Add PyTorch 1.11 train benchmark numbers

pull/1208/head
Ross Wightman 2 years ago
parent c9f208f7f8
commit 02b806e00a

@ -0,0 +1,756 @@
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
1 model train_samples_per_sec train_step_time train_batch_size train_img_size param_count
2 tinynet_e 9380.97 53.881 512 106 2.04
3 mobilenetv3_small_050 7276.68 69.643 512 224 1.59
4 tf_mobilenetv3_small_minimal_100 6334.14 80.291 512 224 2.04
5 mobilenetv3_small_075 5920.21 85.765 512 224 2.04
6 lcnet_035 5760.61 88.397 512 224 1.64
7 mobilenetv3_small_100 5583.48 90.99 512 224 2.54
8 tf_mobilenetv3_small_075 5569.37 91.204 512 224 2.04
9 levit_128s 5426.95 93.402 512 224 7.78
10 lcnet_050 5425.23 93.895 512 224 1.88
11 tf_mobilenetv3_small_100 5275.47 96.328 512 224 2.54
12 tinynet_d 4879.29 104.179 512 152 2.34
13 mixer_s32_224 4491.84 113.42 512 224 19.1
14 vit_small_patch32_224 4321.32 117.658 512 224 22.88
15 lcnet_075 4147.31 122.971 512 224 2.36
16 levit_128 3971.6 127.764 512 224 9.21
17 vit_tiny_r_s16_p8_224 3957.53 128.516 512 224 6.34
18 lcnet_100 3524.02 144.807 512 224 2.95
19 mnasnet_small 3488.23 145.878 512 224 2.03
20 levit_192 3436.74 147.842 512 224 10.95
21 regnetx_002 3423.6 148.87 512 224 2.68
22 regnety_002 3178.35 160.128 512 224 3.16
23 mobilenetv2_035 3069.55 166.033 512 224 1.68
24 gernet_s 2949.06 172.893 512 224 8.17
25 mnasnet_050 2821.34 180.673 512 224 2.22
26 ssl_resnet18 2720.94 187.823 512 224 11.69
27 swsl_resnet18 2720.55 187.842 512 224 11.69
28 gluon_resnet18_v1b 2718.42 187.998 512 224 11.69
29 resnet18 2711.83 188.459 512 224 11.69
30 semnasnet_050 2700.91 188.67 512 224 2.08
31 tinynet_c 2654.89 191.851 512 184 2.46
32 mobilenetv2_050 2650.81 192.34 512 224 1.97
33 levit_256 2620.65 194.218 512 224 18.89
34 lcnet_150 2613.69 195.4 512 224 4.5
35 regnetx_004 2532.79 201.109 512 224 5.16
36 seresnet18 2519.64 202.716 512 224 11.78
37 legacy_seresnet18 2461.74 207.479 512 224 11.78
38 ese_vovnet19b_slim_dw 2456.97 207.908 512 224 1.9
39 mobilenetv3_large_075 2342.92 217.677 512 224 3.99
40 tf_mobilenetv3_large_minimal_100 2311.18 220.824 512 224 3.92
41 vit_tiny_patch16_224 2249.49 226.757 512 224 5.72
42 levit_256d 2248.95 226.128 512 224 26.21
43 deit_tiny_patch16_224 2244.74 227.248 512 224 5.72
44 tf_mobilenetv3_large_075 2222.25 229.522 512 224 3.99
45 deit_tiny_distilled_patch16_224 2207.23 231.107 512 224 5.91
46 ghostnet_050 2193.43 232.046 512 224 2.59
47 mnasnet_075 2163.05 235.897 512 224 3.17
48 mobilenetv3_rw 2147.03 237.6 512 224 5.48
49 mobilenetv3_large_100_miil 2135.44 238.882 512 224 5.48
50 mobilenetv3_large_100 2134.66 238.979 512 224 5.48
51 resnet18d 2086.64 244.99 512 224 11.71
52 pit_ti_distilled_224 2085.77 244.59 512 224 5.1
53 pit_ti_224 2083.57 244.847 512 224 4.85
54 hardcorenas_a 2050.08 249.015 512 224 5.26
55 regnetx_006 2048.56 249.103 512 224 6.2
56 tf_mobilenetv3_large_100 2046.24 249.335 512 224 5.48
57 ese_vovnet19b_slim 1997.73 255.915 512 224 3.17
58 mnasnet_100 1996.94 255.609 512 224 4.38
59 mnasnet_b1 1993.53 256.025 512 224 4.38
60 xcit_nano_12_p16_224_dist 1946.62 261.255 512 224 3.05
61 xcit_nano_12_p16_224 1946.1 261.308 512 224 3.05
62 semnasnet_075 1927.77 264.67 512 224 2.91
63 hardcorenas_b 1912.19 266.758 512 224 5.18
64 mobilenetv2_075 1888.29 270.368 512 224 2.64
65 hardcorenas_c 1885.12 270.645 512 224 5.52
66 tf_efficientnetv2_b0 1880.38 271.08 512 224 7.14
67 tinynet_b 1857.15 274.614 512 188 3.73
68 regnety_004 1855.83 274.756 512 224 4.34
69 resnetblur18 1846.1 276.978 512 224 11.69
70 regnety_006 1808.76 282.043 512 224 6.06
71 hardcorenas_d 1808.52 281.873 512 224 7.5
72 mnasnet_a1 1796.84 284.044 512 224 3.89
73 semnasnet_100 1784.41 286.019 512 224 3.89
74 spnasnet_100 1782.41 286.288 512 224 4.42
75 skresnet18 1776.65 287.57 512 224 11.96
76 mobilenetv2_100 1761.25 289.902 512 224 3.5
77 mixer_b32_224 1711.23 298.43 512 224 60.29
78 regnetx_008 1669.43 305.887 512 224 7.26
79 levit_384 1662.81 306.81 512 224 39.13
80 vit_base_patch32_224 1658.09 307.969 512 224 88.22
81 vit_base_patch32_224_sam 1657.82 308.015 512 224 88.22
82 efficientnet_lite0 1636.56 312.086 512 224 4.65
83 visformer_tiny 1629.51 313.524 512 224 10.32
84 gluon_resnet34_v1b 1626.25 314.261 512 224 21.8
85 resnet34 1624.32 314.625 512 224 21.8
86 tv_resnet34 1622.42 314.985 512 224 21.8
87 ghostnet_100 1610.26 316.618 512 224 5.18
88 hardcorenas_f 1606.37 317.568 512 224 8.2
89 pit_xs_distilled_224 1596.23 319.885 512 224 11.0
90 pit_xs_224 1595.39 320.023 512 224 10.62
91 hardcorenas_e 1595.11 319.841 512 224 8.07
92 tinynet_a 1592.8 320.187 512 192 6.19
93 resmlp_12_distilled_224 1562.43 326.888 512 224 15.35
94 resmlp_12_224 1562.2 326.933 512 224 15.35
95 regnety_008 1550.03 329.315 512 224 6.26
96 tf_efficientnet_lite0 1547.08 330.18 512 224 4.65
97 mixer_s16_224 1538.34 332.27 512 224 18.53
98 fbnetc_100 1532.35 333.142 512 224 5.57
99 seresnet34 1494.24 341.776 512 224 21.96
100 mnasnet_140 1493.96 341.916 512 224 7.12
