pytorch-image-models/results/benchmark-train-amp-nchw-pt111-cu113-rtx3090.csv

model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
tinynet_e,9380.97,53.881,512,106,2.04
mobilenetv3_small_050,7276.68,69.643,512,224,1.59
tf_mobilenetv3_small_minimal_100,6334.14,80.291,512,224,2.04
mobilenetv3_small_075,5920.21,85.765,512,224,2.04
lcnet_035,5760.61,88.397,512,224,1.64
mobilenetv3_small_100,5583.48,90.99,512,224,2.54
tf_mobilenetv3_small_075,5569.37,91.204,512,224,2.04
levit_128s,5426.95,93.402,512,224,7.78
lcnet_050,5425.23,93.895,512,224,1.88
tf_mobilenetv3_small_100,5275.47,96.328,512,224,2.54
tinynet_d,4879.29,104.179,512,152,2.34
mixer_s32_224,4491.84,113.42,512,224,19.1
vit_small_patch32_224,4321.32,117.658,512,224,22.88
lcnet_075,4147.31,122.971,512,224,2.36
levit_128,3971.6,127.764,512,224,9.21
vit_tiny_r_s16_p8_224,3957.53,128.516,512,224,6.34
lcnet_100,3524.02,144.807,512,224,2.95
mnasnet_small,3488.23,145.878,512,224,2.03
levit_192,3436.74,147.842,512,224,10.95
regnetx_002,3423.6,148.87,512,224,2.68
regnety_002,3178.35,160.128,512,224,3.16
mobilenetv2_035,3069.55,166.033,512,224,1.68
gernet_s,2949.06,172.893,512,224,8.17
mnasnet_050,2821.34,180.673,512,224,2.22
ssl_resnet18,2720.94,187.823,512,224,11.69
swsl_resnet18,2720.55,187.842,512,224,11.69
gluon_resnet18_v1b,2718.42,187.998,512,224,11.69
resnet18,2711.83,188.459,512,224,11.69
semnasnet_050,2700.91,188.67,512,224,2.08
tinynet_c,2654.89,191.851,512,184,2.46
mobilenetv2_050,2650.81,192.34,512,224,1.97
levit_256,2620.65,194.218,512,224,18.89
lcnet_150,2613.69,195.4,512,224,4.5
regnetx_004,2532.79,201.109,512,224,5.16
seresnet18,2519.64,202.716,512,224,11.78
legacy_seresnet18,2461.74,207.479,512,224,11.78
ese_vovnet19b_slim_dw,2456.97,207.908,512,224,1.9
mobilenetv3_large_075,2342.92,217.677,512,224,3.99
tf_mobilenetv3_large_minimal_100,2311.18,220.824,512,224,3.92
vit_tiny_patch16_224,2249.49,226.757,512,224,5.72
levit_256d,2248.95,226.128,512,224,26.21
deit_tiny_patch16_224,2244.74,227.248,512,224,5.72
tf_mobilenetv3_large_075,2222.25,229.522,512,224,3.99
deit_tiny_distilled_patch16_224,2207.23,231.107,512,224,5.91
ghostnet_050,2193.43,232.046,512,224,2.59
mnasnet_075,2163.05,235.897,512,224,3.17
mobilenetv3_rw,2147.03,237.6,512,224,5.48
mobilenetv3_large_100_miil,2135.44,238.882,512,224,5.48
mobilenetv3_large_100,2134.66,238.979,512,224,5.48
resnet18d,2086.64,244.99,512,224,11.71
pit_ti_distilled_224,2085.77,244.59,512,224,5.1
pit_ti_224,2083.57,244.847,512,224,4.85
hardcorenas_a,2050.08,249.015,512,224,5.26
regnetx_006,2048.56,249.103,512,224,6.2
tf_mobilenetv3_large_100,2046.24,249.335,512,224,5.48
ese_vovnet19b_slim,1997.73,255.915,512,224,3.17
mnasnet_100,1996.94,255.609,512,224,4.38
mnasnet_b1,1993.53,256.025,512,224,4.38
xcit_nano_12_p16_224_dist,1946.62,261.255,512,224,3.05
xcit_nano_12_p16_224,1946.1,261.308,512,224,3.05
semnasnet_075,1927.77,264.67,512,224,2.91
hardcorenas_b,1912.19,266.758,512,224,5.18
mobilenetv2_075,1888.29,270.368,512,224,2.64
hardcorenas_c,1885.12,270.645,512,224,5.52
tf_efficientnetv2_b0,1880.38,271.08,512,224,7.14
tinynet_b,1857.15,274.614,512,188,3.73
regnety_004,1855.83,274.756,512,224,4.34
resnetblur18,1846.1,276.978,512,224,11.69
regnety_006,1808.76,282.043,512,224,6.06
hardcorenas_d,1808.52,281.873,512,224,7.5
mnasnet_a1,1796.84,284.044,512,224,3.89
semnasnet_100,1784.41,286.019,512,224,3.89
spnasnet_100,1782.41,286.288,512,224,4.42
skresnet18,1776.65,287.57,512,224,11.96
mobilenetv2_100,1761.25,289.902,512,224,3.5
mixer_b32_224,1711.23,298.43,512,224,60.29
regnetx_008,1669.43,305.887,512,224,7.26
levit_384,1662.81,306.81,512,224,39.13
vit_base_patch32_224,1658.09,307.969,512,224,88.22
vit_base_patch32_224_sam,1657.82,308.015,512,224,88.22
efficientnet_lite0,1636.56,312.086,512,224,4.65
visformer_tiny,1629.51,313.524,512,224,10.32
gluon_resnet34_v1b,1626.25,314.261,512,224,21.8
resnet34,1624.32,314.625,512,224,21.8
tv_resnet34,1622.42,314.985,512,224,21.8
ghostnet_100,1610.26,316.618,512,224,5.18
hardcorenas_f,1606.37,317.568,512,224,8.2
pit_xs_distilled_224,1596.23,319.885,512,224,11.0
pit_xs_224,1595.39,320.023,512,224,10.62
hardcorenas_e,1595.11,319.841,512,224,8.07
tinynet_a,1592.8,320.187,512,192,6.19
resmlp_12_distilled_224,1562.43,326.888,512,224,15.35
