pytorch-image-models/results/benchmark-infer-fp32-nchw-pt221-cpu-i9_10940x-dynamo.csv

model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count
tf_mobilenetv3_small_minimal_100,309.77,3.161,1,224,2.04
lcnet_035,308.98,3.161,1,224,1.64
resnet10t,300.12,3.231,1,176,5.44
lcnet_050,295.81,3.311,1,224,1.88
tinynet_e,273.01,3.592,1,106,2.04
mobilenetv3_small_050,270.37,3.63,1,224,1.59
lcnet_075,266.53,3.674,1,224,2.36
mobilenetv2_035,249.23,3.942,1,224,1.68
lcnet_100,244.53,3.999,1,224,2.95
mobilenetv3_small_100,225.97,4.345,1,224,2.54
mobilenetv3_small_075,220.29,4.46,1,224,2.04
tf_mobilenetv3_small_100,219.41,4.475,1,224,2.54
lcnet_150,219.1,4.466,1,224,4.5
mobilenetv2_050,214.82,4.575,1,224,1.97
tf_mobilenetv3_small_075,208.46,4.716,1,224,2.04
mnasnet_050,205.77,4.783,1,224,2.22
regnetx_002,198.21,4.962,1,224,2.68
ese_vovnet19b_slim,192.31,5.101,1,224,3.17
tinynet_d,191.92,5.128,1,152,2.34
resnet18,187.86,5.216,1,160,11.69
mobilenetv2_075,187.52,5.242,1,224,2.64
mnasnet_small,187.12,5.265,1,224,2.03
efficientvit_b0,184.09,5.346,1,224,3.41
ese_vovnet19b_slim_dw,184.05,5.341,1,224,1.9
mobilenetv2_100,182.7,5.378,1,224,3.5
hgnetv2_b0,180.83,5.43,1,224,6.0
mnasnet_075,180.52,5.443,1,224,3.17
hardcorenas_a,179.9,5.461,1,224,5.26
mobilenetv3_large_075,176.23,5.58,1,224,3.99
efficientnet_lite0,174.03,5.647,1,224,4.65
levit_128s,173.36,5.665,1,224,7.78
mnasnet_100,173.17,5.679,1,224,4.38
semnasnet_050,171.62,5.745,1,224,2.08
gernet_s,167.59,5.865,1,224,8.17
mobilenetv3_large_100,165.26,5.952,1,224,5.48
cs3darknet_s,164.21,5.995,1,256,3.28
mobilenetv3_rw,162.02,6.071,1,224,5.48
cs3darknet_focus_s,161.22,6.111,1,256,3.27
mobilenetv2_140,159.18,6.179,1,224,6.11
tf_mobilenetv3_large_minimal_100,159.13,6.186,1,224,3.92
resnet10t,155.59,6.322,1,224,5.44
regnety_002,154.79,6.375,1,224,3.16
tf_mobilenetv3_large_075,150.25,6.551,1,224,3.99
resnet14t,149.95,6.563,1,176,10.08
hardcorenas_b,146.58,6.72,1,224,5.18
hardcorenas_c,146.24,6.738,1,224,5.52
fbnetc_100,143.95,6.847,1,224,5.57
regnetx_004_tv,143.93,6.85,1,224,5.5
levit_conv_128s,142.89,6.888,1,224,7.78
tf_mobilenetv3_large_100,142.19,6.933,1,224,5.48
semnasnet_075,141.97,6.949,1,224,2.91
semnasnet_100,141.36,6.977,1,224,3.89
hgnetv2_b0,141.33,6.974,1,288,6.0
mobilenetv2_110d,139.05,7.092,1,224,4.52
spnasnet_100,138.75,7.11,1,224,4.42
dla46_c,138.38,7.137,1,224,1.3
hgnetv2_b1,138.06,7.135,1,224,6.34
efficientnet_es,137.5,7.174,1,224,5.44
efficientnet_es_pruned,137.05,7.197,1,224,5.44
tf_efficientnet_es,135.86,7.256,1,224,5.44
resnet14t,135.07,7.296,1,224,10.08
dla46x_c,134.66,7.334,1,224,1.07
efficientnet_lite1,134.08,7.36,1,240,5.42
regnetx_004,134.07,7.361,1,224,5.16
regnetx_006,133.51,7.39,1,224,6.2
semnasnet_140,133.03,7.417,1,224,6.11
vit_tiny_r_s16_p8_224,132.94,7.419,1,224,6.34
mnasnet_140,132.56,7.439,1,224,7.12
regnetx_008,131.77,7.489,1,224,7.26
mixer_s32_224,130.18,7.575,1,224,19.1
tf_efficientnet_lite0,129.71,7.61,1,224,4.65
tinynet_c,129.52,7.631,1,184,2.46
levit_192,128.69,7.669,1,224,10.95
mobilevitv2_050,127.38,7.758,1,256,1.37
resnext26ts,126.34,7.809,1,256,10.3
repghostnet_058,125.0,7.916,1,224,2.55
efficientvit_m1,124.63,7.943,1,224,2.98
mobileone_s1,123.39,8.002,1,224,4.83
levit_conv_128,122.84,8.041,1,224,9.21
vit_tiny_patch16_224,122.27,8.075,1,224,5.72
repghostnet_080,121.61,8.134,1,224,3.28
efficientvit_m2,120.55,8.204,1,224,4.19
repghostnet_050,120.14,8.244,1,224,2.31
gmixer_12_224,119.61,8.256,1,224,12.7
efficientnet_lite2,118.78,8.318,1,260,6.09
edgenext_xx_small,118.74,8.34,1,288,1.33
convnext_atto,118.59,8.331,1,224,3.7
levit_conv_192,117.23,8.428,1,224,10.95
resnet18,117.15,8.431,1,224,11.69
ese_vovnet19b_dw,116.09,8.507,1,224,6.54
poolformer_s12,116.09,8.504,1,224,11.92
hgnetv2_b1,115.23,8.574,1,288,6.34
repghostnet_100,115.12,8.593,1,224,4.07
mobileone_s2,115.04,8.591,1,224,7.88
efficientformer_l1,114.17,8.656,1,224,12.29
regnety_008,114.08,8.665,1,224,6.26
pit_ti_distilled_224,113.8,8.689,1,224,5.1
eca_resnext26ts,113.67,8.691,1,256,10.3
resnext26ts,113.57,8.698,1,288,10.3
convnextv2_atto,113.43,8.717,1,224,3.71
hardcorenas_e,112.85,8.76,1,224,8.07
pit_ti_224,112.61,8.783,1,224,4.85
regnety_008_tv,112.43,8.792,1,224,6.43
hardcorenas_f,111.54,8.864,1,224,8.2
mobilenetv2_120d,111.47,8.87,1,224,5.83
tf_efficientnet_lite1,110.97,8.904,1,240,5.42
rexnetr_100,110.89,8.92,1,224,4.88
repghostnet_111,110.87,8.924,1,224,4.54
resnet34,110.55,8.941,1,160,21.8
regnetx_016,110.01,8.986,1,224,9.19
tinynet_b,109.25,9.056,1,188,3.73
vit_small_patch32_224,109.13,9.057,1,224,22.88
convnext_atto_ols,109.08,9.061,1,224,3.7
resnet18d,108.71,9.091,1,224,11.71
repghostnet_130,108.47,9.122,1,224,5.48
poolformerv2_s12,107.65,9.183,1,224,11.89
seresnext26ts,107.11,9.232,1,256,10.39
convnext_femto_ols,106.07,9.323,1,224,5.23
mobilevitv2_075,106.07,9.326,1,256,2.87
hardcorenas_d,105.79,9.356,1,224,7.5
dla60x_c,105.71,9.368,1,224,1.32
ecaresnext26t_32x4d,105.69,9.351,1,224,15.41
regnety_004,105.63,9.369,1,224,4.34
legacy_seresnext26_32x4d,104.98,9.42,1,224,16.79
rexnetr_130,104.91,9.431,1,224,7.61
resnest14d,104.32,9.477,1,224,10.61
gernet_m,104.16,9.496,1,224,21.14
deit_tiny_distilled_patch16_224,103.75,9.535,1,224,5.91
ecaresnext50t_32x4d,103.7,9.532,1,224,15.41
gmlp_ti16_224,103.63,9.549,1,224,5.87
mobileone_s3,103.43,9.566,1,224,10.17
regnety_006,103.41,9.567,1,224,6.06
fastvit_t8,102.84,9.625,1,256,4.03
edgenext_x_small,102.14,9.7,1,256,2.34
legacy_seresnet18,101.61,9.742,1,224,11.78
visformer_tiny,101.0,9.794,1,224,10.32
convnext_femto,100.98,9.799,1,224,5.22
eca_resnext26ts,100.84,9.809,1,288,10.3
repghostnet_150,100.56,9.847,1,224,6.58
resnet26,100.24,9.873,1,224,16.0
rexnet_130,100.02,9.897,1,224,7.56
ghostnet_050,99.95,9.921,1,224,2.59
repvgg_a0,99.88,9.911,1,224,9.11
tf_efficientnet_lite2,99.83,9.913,1,260,6.09
resmlp_12_224,99.81,9.912,1,224,15.35
efficientnet_b0,99.79,9.92,1,224,5.29
levit_128,99.57,9.926,1,224,9.21
seresnet18,99.43,9.958,1,224,11.78
edgenext_xx_small,99.11,10.004,1,256,1.33
hgnetv2_b2,99.01,9.995,1,224,11.22
pit_xs_224,98.69,10.031,1,224,10.62
efficientvit_m3,98.64,10.045,1,224,6.9
rexnet_100,98.61,10.039,1,224,4.8
seresnet18,98.27,10.075,1,288,11.78
seresnext26d_32x4d,98.23,10.069,1,224,16.81
rexnetr_150,98.17,10.081,1,224,9.78
botnet26t_256,97.98,10.099,1,256,12.49
seresnext26t_32x4d,97.89,10.103,1,224,16.81
eca_botnext26ts_256,97.8,10.118,1,256,10.59
resnetblur18,97.7,10.13,1,224,11.69
resnet18d,96.95,10.212,1,288,11.71
tf_efficientnetv2_b0,96.59,10.256,1,192,7.14
levit_256,96.35,10.273,1,224,18.89
efficientnet_em,96.25,10.288,1,240,6.9
rexnet_150,95.9,10.322,1,224,9.73
halonet26t,95.84,10.328,1,256,12.48
mixer_s16_224,95.44,10.369,1,224,18.53
seresnext26ts,94.94,10.43,1,288,10.39
levit_conv_256,94.65,10.461,1,224,18.89
efficientvit_b1,94.33,10.5,1,256,9.1
cs3darknet_focus_m,94.26,10.506,1,288,9.3