101 nf_regnet_b0 1481.15 344.453 512 256 8.76
102 legacy_seresnet34 1458.06 350.271 512 224 21.96
103 gmixer_12_224 1449.53 352.403 512 224 12.7
104 gernet_m 1442.79 354.129 512 224 21.14
105 ese_vovnet19b_dw 1440.24 354.984 512 224 6.54
106 vit_small_patch32_384 1423.05 358.931 512 384 22.92
107 nf_resnet26 1422.6 359.386 512 224 16.0
108 efficientnet_b0 1413.79 270.572 384 224 5.29
109 dla46_c 1408.04 362.893 512 224 1.3
110 rexnetr_100 1385.71 275.935 384 224 4.88
111 mobilenetv2_110d 1384.57 276.313 384 224 4.52
112 rexnet_100 1381.06 276.903 384 224 4.8
113 vit_tiny_r_s16_p8_384 1371.38 279.143 384 384 6.36
114 ghostnet_130 1367.64 372.982 512 224 7.36
115 resnet34d 1367.17 373.876 512 224 21.82
116 tf_efficientnet_b0 1353.9 282.522 384 224 5.29
117 tf_efficientnet_b0_ap 1353.18 282.683 384 224 5.29
118 tf_efficientnet_b0_ns 1352.63 282.744 384 224 5.29
119 selecsls42 1349.71 378.706 512 224 30.35
120 selecsls42b 1347.34 379.337 512 224 32.46
121 gmlp_ti16_224 1340.35 284.915 384 224 5.87
122 regnetz_005 1326.54 384.587 512 224 7.12
123 crossvit_tiny_240 1322.74 385.447 512 240 7.01
124 resnet26 1321.4 386.974 512 224 16.0
125 semnasnet_140 1315.96 388.179 512 224 6.11
126 xcit_tiny_12_p16_224 1309.91 389.1 512 224 6.72
127 xcit_tiny_12_p16_224_dist 1303.81 390.894 512 224 6.72
128 hrnet_w18_small 1302.26 391.765 512 224 13.19
129 efficientnet_b1_pruned 1277.21 399.368 512 240 6.33
130 mobilevit_xxs 1270.89 301.046 384 256 1.27
131 mobilenetv2_140 1250.7 306.236 384 224 6.11
132 poolformer_s12 1245.33 410.466 512 224 11.92
133 crossvit_9_240 1236.49 309.127 384 240 8.55
134 nf_seresnet26 1207.14 423.49 512 224 17.4
135 tf_efficientnetv2_b1 1198.02 319.027 384 240 8.14
136 repvgg_b0 1184.29 431.28 512 224 15.82
137 crossvit_9_dagger_240 1177.9 324.572 384 240 8.78
138 selecsls60 1152.93 443.193 512 224 30.67
139 mixnet_s 1150.64 443.717 512 224 4.13
140 selecsls60b 1149.12 444.678 512 224 32.77
141 efficientnet_es 1142.77 447.293 512 224 5.44
142 efficientnet_es_pruned 1141.22 447.892 512 224 5.44
143 nf_ecaresnet26 1137.4 449.596 512 224 16.0
144 resnet26d 1125.5 454.383 512 224 16.01
145 tf_efficientnet_es 1120.47 456.18 512 224 5.44
146 efficientnet_lite1 1109.69 229.723 256 240 5.42
147 rexnetr_130 1097.15 232.191 256 224 7.61
148 tf_mixnet_s 1090.03 468.412 512 224 4.13
149 convit_tiny 1087.94 469.614 512 224 5.71
150 convnext_nano_hnf 1075.51 356.223 384 224 15.59
151 dla34 1072.51 476.787 512 224 15.74
152 tf_efficientnet_lite1 1061.0 240.288 256 240 5.42
153 dla46x_c 1058.5 482.972 512 224 1.07
154 rexnet_130 1051.04 242.43 256 224 7.56
155 regnetx_016 1042.11 490.415 512 224 9.19
156 mobilenetv2_120d 1036.53 245.787 256 224 5.83
157 skresnet34 1033.13 494.425 512 224 22.28
158 vit_small_patch16_224 1032.86 370.943 384 224 22.05
159 deit_small_patch16_224 1031.61 371.386 384 224 22.05
160 deit_small_distilled_patch16_224 1011.7 378.721 384 224 22.44
161 dla60x_c 1011.12 505.401 512 224 1.32
162 ecaresnet50d_pruned 1009.57 506.231 512 224 19.94
163 gernet_l 1007.43 507.303 512 256 31.08
164 efficientnet_b0_g16_evos 992.51 385.814 384 224 8.11
165 rexnetr_150 973.93 261.684 256 224 9.78
166 vit_base2_patch32_256 970.35 526.818 512 256 119.46
167 pit_s_distilled_224 963.9 264.693 256 224 24.04
168 pit_s_224 963.25 264.885 256 224 23.46
169 fbnetv3_b 936.5 408.4 384 256 8.6
170 rexnet_150 934.54 272.774 256 224 9.73
171 repvgg_a2 931.84 548.616 512 224 28.21
172 legacy_seresnext26_32x4d 930.69 411.955 384 224 16.79
173 regnety_016 921.99 553.558 512 224 11.2
174 resnest14d 909.12 562.716 512 224 10.61
175 efficientnet_cc_b0_4e 892.75 428.931 384 224 13.31
176 efficientnet_cc_b0_8e 889.3 430.599 384 224 24.01
177 coat_lite_tiny 885.61 432.738 384 224 5.72
178 nf_regnet_b1 883.44 578.138 512 288 10.22
179 resnetv2_50 883.05 579.001 512 224 25.55
180 resnext26ts 882.89 434.405 384 256 10.3
181 resnet26t 880.13 581.227 512 256 16.01
182 tf_efficientnetv2_b2 877.18 290.276 256 260 10.1
183 fbnetv3_d 875.63 290.586 256 256 10.31
184 nf_regnet_b2 875.24 583.366 512 272 14.31
185 tf_efficientnet_cc_b0_4e 872.5 438.913 384 224 13.31
186 tf_efficientnet_cc_b0_8e 867.49 441.45 384 224 24.01
187 efficientnet_b0_gn 860.35 296.448 256 224 5.29
188 eca_resnext26ts 852.81 299.643 256 256 10.3
189 seresnext26ts 848.06 301.17 256 256 10.39
190 botnet26t_256 835.32 459.139 384 256 12.49
191 gluon_resnet50_v1b 835.19 458.946 384 224 25.56
192 twins_svt_small 835.02 458.264 384 224 24.06
193 swsl_resnet50 834.38 459.391 384 224 25.56
194 resnet50 833.17 460.051 384 224 25.56
195 tf_efficientnet_b1_ap 832.71 305.903 256 240 7.79
196 tf_efficientnet_b1 832.37 306.044 256 240 7.79
197 tf_efficientnet_b1_ns 831.62 306.366 256 240 7.79
198 tv_resnet50 831.54 460.947 384 224 25.56
199 efficientnet_b2_pruned 831.45 306.38 256 260 8.31
200 seresnext26tn_32x4d 831.09 461.371 384 224 16.81
201 seresnext26d_32x4d 830.66 461.598 384 224 16.81
202 gcresnext26ts 830.6 307.372 256 256 10.48