resmlp_12_224,1562.2,326.933,512,224,15.35
regnety_008,1550.03,329.315,512,224,6.26
tf_efficientnet_lite0,1547.08,330.18,512,224,4.65
mixer_s16_224,1538.34,332.27,512,224,18.53
fbnetc_100,1532.35,333.142,512,224,5.57
seresnet34,1494.24,341.776,512,224,21.96
mnasnet_140,1493.96,341.916,512,224,7.12
nf_regnet_b0,1481.15,344.453,512,256,8.76
legacy_seresnet34,1458.06,350.271,512,224,21.96
gmixer_12_224,1449.53,352.403,512,224,12.7
gernet_m,1442.79,354.129,512,224,21.14
ese_vovnet19b_dw,1440.24,354.984,512,224,6.54
vit_small_patch32_384,1423.05,358.931,512,384,22.92
nf_resnet26,1422.6,359.386,512,224,16.0
efficientnet_b0,1413.79,270.572,384,224,5.29
dla46_c,1408.04,362.893,512,224,1.3
rexnetr_100,1385.71,275.935,384,224,4.88
mobilenetv2_110d,1384.57,276.313,384,224,4.52
rexnet_100,1381.06,276.903,384,224,4.8
vit_tiny_r_s16_p8_384,1371.38,279.143,384,384,6.36
ghostnet_130,1367.64,372.982,512,224,7.36
resnet34d,1367.17,373.876,512,224,21.82
tf_efficientnet_b0,1353.9,282.522,384,224,5.29
tf_efficientnet_b0_ap,1353.18,282.683,384,224,5.29
tf_efficientnet_b0_ns,1352.63,282.744,384,224,5.29
selecsls42,1349.71,378.706,512,224,30.35
selecsls42b,1347.34,379.337,512,224,32.46
gmlp_ti16_224,1340.35,284.915,384,224,5.87
regnetz_005,1326.54,384.587,512,224,7.12
crossvit_tiny_240,1322.74,385.447,512,240,7.01
resnet26,1321.4,386.974,512,224,16.0
semnasnet_140,1315.96,388.179,512,224,6.11
xcit_tiny_12_p16_224,1309.91,389.1,512,224,6.72
xcit_tiny_12_p16_224_dist,1303.81,390.894,512,224,6.72
hrnet_w18_small,1302.26,391.765,512,224,13.19
efficientnet_b1_pruned,1277.21,399.368,512,240,6.33
mobilevit_xxs,1270.89,301.046,384,256,1.27
mobilenetv2_140,1250.7,306.236,384,224,6.11
poolformer_s12,1245.33,410.466,512,224,11.92
crossvit_9_240,1236.49,309.127,384,240,8.55
nf_seresnet26,1207.14,423.49,512,224,17.4
tf_efficientnetv2_b1,1198.02,319.027,384,240,8.14
repvgg_b0,1184.29,431.28,512,224,15.82
crossvit_9_dagger_240,1177.9,324.572,384,240,8.78
selecsls60,1152.93,443.193,512,224,30.67
mixnet_s,1150.64,443.717,512,224,4.13
selecsls60b,1149.12,444.678,512,224,32.77
efficientnet_es,1142.77,447.293,512,224,5.44
efficientnet_es_pruned,1141.22,447.892,512,224,5.44
nf_ecaresnet26,1137.4,449.596,512,224,16.0
resnet26d,1125.5,454.383,512,224,16.01
tf_efficientnet_es,1120.47,456.18,512,224,5.44
efficientnet_lite1,1109.69,229.723,256,240,5.42
rexnetr_130,1097.15,232.191,256,224,7.61
tf_mixnet_s,1090.03,468.412,512,224,4.13
convit_tiny,1087.94,469.614,512,224,5.71
convnext_nano_hnf,1075.51,356.223,384,224,15.59
dla34,1072.51,476.787,512,224,15.74
tf_efficientnet_lite1,1061.0,240.288,256,240,5.42
dla46x_c,1058.5,482.972,512,224,1.07
rexnet_130,1051.04,242.43,256,224,7.56
regnetx_016,1042.11,490.415,512,224,9.19
mobilenetv2_120d,1036.53,245.787,256,224,5.83
skresnet34,1033.13,494.425,512,224,22.28
vit_small_patch16_224,1032.86,370.943,384,224,22.05
deit_small_patch16_224,1031.61,371.386,384,224,22.05
deit_small_distilled_patch16_224,1011.7,378.721,384,224,22.44
dla60x_c,1011.12,505.401,512,224,1.32
ecaresnet50d_pruned,1009.57,506.231,512,224,19.94
gernet_l,1007.43,507.303,512,256,31.08
efficientnet_b0_g16_evos,992.51,385.814,384,224,8.11
rexnetr_150,973.93,261.684,256,224,9.78
vit_base2_patch32_256,970.35,526.818,512,256,119.46
pit_s_distilled_224,963.9,264.693,256,224,24.04
pit_s_224,963.25,264.885,256,224,23.46
fbnetv3_b,936.5,408.4,384,256,8.6
rexnet_150,934.54,272.774,256,224,9.73
repvgg_a2,931.84,548.616,512,224,28.21
legacy_seresnext26_32x4d,930.69,411.955,384,224,16.79
regnety_016,921.99,553.558,512,224,11.2
resnest14d,909.12,562.716,512,224,10.61
efficientnet_cc_b0_4e,892.75,428.931,384,224,13.31
efficientnet_cc_b0_8e,889.3,430.599,384,224,24.01
coat_lite_tiny,885.61,432.738,384,224,5.72
nf_regnet_b1,883.44,578.138,512,288,10.22
resnetv2_50,883.05,579.001,512,224,25.55
resnext26ts,882.89,434.405,384,256,10.3
resnet26t,880.13,581.227,512,256,16.01
tf_efficientnetv2_b2,877.18,290.276,256,260,10.1
fbnetv3_d,875.63,290.586,256,256,10.31
nf_regnet_b2,875.24,583.366,512,272,14.31
tf_efficientnet_cc_b0_4e,872.5,438.913,384,224,13.31
tf_efficientnet_cc_b0_8e,867.49,441.45,384,224,24.01
efficientnet_b0_gn,860.35,296.448,256,224,5.29
eca_resnext26ts,852.81,299.643,256,256,10.3
seresnext26ts,848.06,301.17,256,256,10.39
botnet26t_256,835.32,459.139,384,256,12.49