eca_halonext26ts,94.18,10.514,1,256,10.76
cs3darknet_focus_m,93.99,10.537,1,256,9.3
hgnet_tiny,93.7,10.567,1,224,14.74
gcresnext26ts,93.68,10.57,1,256,10.48
resnet26d,93.37,10.604,1,224,16.01
repghostnet_200,93.05,10.645,1,224,9.8
edgenext_x_small,92.43,10.725,1,288,2.34
cs3darknet_m,92.2,10.746,1,288,9.31
mobilevitv2_100,91.89,10.775,1,256,4.9
efficientvit_b1,91.28,10.851,1,224,9.1
ese_vovnet19b_dw,91.06,10.875,1,288,6.54
efficientnet_lite3,90.69,10.918,1,300,8.2
efficientvit_m4,90.48,10.956,1,224,8.8
cs3darknet_m,90.33,10.969,1,256,9.31
convnext_pico_ols,90.01,11.004,1,224,9.06
tf_efficientnetv2_b0,89.68,11.051,1,224,7.14
convnext_atto,89.44,11.077,1,288,3.7
resnetblur18,89.14,11.115,1,288,11.69
lambda_resnet26t,89.02,11.126,1,256,10.96
convnextv2_femto,88.99,11.135,1,288,5.23
resnext50_32x4d,88.42,11.202,1,160,25.03
fastvit_t12,88.28,11.221,1,256,7.55
efficientnet_b0_g16_evos,88.06,11.258,1,224,8.11
ghostnet_100,87.95,11.268,1,224,5.18
convnextv2_atto,87.77,11.29,1,288,3.71
lambda_resnet26rpt_256,87.55,11.317,1,256,10.99
resnet26t,87.18,11.365,1,256,16.01
resnext50_32x4d,86.94,11.395,1,176,25.03
tf_efficientnet_em,86.66,11.438,1,240,6.9
tf_efficientnet_lite3,86.35,11.474,1,300,8.2
efficientvit_b1,86.24,11.493,1,288,9.1
efficientvit_m0,85.82,11.565,1,224,2.35
repvgg_a1,85.61,11.575,1,224,14.09
pit_xs_distilled_224,85.6,11.564,1,224,11.0
tf_efficientnet_b0,85.5,11.591,1,224,5.29
convnextv2_femto,84.79,11.69,1,224,5.23
mobilevitv2_125,84.78,11.688,1,256,7.48
gcresnext26ts,84.57,11.723,1,288,10.48
ghostnet_130,84.43,11.743,1,224,7.36
resnet26,84.24,11.764,1,288,16.0
efficientnet_cc_b0_4e,84.1,11.789,1,224,13.31
mobilevit_xxs,83.93,11.822,1,256,1.27
edgenext_small,83.4,11.884,1,256,5.59
convnext_atto_ols,82.48,12.023,1,288,3.7
resnet18,82.07,12.078,1,288,11.69
rexnet_200,81.94,12.099,1,224,16.37
resnet33ts,81.85,12.111,1,256,19.68
rexnetr_200,81.41,12.177,1,224,16.52
seresnext26d_32x4d,81.39,12.178,1,288,16.81
hgnetv2_b2,81.32,12.191,1,288,11.22
deit_tiny_patch16_224,81.06,12.197,1,224,5.72
dla34,80.92,12.257,1,224,15.74
vit_tiny_r_s16_p8_384,80.91,12.256,1,384,6.36
resnet34,80.89,12.257,1,224,21.8
efficientformerv2_s0,80.24,12.365,1,224,3.6
hgnetv2_b3,80.24,12.357,1,224,16.29
regnetx_032,80.0,12.395,1,224,15.3
ecaresnet26t,79.04,12.546,1,256,16.01
resnet26d,78.81,12.583,1,288,16.01
tf_efficientnetv2_b1,78.59,12.626,1,192,8.14
mobileone_s4,78.54,12.626,1,224,14.95
darknet17,78.53,12.631,1,256,14.3
resnet32ts,78.49,12.634,1,288,17.96
efficientnet_cc_b0_8e,78.27,12.671,1,224,24.01
fastvit_sa12,78.11,12.697,1,256,11.58
regnetz_005,78.08,12.705,1,224,7.12
tf_efficientnetv2_b2,77.95,12.727,1,208,10.1
seresnext26t_32x4d,77.84,12.74,1,288,16.81
xcit_nano_12_p16_224,76.77,12.935,1,224,3.05
convnext_pico,76.48,12.968,1,224,9.05
resnext50_32x4d,76.13,13.026,1,224,25.03
edgenext_small_rw,76.06,13.038,1,256,7.83
tf_efficientnetv2_b1,75.93,13.072,1,240,8.14
efficientnet_b1_pruned,75.54,13.138,1,240,6.33
tf_efficientnet_cc_b0_4e,75.53,13.139,1,224,13.31
resnet34d,75.17,13.196,1,224,21.82
skresnet18,74.63,13.294,1,224,11.96
tinynet_a,74.63,13.286,1,192,6.19
resnet33ts,74.49,13.318,1,288,19.68
efficientvit_m5,73.98,13.416,1,224,12.47
fbnetv3_b,73.94,13.426,1,224,8.6
resnest26d,73.62,13.478,1,224,17.07
eca_resnet33ts,73.59,13.48,1,256,19.68
resnext50d_32x4d,73.4,13.513,1,224,25.05
regnetz_b16,73.29,13.544,1,224,9.72
convnext_pico_ols,73.18,13.56,1,288,9.06
fastvit_s12,73.13,13.565,1,256,9.47
nf_regnet_b0,73.1,13.577,1,192,8.76
repvgg_b0,73.06,13.582,1,224,15.82
resnet50d,72.99,13.592,1,160,25.58
resnet26t,72.97,13.595,1,320,16.01
gernet_l,72.73,13.644,1,256,31.08
resnet50,72.62,13.661,1,160,25.56
resnetaa34d,72.41,13.706,1,224,21.82
regnetz_005,71.79,13.827,1,288,7.12
dla60x,71.78,13.825,1,224,17.35
resnet32ts,71.73,13.835,1,256,17.96
vit_tiny_patch16_384,71.63,13.85,1,384,5.79
tf_efficientnet_cc_b0_8e,71.62,13.862,1,224,24.01
edgenext_small,71.48,13.881,1,320,5.59
levit_256d,71.24,13.93,1,224,26.21
pvt_v2_b0,71.09,13.963,1,224,3.67
levit_384,70.96,13.987,1,224,39.13
convnext_femto,70.73,14.033,1,288,5.22
cspresnext50,70.51,14.072,1,256,20.57
resnet50,70.29,14.117,1,176,25.56
efficientnet_b1,70.28,14.123,1,224,7.79
nf_regnet_b0,70.25,14.133,1,256,8.76
efficientnet_b1,70.19,14.139,1,256,7.79
rexnetr_200,70.18,14.142,1,288,16.52
efficientnet_b2_pruned,70.05,14.176,1,260,8.31
regnetx_040,69.8,14.216,1,224,22.12
levit_conv_256d,69.66,14.25,1,224,26.21
repvit_m1,69.25,14.34,1,224,5.49
pit_s_224,68.96,14.396,1,224,23.46
tf_efficientnetv2_b2,68.65,14.465,1,260,10.1
convit_tiny,68.61,14.477,1,224,5.71
hgnetv2_b4,68.28,14.537,1,224,19.8
fbnetv3_b,68.27,14.548,1,256,8.6
repvit_m1_1,68.27,14.547,1,224,8.8
pit_s_distilled_224,68.06,14.584,1,224,24.04
convnext_nano_ols,68.05,14.592,1,224,15.65
mobilevitv2_150,67.96,14.608,1,256,10.59
hgnet_tiny,67.68,14.668,1,288,14.74
convnextv2_nano,67.59,14.691,1,224,15.62
fbnetv3_d,67.58,14.695,1,224,10.31
repvit_m2,67.43,14.729,1,224,8.8
mobilevit_xs,67.34,14.746,1,256,2.32
efficientnet_b2,67.32,14.752,1,256,9.11
eca_resnet33ts,67.3,14.753,1,288,19.68
dpn68,67.16,14.781,1,224,12.61
repvit_m1_0,67.13,14.798,1,224,7.3
seresnet34,67.11,14.799,1,224,21.96
darknet21,67.05,14.81,1,256,20.86
crossvit_tiny_240,66.95,14.831,1,240,7.01
resnet34,66.86,14.855,1,288,21.8
res2net50_48w_2s,66.42,14.951,1,224,25.29
deit_small_patch16_224,66.3,14.97,1,224,22.05
edgenext_small_rw,66.23,14.99,1,320,7.83
convnext_femto_ols,66.17,15.011,1,288,5.23
xcit_nano_12_p16_384,66.05,15.042,1,384,3.05
xcit_tiny_12_p16_224,65.97,15.061,1,224,6.72
eca_vovnet39b,65.95,15.057,1,224,22.6
hgnetv2_b3,65.91,15.062,1,288,16.29
nf_ecaresnet26,65.82,15.089,1,224,16.0
dpn48b,65.5,15.164,1,224,9.13
nf_resnet26,65.5,15.158,1,224,16.0
tiny_vit_5m_224,65.5,15.16,1,224,12.08
repvit_m0_9,65.43,15.189,1,224,5.49
resnet34d,65.35,15.193,1,288,21.82
crossvit_9_240,65.34,15.205,1,240,8.55
vit_small_patch16_224,65.24,15.219,1,224,22.05
vit_small_patch32_384,65.21,15.227,1,384,22.92
legacy_seresnet34,65.08,15.266,1,224,21.96
ecaresnet26t,64.74,15.341,1,320,16.01
efficientformerv2_s1,64.64,15.371,1,224,6.19
levit_conv_384,64.63,15.366,1,224,39.13
deit_small_distilled_patch16_224,64.61,15.372,1,224,22.44
resnet50,64.51,15.39,1,224,25.56
fbnetv3_d,64.45,15.413,1,256,10.31
gcresnet33ts,64.41,15.421,1,256,19.88
xcit_nano_12_p8_224,64.37,15.435,1,224,3.05
mixer_b32_224,64.25,15.457,1,224,60.29
ecaresnet50t,64.06,15.502,1,160,25.57
deit3_small_patch16_224,64.01,15.52,1,224,22.06
rexnetr_300,63.86,15.548,1,224,34.81
resnetaa50,63.85,15.555,1,224,25.56
resnet50c,63.76,15.578,1,224,25.58
dla60,63.69,15.594,1,224,22.04
eva02_tiny_patch14_336,63.67,15.6,1,336,5.76
resnet50d,63.52,15.634,1,224,25.58
resnetaa34d,63.47,15.648,1,288,21.82
sehalonet33ts,63.29,15.693,1,256,13.69
tf_efficientnet_b1,63.15,15.73,1,240,7.79