203 seresnext26t_32x4d 830.1 461.943 384 224 16.81
204 ssl_resnet50 828.96 462.397 384 224 25.56
205 coat_lite_mini 825.96 464.063 384 224 11.01
206 vgg11 818.58 625.301 512 224 132.86
207 halonet26t 813.08 471.69 384 256 12.48
208 vit_small_resnet26d_224 812.32 471.613 384 224 63.61
209 eca_botnext26ts_256 804.88 317.468 256 256 10.59
210 efficientnet_lite2 800.14 318.978 256 260 6.09
211 efficientnet_b1 797.8 319.366 256 256 7.79
212 resnetv2_50t 793.9 644.111 512 224 25.57
213 ecaresnext26t_32x4d 792.87 483.752 384 224 15.41
214 ecaresnext50t_32x4d 790.88 484.99 384 224 15.41
215 resnetv2_50d 790.5 646.873 512 224 25.57
216 tresnet_m 787.27 647.568 512 224 31.39
217 convnext_tiny 782.73 326.109 256 224 28.59
218 eca_halonext26ts 781.32 327.03 256 256 10.76
219 vovnet39a 779.14 656.53 512 224 22.6
220 ecaresnet101d_pruned 778.75 655.702 512 224 24.88
221 mixnet_m 778.63 491.619 384 224 5.01
222 cspresnet50 774.32 495.068 384 256 21.62
223 tf_efficientnet_lite2 771.04 331.043 256 260 6.09
224 gluon_resnet50_v1c 769.5 498.184 384 224 25.58
225 ecaresnetlight 767.59 666.098 512 224 30.16
226 resmlp_24_224 766.31 332.575 256 224 30.02
227 resmlp_24_distilled_224 766.21 332.58 256 224 30.02
228 cspresnext50 765.28 500.93 384 224 20.57
229 resnet50t 753.13 509.003 384 224 25.57
230 resnet50d 752.95 509.12 384 224 25.58
231 gluon_resnet50_v1d 752.94 509.122 384 224 25.58
232 legacy_seresnet50 751.28 510.001 384 224 28.09
233 mobilevit_xs 751.23 339.638 256 256 2.32
234 tf_mixnet_m 748.19 511.684 384 224 5.01
235 ese_vovnet39b 748.06 683.786 512 224 24.57
236 resnet32ts 744.11 343.453 256 256 17.96
237 visformer_small 743.29 515.928 384 224 40.22
238 dpn68b 737.5 519.461 384 224 12.61
239 selecsls84 735.99 694.378 512 224 50.95
240 resnet33ts 732.63 348.809 256 256 19.68
241 nf_seresnet50 732.06 523.375 384 224 28.09
242 rexnetr_200 724.64 263.786 192 224 16.52
243 lambda_resnet26t 724.61 529.342 384 256 10.96
244 seresnet50 722.32 530.5 384 224 28.09
245 dpn68 721.48 531.095 384 224 12.61
246 res2net50_48w_2s 717.64 534.245 384 224 25.29
247 gmixer_24_224 717.31 355.331 256 224 24.72
248 eca_resnet33ts 712.11 358.824 256 256 19.68
249 seresnet33ts 709.27 360.12 256 256 19.78
250 bat_resnext26ts 708.45 360.137 256 256 10.73
251 rexnet_200 703.57 271.754 192 224 16.37
252 resnetblur50 702.19 546.026 384 224 25.56
253 cspresnet50d 701.76 546.305 384 256 21.64
254 vgg11_bn 698.67 549.368 384 224 132.87
255 twins_pcpvt_small 698.21 364.986 256 224 24.11
256 eca_vovnet39b 697.82 733.074 512 224 22.6
257 efficientnet_em 694.64 551.807 384 240 6.9
258 dla60 693.8 552.499 384 224 22.04
259 tf_efficientnet_em 692.96 368.419 256 240 6.9
260 cspresnet50w 692.76 553.433 384 256 28.12
261 resnest26d 688.5 556.976 384 224 17.07
262 gcresnet33ts 687.02 371.584 256 256 19.88
263 tv_densenet121 686.65 371.007 256 224 7.98
264 densenet121 686.51 371.091 256 224 7.98
265 vit_small_r26_s32_224 685.79 371.994 256 224 36.43
266 convnext_tiny_hnf 683.74 373.449 256 224 28.59
267 xcit_nano_12_p16_384_dist 682.7 373.202 256 384 3.05
268 xcit_tiny_24_p16_224_dist 681.26 372.348 256 224 12.12
269 lambda_resnet26rpt_256 679.63 281.896 192 256 10.99
270 xcit_tiny_24_p16_224 679.38 373.443 256 224 12.12
271 vit_base_resnet26d_224 679.21 563.967 384 224 101.4
272 resnetaa50d 678.8 564.84 384 224 25.58
273 nf_ecaresnet50 673.73 568.984 384 224 25.56
274 hrnet_w18_small_v2 672.52 758.874 512 224 15.6
275 gluon_resnet50_v1s 671.98 570.574 384 224 25.68
276 efficientnet_b0_g8_gn 661.67 385.796 256 224 6.56
277 seresnet50t 659.6 581.03 384 224 28.1
278 efficientnet_b3_pruned 657.34 387.781 256 300 9.86
279 haloregnetz_b 656.48 388.419 256 224 11.68
280 tv_resnext50_32x4d 651.27 588.791 384 224 25.03
281 swsl_resnext50_32x4d 651.11 588.925 384 224 25.03
282 gluon_resnext50_32x4d 650.97 589.059 384 224 25.03
283 ssl_resnext50_32x4d 650.9 589.136 384 224 25.03
284 resnext50_32x4d 649.99 589.957 384 224 25.03
285 resnetrs50 648.71 590.781 384 224 35.69
286 densenet121d 646.33 394.275 256 224 8.0
287 regnetx_032 643.77 595.296 384 224 15.3
288 resnetblur50d 642.77 397.429 256 224 25.58
289 res2net50_26w_4s 636.71 601.86 384 224 25.7
290 swin_tiny_patch4_window7_224 635.13 402.044 256 224 28.29
291 skresnet50 634.96 603.369 384 224 25.8
292 poolformer_s24 634.53 402.132 256 224 21.39
293 gmlp_s16_224 632.58 301.939 192 224 19.42
294 ese_vovnet57b 632.35 606.334 384 224 38.61
295 crossvit_small_240 625.73 407.457 256 240 26.86
296 xcit_small_12_p16_224_dist 625.08 407.723 256 224 26.25
297 xcit_small_12_p16_224 624.67 407.992 256 224 26.25
298 densenetblur121d 617.78 412.569 256 224 8.0
299 ecaresnet50d 612.94 625.548 384 224 25.58
300 tf_efficientnet_b2_ns 610.27 313.114 192 260 9.11
301 tf_efficientnet_b2_ap 610.1 313.168 192 260 9.11
302 tf_efficientnet_b2 609.89 313.274 192 260 9.11
303 mixnet_l 603.6 634.707 384 224 7.33
304 gluon_inception_v3 601.71 636.771 384 299 23.83