gluon_resnet50_v1b,835.19,458.946,384,224,25.56
twins_svt_small,835.02,458.264,384,224,24.06
swsl_resnet50,834.38,459.391,384,224,25.56
resnet50,833.17,460.051,384,224,25.56
tf_efficientnet_b1_ap,832.71,305.903,256,240,7.79
tf_efficientnet_b1,832.37,306.044,256,240,7.79
tf_efficientnet_b1_ns,831.62,306.366,256,240,7.79
tv_resnet50,831.54,460.947,384,224,25.56
efficientnet_b2_pruned,831.45,306.38,256,260,8.31
seresnext26tn_32x4d,831.09,461.371,384,224,16.81
seresnext26d_32x4d,830.66,461.598,384,224,16.81
gcresnext26ts,830.6,307.372,256,256,10.48
seresnext26t_32x4d,830.1,461.943,384,224,16.81
ssl_resnet50,828.96,462.397,384,224,25.56
coat_lite_mini,825.96,464.063,384,224,11.01
vgg11,818.58,625.301,512,224,132.86
halonet26t,813.08,471.69,384,256,12.48
vit_small_resnet26d_224,812.32,471.613,384,224,63.61
eca_botnext26ts_256,804.88,317.468,256,256,10.59
efficientnet_lite2,800.14,318.978,256,260,6.09
efficientnet_b1,797.8,319.366,256,256,7.79
resnetv2_50t,793.9,644.111,512,224,25.57
ecaresnext26t_32x4d,792.87,483.752,384,224,15.41
ecaresnext50t_32x4d,790.88,484.99,384,224,15.41
resnetv2_50d,790.5,646.873,512,224,25.57
tresnet_m,787.27,647.568,512,224,31.39
convnext_tiny,782.73,326.109,256,224,28.59
eca_halonext26ts,781.32,327.03,256,256,10.76
vovnet39a,779.14,656.53,512,224,22.6
ecaresnet101d_pruned,778.75,655.702,512,224,24.88
mixnet_m,778.63,491.619,384,224,5.01
cspresnet50,774.32,495.068,384,256,21.62
tf_efficientnet_lite2,771.04,331.043,256,260,6.09
gluon_resnet50_v1c,769.5,498.184,384,224,25.58
ecaresnetlight,767.59,666.098,512,224,30.16
resmlp_24_224,766.31,332.575,256,224,30.02
resmlp_24_distilled_224,766.21,332.58,256,224,30.02
cspresnext50,765.28,500.93,384,224,20.57
resnet50t,753.13,509.003,384,224,25.57
resnet50d,752.95,509.12,384,224,25.58
gluon_resnet50_v1d,752.94,509.122,384,224,25.58
legacy_seresnet50,751.28,510.001,384,224,28.09
mobilevit_xs,751.23,339.638,256,256,2.32
tf_mixnet_m,748.19,511.684,384,224,5.01
ese_vovnet39b,748.06,683.786,512,224,24.57
resnet32ts,744.11,343.453,256,256,17.96
visformer_small,743.29,515.928,384,224,40.22
dpn68b,737.5,519.461,384,224,12.61
selecsls84,735.99,694.378,512,224,50.95
resnet33ts,732.63,348.809,256,256,19.68
nf_seresnet50,732.06,523.375,384,224,28.09
rexnetr_200,724.64,263.786,192,224,16.52
lambda_resnet26t,724.61,529.342,384,256,10.96
seresnet50,722.32,530.5,384,224,28.09
dpn68,721.48,531.095,384,224,12.61
res2net50_48w_2s,717.64,534.245,384,224,25.29
gmixer_24_224,717.31,355.331,256,224,24.72
eca_resnet33ts,712.11,358.824,256,256,19.68
seresnet33ts,709.27,360.12,256,256,19.78
bat_resnext26ts,708.45,360.137,256,256,10.73
rexnet_200,703.57,271.754,192,224,16.37
resnetblur50,702.19,546.026,384,224,25.56
cspresnet50d,701.76,546.305,384,256,21.64
vgg11_bn,698.67,549.368,384,224,132.87
twins_pcpvt_small,698.21,364.986,256,224,24.11
eca_vovnet39b,697.82,733.074,512,224,22.6
efficientnet_em,694.64,551.807,384,240,6.9
dla60,693.8,552.499,384,224,22.04
tf_efficientnet_em,692.96,368.419,256,240,6.9
cspresnet50w,692.76,553.433,384,256,28.12
resnest26d,688.5,556.976,384,224,17.07
gcresnet33ts,687.02,371.584,256,256,19.88
tv_densenet121,686.65,371.007,256,224,7.98
densenet121,686.51,371.091,256,224,7.98
vit_small_r26_s32_224,685.79,371.994,256,224,36.43
convnext_tiny_hnf,683.74,373.449,256,224,28.59
xcit_nano_12_p16_384_dist,682.7,373.202,256,384,3.05
xcit_tiny_24_p16_224_dist,681.26,372.348,256,224,12.12
lambda_resnet26rpt_256,679.63,281.896,192,256,10.99
xcit_tiny_24_p16_224,679.38,373.443,256,224,12.12
vit_base_resnet26d_224,679.21,563.967,384,224,101.4
resnetaa50d,678.8,564.84,384,224,25.58
nf_ecaresnet50,673.73,568.984,384,224,25.56
hrnet_w18_small_v2,672.52,758.874,512,224,15.6
gluon_resnet50_v1s,671.98,570.574,384,224,25.68
efficientnet_b0_g8_gn,661.67,385.796,256,224,6.56
seresnet50t,659.6,581.03,384,224,28.1
efficientnet_b3_pruned,657.34,387.781,256,300,9.86
haloregnetz_b,656.48,388.419,256,224,11.68
tv_resnext50_32x4d,651.27,588.791,384,224,25.03
swsl_resnext50_32x4d,651.11,588.925,384,224,25.03
gluon_resnext50_32x4d,650.97,589.059,384,224,25.03
ssl_resnext50_32x4d,650.9,589.136,384,224,25.03
resnext50_32x4d,649.99,589.957,384,224,25.03
resnetrs50,648.71,590.781,384,224,35.69
densenet121d,646.33,394.275,256,224,8.0