eva02_tiny_patch14_224,63.08,15.756,1,224,5.5
convnext_nano,63.02,15.761,1,224,15.59
crossvit_9_dagger_240,63.01,15.768,1,240,8.78
resnet50t,62.97,15.772,1,224,25.57
regnetz_b16,62.94,15.784,1,288,9.72
mobilevitv2_175,62.88,15.796,1,256,14.25
gmixer_24_224,62.87,15.797,1,224,24.72
ese_vovnet39b,62.86,15.8,1,224,24.57
resnetv2_50,62.7,15.843,1,224,25.55
convnextv2_pico,62.49,15.9,1,224,9.07
regnety_016,62.47,15.905,1,224,11.2
convmixer_1024_20_ks9_p14,62.44,15.912,1,224,24.38
regnety_032,62.22,15.964,1,224,19.44
poolformerv2_s24,62.2,15.972,1,224,21.34
sebotnet33ts_256,62.0,16.018,1,256,13.7
resnext50_32x4d,61.88,16.049,1,288,25.03
resnetv2_50t,61.87,16.056,1,224,25.57
sedarknet21,61.82,16.069,1,256,20.95
poolformer_s24,61.78,16.078,1,224,21.39
legacy_seresnext50_32x4d,61.71,16.1,1,224,27.56
seresnet50,61.4,16.177,1,160,28.09
ecaresnet50d_pruned,61.19,16.232,1,288,19.94
seresnet33ts,61.19,16.237,1,288,19.78
regnetx_064,61.04,16.277,1,224,26.21
regnetz_c16,60.87,16.326,1,256,13.46
cs3darknet_focus_l,60.81,16.338,1,256,21.15
resnetv2_50d,60.71,16.364,1,224,25.57
rexnet_300,60.64,16.383,1,224,34.71
hgnetv2_b4,60.48,16.423,1,288,19.8
dpn68b,60.42,16.449,1,224,12.61
resnetaa50d,60.42,16.443,1,224,25.58
tf_efficientnetv2_b3,60.41,16.451,1,240,14.36
efficientnet_b2,60.08,16.541,1,288,9.11
resnext50d_32x4d,60.02,16.55,1,288,25.05
flexivit_small,59.88,16.587,1,240,22.06
gmlp_s16_224,59.87,16.6,1,224,19.42
resnet50s,59.72,16.639,1,224,25.68
cspresnet50,59.68,16.646,1,256,21.62
tf_efficientnet_b2,59.68,16.655,1,260,9.11
resnet51q,59.45,16.712,1,256,35.7
tf_mixnet_s,59.43,16.728,1,224,4.13
efficientformer_l3,59.35,16.753,1,224,31.41
hgnet_small,59.1,16.812,1,224,24.36
bat_resnext26ts,59.07,16.823,1,256,10.73
ecaresnet50d_pruned,59.0,16.833,1,224,19.94
convnext_tiny,58.9,16.87,1,224,28.59
efficientnet_lite4,58.86,16.881,1,380,13.01
gcresnet33ts,58.84,16.884,1,288,19.88
seresnet33ts,58.51,16.988,1,256,19.78
efficientvit_b2,58.48,16.994,1,224,24.33
seresnet34,58.46,17.003,1,288,21.96
visformer_small,58.42,17.01,1,224,40.22
cspresnet50d,58.36,17.027,1,256,21.64
resnetrs50,58.34,17.031,1,160,35.69
coat_lite_tiny,58.24,17.063,1,224,5.72
nf_regnet_b1,58.24,17.068,1,256,10.22
resnetblur50,58.22,17.07,1,224,25.56
efficientvit_b2,58.16,17.085,1,288,24.33
efficientnet_el_pruned,57.87,17.175,1,300,10.59
tf_efficientnet_el,57.67,17.232,1,300,10.59
nf_seresnet26,57.65,17.239,1,224,17.4
cs3darknet_l,57.64,17.242,1,256,21.16
repvgg_a2,57.52,17.278,1,224,28.21
inception_next_tiny,57.48,17.288,1,224,28.06
coatnet_pico_rw_224,57.46,17.295,1,224,10.85
efficientnet_el,57.41,17.313,1,300,10.59
nf_regnet_b1,57.28,17.357,1,288,10.22
ecaresnetlight,56.96,17.449,1,224,30.16
hrnet_w18_small,56.78,17.506,1,224,13.19
xcit_tiny_12_p16_384,56.22,17.686,1,384,6.72
resnetblur50d,56.13,17.711,1,224,25.58
ecaresnet50t,56.01,17.75,1,224,25.57
convnext_pico,55.92,17.778,1,288,9.05
efficientnet_cc_b1_8e,55.92,17.777,1,240,39.72
ghostnetv2_100,55.86,17.804,1,224,6.16
regnetv_040,55.71,17.841,1,224,20.64
tf_efficientnet_lite4,55.69,17.848,1,380,13.01
cs3darknet_focus_l,55.54,17.901,1,288,21.15
resnet50,55.49,17.917,1,288,25.56
efficientnet_b3_pruned,55.48,17.922,1,300,9.86
ghostnetv2_160,55.39,17.953,1,224,12.39
haloregnetz_b,55.34,17.964,1,224,11.68
ecaresnet50d,55.26,17.988,1,224,25.58
nf_regnet_b2,55.2,18.012,1,272,14.31
tf_efficientnet_cc_b1_8e,55.14,18.033,1,240,39.72
ghostnetv2_130,55.06,18.063,1,224,8.96
tiny_vit_11m_224,54.89,18.114,1,224,20.35
resnest50d_1s4x24d,54.69,18.175,1,224,25.68
vit_srelpos_small_patch16_224,54.55,18.224,1,224,21.97
cs3darknet_l,54.51,18.243,1,288,21.16
mixnet_s,54.48,18.254,1,224,4.13
convnextv2_pico,54.46,18.255,1,288,9.07
coat_lite_mini,54.28,18.316,1,224,11.01
regnetz_b16_evos,54.27,18.323,1,224,9.74
seresnet50,54.11,18.374,1,224,28.09
legacy_seresnet50,54.04,18.401,1,224,28.09
resnetv2_50d_frn,53.81,18.476,1,224,25.59
gcresnext50ts,53.8,18.481,1,256,15.67
convnext_tiny_hnf,53.73,18.504,1,224,28.59
efficientvit_b2,53.38,18.629,1,256,24.33
resnet50t,53.07,18.736,1,288,25.57
convnextv2_nano,52.9,18.794,1,288,15.62
seresnext50_32x4d,52.77,18.838,1,224,27.56
resnet50d,52.69,18.872,1,288,25.58
resnet51q,52.69,18.872,1,288,35.7
regnety_040,52.62,18.895,1,224,20.65
tf_efficientnetv2_b3,52.42,18.971,1,300,14.36
eva02_small_patch14_224,52.38,18.988,1,224,21.62
resmlp_24_224,52.29,19.017,1,224,30.02
nf_regnet_b2,52.27,19.021,1,240,14.31
efficientnet_b3,52.2,19.054,1,288,12.23
ecaresnet50t,52.11,19.079,1,288,25.57
convnextv2_tiny,52.1,19.083,1,224,28.64
mobilevitv2_200,51.97,19.13,1,256,18.45
regnetz_c16,51.96,19.141,1,320,13.46
fbnetv3_g,51.93,19.15,1,240,16.62
seresnet50t,51.84,19.184,1,224,28.1
resnest50d_4s2x40d,51.75,19.211,1,224,30.42
vit_relpos_small_patch16_rpn_224,51.59,19.279,1,224,21.97
twins_pcpvt_small,51.53,19.299,1,224,24.11
ecaresnet50t,51.5,19.31,1,256,25.57
nest_tiny,51.49,19.315,1,224,17.06
resnet61q,51.38,19.356,1,256,36.85
xcit_tiny_12_p8_224,51.12,19.456,1,224,6.71
resnetaa50,51.04,19.488,1,288,25.56
efficientnetv2_rw_t,50.79,19.588,1,224,13.65
vit_small_resnet26d_224,50.39,19.736,1,224,63.61
fbnetv3_g,50.35,19.756,1,288,16.62
vit_relpos_small_patch16_224,50.18,19.818,1,224,21.98
nest_tiny_jx,50.12,19.842,1,224,17.06
seresnext50_32x4d,50.07,19.866,1,288,27.56
resnetrs50,50.06,19.868,1,224,35.69
seresnetaa50d,49.92,19.926,1,224,28.11
gcresnext50ts,49.84,19.958,1,288,15.67
regnety_032,49.4,20.136,1,288,19.44
resnest50d,49.3,20.178,1,224,27.48
coatnet_bn_0_rw_224,49.25,20.193,1,224,27.44
regnetx_080,49.22,20.207,1,224,39.57
regnety_040,49.22,20.213,1,288,20.65
vovnet39a,49.21,20.212,1,224,22.6
ecaresnetlight,49.2,20.22,1,288,30.16
repvit_m3,48.97,20.319,1,224,10.68
deit3_medium_patch16_224,48.76,20.407,1,224,38.85
vovnet57a,48.68,20.434,1,224,36.64
ese_vovnet39b,48.64,20.447,1,288,24.57
edgenext_base,48.62,20.459,1,320,18.51
rexnetr_300,48.55,20.49,1,288,34.81
resnetaa50d,48.42,20.545,1,288,25.58
regnetz_b16_evos,48.25,20.622,1,288,9.74
twins_svt_small,48.23,20.629,1,224,24.06
cspdarknet53,48.09,20.684,1,256,27.64
lambda_resnet50ts,47.99,20.727,1,256,21.54
tf_efficientnet_b3,47.96,20.744,1,300,12.23
dla102x,47.88,20.779,1,224,26.31
resnetblur50,47.82,20.806,1,288,25.56
efficientnet_b3,47.81,20.812,1,320,12.23
nf_regnet_b3,47.8,20.816,1,288,18.59
dpn68b,47.67,20.87,1,288,12.61
nextvit_small,47.64,20.884,1,224,31.76
regnetv_040,47.57,20.914,1,288,20.64
ecaresnet50d,47.14,21.106,1,288,25.58
res2net50_26w_4s,47.12,21.115,1,224,25.7
resnetv2_50,47.07,21.139,1,288,25.55
vit_base_patch32_224,47.01,21.161,1,224,88.22
resnetblur50d,46.99,21.17,1,288,25.58
cs3sedarknet_l,46.91,21.21,1,256,21.91
botnet50ts_256,46.78,21.266,1,256,22.74
res2next50,46.65,21.326,1,224,24.67
resnet61q,46.55,21.374,1,288,36.85
convnext_nano,46.5,21.397,1,288,15.59
mobilevit_s,46.41,21.44,1,256,5.58