305 inception_v3 601.07 637.475 384 299 23.83
306 adv_inception_v3 601.02 637.509 384 299 23.83
307 tf_inception_v3 600.65 637.912 384 299 23.83
308 sehalonet33ts 599.96 425.883 256 256 13.69
309 seresnetaa50d 599.53 425.823 256 224 28.11
310 resnext50d_32x4d 598.58 426.825 256 224 25.05
311 mobilevit_s 596.24 320.895 192 256 5.58
312 resnetv2_50x1_bit_distilled 588.8 325.252 192 224 25.55
313 gcresnet50t 583.98 436.858 256 256 25.9
314 skresnet50d 583.54 437.238 256 224 25.82
315 swin_s3_tiny_224 576.57 442.971 256 224 28.33
316 seresnext50_32x4d 576.37 443.036 256 224 27.56
317 gluon_seresnext50_32x4d 576.3 443.051 256 224 27.56
318 tf_mixnet_l 576.22 442.743 256 224 7.33
319 legacy_seresnext50_32x4d 575.52 443.681 256 224 27.56
320 res2next50 575.07 443.835 256 224 24.67
321 repvgg_b1g4 572.25 893.649 512 224 39.97
322 cspresnext50_iabn 572.06 669.169 384 256 20.57
323 convnext_tiny_hnfd 570.41 447.777 256 224 28.63
324 res2net50_14w_8s 569.05 447.639 256 224 25.06
325 resnest50d_1s4x24d 568.93 448.655 256 224 25.68
326 cait_xxs24_224 568.71 447.7 256 224 11.96
327 crossvit_15_240 567.12 336.74 192 240 27.53
328 semobilevit_s 566.94 337.375 192 256 5.74
329 densenet169 563.82 451.519 256 224 14.15
330 efficientnet_b2 561.37 340.497 192 288 9.11
331 efficientnet_cc_b1_8e 559.34 455.785 256 240 39.72
332 efficientnet_b2a 558.58 342.255 192 288 9.11
333 darknet53 556.85 458.909 256 256 41.61
334 dla60_res2net 555.54 459.405 256 224 20.85
335 dla60x 553.4 461.598 256 224 17.35
336 mixer_b16_224 552.46 462.598 256 224 59.88
337 nf_resnet101 550.61 695.793 384 224 44.55
338 tf_efficientnet_cc_b1_8e 549.81 463.949 256 240 39.72
339 regnetx_040 549.5 697.703 384 224 22.12
340 mixer_b16_224_miil 549.25 465.267 256 224 59.88
341 crossvit_15_dagger_240 547.66 348.734 192 240 28.21
342 nf_regnet_b3 547.65 465.691 256 320 18.59
343 vovnet57a 547.59 934.12 512 224 36.64
344 resnetv2_101 544.49 468.639 256 224 44.54
345 xcit_nano_12_p8_224 542.16 470.425 256 224 3.05
346 xcit_nano_12_p8_224_dist 541.55 470.928 256 224 3.05
347 tf_efficientnetv2_b3 541.54 352.751 192 300 14.36
348 sebotnet33ts_256 540.04 236.225 128 256 13.7
349 gcresnext50ts 538.97 354.583 192 256 15.67
350 nf_resnet50 536.27 715.168 384 288 25.56
351 resnet50_gn 532.97 359.41 192 224 25.56
352 vit_base_r26_s32_224 532.84 359.064 192 224 101.38
353 vit_base_patch32_384 531.15 481.156 256 384 88.3
354 efficientnetv2_rw_t 527.04 362.193 192 288 13.65
355 resnet101 526.31 484.87 256 224 44.55
356 gluon_resnet101_v1b 525.74 485.353 256 224 44.55
357 tv_resnet101 523.69 487.267 256 224 44.55
358 vit_large_patch32_224 515.11 495.389 256 224 306.54
359 vit_base_resnet50d_224 514.44 495.989 256 224 110.97
360 mixer_l32_224 507.93 376.544 192 224 206.94
361 resnetv2_101d 506.46 503.899 256 224 44.56
362 swin_v2_cr_tiny_224 505.66 378.391 192 224 28.33
363 vit_tiny_patch16_384 505.36 252.456 128 384 5.79
364 resmlp_36_224 505.0 378.005 192 224 44.69
365 resmlp_36_distilled_224 504.83 378.088 192 224 44.69
366 swin_v2_cr_tiny_ns_224 503.02 380.384 192 224 28.33
367 repvgg_b1 501.28 1020.314 512 224 57.42
368 dla60_res2next 500.08 510.484 256 224 17.03
369 gluon_resnet101_v1c 498.53 511.943 256 224 44.57
370 wide_resnet50_2 491.97 779.7 384 224 68.88
371 gluon_resnet101_v1d 491.71 519.004 256 224 44.57
372 resnest50d 484.85 526.671 256 224 27.48
373 vgg13 482.75 795.25 384 224 133.05
374 cspdarknet53 481.82 530.306 256 256 27.64
375 gc_efficientnetv2_rw_t 480.93 396.503 192 288 13.68
376 convnext_small 478.98 399.137 192 224 50.22
377 efficientnet_lite3 478.82 266.239 128 300 8.2
378 ecaresnet26t 478.49 534.465 256 320 16.01
379 nest_tiny 477.21 267.341 128 224 17.06
380 regnetz_b16 476.53 401.488 192 288 9.72
381 dla102 475.31 537.042 256 224 33.27
382 cspdarknet53_iabn 474.61 806.628 384 256 27.64
383 res2net50_26w_6s 474.4 537.903 256 224 37.05
384 jx_nest_tiny 469.53 271.701 128 224 17.06
385 twins_pcpvt_base 465.48 409.697 192 224 43.83
386 vgg13_bn 465.35 549.842 256 224 133.05
387 halonet50ts 463.11 413.595 192 256 22.73
388 regnetx_080 462.29 829.538 384 224 39.57
389 lambda_resnet50ts 461.63 414.909 192 256 21.54
390 coat_lite_small 461.47 414.609 192 224 19.84
391 legacy_seresnet101 460.47 553.804 256 224 49.33
392 vgg16 459.25 557.204 256 224 138.36
393 tf_efficientnet_lite3 458.84 277.849 128 300 8.2
394 resnetaa101d 458.35 556.916 256 224 44.57
395 gluon_resnet101_v1s 456.37 559.352 256 224 44.67
396 xcit_tiny_12_p16_384_dist 451.6 423.4 192 384 6.72
397 seresnet101 447.82 569.466 256 224 49.33
398 densenet201 447.49 426.067 192 224 20.01
399 mixnet_xl 447.09 570.692 256 224 11.9
400 nf_seresnet101 444.89 573.162 256 224 49.33
401 convit_small 441.84 433.517 192 224 27.78
402 resnetblur101d 441.53 578.26 256 224 44.57
403 nfnet_l0 426.47 599.103 256 288 35.07
404 skresnext50_32x4d 424.37 601.881 256 224 27.48
405 poolformer_s36 424.29 450.68 192 224 30.86
406 botnet50ts_256 421.6 302.649 128 256 22.74