regnetx_032,643.77,595.296,384,224,15.3
resnetblur50d,642.77,397.429,256,224,25.58
res2net50_26w_4s,636.71,601.86,384,224,25.7
swin_tiny_patch4_window7_224,635.13,402.044,256,224,28.29
skresnet50,634.96,603.369,384,224,25.8
poolformer_s24,634.53,402.132,256,224,21.39
gmlp_s16_224,632.58,301.939,192,224,19.42
ese_vovnet57b,632.35,606.334,384,224,38.61
crossvit_small_240,625.73,407.457,256,240,26.86
xcit_small_12_p16_224_dist,625.08,407.723,256,224,26.25
xcit_small_12_p16_224,624.67,407.992,256,224,26.25
densenetblur121d,617.78,412.569,256,224,8.0
ecaresnet50d,612.94,625.548,384,224,25.58
tf_efficientnet_b2_ns,610.27,313.114,192,260,9.11
tf_efficientnet_b2_ap,610.1,313.168,192,260,9.11
tf_efficientnet_b2,609.89,313.274,192,260,9.11
mixnet_l,603.6,634.707,384,224,7.33
gluon_inception_v3,601.71,636.771,384,299,23.83
inception_v3,601.07,637.475,384,299,23.83
adv_inception_v3,601.02,637.509,384,299,23.83
tf_inception_v3,600.65,637.912,384,299,23.83
sehalonet33ts,599.96,425.883,256,256,13.69
seresnetaa50d,599.53,425.823,256,224,28.11
resnext50d_32x4d,598.58,426.825,256,224,25.05
mobilevit_s,596.24,320.895,192,256,5.58
resnetv2_50x1_bit_distilled,588.8,325.252,192,224,25.55
gcresnet50t,583.98,436.858,256,256,25.9
skresnet50d,583.54,437.238,256,224,25.82
swin_s3_tiny_224,576.57,442.971,256,224,28.33
seresnext50_32x4d,576.37,443.036,256,224,27.56
gluon_seresnext50_32x4d,576.3,443.051,256,224,27.56
tf_mixnet_l,576.22,442.743,256,224,7.33
legacy_seresnext50_32x4d,575.52,443.681,256,224,27.56
res2next50,575.07,443.835,256,224,24.67
repvgg_b1g4,572.25,893.649,512,224,39.97
cspresnext50_iabn,572.06,669.169,384,256,20.57
convnext_tiny_hnfd,570.41,447.777,256,224,28.63
res2net50_14w_8s,569.05,447.639,256,224,25.06
resnest50d_1s4x24d,568.93,448.655,256,224,25.68
cait_xxs24_224,568.71,447.7,256,224,11.96
crossvit_15_240,567.12,336.74,192,240,27.53
semobilevit_s,566.94,337.375,192,256,5.74
densenet169,563.82,451.519,256,224,14.15
efficientnet_b2,561.37,340.497,192,288,9.11
efficientnet_cc_b1_8e,559.34,455.785,256,240,39.72
efficientnet_b2a,558.58,342.255,192,288,9.11
darknet53,556.85,458.909,256,256,41.61
dla60_res2net,555.54,459.405,256,224,20.85
dla60x,553.4,461.598,256,224,17.35
mixer_b16_224,552.46,462.598,256,224,59.88
nf_resnet101,550.61,695.793,384,224,44.55
tf_efficientnet_cc_b1_8e,549.81,463.949,256,240,39.72
regnetx_040,549.5,697.703,384,224,22.12
mixer_b16_224_miil,549.25,465.267,256,224,59.88
crossvit_15_dagger_240,547.66,348.734,192,240,28.21
nf_regnet_b3,547.65,465.691,256,320,18.59
vovnet57a,547.59,934.12,512,224,36.64
resnetv2_101,544.49,468.639,256,224,44.54
xcit_nano_12_p8_224,542.16,470.425,256,224,3.05
xcit_nano_12_p8_224_dist,541.55,470.928,256,224,3.05
tf_efficientnetv2_b3,541.54,352.751,192,300,14.36
sebotnet33ts_256,540.04,236.225,128,256,13.7
gcresnext50ts,538.97,354.583,192,256,15.67
nf_resnet50,536.27,715.168,384,288,25.56
resnet50_gn,532.97,359.41,192,224,25.56
vit_base_r26_s32_224,532.84,359.064,192,224,101.38
vit_base_patch32_384,531.15,481.156,256,384,88.3
efficientnetv2_rw_t,527.04,362.193,192,288,13.65
resnet101,526.31,484.87,256,224,44.55
gluon_resnet101_v1b,525.74,485.353,256,224,44.55
tv_resnet101,523.69,487.267,256,224,44.55
vit_large_patch32_224,515.11,495.389,256,224,306.54
vit_base_resnet50d_224,514.44,495.989,256,224,110.97
mixer_l32_224,507.93,376.544,192,224,206.94
resnetv2_101d,506.46,503.899,256,224,44.56
swin_v2_cr_tiny_224,505.66,378.391,192,224,28.33
vit_tiny_patch16_384,505.36,252.456,128,384,5.79
resmlp_36_224,505.0,378.005,192,224,44.69
resmlp_36_distilled_224,504.83,378.088,192,224,44.69
swin_v2_cr_tiny_ns_224,503.02,380.384,192,224,28.33
repvgg_b1,501.28,1020.314,512,224,57.42
dla60_res2next,500.08,510.484,256,224,17.03
gluon_resnet101_v1c,498.53,511.943,256,224,44.57
wide_resnet50_2,491.97,779.7,384,224,68.88
gluon_resnet101_v1d,491.71,519.004,256,224,44.57
resnest50d,484.85,526.671,256,224,27.48
vgg13,482.75,795.25,384,224,133.05
cspdarknet53,481.82,530.306,256,256,27.64
gc_efficientnetv2_rw_t,480.93,396.503,192,288,13.68
convnext_small,478.98,399.137,192,224,50.22
efficientnet_lite3,478.82,266.239,128,300,8.2
ecaresnet26t,478.49,534.465,256,320,16.01
nest_tiny,477.21,267.341,128,224,17.06
regnetz_b16,476.53,401.488,192,288,9.72
dla102,475.31,537.042,256,224,33.27