tiny_vit_21m_224,46.36,21.465,1,224,33.22
ese_vovnet57b,46.33,21.472,1,224,38.61
coatnet_0_rw_224,46.3,21.486,1,224,27.44
res2net50d,46.29,21.499,1,224,25.72
vit_base_patch32_clip_quickgelu_224,46.24,21.52,1,224,87.85
convnext_nano_ols,46.22,21.535,1,288,15.65
regnety_080,46.14,21.566,1,224,39.18
vit_base_patch32_clip_224,46.06,21.604,1,224,88.22
coatnet_0_224,46.05,21.609,1,224,25.04
coatnet_nano_cc_224,46.01,21.631,1,224,13.76
eca_nfnet_l0,45.97,21.644,1,224,24.14
fastvit_sa24,45.96,21.652,1,256,21.55
regnety_080_tv,45.96,21.647,1,224,39.38
mobileone_s0,45.88,21.695,1,224,5.29
pvt_v2_b1,45.54,21.85,1,224,14.01
pvt_v2_b2_li,45.54,21.854,1,224,22.55
legacy_xception,45.5,21.868,1,299,22.86
dla60_res2next,45.49,21.875,1,224,17.03
efficientnetv2_rw_t,45.15,22.048,1,288,13.65
convnext_tiny,45.14,22.046,1,288,28.59
crossvit_15_240,45.08,22.079,1,240,27.53
regnetz_c16_evos,45.08,22.077,1,256,13.49
vit_base_patch32_clip_256,44.73,22.25,1,256,87.86
dla60_res2net,44.68,22.274,1,224,20.85
regnety_064,44.51,22.357,1,224,30.58
resnet101,44.47,22.382,1,160,44.55
tresnet_m,44.45,22.384,1,224,31.39
convit_small,44.44,22.401,1,224,27.78
hgnet_small,44.41,22.409,1,288,24.36
swin_s3_tiny_224,44.37,22.427,1,224,28.33
poolformerv2_s36,44.28,22.475,1,224,30.79
edgenext_base,44.14,22.539,1,256,18.51
skresnet34,44.12,22.561,1,224,22.28
skresnet50d,44.09,22.573,1,224,25.82
seresnet50t,44.06,22.589,1,288,28.1
vit_medium_patch16_gap_240,44.06,22.584,1,240,44.4
mvitv2_tiny,44.03,22.604,1,224,24.17
seresnet50,43.99,22.623,1,288,28.09
dla102,43.92,22.659,1,224,33.27
volo_d1_224,43.89,22.678,1,224,26.63
crossvit_small_240,43.82,22.717,1,240,26.86
nf_regnet_b3,43.8,22.729,1,320,18.59
regnetv_064,43.75,22.747,1,224,30.58
gc_efficientnetv2_rw_t,43.67,22.802,1,224,13.68
skresnet50,43.6,22.83,1,224,25.8
davit_tiny,43.54,22.855,1,224,28.36
coatnet_nano_rw_224,43.41,22.927,1,224,15.14
halonet50ts,43.38,22.944,1,256,22.73
gcvit_xxtiny,43.37,22.961,1,224,12.0
nfnet_l0,43.29,22.99,1,224,35.07
tnt_s_patch16_224,43.16,23.057,1,224,23.76
poolformer_s36,43.12,23.089,1,224,30.86
cs3sedarknet_l,42.91,23.198,1,288,21.91
focalnet_tiny_srf,42.82,23.243,1,224,28.43
vit_srelpos_medium_patch16_224,42.76,23.275,1,224,38.74
darknetaa53,42.55,23.393,1,256,36.02
seresnetaa50d,42.5,23.422,1,288,28.11
vit_medium_patch16_gap_256,42.42,23.467,1,256,38.86
resnet101,42.27,23.552,1,176,44.55
coatnet_rmlp_nano_rw_224,42.23,23.574,1,224,15.15
resnext101_32x4d,42.11,23.639,1,224,44.18
mixnet_m,42.06,23.673,1,224,5.01
tf_mixnet_m,41.96,23.726,1,224,5.01
cs3darknet_focus_x,41.88,23.77,1,256,35.02
mobilevitv2_150,41.85,23.785,1,384,10.59
cs3sedarknet_xdw,41.8,23.817,1,256,21.6
regnetx_120,41.78,23.827,1,224,46.11
nf_seresnet50,41.51,23.981,1,224,28.09
ecaresnet50t,41.38,24.05,1,320,25.57
mixer_b16_224,41.38,24.054,1,224,59.88
crossvit_15_dagger_240,41.36,24.075,1,240,28.21
vit_relpos_medium_patch16_rpn_224,41.3,24.105,1,224,38.73
swinv2_cr_tiny_ns_224,41.2,24.165,1,224,28.33
maxvit_pico_rw_256,41.14,24.206,1,256,7.46
regnetz_040,41.13,24.202,1,256,27.12
swinv2_cr_tiny_224,41.08,24.228,1,224,28.33
regnety_040_sgn,41.06,24.249,1,224,20.65
caformer_s18,41.01,24.277,1,224,26.34
xception41p,40.98,24.291,1,299,26.91
coatnet_rmlp_0_rw_224,40.92,24.326,1,224,27.45
nf_resnet50,40.88,24.358,1,256,25.56
vit_base_patch32_plus_256,40.85,24.373,1,256,119.48
cs3darknet_x,40.8,24.4,1,256,35.05
xception41,40.78,24.416,1,299,26.97
efficientvit_l1,40.76,24.423,1,224,52.65
lamhalobotnet50ts_256,40.65,24.492,1,256,22.57
nf_ecaresnet50,40.52,24.572,1,224,25.56
cait_xxs24_224,40.5,24.591,1,224,11.96
regnetz_040_h,40.36,24.669,1,256,28.94
efficientformerv2_s2,40.22,24.759,1,224,12.71
darknetaa53,40.2,24.77,1,288,36.02
densenetblur121d,40.15,24.804,1,224,8.0
gcresnet50t,40.12,24.822,1,256,25.9
swin_tiny_patch4_window7_224,40.06,24.855,1,224,28.29
inception_v3,39.82,25.009,1,299,23.83
eca_nfnet_l0,39.61,25.137,1,288,24.14
convnextv2_tiny,39.59,25.153,1,288,28.64
efficientnet_b0_gn,39.48,25.225,1,224,5.29
repvit_m1_5,39.48,25.224,1,224,14.64
cspresnet50w,39.38,25.285,1,256,28.12
regnetz_d8,38.99,25.538,1,256,23.37
ecaresnet101d_pruned,38.92,25.592,1,224,24.88
darknet53,38.87,25.617,1,256,41.61
halo2botnet50ts_256,38.72,25.719,1,256,22.64
nf_resnet50,38.46,25.896,1,288,25.56
efficientnet_b4,38.45,25.9,1,320,19.34
efficientnet_b0_g8_gn,38.42,25.922,1,224,6.56
vit_relpos_medium_patch16_cls_224,38.33,25.983,1,224,38.76
tf_mixnet_l,38.28,26.022,1,224,7.33
regnetz_c16_evos,38.24,26.043,1,320,13.49
skresnext50_32x4d,38.13,26.115,1,224,27.48
resnet101,38.06,26.169,1,224,44.55
resnet101c,37.88,26.292,1,224,44.57
nfnet_l0,37.8,26.352,1,288,35.07
resnet101d,37.73,26.399,1,224,44.57
mixnet_l,37.53,26.547,1,224,7.33
regnetz_d32,37.49,26.567,1,256,27.58
crossvit_18_240,37.48,26.576,1,240,43.27
efficientnetv2_s,37.46,26.592,1,288,21.46
maxxvitv2_nano_rw_256,37.26,26.731,1,256,23.7
cs3darknet_x,37.22,26.755,1,288,35.05
ecaresnet101d_pruned,37.16,26.807,1,288,24.88
coatnext_nano_rw_224,37.09,26.854,1,224,14.7
ese_vovnet39b_evos,37.08,26.863,1,224,24.58
xcit_small_12_p16_224,36.97,26.945,1,224,26.25
regnety_120,36.94,26.957,1,224,51.82
gcresnet50t,36.9,26.992,1,288,25.9
resnetv2_101,36.81,27.061,1,224,44.54
levit_512,36.8,27.068,1,224,95.17
resnetv2_101d,36.79,27.075,1,224,44.56
regnety_080,36.56,27.243,1,288,39.18
regnetz_d8_evos,36.49,27.305,1,256,23.46
maxvit_rmlp_pico_rw_256,36.46,27.332,1,256,7.52
dla102x2,36.45,27.33,1,224,41.28
resnetaa101d,36.43,27.345,1,224,44.57
densenet121,36.42,27.35,1,224,7.98
resnet101s,36.35,27.401,1,224,44.67
levit_conv_512,36.19,27.525,1,224,95.17
regnety_064,36.1,27.593,1,288,30.58
vit_relpos_medium_patch16_224,36.08,27.607,1,224,38.75
selecsls60,35.99,27.68,1,224,30.67
convnext_tiny_hnf,35.91,27.736,1,288,28.59
xcit_nano_12_p8_384,35.86,27.782,1,384,3.05
xcit_tiny_24_p16_224,35.79,27.846,1,224,12.12
tf_efficientnetv2_s,35.77,27.849,1,300,21.46
resnet50_gn,35.65,27.945,1,224,25.56
vit_base_resnet26d_224,35.65,27.939,1,224,101.4
resnetv2_50d_evos,35.51,28.052,1,224,25.59
resnetv2_50d_gn,35.48,28.077,1,224,25.57
convnext_tiny,35.4,28.138,1,384,28.59
levit_conv_512d,35.36,28.174,1,224,92.5
efficientnetv2_rw_s,35.35,28.184,1,288,23.94
seresnext101_32x4d,35.28,28.24,1,224,48.96
regnetx_160,35.27,28.238,1,224,54.28
crossvit_18_dagger_240,35.24,28.275,1,240,44.27
resmlp_36_224,35.24,28.273,1,224,44.69
levit_512d,35.22,28.283,1,224,92.5
legacy_seresnext101_32x4d,35.18,28.313,1,224,48.96
resnetblur101d,35.12,28.366,1,224,44.57
maxvit_nano_rw_256,35.11,28.365,1,256,15.45
nf_regnet_b4,35.02,28.45,1,320,30.21
hgnetv2_b5,34.92,28.527,1,224,39.57
darknet53,34.91,28.539,1,288,41.61
vit_relpos_base_patch32_plus_rpn_256,34.86,28.579,1,256,119.42
resnet101d,34.76,28.665,1,256,44.57
mobilevitv2_175,34.66,28.741,1,384,14.25
regnetv_064,34.6,28.79,1,288,30.58