407 halo2botnet50ts_256 418.8 457.379 192 256 22.64
408 gluon_resnext101_32x4d 418.26 610.512 256 224 44.18
409 resnext101_32x4d 417.6 611.486 256 224 44.18
410 ssl_resnext101_32x4d 417.52 611.578 256 224 44.18
411 swsl_resnext101_32x4d 417.45 611.654 256 224 44.18
412 fbnetv3_g 415.62 305.885 128 288 16.62
413 twins_svt_base 413.84 461.835 192 224 56.07
414 ese_vovnet39b_evos 413.01 308.979 128 224 24.58
415 res2net101_26w_4s 405.25 629.29 256 224 45.21
416 eca_nfnet_l0 404.73 631.533 256 288 24.14
417 tresnet_l 403.54 1265.42 512 224 55.99
418 lamhalobotnet50ts_256 403.43 474.897 192 256 22.57
419 volo_d1_224 400.45 478.074 192 224 26.63
420 crossvit_18_240 400.32 317.735 128 240 43.27
421 resnet51q 397.98 481.556 192 288 35.7
422 nf_ecaresnet101 396.22 644.266 256 224 44.55
423 dla102x 392.86 487.139 192 224 26.31
424 vit_base_patch16_224_miil 392.0 489.026 192 224 86.54
425 swin_small_patch4_window7_224 391.85 488.136 192 224 49.61
426 regnety_032 391.81 651.958 256 288 19.44
427 regnetx_064 390.82 654.137 256 224 26.21
428 res2net50_26w_8s 389.26 655.478 256 224 48.4
429 vgg16_bn 388.47 658.66 256 224 138.37
430 deit_base_patch16_224 386.56 495.833 192 224 86.57
431 crossvit_18_dagger_240 386.08 329.466 128 240 44.27
432 vit_base_patch16_224 385.82 496.783 192 224 86.57
433 resnest50d_4s2x40d 385.78 662.242 256 224 30.42
434 xception 384.95 331.72 128 299 22.86
435 vit_base_patch16_224_sam 384.94 497.961 192 224 86.57
436 ecaresnet101d 381.61 669.061 256 224 44.57
437 deit_base_distilled_patch16_224 379.86 504.583 192 224 87.34
438 resnetv2_152 379.0 673.236 256 224 60.19
439 repvgg_b2g4 377.95 1353.629 512 224 61.76
440 ese_vovnet99b 373.94 683.067 256 224 63.2
441 vit_small_resnet50d_s16_224 373.61 512.677 192 224 57.53
442 cait_xxs36_224 371.71 512.777 192 224 17.3
443 resnet152 371.52 514.561 192 224 60.19
444 tv_resnet152 371.15 515.007 192 224 60.19
445 gluon_resnet152_v1b 368.93 518.118 192 224 60.19
446 gluon_seresnext101_32x4d 368.19 519.228 192 224 48.96
447 seresnext101_32x4d 367.5 520.242 192 224 48.96
448 nfnet_f0 366.97 696.402 256 256 71.49
449 legacy_seresnext101_32x4d 366.06 522.375 192 224 48.96
450 tf_efficientnet_b3_ap 364.58 349.402 128 300 12.23
451 tf_efficientnet_b3_ns 364.49 349.53 128 300 12.23
452 tf_efficientnet_b3 364.34 349.633 128 300 12.23
453 resnetv2_152d 361.2 529.264 192 224 60.2
454 resnet61q 358.48 356.024 128 288 36.85
455 resnetv2_50d_frn 357.45 356.923 128 224 25.59
456 ese_vovnet99b_iabn 357.31 1071.637 384 224 63.2
457 gluon_resnet152_v1c 355.88 537.206 192 224 60.21
458 hrnet_w18 355.73 714.824 256 224 21.3
459 efficientnet_b3 355.08 358.849 128 320 12.23
460 efficientnet_b3a 354.83 359.115 128 320 12.23
461 regnety_040 354.78 539.617 192 288 20.65
462 beit_base_patch16_224 353.55 541.973 192 224 86.53
463 gluon_resnet152_v1d 353.52 540.757 192 224 60.21
464 regnety_040s_gn 353.11 360.919 128 224 20.65
465 vgg19 352.0 1090.659 384 224 143.67
466 xcit_tiny_12_p8_224 351.32 362.59 128 224 6.71
467 xcit_tiny_12_p8_224_dist 351.06 362.838 128 224 6.71
468 xception41p 343.38 371.913 128 299 26.91
469 regnetv_040 342.33 372.402 128 288 20.64
470 tnt_s_patch16_224 339.73 563.196 192 224 23.76
471 repvgg_b2 339.2 1508.352 512 224 89.02
472 vgg19_bn 336.08 761.352 256 224 143.68
473 gluon_resnet152_v1s 334.98 570.781 192 224 60.32
474 densenet161 332.41 382.595 128 224 28.68
475 dm_nfnet_f0 331.82 770.266 256 256 71.49
476 dla169 331.14 577.405 192 224 53.39
477 resnetv2_50d_gn 330.91 385.985 128 288 25.57
478 convnext_base_in22ft1k 328.04 388.471 128 224 88.59
479 convnext_tiny_in22ft1k 327.7 388.845 128 224 88.59
480 convnext_small_in22ft1k 326.36 390.508 128 224 88.59
481 convnext_base 325.78 391.109 128 224 88.59
482 xcit_small_24_p16_224_dist 322.26 393.856 128 224 47.67
483 xcit_small_24_p16_224 321.22 395.027 128 224 47.67
484 repvgg_b3g4 321.08 1194.912 384 224 83.83
485 pit_b_224 319.89 399.203 128 224 73.76
486 twins_pcpvt_large 319.03 397.109 128 224 60.99
487 pit_b_distilled_224 318.55 400.853 128 224 74.79
488 legacy_seresnet152 315.59 605.069 192 224 66.82
489 dpn92 314.54 812.398 256 224 37.67
490 inception_v4 312.24 612.734 192 299 42.68
491 regnetx_120 309.13 827.171 256 224 46.11
492 hrnet_w32 308.88 823.922 256 224 41.23
493 convmixer_1024_20_ks9_p14 308.12 830.025 256 224 24.38
494 ecaresnet50t 306.63 416.493 128 320 25.57
495 seresnet152 305.84 415.318 128 224 66.82
496 coat_tiny 303.51 419.779 128 224 5.5
497 vit_small_patch16_36x1_224 303.33 419.341 128 224 64.67
498 regnetz_c16 302.72 421.37 128 320 13.46
499 vit_small_patch16_18x2_224 302.0 421.199 128 224 64.67
500 hrnet_w30 301.17 845.104 256 224 37.71
501 swin_v2_cr_small_224 300.16 424.024 128 224 49.7
502 nest_small 296.43 322.186 96 224 38.35
503 tresnet_xl 295.35 1296.648 384 224 78.44
504 jx_nest_small 294.56 324.278 96 224 38.35
505 efficientnet_el 291.47 438.031 128 300 10.59
506 xception41 291.46 437.936 128 299 26.97
507 efficientnet_el_pruned 291.16 438.564 128 300 10.59