cspdarknet53_iabn,474.61,806.628,384,256,27.64
res2net50_26w_6s,474.4,537.903,256,224,37.05
jx_nest_tiny,469.53,271.701,128,224,17.06
twins_pcpvt_base,465.48,409.697,192,224,43.83
vgg13_bn,465.35,549.842,256,224,133.05
halonet50ts,463.11,413.595,192,256,22.73
regnetx_080,462.29,829.538,384,224,39.57
lambda_resnet50ts,461.63,414.909,192,256,21.54
coat_lite_small,461.47,414.609,192,224,19.84
legacy_seresnet101,460.47,553.804,256,224,49.33
vgg16,459.25,557.204,256,224,138.36
tf_efficientnet_lite3,458.84,277.849,128,300,8.2
resnetaa101d,458.35,556.916,256,224,44.57
gluon_resnet101_v1s,456.37,559.352,256,224,44.67
xcit_tiny_12_p16_384_dist,451.6,423.4,192,384,6.72
seresnet101,447.82,569.466,256,224,49.33
densenet201,447.49,426.067,192,224,20.01
mixnet_xl,447.09,570.692,256,224,11.9
nf_seresnet101,444.89,573.162,256,224,49.33
convit_small,441.84,433.517,192,224,27.78
resnetblur101d,441.53,578.26,256,224,44.57
nfnet_l0,426.47,599.103,256,288,35.07
skresnext50_32x4d,424.37,601.881,256,224,27.48
poolformer_s36,424.29,450.68,192,224,30.86
botnet50ts_256,421.6,302.649,128,256,22.74
halo2botnet50ts_256,418.8,457.379,192,256,22.64
gluon_resnext101_32x4d,418.26,610.512,256,224,44.18
resnext101_32x4d,417.6,611.486,256,224,44.18
ssl_resnext101_32x4d,417.52,611.578,256,224,44.18
swsl_resnext101_32x4d,417.45,611.654,256,224,44.18
fbnetv3_g,415.62,305.885,128,288,16.62
twins_svt_base,413.84,461.835,192,224,56.07
ese_vovnet39b_evos,413.01,308.979,128,224,24.58
res2net101_26w_4s,405.25,629.29,256,224,45.21
eca_nfnet_l0,404.73,631.533,256,288,24.14
tresnet_l,403.54,1265.42,512,224,55.99
lamhalobotnet50ts_256,403.43,474.897,192,256,22.57
volo_d1_224,400.45,478.074,192,224,26.63
crossvit_18_240,400.32,317.735,128,240,43.27
resnet51q,397.98,481.556,192,288,35.7
nf_ecaresnet101,396.22,644.266,256,224,44.55
dla102x,392.86,487.139,192,224,26.31
vit_base_patch16_224_miil,392.0,489.026,192,224,86.54
swin_small_patch4_window7_224,391.85,488.136,192,224,49.61
regnety_032,391.81,651.958,256,288,19.44
regnetx_064,390.82,654.137,256,224,26.21
res2net50_26w_8s,389.26,655.478,256,224,48.4
vgg16_bn,388.47,658.66,256,224,138.37
deit_base_patch16_224,386.56,495.833,192,224,86.57
crossvit_18_dagger_240,386.08,329.466,128,240,44.27
vit_base_patch16_224,385.82,496.783,192,224,86.57
resnest50d_4s2x40d,385.78,662.242,256,224,30.42
xception,384.95,331.72,128,299,22.86
vit_base_patch16_224_sam,384.94,497.961,192,224,86.57
ecaresnet101d,381.61,669.061,256,224,44.57
deit_base_distilled_patch16_224,379.86,504.583,192,224,87.34
resnetv2_152,379.0,673.236,256,224,60.19
repvgg_b2g4,377.95,1353.629,512,224,61.76
ese_vovnet99b,373.94,683.067,256,224,63.2
vit_small_resnet50d_s16_224,373.61,512.677,192,224,57.53
cait_xxs36_224,371.71,512.777,192,224,17.3
resnet152,371.52,514.561,192,224,60.19
tv_resnet152,371.15,515.007,192,224,60.19
gluon_resnet152_v1b,368.93,518.118,192,224,60.19
gluon_seresnext101_32x4d,368.19,519.228,192,224,48.96
seresnext101_32x4d,367.5,520.242,192,224,48.96
nfnet_f0,366.97,696.402,256,256,71.49
legacy_seresnext101_32x4d,366.06,522.375,192,224,48.96
tf_efficientnet_b3_ap,364.58,349.402,128,300,12.23
tf_efficientnet_b3_ns,364.49,349.53,128,300,12.23
tf_efficientnet_b3,364.34,349.633,128,300,12.23
resnetv2_152d,361.2,529.264,192,224,60.2
resnet61q,358.48,356.024,128,288,36.85
resnetv2_50d_frn,357.45,356.923,128,224,25.59
ese_vovnet99b_iabn,357.31,1071.637,384,224,63.2
gluon_resnet152_v1c,355.88,537.206,192,224,60.21
hrnet_w18,355.73,714.824,256,224,21.3
efficientnet_b3,355.08,358.849,128,320,12.23
efficientnet_b3a,354.83,359.115,128,320,12.23
regnety_040,354.78,539.617,192,288,20.65
beit_base_patch16_224,353.55,541.973,192,224,86.53
gluon_resnet152_v1d,353.52,540.757,192,224,60.21
regnety_040s_gn,353.11,360.919,128,224,20.65
vgg19,352.0,1090.659,384,224,143.67
xcit_tiny_12_p8_224,351.32,362.59,128,224,6.71
xcit_tiny_12_p8_224_dist,351.06,362.838,128,224,6.71
xception41p,343.38,371.913,128,299,26.91
regnetv_040,342.33,372.402,128,288,20.64
tnt_s_patch16_224,339.73,563.196,192,224,23.76
repvgg_b2,339.2,1508.352,512,224,89.02
vgg19_bn,336.08,761.352,256,224,143.68
gluon_resnet152_v1s,334.98,570.781,192,224,60.32
densenet161,332.41,382.595,128,224,28.68
dm_nfnet_f0,331.82,770.266,256,256,71.49
dla169,331.14,577.405,192,224,53.39