vit_medium_patch16_reg4_256,34.54,28.846,1,256,38.87
vit_medium_patch16_reg4_gap_256,34.51,28.871,1,256,38.87
efficientvit_b3,34.48,28.893,1,256,48.65
vit_small_r26_s32_224,34.26,29.081,1,224,36.43
hrnet_w18_small_v2,34.09,29.227,1,224,15.6
gcvit_xtiny,34.04,29.274,1,224,19.98
repvgg_b1g4,33.94,29.354,1,224,39.97
nextvit_base,33.92,29.369,1,224,44.82
convformer_s18,33.87,29.421,1,224,26.77
twins_pcpvt_base,33.77,29.509,1,224,43.83
regnetz_040,33.51,29.736,1,320,27.12
res2net50_26w_6s,33.51,29.737,1,224,37.05
regnety_040_sgn,33.5,29.739,1,288,20.65
dpn92,33.38,29.853,1,224,37.67
regnetz_040_h,33.37,29.86,1,320,28.94
efficientvit_l2,33.35,29.874,1,256,63.71
ecaresnet101d,33.18,30.033,1,224,44.57
resnetrs101,33.16,30.049,1,192,63.62
vit_small_resnet50d_s16_224,33.15,30.054,1,224,57.53
selecsls42,32.94,30.251,1,224,30.35
vit_small_patch16_384,32.89,30.299,1,384,22.2
efficientvit_b3,32.71,30.465,1,288,48.65
seresnet101,32.53,30.638,1,224,49.33
legacy_seresnet101,32.5,30.668,1,224,49.33
resnet101,32.39,30.768,1,288,44.55
resnet152,32.27,30.879,1,160,60.19
inception_next_small,32.25,30.901,1,224,49.37
efficientvit_b3,32.15,30.999,1,224,48.65
coat_lite_small,32.05,31.097,1,224,19.84
cs3sedarknet_x,32.04,31.1,1,256,35.4
efficientnet_b3_gn,32.01,31.134,1,288,11.73
poolformerv2_m36,32.0,31.141,1,224,56.08
vit_base_patch32_384,31.93,31.21,1,384,88.3
nf_regnet_b4,31.88,31.263,1,384,30.21
fastvit_sa36,31.82,31.317,1,256,31.53
efficientnet_b4,31.76,31.379,1,384,19.34
densenetblur121d,31.68,31.462,1,288,8.0
cs3edgenet_x,31.66,31.478,1,256,47.82
resnet152,31.62,31.519,1,176,60.19
repvit_m2_3,31.61,31.53,1,224,23.69
poolformer_m36,31.49,31.647,1,224,56.17
selecsls60b,31.42,31.719,1,224,32.77
vit_base_patch16_rpn_224,31.41,31.734,1,224,86.54
deit3_small_patch16_384,31.29,31.856,1,384,22.21
focalnet_tiny_lrf,31.28,31.863,1,224,28.65
tf_efficientnet_b4,31.26,31.884,1,380,19.34
res2net50_14w_8s,31.21,31.935,1,224,25.06
convnext_small,31.19,31.95,1,224,50.22
hgnetv2_b5,31.15,31.995,1,288,39.57
maxvit_rmlp_nano_rw_256,31.14,31.993,1,256,15.5
xcit_tiny_24_p16_384,31.09,32.069,1,384,12.12
efficientvit_l2,31.04,32.103,1,224,63.71
resnet50_gn,30.96,32.194,1,288,25.56
efficientvit_l2,30.9,32.252,1,288,63.71
selecsls42b,30.8,32.368,1,224,32.46
vit_base_patch32_clip_384,30.63,32.537,1,384,88.3
resnetv2_50x1_bit,30.6,32.565,1,224,25.55
nest_small,30.32,32.867,1,224,38.35
vit_base_patch16_gap_224,30.08,33.14,1,224,86.57
deit3_base_patch16_224,30.04,33.181,1,224,86.59
vit_base_patch16_clip_quickgelu_224,30.04,33.179,1,224,86.19
mixnet_xl,30.03,33.189,1,224,11.9
efficientnetv2_s,29.98,33.254,1,384,21.46
vit_base_patch16_224_miil,29.95,33.282,1,224,94.4
efficientformer_l7,29.93,33.307,1,224,82.23
nfnet_f0,29.92,33.319,1,192,71.49
vit_base_patch16_224,29.92,33.31,1,224,86.57
dm_nfnet_f0,29.79,33.469,1,192,71.49
deit_base_patch16_224,29.77,33.481,1,224,86.57
gc_efficientnetv2_rw_t,29.75,33.501,1,288,13.68
eva02_small_patch14_336,29.68,33.591,1,336,22.13
resnetaa101d,29.64,33.631,1,288,44.57
nest_small_jx,29.62,33.655,1,224,38.35
cs3sedarknet_x,29.53,33.76,1,288,35.4
convnextv2_tiny,29.51,33.772,1,384,28.64
tf_efficientnetv2_s,29.51,33.78,1,384,21.46
mvitv2_small,29.48,33.811,1,224,34.87
resnext101_32x8d,29.47,33.824,1,176,88.79
pit_b_224,29.44,33.855,1,224,73.76
repvgg_b1,29.33,33.984,1,224,57.42
maxxvit_rmlp_nano_rw_256,29.32,33.998,1,256,16.78
efficientnet_b3_g8_gn,29.31,34.011,1,288,14.25
pit_b_distilled_224,29.26,34.069,1,224,74.79
deit_base_distilled_patch16_224,29.13,34.224,1,224,87.34
xcit_small_12_p16_384,29.13,34.224,1,384,26.25
convnextv2_small,29.09,34.269,1,224,50.32
tresnet_v2_l,29.06,34.305,1,224,46.17
resnetblur101d,29.04,34.324,1,288,44.57
regnetz_d8,29.03,34.34,1,320,23.37
vit_base_patch16_clip_224,29.03,34.345,1,224,86.57
nextvit_small,28.84,34.564,1,384,31.76
vit_base_patch16_siglip_224,28.82,34.585,1,224,92.88
swinv2_tiny_window8_256,28.77,34.644,1,256,28.35
levit_conv_384_s8,28.66,34.782,1,224,39.12
tresnet_l,28.61,34.843,1,224,55.99
efficientformerv2_l,28.56,34.904,1,224,26.32
xception65,28.52,34.957,1,299,39.92
resnetv2_50d_evos,28.46,35.027,1,288,25.59
resnetv2_50d_gn,28.46,35.032,1,288,25.57
resnetv2_101,28.42,35.084,1,288,44.54
resnet152c,28.31,35.214,1,224,60.21
resnet101d,28.25,35.287,1,320,44.57
regnetz_d32,28.23,35.315,1,320,27.58
fastvit_ma36,28.2,35.351,1,256,44.07
vit_base_resnet50d_224,28.2,35.357,1,224,110.97
xcit_tiny_24_p8_224,28.17,35.389,1,224,12.11
densenet169,28.15,35.419,1,224,14.15
efficientnet_b3_gn,28.07,35.515,1,320,11.73
vit_base_patch16_xp_224,28.0,35.611,1,224,86.51
ecaresnet101d,27.96,35.651,1,288,44.57
vit_base_patch32_clip_448,27.84,35.815,1,448,88.34
efficientnetv2_rw_s,27.78,35.893,1,384,23.94
resnet152s,27.77,35.899,1,224,60.32
cs3edgenet_x,27.67,36.025,1,288,47.82
xception65p,27.58,36.151,1,299,39.82
resnest101e,27.47,36.301,1,256,48.28
densenet121,27.43,36.356,1,288,7.98
convnextv2_nano,27.42,36.364,1,384,15.62
regnety_120,27.36,36.442,1,288,51.82
regnetz_d8_evos,27.33,36.481,1,320,23.46
cait_xxs36_224,27.32,36.503,1,224,17.3
tnt_b_patch16_224,27.31,36.501,1,224,65.41
dla169,27.28,36.548,1,224,53.39
coatnet_1_rw_224,27.21,36.649,1,224,41.72
flexivit_base,27.18,36.682,1,240,86.59
ese_vovnet99b,27.13,36.754,1,224,63.2
resnet152,26.95,36.992,1,224,60.19
resnet152d,26.94,37.016,1,224,60.21
seresnet101,26.8,37.206,1,288,49.33
beitv2_base_patch16_224,26.72,37.316,1,224,86.53
nf_resnet101,26.64,37.432,1,224,44.55
beit_base_patch16_224,26.63,37.447,1,224,86.53
twins_svt_base,26.61,37.465,1,224,56.07
maxvit_tiny_rw_224,26.58,37.51,1,224,29.06
resnetv2_152,26.55,37.553,1,224,60.19
regnety_160,26.51,37.61,1,224,83.59
vit_relpos_base_patch16_rpn_224,26.45,37.7,1,224,86.41
resnetv2_152d,26.15,38.137,1,224,60.2
coatnet_rmlp_1_rw_224,26.13,38.166,1,224,41.69
cs3se_edgenet_x,26.07,38.25,1,256,50.72
regnetz_e8,26.06,38.268,1,256,57.7
nextvit_large,26.03,38.313,1,224,57.87
samvit_base_patch16_224,25.96,38.411,1,224,86.46
resnext101_64x4d,25.92,38.47,1,224,83.46
vit_relpos_base_patch16_224,25.89,38.52,1,224,86.43
nf_ecaresnet101,25.87,38.542,1,224,44.55
resnetrs101,25.82,38.619,1,288,63.62
pvt_v2_b2,25.81,38.645,1,224,25.36
res2net50_26w_8s,25.76,38.713,1,224,48.4
eca_nfnet_l1,25.7,38.803,1,256,41.41
caformer_s36,25.66,38.862,1,224,39.3
res2net101d,25.65,38.872,1,224,45.23
efficientnet_b3_g8_gn,25.52,39.078,1,320,14.25
res2net101_26w_4s,25.5,39.108,1,224,45.21
inception_v4,25.41,39.25,1,299,42.68
coatnet_1_224,25.35,39.33,1,224,42.23
convmixer_768_32,25.35,39.337,1,224,21.11
xcit_small_24_p16_224,25.29,39.432,1,224,47.67
coatnet_rmlp_1_rw2_224,25.19,39.588,1,224,41.72
resnet152d,25.12,39.699,1,256,60.21
nfnet_f0,25.1,39.741,1,256,71.49
poolformerv2_m48,25.05,39.803,1,224,73.35
vit_base_r26_s32_224,25.05,39.807,1,224,101.38
maxvit_tiny_rw_256,25.04,39.834,1,256,29.07