508 regnety_120 291.14 658.173 192 224 51.82
509 cait_s24_224 290.55 438.065 128 224 46.92
510 nf_regnet_b4 288.27 441.948 128 384 30.21
511 twins_svt_large 288.14 442.123 128 224 99.27
512 wide_resnet101_2 287.9 665.343 192 224 126.89
513 mixnet_xxl 287.84 442.746 128 224 23.96
514 tf_efficientnet_el 286.59 445.507 128 300 10.59
515 poolformer_m36 284.22 448.517 128 224 56.17
516 swin_s3_small_224 277.99 343.436 96 224 49.74
517 repvgg_b3 276.27 1388.871 384 224 123.09
518 swin_base_patch4_window7_224 273.38 466.273 128 224 87.77
519 gmlp_b16_224 266.77 358.289 96 224 73.08
520 gluon_resnext101_64x4d 266.55 478.624 128 224 83.46
521 dla102x2 265.99 479.601 128 224 41.28
522 resnet200 264.41 481.093 128 224 64.67
523 resnetv2_50d_evob 261.14 366.354 96 224 25.59
524 regnetx_160 260.8 735.124 192 224 54.28
525 xception65p 258.86 493.161 128 299 39.82
526 inception_resnet_v2 255.7 747.606 192 299 55.84
527 ens_adv_inception_resnet_v2 255.53 748.108 192 299 55.84
528 resnetrs101 253.22 503.169 128 288 63.62
529 resnext101_32x8d 252.1 506.144 128 224 88.79
530 ig_resnext101_32x8d 251.82 506.789 128 224 88.79
531 ssl_resnext101_32x8d 251.44 507.525 128 224 88.79
532 swsl_resnext101_32x8d 251.43 507.504 128 224 88.79
533 crossvit_base_240 250.95 380.881 96 240 105.03
534 dpn98 249.4 511.692 128 224 61.57
535 efficientnet_lite4 247.4 257.372 64 380 13.01
536 coat_mini 246.33 517.632 128 224 10.34
537 efficientnetv2_s 245.94 388.167 96 384 21.46
538 gluon_seresnext101_64x4d 243.95 522.441 128 224 88.23
539 tf_efficientnetv2_s_in21ft1k 243.54 391.981 96 384 21.46
540 tf_efficientnetv2_s 242.89 393.02 96 384 21.46
541 resnet101d 240.52 530.628 128 320 44.57
542 resnest101e 240.15 530.415 128 256 48.28
543 tf_efficientnet_lite4 239.36 265.97 64 380 13.01
544 vit_small_patch16_384 235.44 270.99 64 384 22.2
545 xcit_tiny_24_p16_384_dist 233.56 407.54 96 384 12.12
546 efficientnetv2_rw_s 232.48 273.03 64 384 23.94
547 regnety_064 232.21 549.529 128 288 30.58
548 xcit_medium_24_p16_224_dist 231.18 550.33 128 224 84.4
549 xcit_medium_24_p16_224 231.11 550.432 128 224 84.4
550 vit_large_r50_s32_224 229.5 415.85 96 224 328.99
551 regnetv_064 225.87 564.974 128 288 30.58
552 vit_small_r26_s32_384 225.43 282.622 64 384 36.47
553 convit_base 225.0 567.909 128 224 86.54
554 gluon_xception65 223.32 427.945 96 299 39.92
555 xception65 222.42 429.727 96 299 39.92
556 tnt_b_patch16_224 222.32 573.844 128 224 65.41
557 volo_d2_224 221.58 431.459 96 224 58.68
558 regnety_080 221.2 577.488 128 288 39.18
559 hrnet_w40 220.15 867.238 192 224 57.56
560 swin_s3_base_224 219.92 433.728 96 224 71.13
561 xcit_small_12_p16_384_dist 216.0 442.656 96 384 26.25
562 swin_v2_cr_base_224 214.24 445.643 96 224 87.88
563 hrnet_w48 213.16 895.867 192 224 77.47
564 resnetv2_50d_evos 211.1 226.199 48 288 25.59
565 nest_base 210.29 302.692 64 224 67.72
566 jx_nest_base 209.17 304.343 64 224 67.72
567 vit_base_r50_s16_224 208.73 458.333 96 224 98.66
568 tresnet_m_448 206.95 924.987 192 448 31.39
569 hrnet_w44 206.72 924.031 192 224 67.06
570 efficientnet_b4 203.38 312.633 64 384 19.34
571 regnetz_b16_evos 201.27 316.106 64 288 9.74
572 regnetz_040h 199.85 318.401 64 320 28.94
573 regnetz_040 199.66 318.691 64 320 27.12
574 efficientnet_b3_gn 199.47 319.133 64 320 11.73
575 densenet264 199.22 477.999 96 224 72.69
576 regnetz_d8 197.46 322.524 64 320 23.37
577 eca_nfnet_l1 189.9 672.191 128 320 41.41
578 tf_efficientnet_b4 188.81 336.904 64 380 19.34
579 tf_efficientnet_b4_ns 188.45 337.501 64 380 19.34
580 tf_efficientnet_b4_ap 188.4 337.642 64 380 19.34
581 poolformer_m48 187.63 509.206 96 224 73.47
582 dpn131 186.23 685.159 128 224 79.25
583 regnetz_d32 186.08 342.366 64 320 27.58
584 xcit_nano_12_p8_384_dist 183.21 347.477 64 384 3.05
585 convnext_large_in22ft1k 182.13 525.349 96 224 197.77
586 convnext_large 180.72 529.451 96 224 197.77
587 xcit_tiny_24_p8_224_dist 179.19 532.437 96 224 12.11
588 xcit_tiny_24_p8_224 179.14 532.524 96 224 12.11
589 dpn107 174.56 731.55 128 224 86.92
590 resnet152d 172.45 554.35 96 320 60.21
591 hrnet_w64 170.75 744.856 128 224 128.06
592 halonet_h1 170.55 373.795 64 256 8.1
593 xception71 168.15 378.514 64 299 42.34
594 mixer_l16_224 167.46 571.737 96 224 208.2
595 regnety_320 166.3 768.299 128 224 145.05
596 vit_large_patch32_384 165.23 579.454 96 384 306.63
597 densenet264d_iabn 165.07 1158.795 192 224 72.74
598 xcit_small_12_p8_224 164.33 387.646 64 224 26.21
599 xcit_small_12_p8_224_dist 164.16 388.107 64 224 26.21
600 efficientnet_b3_g8_gn 153.99 413.949 64 320 14.25
601 swin_large_patch4_window7_224 152.41 417.988 64 224 196.53
602 volo_d3_224 152.25 417.779 64 224 86.33
603 ecaresnet200d 150.97 632.522 96 256 64.69
604 seresnet200d 149.9 422.786 64 256 71.86
605 regnetx_320 146.61 871.937 128 224 107.81
606 seresnet152d 143.56 442.443 64 320 66.84
607 resnetv2_50x1_bitm 142.06 337.009 48 448 25.55
608 gluon_senet154 141.6 674.51 96 224 115.09