resnetv2_50d_gn,330.91,385.985,128,288,25.57
convnext_base_in22ft1k,328.04,388.471,128,224,88.59
convnext_tiny_in22ft1k,327.7,388.845,128,224,88.59
convnext_small_in22ft1k,326.36,390.508,128,224,88.59
convnext_base,325.78,391.109,128,224,88.59
xcit_small_24_p16_224_dist,322.26,393.856,128,224,47.67
xcit_small_24_p16_224,321.22,395.027,128,224,47.67
repvgg_b3g4,321.08,1194.912,384,224,83.83
pit_b_224,319.89,399.203,128,224,73.76
twins_pcpvt_large,319.03,397.109,128,224,60.99
pit_b_distilled_224,318.55,400.853,128,224,74.79
legacy_seresnet152,315.59,605.069,192,224,66.82
dpn92,314.54,812.398,256,224,37.67
inception_v4,312.24,612.734,192,299,42.68
regnetx_120,309.13,827.171,256,224,46.11
hrnet_w32,308.88,823.922,256,224,41.23
convmixer_1024_20_ks9_p14,308.12,830.025,256,224,24.38
ecaresnet50t,306.63,416.493,128,320,25.57
seresnet152,305.84,415.318,128,224,66.82
coat_tiny,303.51,419.779,128,224,5.5
vit_small_patch16_36x1_224,303.33,419.341,128,224,64.67
regnetz_c16,302.72,421.37,128,320,13.46
vit_small_patch16_18x2_224,302.0,421.199,128,224,64.67
hrnet_w30,301.17,845.104,256,224,37.71
swin_v2_cr_small_224,300.16,424.024,128,224,49.7
nest_small,296.43,322.186,96,224,38.35
tresnet_xl,295.35,1296.648,384,224,78.44
jx_nest_small,294.56,324.278,96,224,38.35
efficientnet_el,291.47,438.031,128,300,10.59
xception41,291.46,437.936,128,299,26.97
efficientnet_el_pruned,291.16,438.564,128,300,10.59
regnety_120,291.14,658.173,192,224,51.82
cait_s24_224,290.55,438.065,128,224,46.92
nf_regnet_b4,288.27,441.948,128,384,30.21
twins_svt_large,288.14,442.123,128,224,99.27
wide_resnet101_2,287.9,665.343,192,224,126.89
mixnet_xxl,287.84,442.746,128,224,23.96
tf_efficientnet_el,286.59,445.507,128,300,10.59
poolformer_m36,284.22,448.517,128,224,56.17
swin_s3_small_224,277.99,343.436,96,224,49.74
repvgg_b3,276.27,1388.871,384,224,123.09
swin_base_patch4_window7_224,273.38,466.273,128,224,87.77
gmlp_b16_224,266.77,358.289,96,224,73.08
gluon_resnext101_64x4d,266.55,478.624,128,224,83.46
dla102x2,265.99,479.601,128,224,41.28
resnet200,264.41,481.093,128,224,64.67
resnetv2_50d_evob,261.14,366.354,96,224,25.59
regnetx_160,260.8,735.124,192,224,54.28
xception65p,258.86,493.161,128,299,39.82
inception_resnet_v2,255.7,747.606,192,299,55.84
ens_adv_inception_resnet_v2,255.53,748.108,192,299,55.84
resnetrs101,253.22,503.169,128,288,63.62
resnext101_32x8d,252.1,506.144,128,224,88.79
ig_resnext101_32x8d,251.82,506.789,128,224,88.79
ssl_resnext101_32x8d,251.44,507.525,128,224,88.79
swsl_resnext101_32x8d,251.43,507.504,128,224,88.79
crossvit_base_240,250.95,380.881,96,240,105.03
dpn98,249.4,511.692,128,224,61.57
efficientnet_lite4,247.4,257.372,64,380,13.01
coat_mini,246.33,517.632,128,224,10.34
efficientnetv2_s,245.94,388.167,96,384,21.46
gluon_seresnext101_64x4d,243.95,522.441,128,224,88.23
tf_efficientnetv2_s_in21ft1k,243.54,391.981,96,384,21.46
tf_efficientnetv2_s,242.89,393.02,96,384,21.46
resnet101d,240.52,530.628,128,320,44.57
resnest101e,240.15,530.415,128,256,48.28
tf_efficientnet_lite4,239.36,265.97,64,380,13.01
vit_small_patch16_384,235.44,270.99,64,384,22.2
xcit_tiny_24_p16_384_dist,233.56,407.54,96,384,12.12
efficientnetv2_rw_s,232.48,273.03,64,384,23.94
regnety_064,232.21,549.529,128,288,30.58
xcit_medium_24_p16_224_dist,231.18,550.33,128,224,84.4
xcit_medium_24_p16_224,231.11,550.432,128,224,84.4
vit_large_r50_s32_224,229.5,415.85,96,224,328.99
regnetv_064,225.87,564.974,128,288,30.58
vit_small_r26_s32_384,225.43,282.622,64,384,36.47
convit_base,225.0,567.909,128,224,86.54
gluon_xception65,223.32,427.945,96,299,39.92
xception65,222.42,429.727,96,299,39.92
tnt_b_patch16_224,222.32,573.844,128,224,65.41
volo_d2_224,221.58,431.459,96,224,58.68
regnety_080,221.2,577.488,128,288,39.18
hrnet_w40,220.15,867.238,192,224,57.56
swin_s3_base_224,219.92,433.728,96,224,71.13
xcit_small_12_p16_384_dist,216.0,442.656,96,384,26.25
swin_v2_cr_base_224,214.24,445.643,96,224,87.88
hrnet_w48,213.16,895.867,192,224,77.47
resnetv2_50d_evos,211.1,226.199,48,288,25.59
nest_base,210.29,302.692,64,224,67.72
jx_nest_base,209.17,304.343,64,224,67.72
vit_base_r50_s16_224,208.73,458.333,96,224,98.66
tresnet_m_448,206.95,924.987,192,448,31.39
hrnet_w44,206.72,924.031,192,224,67.06
efficientnet_b4,203.38,312.633,64,384,19.34