tresnet_m,24.96,39.959,1,448,31.39
vit_relpos_base_patch16_cls_224,24.94,39.997,1,224,86.43
resnext101_32x8d,24.91,40.03,1,224,88.79
vit_relpos_base_patch16_clsgap_224,24.86,40.115,1,224,86.43
xcit_tiny_12_p8_384,24.76,40.28,1,384,6.71
dm_nfnet_f0,24.74,40.318,1,256,71.49
vit_base_patch16_reg4_gap_256,24.62,40.507,1,256,86.62
dpn98,24.48,40.74,1,224,61.57
wide_resnet50_2,24.46,40.774,1,176,68.88
gmlp_b16_224,24.07,41.431,1,224,73.08
vit_base_patch16_siglip_256,24.05,41.476,1,256,92.93
gcvit_tiny,23.98,41.603,1,224,28.22
levit_384_s8,23.87,41.794,1,224,39.12
davit_small,23.68,42.124,1,224,49.75
mixnet_xxl,23.56,42.341,1,224,23.96
poolformer_m48,23.53,42.396,1,224,73.47
twins_pcpvt_large,23.52,42.407,1,224,60.99
eva02_base_patch16_clip_224,23.47,42.505,1,224,86.26
resnet200,23.46,42.51,1,224,64.67
nf_seresnet101,23.38,42.658,1,224,49.33
maxvit_tiny_pm_256,23.24,42.933,1,256,30.09
efficientvit_l2,23.17,43.043,1,384,63.71
xcit_small_12_p8_224,23.13,43.134,1,224,26.21
resnet152,23.07,43.239,1,288,60.19
seresnext101_64x4d,23.04,43.291,1,224,88.23
convformer_s36,22.99,43.386,1,224,40.01
inception_next_base,22.95,43.455,1,224,86.67
repvgg_b2g4,22.93,43.506,1,224,61.76
volo_d2_224,22.88,43.599,1,224,58.68
tresnet_xl,22.85,43.645,1,224,78.44
maxxvit_rmlp_tiny_rw_256,22.79,43.777,1,256,29.64
hgnet_base,22.77,43.808,1,224,71.58
focalnet_small_srf,22.7,43.939,1,224,49.89
seresnet152,22.65,44.045,1,224,66.82
convnext_base,22.56,44.224,1,224,88.59
convnext_small,22.45,44.442,1,288,50.22
maxvit_tiny_tf_224,22.41,44.515,1,224,30.92
xception71,22.39,44.561,1,299,42.34
mobilevitv2_200,22.37,44.598,1,384,18.45
mvitv2_small_cls,22.22,44.891,1,224,34.87
cait_s24_224,22.13,45.067,1,224,46.92
legacy_seresnet152,22.1,45.142,1,224,66.82
swinv2_cr_small_224,22.07,45.196,1,224,49.7
selecsls84,22.06,45.23,1,224,50.95
cs3se_edgenet_x,21.96,45.423,1,320,50.72
seresnext101_32x8d,21.85,45.669,1,224,93.57
seresnext101d_32x8d,21.84,45.683,1,224,93.59
swinv2_cr_small_ns_224,21.8,45.762,1,224,49.7
vit_small_patch8_224,21.78,45.8,1,224,21.67
caformer_s18,21.72,45.93,1,384,26.34
nf_regnet_b5,21.71,45.963,1,384,49.74
vit_small_r26_s32_384,21.54,46.309,1,384,36.47
crossvit_base_240,21.5,46.397,1,240,105.03
inception_resnet_v2,21.5,46.408,1,299,55.84
swin_small_patch4_window7_224,21.43,46.55,1,224,49.61
densenet201,21.3,46.854,1,224,20.01
swinv2_tiny_window16_256,21.3,46.85,1,256,28.35
wide_resnet50_2,21.3,46.84,1,224,68.88
volo_d1_384,21.29,46.867,1,384,26.78
vit_medium_patch16_gap_384,21.25,46.957,1,384,39.03
convit_base,21.22,47.014,1,224,86.54
pvt_v2_b3,21.2,47.06,1,224,45.24
seresnextaa101d_32x8d,21.16,47.142,1,224,93.59
hgnetv2_b6,21.15,47.171,1,224,75.26
vit_small_patch16_18x2_224,21.11,47.258,1,224,64.67
nest_base_jx,21.09,47.301,1,224,67.72
resnet200d,21.09,47.302,1,256,64.69
eca_nfnet_l1,21.05,47.388,1,320,41.41
densenet161,21.02,47.463,1,224,28.68
nest_base,20.8,47.968,1,224,67.72
focalnet_small_lrf,20.74,48.098,1,224,50.34
gcvit_small,20.74,48.118,1,224,51.09
maxvit_rmlp_tiny_rw_256,20.72,48.148,1,256,29.15
seresnet152d,20.72,48.153,1,256,66.84
resnet152d,20.71,48.179,1,320,60.21
nextvit_base,20.66,48.299,1,384,44.82
vit_small_patch16_36x1_224,20.65,48.32,1,224,64.67
efficientnet_b5,20.64,48.335,1,416,30.39
maxvit_rmlp_small_rw_224,20.49,48.705,1,224,64.9
resnetrs152,20.48,48.724,1,256,86.62
resnext101_64x4d,20.46,48.756,1,288,83.46
mvitv2_base,20.41,48.893,1,224,51.47
convnextv2_base,20.33,49.071,1,224,88.72
regnety_160,20.32,49.106,1,288,83.59
hrnet_w18_ssld,20.05,49.77,1,224,21.3
hrnet_w18,19.54,51.074,1,224,21.3
crossvit_15_dagger_408,19.4,51.437,1,408,28.5
mixer_l32_224,19.37,51.507,1,224,206.94
maxvit_small_tf_224,19.35,51.563,1,224,68.93
regnetz_e8,19.29,51.743,1,320,57.7
efficientnetv2_m,19.18,52.035,1,320,54.14
tiny_vit_21m_384,19.1,52.268,1,384,21.23
convformer_s18,19.06,52.354,1,384,26.77
resnet200,19.04,52.414,1,288,64.67
eva02_base_patch14_224,18.97,52.61,1,224,85.76
convnext_base,18.94,52.694,1,256,88.59
caformer_m36,18.93,52.724,1,224,56.2
halonet_h1,18.91,52.787,1,256,8.1
efficientnet_b5,18.89,52.829,1,448,30.39
seresnet152,18.79,53.123,1,288,66.82
twins_svt_large,18.76,53.204,1,224,99.27
wide_resnet50_2,18.74,53.249,1,288,68.88
dpn131,18.71,53.352,1,224,79.25
swin_s3_small_224,18.71,53.329,1,224,49.74
vit_base_patch16_plus_240,18.67,53.459,1,240,117.56
convnext_small,18.55,53.795,1,384,50.22
nf_regnet_b5,18.54,53.841,1,456,49.74
ecaresnet200d,18.27,54.62,1,256,64.69
xcit_medium_24_p16_224,18.21,54.821,1,224,84.4
hrnet_w32,18.13,55.048,1,224,41.23
regnetx_320,18.12,55.073,1,224,107.81
repvgg_b2,17.92,55.687,1,224,89.02
efficientnetv2_rw_m,17.89,55.798,1,320,53.24
focalnet_base_srf,17.67,56.484,1,224,88.15
swinv2_cr_small_ns_256,17.64,56.598,1,256,49.7
coat_tiny,17.45,57.214,1,224,5.5
levit_conv_512_s8,17.38,57.446,1,224,74.05
levit_512_s8,17.36,57.485,1,224,74.05
dpn107,17.34,57.575,1,224,86.92
seresnext101_32x8d,17.3,57.703,1,288,93.57
coatnet_2_rw_224,17.27,57.778,1,224,73.87
convformer_m36,17.23,57.93,1,224,57.05
swin_s3_base_224,17.18,58.095,1,224,71.13
davit_base,17.13,58.254,1,224,87.95
swinv2_cr_base_224,16.91,59.034,1,224,87.88
seresnet152d,16.86,59.213,1,320,66.84
hgnetv2_b6,16.82,59.354,1,288,75.26
seresnext101d_32x8d,16.8,59.399,1,288,93.59
resnet200d,16.63,60.036,1,320,64.69
swinv2_cr_base_ns_224,16.59,60.178,1,224,87.88
coat_lite_medium,16.58,60.196,1,224,44.57
resnetrs200,16.57,60.229,1,256,93.21
hgnet_base,16.53,60.378,1,288,71.58
cait_xxs24_384,16.5,60.52,1,384,12.03
seresnextaa101d_32x8d,16.44,60.712,1,288,93.59
focalnet_base_lrf,16.42,60.799,1,224,88.75
volo_d3_224,16.39,60.905,1,224,86.33
vit_relpos_base_patch16_plus_240,16.38,60.949,1,240,117.38
wide_resnet101_2,16.37,60.994,1,176,126.89
repvgg_b3g4,16.31,61.206,1,224,83.83
hrnet_w40,16.28,61.301,1,224,57.56
tf_efficientnet_b5,16.28,61.33,1,456,30.39
ecaresnet200d,16.21,61.594,1,288,64.69
vit_base_r50_s16_224,16.2,61.605,1,224,97.89
hrnet_w18_ssld,16.19,61.65,1,288,21.3
seresnet200d,16.19,61.664,1,256,71.86
dm_nfnet_f1,16.17,61.746,1,224,132.63
maxvit_rmlp_small_rw_256,16.12,61.934,1,256,64.9
coatnet_2_224,16.05,62.19,1,224,74.68
coatnet_rmlp_2_rw_224,16.05,62.216,1,224,73.88
hrnet_w30,15.98,62.476,1,224,37.71
swin_base_patch4_window7_224,15.92,62.688,1,224,87.77
hrnet_w48,15.8,63.193,1,224,77.47
xcit_small_24_p16_384,15.73,63.481,1,384,47.67
mvitv2_base_cls,15.67,63.721,1,224,65.44
hrnet_w48_ssld,15.62,63.92,1,224,77.47
resnetv2_101x1_bit,15.5,64.422,1,224,44.54
vit_large_patch32_224,15.38,64.898,1,224,305.51
nfnet_f1,15.31,65.221,1,224,132.63
tf_efficientnetv2_m,15.27,65.378,1,384,54.14
pvt_v2_b4,15.22,65.611,1,224,62.56
eca_nfnet_l2,15.2,65.695,1,320,56.72
crossvit_18_dagger_408,15.18,65.761,1,408,44.61
resnetrs152,15.16,65.876,1,320,86.62
sequencer2d_s,15.13,65.982,1,224,27.65