609 resnetrs152 141.55 448.821 64 320 86.62
610 senet154 141.16 676.729 96 224 115.09
611 legacy_senet154 139.88 683.0 96 224 115.09
612 regnety_160 136.04 704.372 96 288 83.59
613 xcit_large_24_p16_224_dist 130.76 486.175 64 224 189.1
614 xcit_large_24_p16_224 130.33 487.671 64 224 189.1
615 seresnext101_32x8d 126.87 502.294 64 288 93.57
616 nfnet_f1 125.34 763.802 96 320 132.63
617 resnet200d 124.61 510.654 64 320 64.69
618 regnetz_c16_evos 123.93 385.448 48 320 13.49
619 resnext101_64x4d 122.56 781.647 96 288 83.46
620 efficientnetv2_m 120.01 396.838 48 416 54.14
621 swin_v2_cr_large_224 119.95 397.782 48 224 196.68
622 xcit_tiny_12_p8_384_dist 119.32 400.563 48 384 6.71
623 vit_large_patch16_224 116.44 548.026 64 224 304.33
624 crossvit_15_dagger_408 116.23 273.461 32 408 28.5
625 seresnet269d 116.02 545.703 64 256 113.67
626 vit_base_patch16_18x2_224 115.21 552.796 64 224 256.73
627 convnext_xlarge_in22ft1k 113.61 561.618 64 224 350.2
628 convnext_base_384_in22ft1k 112.88 423.483 48 384 88.59
629 dm_nfnet_f1 112.71 565.567 64 320 132.63
630 convnext_tiny_384_in22ft1k 112.65 424.398 48 384 88.59
631 convnext_small_384_in22ft1k 112.59 424.604 48 384 88.59
632 nf_regnet_b5 112.22 567.655 64 456 49.74
633 swin_v2_cr_tiny_384 111.16 286.572 32 384 28.33
634 xcit_small_24_p16_384_dist 110.42 431.325 48 384 47.67
635 beit_large_patch16_224 107.44 593.678 64 224 304.43
636 regnetz_e8 103.46 461.955 48 320 57.7
637 efficientnetv2_rw_m 103.11 307.008 32 416 53.24
638 tresnet_l_448 101.52 1257.535 128 448 55.99
639 swsl_resnext101_32x16d 99.54 962.862 96 224 194.03
640 ig_resnext101_32x16d 99.3 965.129 96 224 194.03
641 ssl_resnext101_32x16d 99.25 965.706 96 224 194.03
642 volo_d1_384 98.94 322.06 32 384 26.78
643 resnetrs200 98.6 482.325 48 320 93.21
644 cait_xxs24_384 97.24 491.195 48 384 12.03
645 deit_base_patch16_384 95.92 332.748 32 384 86.86
646 vit_base_patch16_384 95.88 332.951 32 384 86.86
647 volo_d4_224 95.4 500.622 48 224 192.96
648 eca_nfnet_l2 94.36 675.671 64 384 56.72
649 deit_base_distilled_patch16_384 93.97 339.685 32 384 87.63
650 efficientnet_b5 90.42 351.458 32 456 30.39
651 tf_efficientnetv2_m 89.36 354.724 32 480 54.14
652 tf_efficientnetv2_m_in21ft1k 89.12 355.723 32 480 54.14
653 tf_efficientnet_b5 88.7 358.215 32 456 30.39
654 tf_efficientnet_b5_ap 88.68 358.368 32 456 30.39
655 tf_efficientnet_b5_ns 88.58 358.774 32 456 30.39
656 crossvit_18_dagger_408 87.86 362.177 32 408 44.61
657 resnetv2_101x1_bitm 87.29 364.971 32 448 44.54
658 convmixer_768_32 87.13 1100.537 96 224 21.11
659 resnetv2_152x2_bit_teacher 87.1 364.899 32 224 236.34
660 vit_large_patch14_224 84.6 565.739 48 224 304.2
661 regnetz_d8_evos 83.97 379.015 32 320 23.46
662 beit_base_patch16_384 82.88 385.038 32 384 86.74
663 xcit_small_24_p8_224_dist 82.62 383.85 32 224 47.63
664 xcit_small_24_p8_224 82.5 384.488 32 224 47.63
665 resnest200e 79.64 597.77 48 320 70.2
666 tresnet_xl_448 77.44 1236.244 96 448 78.44
667 xcit_medium_24_p16_384_dist 76.61 414.275 32 384 84.4
668 vit_large_r50_s32_384 76.27 417.132 32 384 329.09
669 swin_base_patch4_window12_384 73.39 434.11 32 384 87.9
670 nfnet_f2 71.5 668.121 48 352 193.78
671 resmlp_big_24_224_in22ft1k 68.15 468.085 32 224 129.14
672 resmlp_big_24_224 68.13 468.141 32 224 129.14
673 resmlp_big_24_distilled_224 68.08 468.542 32 224 129.14
674 pnasnet5large 66.87 474.686 32 331 86.06
675 swin_v2_cr_small_384 66.28 359.629 24 384 49.7
676 nasnetalarge 65.59 482.923 32 331 88.75
677 cait_xs24_384 65.34 487.167 32 384 26.67
678 dm_nfnet_f2 64.55 740.206 48 352 193.78
679 cait_xxs36_384 62.84 505.392 32 384 17.37
680 vit_base_patch8_224 62.83 381.142 24 224 86.58
681 convnext_large_384_in22ft1k 61.61 517.714 32 384 197.77
682 ecaresnet269d 61.52 515.695 32 352 102.09
683 volo_d5_224 61.49 517.153 32 224 295.46
684 xcit_tiny_24_p8_384_dist 60.46 525.849 32 384 12.11
685 xcit_medium_24_p8_224 59.24 536.775 32 224 84.32
686 xcit_medium_24_p8_224_dist 59.23 536.852 32 224 84.32
687 vit_base_resnet50_384 58.93 405.608 24 384 98.95
688 vit_base_r50_s16_384 58.91 405.68 24 384 98.95
689 resnetrs270 58.9 537.38 32 352 129.86
690 xcit_small_12_p8_384_dist 56.03 426.632 24 384 26.21
691 volo_d2_384 55.33 287.363 16 384 58.87
692 ig_resnext101_32x32d 52.68 605.908 32 224 468.53
693 eca_nfnet_l3 50.62 628.636 32 448 72.04
694 convmixer_1536_20 49.63 966.338 48 224 51.63
695 cait_s24_384 49.12 486.034 24 384 47.06
696 efficientnet_b6 48.5 327.112 16 528 43.04
697 tf_efficientnet_b6_ns 48.02 330.391 16 528 43.04
698 tf_efficientnet_b6_ap 47.83 331.608 16 528 43.04
699 tf_efficientnet_b6 47.78 331.966 16 528 43.04
700 efficientnetv2_l 47.17 334.927 16 480 118.52
701 swin_v2_cr_base_384 47.07 337.445 16 384 87.88
702 tf_efficientnetv2_l_in21ft1k 46.85 337.127 16 480 118.52
703 tf_efficientnetv2_l 46.53 339.329 16 480 118.52
704 swin_v2_cr_huge_224 46.2 343.813 16 224 657.83
705 xcit_large_24_p16_384_dist 44.95 530.527 24 384 189.1
706 swin_large_patch4_window12_384 41.24 386.07 16 384 196.74