regnetz_b16_evos,201.27,316.106,64,288,9.74
regnetz_040h,199.85,318.401,64,320,28.94
regnetz_040,199.66,318.691,64,320,27.12
efficientnet_b3_gn,199.47,319.133,64,320,11.73
densenet264,199.22,477.999,96,224,72.69
regnetz_d8,197.46,322.524,64,320,23.37
eca_nfnet_l1,189.9,672.191,128,320,41.41
tf_efficientnet_b4,188.81,336.904,64,380,19.34
tf_efficientnet_b4_ns,188.45,337.501,64,380,19.34
tf_efficientnet_b4_ap,188.4,337.642,64,380,19.34
poolformer_m48,187.63,509.206,96,224,73.47
dpn131,186.23,685.159,128,224,79.25
regnetz_d32,186.08,342.366,64,320,27.58
xcit_nano_12_p8_384_dist,183.21,347.477,64,384,3.05
convnext_large_in22ft1k,182.13,525.349,96,224,197.77
convnext_large,180.72,529.451,96,224,197.77
xcit_tiny_24_p8_224_dist,179.19,532.437,96,224,12.11
xcit_tiny_24_p8_224,179.14,532.524,96,224,12.11
dpn107,174.56,731.55,128,224,86.92
resnet152d,172.45,554.35,96,320,60.21
hrnet_w64,170.75,744.856,128,224,128.06
halonet_h1,170.55,373.795,64,256,8.1
xception71,168.15,378.514,64,299,42.34
mixer_l16_224,167.46,571.737,96,224,208.2
regnety_320,166.3,768.299,128,224,145.05
vit_large_patch32_384,165.23,579.454,96,384,306.63
densenet264d_iabn,165.07,1158.795,192,224,72.74
xcit_small_12_p8_224,164.33,387.646,64,224,26.21
xcit_small_12_p8_224_dist,164.16,388.107,64,224,26.21
efficientnet_b3_g8_gn,153.99,413.949,64,320,14.25
swin_large_patch4_window7_224,152.41,417.988,64,224,196.53
volo_d3_224,152.25,417.779,64,224,86.33
ecaresnet200d,150.97,632.522,96,256,64.69
seresnet200d,149.9,422.786,64,256,71.86
regnetx_320,146.61,871.937,128,224,107.81
seresnet152d,143.56,442.443,64,320,66.84
resnetv2_50x1_bitm,142.06,337.009,48,448,25.55
gluon_senet154,141.6,674.51,96,224,115.09
resnetrs152,141.55,448.821,64,320,86.62
senet154,141.16,676.729,96,224,115.09
legacy_senet154,139.88,683.0,96,224,115.09
regnety_160,136.04,704.372,96,288,83.59
xcit_large_24_p16_224_dist,130.76,486.175,64,224,189.1
xcit_large_24_p16_224,130.33,487.671,64,224,189.1
seresnext101_32x8d,126.87,502.294,64,288,93.57
nfnet_f1,125.34,763.802,96,320,132.63
resnet200d,124.61,510.654,64,320,64.69
regnetz_c16_evos,123.93,385.448,48,320,13.49
resnext101_64x4d,122.56,781.647,96,288,83.46
efficientnetv2_m,120.01,396.838,48,416,54.14
swin_v2_cr_large_224,119.95,397.782,48,224,196.68
xcit_tiny_12_p8_384_dist,119.32,400.563,48,384,6.71
vit_large_patch16_224,116.44,548.026,64,224,304.33
crossvit_15_dagger_408,116.23,273.461,32,408,28.5
seresnet269d,116.02,545.703,64,256,113.67
vit_base_patch16_18x2_224,115.21,552.796,64,224,256.73
convnext_xlarge_in22ft1k,113.61,561.618,64,224,350.2
convnext_base_384_in22ft1k,112.88,423.483,48,384,88.59
dm_nfnet_f1,112.71,565.567,64,320,132.63
convnext_tiny_384_in22ft1k,112.65,424.398,48,384,88.59
convnext_small_384_in22ft1k,112.59,424.604,48,384,88.59
nf_regnet_b5,112.22,567.655,64,456,49.74
swin_v2_cr_tiny_384,111.16,286.572,32,384,28.33
xcit_small_24_p16_384_dist,110.42,431.325,48,384,47.67
beit_large_patch16_224,107.44,593.678,64,224,304.43
regnetz_e8,103.46,461.955,48,320,57.7
efficientnetv2_rw_m,103.11,307.008,32,416,53.24
tresnet_l_448,101.52,1257.535,128,448,55.99
swsl_resnext101_32x16d,99.54,962.862,96,224,194.03
ig_resnext101_32x16d,99.3,965.129,96,224,194.03
ssl_resnext101_32x16d,99.25,965.706,96,224,194.03
volo_d1_384,98.94,322.06,32,384,26.78
resnetrs200,98.6,482.325,48,320,93.21
cait_xxs24_384,97.24,491.195,48,384,12.03
deit_base_patch16_384,95.92,332.748,32,384,86.86
vit_base_patch16_384,95.88,332.951,32,384,86.86
volo_d4_224,95.4,500.622,48,224,192.96
eca_nfnet_l2,94.36,675.671,64,384,56.72
deit_base_distilled_patch16_384,93.97,339.685,32,384,87.63
efficientnet_b5,90.42,351.458,32,456,30.39
tf_efficientnetv2_m,89.36,354.724,32,480,54.14
tf_efficientnetv2_m_in21ft1k,89.12,355.723,32,480,54.14
tf_efficientnet_b5,88.7,358.215,32,456,30.39
tf_efficientnet_b5_ap,88.68,358.368,32,456,30.39
tf_efficientnet_b5_ns,88.58,358.774,32,456,30.39
crossvit_18_dagger_408,87.86,362.177,32,408,44.61
resnetv2_101x1_bitm,87.29,364.971,32,448,44.54
convmixer_768_32,87.13,1100.537,96,224,21.11
resnetv2_152x2_bit_teacher,87.1,364.899,32,224,236.34
vit_large_patch14_224,84.6,565.739,48,224,304.2
regnetz_d8_evos,83.97,379.015,32,320,23.46
beit_base_patch16_384,82.88,385.038,32,384,86.74
xcit_small_24_p8_224_dist,82.62,383.85,32,224,47.63
