientnet_l2,800,31.83,1005.239,32,480.31,479.12,1707.39
samvit_large_patch16,1024,26.29,304.233,8,308.28,1493.86,2553.78
vit_so400m_patch14_siglip_gap_896,896,23.37,5478.218,128,416.87,2731.49,8492.88
samvit_huge_patch16,1024,15.57,770.869,12,637.03,2982.23,3428.16