swinv2_small_window8_256,15.12,66.049,1,256,49.73
caformer_b36,14.81,67.42,1,224,98.75
vit_so150m_patch16_reg4_gap_256,14.79,67.533,1,256,134.13
hrnet_w44,14.76,67.633,1,224,67.06
pvt_v2_b5,14.76,67.666,1,224,81.96
swinv2_base_window12_192,14.64,68.185,1,192,109.28
seresnet200d,14.49,68.9,1,288,71.86
nextvit_large,14.45,69.101,1,384,57.87
seresnextaa101d_32x8d,14.44,69.13,1,320,93.59
coat_mini,14.39,69.372,1,224,10.34
efficientnetv2_m,14.33,69.663,1,416,54.14
wide_resnet101_2,14.31,69.771,1,224,126.89
tresnet_l,14.3,69.826,1,448,55.99
regnety_160,14.2,70.322,1,384,83.59
vit_so150m_patch16_reg4_map_256,14.19,70.354,1,256,141.48
convnext_base,14.1,70.818,1,288,88.59
resnetv2_50x1_bit,13.95,71.57,1,448,25.55
convnext_large,13.92,71.749,1,224,197.77
regnety_320,13.91,71.795,1,224,145.05
resnetrs200,13.77,72.49,1,320,93.21
coat_small,13.71,72.826,1,224,21.69
maxxvit_rmlp_small_rw_256,13.61,73.351,1,256,66.01
xcit_tiny_24_p8_384,13.54,73.776,1,384,12.11
gcvit_base,13.34,74.838,1,224,90.32
hrnet_w48_ssld,13.24,75.442,1,288,77.47
swinv2_base_window8_256,13.0,76.791,1,256,87.92
inception_next_base,12.99,76.866,1,384,86.67
xcit_small_24_p8_224,12.99,76.888,1,224,47.63
convformer_s36,12.84,77.75,1,384,40.01
convnextv2_base,12.83,77.812,1,288,88.72
efficientnetv2_rw_m,12.83,77.808,1,416,53.24
legacy_senet154,12.83,77.84,1,224,115.09
convnextv2_large,12.71,78.563,1,224,197.96
convformer_b36,12.64,79.028,1,224,99.88
resnetrs270,12.54,79.637,1,256,129.86
senet154,12.54,79.615,1,224,115.09
resnest200e,12.5,79.914,1,320,70.2
repvgg_b3,12.24,81.603,1,224,123.09
swinv2_small_window16_256,12.22,81.758,1,256,49.73
dm_nfnet_f1,12.19,81.897,1,320,132.63
vit_small_patch14_reg4_dinov2,12.18,81.993,1,518,22.06
eca_nfnet_l2,12.14,82.304,1,384,56.72
vit_small_patch14_dinov2,12.0,83.198,1,518,22.06
xcit_large_24_p16_224,12.0,83.236,1,224,189.1
efficientvit_l3,11.82,84.485,1,224,246.04
caformer_s36,11.81,84.544,1,384,39.3
tf_efficientnetv2_m,11.71,85.301,1,480,54.14
convnext_base,11.68,85.493,1,320,88.59
seresnet269d,11.66,85.618,1,256,113.67
nfnet_f1,11.65,85.748,1,320,132.63
convnext_large_mlp,11.64,85.831,1,256,200.13
hrnet_w64,11.56,86.429,1,224,128.06
convnext_base,11.52,86.708,1,384,88.59
convmixer_1536_20,11.44,87.282,1,224,51.63
sequencer2d_m,11.44,87.314,1,224,38.31
cait_xxs36_384,11.3,88.39,1,384,17.37
vit_base_patch16_clip_384,11.28,88.553,1,384,86.86
deit_base_patch16_384,11.24,88.868,1,384,86.86
deit3_base_patch16_384,11.21,89.062,1,384,86.88
deit_base_distilled_patch16_384,11.2,89.193,1,384,87.63
davit_large,11.12,89.816,1,224,196.81
vit_base_patch16_siglip_384,11.11,89.91,1,384,93.18
vit_base_patch16_384,11.1,89.979,1,384,86.86
tresnet_xl,10.86,91.955,1,448,78.44
densenet264d,10.85,92.074,1,224,72.74
eca_nfnet_l3,10.82,92.336,1,352,72.04
maxxvitv2_rmlp_base_rw_224,10.75,92.904,1,224,116.09
pnasnet5large,10.75,92.913,1,331,86.06
nasnetalarge,10.68,93.528,1,331,88.75
efficientvit_l3,10.66,93.703,1,256,246.04
swinv2_cr_tiny_384,10.62,94.018,1,384,28.33
swinv2_cr_large_224,10.6,94.24,1,224,196.68
ecaresnet269d,10.55,94.713,1,320,102.09
swin_large_patch4_window7_224,10.5,95.17,1,224,196.53
cait_xs24_384,10.48,95.27,1,384,26.67
resnext101_32x16d,10.42,95.861,1,224,194.03
volo_d4_224,10.3,96.948,1,224,192.96
vit_large_r50_s32_224,10.24,97.519,1,224,328.99
mixer_l16_224,10.19,98.039,1,224,208.2
seresnet269d,10.18,98.097,1,288,113.67
swinv2_large_window12_192,10.15,98.416,1,192,228.77
tf_efficientnet_b6,10.13,98.587,1,528,43.04
dm_nfnet_f2,10.06,99.26,1,256,193.78
maxvit_tiny_tf_384,10.04,99.454,1,384,30.98
nfnet_f2,10.03,99.603,1,256,193.78
volo_d2_384,10.03,99.551,1,384,58.87
convnextv2_base,10.01,99.781,1,384,88.72
convnext_large,9.99,99.979,1,288,197.77
xcit_small_12_p8_384,9.95,100.392,1,384,26.21
xcit_medium_24_p16_384,9.8,101.966,1,384,84.4
maxvit_base_tf_224,9.72,102.786,1,224,119.47
ecaresnet269d,9.69,103.106,1,352,102.09
vgg11,9.64,103.628,1,224,132.86
vit_base_patch16_18x2_224,9.64,103.632,1,224,256.73
vgg11_bn,9.5,105.194,1,224,132.87
efficientnetv2_l,9.39,106.364,1,384,118.52
tf_efficientnetv2_l,9.31,107.306,1,384,118.52
swinv2_base_window12to16_192to256,9.3,107.471,1,256,87.92
convformer_m36,9.27,107.717,1,384,57.05
vgg13_bn,9.26,107.879,1,224,133.05
convnextv2_large,9.22,108.292,1,288,197.96
maxvit_rmlp_base_rw_224,9.22,108.408,1,224,116.14
swinv2_base_window16_256,9.21,108.436,1,256,87.92
efficientnet_b6,9.2,108.582,1,528,43.04
resnetrs270,9.19,108.694,1,352,129.86
vgg13,9.01,110.918,1,224,133.05
caformer_m36,8.96,111.546,1,384,56.2
resnetrs350,8.94,111.782,1,288,163.96
coatnet_rmlp_3_rw_224,8.77,113.984,1,224,165.15
coatnet_3_rw_224,8.74,114.329,1,224,181.81
coatnet_3_224,8.71,114.748,1,224,166.97
beit_base_patch16_384,8.65,115.469,1,384,86.74
vgg16,8.61,116.0,1,224,138.36
efficientvit_l3,8.58,116.47,1,320,246.04
coat_lite_medium_384,8.54,116.926,1,384,44.57
vgg19_bn,8.53,117.153,1,224,143.68
vgg16_bn,8.52,117.29,1,224,138.37
resnetv2_101x1_bit,8.46,118.13,1,448,44.54
vgg19,8.39,119.033,1,224,143.67
vit_base_patch8_224,8.39,119.029,1,224,86.58
eca_nfnet_l3,7.98,125.225,1,448,72.04
xcit_medium_24_p8_224,7.98,125.271,1,224,84.32
maxxvitv2_rmlp_large_rw_224,7.72,129.399,1,224,215.42
convnext_large_mlp,7.67,130.275,1,320,200.13
nfnet_f2,7.66,130.475,1,352,193.78
dm_nfnet_f2,7.6,131.419,1,352,193.78
vit_large_patch32_384,7.57,131.935,1,384,306.63
repvgg_d2se,7.54,132.439,1,320,133.33
seresnextaa201d_32x8d,7.52,132.81,1,320,149.39
vit_base_r50_s16_384,7.46,133.951,1,384,98.95
sequencer2d_l,7.43,134.481,1,224,54.3
maxvit_small_tf_384,7.23,138.115,1,384,69.02
resmlp_big_24_224,7.21,138.531,1,224,129.14
efficientvit_l3,7.1,140.815,1,384,246.04
efficientnetv2_l,7.02,142.385,1,480,118.52
cait_s24_384,6.98,143.242,1,384,47.06
vit_large_patch16_224,6.96,143.598,1,224,304.33
deit3_large_patch16_224,6.92,144.377,1,224,304.37
mvitv2_large,6.92,144.482,1,224,217.99
resnest269e,6.89,145.117,1,416,110.93
volo_d5_224,6.88,145.294,1,224,295.46
convnext_xlarge,6.87,145.419,1,224,350.2
eva_large_patch14_196,6.87,145.357,1,196,304.14
resnetrs420,6.84,146.047,1,320,191.89
tf_efficientnetv2_l,6.79,147.238,1,480,118.52
regnety_640,6.77,147.685,1,224,281.38
efficientnetv2_xl,6.76,147.902,1,384,208.12
tf_efficientnetv2_xl,6.73,148.547,1,384,208.12
resnetrs350,6.65,150.31,1,384,163.96
flexivit_large,6.63,150.711,1,240,304.36
nfnet_f3,6.59,151.709,1,320,254.92
tiny_vit_21m_512,6.55,152.682,1,512,21.27
regnety_320,6.4,156.191,1,384,145.05
dm_nfnet_f3,6.39,156.391,1,320,254.92
vit_base_patch16_siglip_512,6.25,159.877,1,512,93.52
beit_large_patch16_224,6.22,160.576,1,224,304.43
beitv2_large_patch16_224,6.22,160.717,1,224,304.43
maxvit_large_tf_224,6.2,161.197,1,224,211.79
swinv2_large_window12to16_192to256,6.12,163.37,1,256,196.74
convnext_large,6.04,165.574,1,384,197.77
convnext_large_mlp,6.01,166.316,1,384,200.13