xcit_small_24_p8_224,82.5,384.488,32,224,47.63
resnest200e,79.64,597.77,48,320,70.2
tresnet_xl_448,77.44,1236.244,96,448,78.44
xcit_medium_24_p16_384_dist,76.61,414.275,32,384,84.4
vit_large_r50_s32_384,76.27,417.132,32,384,329.09
swin_base_patch4_window12_384,73.39,434.11,32,384,87.9
nfnet_f2,71.5,668.121,48,352,193.78
resmlp_big_24_224_in22ft1k,68.15,468.085,32,224,129.14
resmlp_big_24_224,68.13,468.141,32,224,129.14
resmlp_big_24_distilled_224,68.08,468.542,32,224,129.14
pnasnet5large,66.87,474.686,32,331,86.06
swin_v2_cr_small_384,66.28,359.629,24,384,49.7
nasnetalarge,65.59,482.923,32,331,88.75
cait_xs24_384,65.34,487.167,32,384,26.67
dm_nfnet_f2,64.55,740.206,48,352,193.78
cait_xxs36_384,62.84,505.392,32,384,17.37
vit_base_patch8_224,62.83,381.142,24,224,86.58
convnext_large_384_in22ft1k,61.61,517.714,32,384,197.77
ecaresnet269d,61.52,515.695,32,352,102.09
volo_d5_224,61.49,517.153,32,224,295.46
xcit_tiny_24_p8_384_dist,60.46,525.849,32,384,12.11
xcit_medium_24_p8_224,59.24,536.775,32,224,84.32
xcit_medium_24_p8_224_dist,59.23,536.852,32,224,84.32
vit_base_resnet50_384,58.93,405.608,24,384,98.95
vit_base_r50_s16_384,58.91,405.68,24,384,98.95
resnetrs270,58.9,537.38,32,352,129.86
xcit_small_12_p8_384_dist,56.03,426.632,24,384,26.21
volo_d2_384,55.33,287.363,16,384,58.87
ig_resnext101_32x32d,52.68,605.908,32,224,468.53
eca_nfnet_l3,50.62,628.636,32,448,72.04
convmixer_1536_20,49.63,966.338,48,224,51.63
cait_s24_384,49.12,486.034,24,384,47.06
efficientnet_b6,48.5,327.112,16,528,43.04
tf_efficientnet_b6_ns,48.02,330.391,16,528,43.04
tf_efficientnet_b6_ap,47.83,331.608,16,528,43.04
tf_efficientnet_b6,47.78,331.966,16,528,43.04
efficientnetv2_l,47.17,334.927,16,480,118.52
swin_v2_cr_base_384,47.07,337.445,16,384,87.88
tf_efficientnetv2_l_in21ft1k,46.85,337.127,16,480,118.52
tf_efficientnetv2_l,46.53,339.329,16,480,118.52
swin_v2_cr_huge_224,46.2,343.813,16,224,657.83
xcit_large_24_p16_384_dist,44.95,530.527,24,384,189.1
swin_large_patch4_window12_384,41.24,386.07,16,384,196.74
vit_huge_patch14_224,39.65,401.44,16,224,632.05
resnetrs350,37.15,638.194,24,384,163.96
convnext_xlarge_384_in22ft1k,36.94,431.409,16,384,350.2
nfnet_f3,35.43,673.367,24,416,254.92
resnest269e,33.7,705.124,24,416,110.93
xcit_large_24_p8_224_dist,33.34,476.606,16,224,188.93
xcit_large_24_p8_224,33.33,476.71,16,224,188.93
dm_nfnet_f3,32.28,738.882,24,416,254.92
resnetv2_50x3_bitm,31.96,499.813,16,448,217.32
cait_s36_384,31.71,500.682,16,384,68.37
resnetv2_152x2_bit_teacher_384,31.41,506.876,16,384,236.34
tf_efficientnetv2_xl_in21ft1k,31.07,380.33,12,512,208.12
efficientnetv2_xl,30.57,386.62,12,512,208.12
efficientnet_b7,30.54,258.47,8,600,66.35
tf_efficientnet_b7,30.24,261.049,8,600,66.35
tf_efficientnet_b7_ap,30.18,261.545,8,600,66.35
tf_efficientnet_b7_ns,30.17,261.527,8,600,66.35
vit_large_patch16_384,29.1,410.723,12,384,304.72
xcit_small_24_p8_384_dist,28.47,558.499,16,384,47.63
swin_v2_cr_large_384,28.33,421.122,12,384,196.68
ig_resnext101_32x48d,27.82,573.581,16,224,828.41
resnetrs420,25.59,615.408,16,416,191.89
beit_large_patch16_384,24.96,478.806,12,384,305.0
volo_d3_448,23.79,333.801,8,448,86.63
vit_giant_patch14_224,22.41,354.342,8,224,1012.61
resnetv2_152x2_bitm,21.79,364.675,8,448,236.34
xcit_medium_24_p8_384_dist,19.42,408.574,8,384,84.32
nfnet_f4,18.89,630.122,12,512,316.07
resnetv2_101x3_bitm,17.61,452.554,8,448,387.93
dm_nfnet_f4,17.17,693.324,12,512,316.07
volo_d4_448,16.84,353.766,6,448,193.41
efficientnet_b8,14.4,412.697,6,672,87.41
tf_efficientnet_b8_ap,14.32,415.19,6,672,87.41
tf_efficientnet_b8,14.24,417.31,6,672,87.41
nfnet_f5,12.31,643.8,8,544,377.21
cait_m36_384,11.75,507.058,6,384,271.22
xcit_large_24_p8_384_dist,11.36,524.55,6,384,188.93
dm_nfnet_f5,11.21,706.654,8,544,377.21
volo_d5_448,11.01,359.686,4,448,295.91
swin_v2_cr_huge_384,10.89,364.734,4,384,657.94
tf_efficientnet_l2_ns_475,10.43,377.703,4,475,480.31
nfnet_f6,10.18,778.679,8,576,438.36
beit_large_patch16_512,9.37,425.057,4,512,305.67
dm_nfnet_f6,8.56,692.978,6,576,438.36
volo_d5_512,7.76,383.588,3,512,296.09
nfnet_f7,7.54,787.101,6,608,499.5
cait_m48_448,4.71,419.695,2,448,356.46
resnetv2_152x4_bitm,4.53,438.64,2,480,936.53
tf_efficientnet_l2_ns,2.96,331.907,1,800,480.31
efficientnet_l2,2.92,336.419,1,800,480.31