vit_so400m_patch14_siglip_224,5.97,167.337,1,224,427.68
tf_efficientnet_b7,5.96,167.661,1,600,66.35
swinv2_cr_small_384,5.93,168.406,1,384,49.7
vit_large_patch16_siglip_256,5.86,170.441,1,256,315.96
vit_large_patch14_224,5.84,171.067,1,224,304.2
vit_large_patch14_clip_quickgelu_224,5.84,171.235,1,224,303.97
vit_large_patch14_clip_224,5.82,171.768,1,224,304.2
coatnet_rmlp_2_rw_384,5.75,173.867,1,384,73.88
mvitv2_large_cls,5.73,174.501,1,224,234.58
convformer_b36,5.71,174.868,1,384,99.88
seresnextaa201d_32x8d,5.71,174.871,1,384,149.39
eva02_base_patch14_448,5.68,175.869,1,448,87.12
davit_huge,5.66,176.53,1,224,348.92
vit_large_patch14_xp_224,5.58,179.001,1,224,304.06
maxvit_tiny_tf_512,5.54,180.385,1,512,31.05
efficientnet_b7,5.48,182.298,1,600,66.35
xcit_large_24_p16_384,5.46,183.021,1,384,189.1
coatnet_4_224,5.41,184.721,1,224,275.43
volo_d3_448,5.38,185.659,1,448,86.63
caformer_b36,5.37,186.081,1,384,98.75
convnextv2_large,5.36,186.287,1,384,197.96
eva02_large_patch14_clip_224,5.35,186.928,1,224,304.11
eva02_large_patch14_224,5.34,187.155,1,224,303.27
convnext_xlarge,5.27,189.818,1,288,350.2
xcit_small_24_p8_384,5.25,190.508,1,384,47.63
focalnet_large_fl3,5.2,192.302,1,384,239.13
resnetrs420,5.16,193.791,1,416,191.89
resnetv2_152x2_bit,5.06,197.516,1,224,236.34
vit_large_r50_s32_384,4.97,201.254,1,384,329.09
focalnet_large_fl4,4.95,201.96,1,384,239.32
nfnet_f3,4.77,209.555,1,416,254.92
cait_s36_384,4.73,211.462,1,384,68.37
dm_nfnet_f3,4.73,211.21,1,416,254.92
vit_base_patch14_dinov2,4.67,214.237,1,518,86.58
swinv2_cr_base_384,4.62,216.189,1,384,87.88
vit_base_patch14_reg4_dinov2,4.61,216.991,1,518,86.58
efficientnetv2_xl,4.49,222.467,1,512,208.12
tf_efficientnetv2_xl,4.48,223.158,1,512,208.12
resnetv2_50x3_bit,4.45,224.393,1,224,217.32
xcit_large_24_p8_224,4.41,226.888,1,224,188.93
dm_nfnet_f4,4.4,227.093,1,384,316.07
nfnet_f4,4.32,231.615,1,384,316.07
maxxvitv2_rmlp_base_rw_384,4.28,233.473,1,384,116.09
swin_base_patch4_window12_384,4.25,235.251,1,384,87.9
maxvit_base_tf_384,4.01,249.254,1,384,119.65
maxvit_rmlp_base_rw_384,3.97,252.089,1,384,116.14
maxvit_xlarge_tf_224,3.84,260.169,1,224,506.99
swinv2_cr_huge_224,3.73,267.645,1,224,657.83
resnext101_32x32d,3.7,269.902,1,224,468.53
convnextv2_huge,3.65,274.084,1,224,660.29
regnety_640,3.47,288.16,1,384,281.38
efficientnet_b8,3.46,289.292,1,672,87.41
nfnet_f5,3.32,300.922,1,416,377.21
maxvit_small_tf_512,3.3,303.006,1,512,69.13
tf_efficientnet_b8,3.3,302.574,1,672,87.41
xcit_medium_24_p8_384,3.3,303.237,1,384,84.32
convnext_xlarge,3.28,305.125,1,384,350.2
dm_nfnet_f5,3.28,304.623,1,416,377.21
vit_large_patch16_siglip_384,3.09,323.863,1,384,316.28
volo_d4_448,3.08,324.261,1,448,193.41
vit_large_patch14_clip_quickgelu_336,3.06,326.699,1,336,304.29
deit3_large_patch16_384,3.05,327.468,1,384,304.76
eva_large_patch14_336,3.03,330.35,1,336,304.53
swin_large_patch4_window12_384,3.02,330.733,1,384,196.74
vit_large_patch14_clip_336,3.02,330.571,1,336,304.53
vit_large_patch16_384,3.02,330.83,1,384,304.72
swinv2_cr_large_384,3.0,333.347,1,384,196.68
resnetv2_152x2_bit,2.88,346.891,1,384,236.34
vit_huge_patch14_gap_224,2.88,347.103,1,224,630.76
resnetv2_101x3_bit,2.86,349.835,1,224,387.93
nfnet_f4,2.83,353.869,1,512,316.07
convnextv2_huge,2.8,357.503,1,288,660.29
eva02_large_patch14_clip_336,2.8,357.279,1,336,304.43
vit_huge_patch14_224,2.8,356.629,1,224,630.76
vit_huge_patch14_clip_224,2.8,356.916,1,224,632.05
deit3_huge_patch14_224,2.79,358.708,1,224,632.13
vit_huge_patch14_xp_224,2.79,358.77,1,224,631.8
vit_huge_patch14_clip_quickgelu_224,2.78,360.058,1,224,632.08
swinv2_base_window12to24_192to384,2.77,361.199,1,384,87.92
mvitv2_huge_cls,2.76,362.599,1,224,694.8
dm_nfnet_f4,2.75,363.412,1,512,316.07
focalnet_huge_fl3,2.74,365.417,1,224,745.28
focalnet_xlarge_fl3,2.68,372.855,1,384,408.79
maxvit_large_tf_384,2.66,375.595,1,384,212.03
regnety_1280,2.66,376.44,1,224,644.81
focalnet_huge_fl4,2.65,376.997,1,224,686.46
focalnet_xlarge_fl4,2.63,379.808,1,384,409.03
nfnet_f6,2.53,394.377,1,448,438.36
vit_giant_patch16_gap_224,2.52,397.009,1,224,1011.37
dm_nfnet_f6,2.5,399.61,1,448,438.36
convnext_xxlarge,2.49,402.224,1,256,846.47
coatnet_5_224,2.46,406.549,1,224,687.47
beit_large_patch16_384,2.43,411.343,1,384,305.0
resnetv2_152x2_bit,2.36,422.825,1,448,236.34
resnetv2_50x3_bit,2.34,426.363,1,448,217.32
dm_nfnet_f5,2.14,466.965,1,544,377.21
eva_giant_patch14_224,2.12,471.488,1,224,1012.56
nfnet_f5,2.11,474.766,1,544,377.21
eva_giant_patch14_clip_224,2.1,476.74,1,224,1012.59
vit_giant_patch14_224,2.1,476.373,1,224,1012.61
vit_giant_patch14_clip_224,2.07,482.288,1,224,1012.65
nfnet_f7,2.01,496.295,1,480,499.5
vit_so400m_patch14_siglip_384,2.01,496.268,1,384,428.23
volo_d5_448,1.97,507.454,1,448,295.91
maxvit_base_tf_512,1.88,531.931,1,512,119.88
davit_giant,1.86,536.86,1,224,1406.47
convnextv2_huge,1.75,572.127,1,384,660.29
eva02_large_patch14_448,1.71,586.058,1,448,305.08
tf_efficientnet_l2,1.71,584.697,1,475,480.31
cait_m36_384,1.7,588.838,1,384,271.22
dm_nfnet_f6,1.7,587.555,1,576,438.36
nfnet_f6,1.7,589.297,1,576,438.36
swinv2_large_window12to24_192to384,1.7,587.644,1,384,196.74
xcit_large_24_p8_384,1.68,596.178,1,384,188.93
vit_huge_patch14_clip_336,1.64,609.779,1,336,632.46
regnety_1280,1.59,628.931,1,384,644.81
maxvit_xlarge_tf_384,1.53,652.708,1,384,475.32
vit_large_patch14_dinov2,1.5,664.399,1,518,304.37
vit_large_patch14_reg4_dinov2,1.49,673.215,1,518,304.37
volo_d5_512,1.47,680.639,1,512,296.09
resnetv2_101x3_bit,1.45,690.923,1,448,387.93
vit_huge_patch14_clip_378,1.34,746.759,1,378,632.68
vit_huge_patch14_clip_quickgelu_378,1.33,751.148,1,378,632.68
nfnet_f7,1.32,756.231,1,608,499.5
maxvit_large_tf_512,1.28,779.969,1,512,212.33
swinv2_cr_huge_384,1.26,792.156,1,384,657.94
vit_huge_patch16_gap_448,1.24,806.627,1,448,631.67
swinv2_cr_giant_224,1.22,817.72,1,224,2598.76
vit_gigantic_patch14_224,1.2,831.652,1,224,1844.44
vit_gigantic_patch14_clip_224,1.2,830.217,1,224,1844.91
beit_large_patch16_512,1.15,869.779,1,512,305.67
convnextv2_huge,1.11,904.605,1,512,660.29
resnetv2_152x4_bit,1.07,931.333,1,224,936.53
eva_giant_patch14_336,1.06,945.007,1,336,1013.01
maxvit_xlarge_tf_512,0.74,1353.032,1,512,475.77
regnety_2560,0.71,1404.762,1,384,1282.6
cait_m48_448,0.64,1574.651,1,448,356.46
samvit_base_patch16,0.61,1639.865,1,1024,89.67
tf_efficientnet_l2,0.6,1664.515,1,800,480.31
efficientnet_l2,0.58,1732.697,1,800,480.31
resnetv2_152x4_bit,0.54,1835.495,1,480,936.53
eva_giant_patch14_560,0.46,2166.883,1,560,1014.45
vit_giant_patch14_dinov2,0.46,2154.504,1,518,1136.48
vit_giant_patch14_reg4_dinov2,0.46,2171.619,1,518,1136.48
eva02_enormous_patch14_clip_224,0.44,2252.224,1,224,4350.56
swinv2_cr_giant_384,0.37,2697.442,1,384,2598.76
samvit_large_patch16,0.28,3628.054,1,1024,308.28
samvit_huge_patch16,0.19,5153.132,1,1024,637.03