707 vit_huge_patch14_224 39.65 401.44 16 224 632.05
708 resnetrs350 37.15 638.194 24 384 163.96
709 convnext_xlarge_384_in22ft1k 36.94 431.409 16 384 350.2
710 nfnet_f3 35.43 673.367 24 416 254.92
711 resnest269e 33.7 705.124 24 416 110.93
712 xcit_large_24_p8_224_dist 33.34 476.606 16 224 188.93
713 xcit_large_24_p8_224 33.33 476.71 16 224 188.93
714 dm_nfnet_f3 32.28 738.882 24 416 254.92
715 resnetv2_50x3_bitm 31.96 499.813 16 448 217.32
716 cait_s36_384 31.71 500.682 16 384 68.37
717 resnetv2_152x2_bit_teacher_384 31.41 506.876 16 384 236.34
718 tf_efficientnetv2_xl_in21ft1k 31.07 380.33 12 512 208.12
719 efficientnetv2_xl 30.57 386.62 12 512 208.12
720 efficientnet_b7 30.54 258.47 8 600 66.35
721 tf_efficientnet_b7 30.24 261.049 8 600 66.35
722 tf_efficientnet_b7_ap 30.18 261.545 8 600 66.35
723 tf_efficientnet_b7_ns 30.17 261.527 8 600 66.35
724 vit_large_patch16_384 29.1 410.723 12 384 304.72
725 xcit_small_24_p8_384_dist 28.47 558.499 16 384 47.63
726 swin_v2_cr_large_384 28.33 421.122 12 384 196.68
727 ig_resnext101_32x48d 27.82 573.581 16 224 828.41
728 resnetrs420 25.59 615.408 16 416 191.89
729 beit_large_patch16_384 24.96 478.806 12 384 305.0
730 volo_d3_448 23.79 333.801 8 448 86.63
731 vit_giant_patch14_224 22.41 354.342 8 224 1012.61
732 resnetv2_152x2_bitm 21.79 364.675 8 448 236.34
733 xcit_medium_24_p8_384_dist 19.42 408.574 8 384 84.32
734 nfnet_f4 18.89 630.122 12 512 316.07
735 resnetv2_101x3_bitm 17.61 452.554 8 448 387.93
736 dm_nfnet_f4 17.17 693.324 12 512 316.07
737 volo_d4_448 16.84 353.766 6 448 193.41
738 efficientnet_b8 14.4 412.697 6 672 87.41
739 tf_efficientnet_b8_ap 14.32 415.19 6 672 87.41
740 tf_efficientnet_b8 14.24 417.31 6 672 87.41
741 nfnet_f5 12.31 643.8 8 544 377.21
742 cait_m36_384 11.75 507.058 6 384 271.22
743 xcit_large_24_p8_384_dist 11.36 524.55 6 384 188.93
744 dm_nfnet_f5 11.21 706.654 8 544 377.21
745 volo_d5_448 11.01 359.686 4 448 295.91
746 swin_v2_cr_huge_384 10.89 364.734 4 384 657.94
747 tf_efficientnet_l2_ns_475 10.43 377.703 4 475 480.31
748 nfnet_f6 10.18 778.679 8 576 438.36
749 beit_large_patch16_512 9.37 425.057 4 512 305.67
750 dm_nfnet_f6 8.56 692.978 6 576 438.36
751 volo_d5_512 7.76 383.588 3 512 296.09
752 nfnet_f7 7.54 787.101 6 608 499.5
753 cait_m48_448 4.71 419.695 2 448 356.46
754 resnetv2_152x4_bitm 4.53 438.64 2 480 936.53
755 tf_efficientnet_l2_ns 2.96 331.907 1 800 480.31
756 efficientnet_l2 2.92 336.419 1 800 480.31

@ -0,0 +1,752 @@
model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
tinynet_e,10725.36,46.047,512,106,2.04
mobilenetv3_small_050,9864.52,50.786,512,224,1.59
lcnet_035,9593.72,52.888,512,224,1.64
lcnet_050,8283.82,61.296,512,224,1.88
tf_mobilenetv3_small_minimal_100,8178.73,62.055,512,224,2.04
tinynet_d,7987.22,63.336,512,152,2.34
mobilenetv3_small_075,7734.29,65.482,512,224,2.04
mobilenetv3_small_100,7481.49,67.702,512,224,2.54
tf_mobilenetv3_small_075,7093.89,71.455,512,224,2.04
tf_mobilenetv3_small_100,6879.11,73.705,512,224,2.54
levit_128s,6303.14,80.293,512,224,7.78
lcnet_075,5742.95,88.676,512,224,2.36
lcnet_100,5331.75,95.531,512,224,2.95
mixer_s32_224,4714.36,108.029,512,224,19.1
mnasnet_small,4652.19,109.156,512,224,2.03
mnasnet_050,4534.41,112.14,512,224,2.22
levit_128,4434.56,114.332,512,224,9.21
vit_small_patch32_224,4334.06,117.284,512,224,22.88
mobilenetv2_035,4197.24,121.203,512,224,1.68
tinynet_c,4165.97,121.921,512,184,2.46
gernet_s,4117.74,123.649,512,224,8.17
semnasnet_050,4027.14,126.223,512,224,2.08
vit_tiny_r_s16_p8_224,3857.49,131.88,512,224,6.34
levit_192,3823.94,132.765,512,224,10.95
lcnet_150,3663.02,139.3,512,224,4.5
resnet18,3584.19,142.504,512,224,11.69
gluon_resnet18_v1b,3584.07,142.508,512,224,11.69
swsl_resnet18,3583.72,142.531,512,224,11.69
ssl_resnet18,3558.1,143.543,512,224,11.69
mobilenetv2_050,3541.93,143.76,512,224,1.97
mobilenetv3_large_075,3343.71,152.255,512,224,3.99
ese_vovnet19b_slim_dw,3243.14,157.395,512,224,1.9
tf_mobilenetv3_large_minimal_100,3227.09,157.922,512,224,3.92
seresnet18,3222.19,158.398,512,224,11.78
legacy_seresnet18,3130.77,163.021,512,224,11.78
tf_mobilenetv3_large_075,3109.15,163.824,512,224,3.99
mnasnet_075,3102.76,164.235,512,224,3.17
ghostnet_050,3069.54,165.437,512,224,2.59
mobilenetv3_rw,3020.36,168.644,512,224,5.48
mobilenetv3_large_100,2997.0,169.969,512,224,5.48
mobilenetv3_large_100_miil,2996.51,169.991,512,224,5.48
levit_256,2923.52,174.041,512,224,18.89
hardcorenas_a,2875.54,177.351,512,224,5.26
resnet18d,2830.02,180.547,512,224,11.71
mnasnet_b1,2826.42,180.324,512,224,4.38
mnasnet_100,2810.01,181.39,512,224,4.38
tf_mobilenetv3_large_100,2800.51,181.961,512,224,5.48
tinynet_b,2773.33,183.58,512,188,3.73
hardcorenas_b,2665.39,191.158,512,224,5.18
semnasnet_075,2649.51,192.342,512,224,2.91
hardcorenas_c,2643.17,192.764,512,224,5.52
ese_vovnet19b_slim,2613.26,195.551,512,224,3.17
mobilenetv2_075,2538.45,200.896,512,224,2.64
tf_efficientnetv2_b0,2507.59,202.986,512,224,7.14
spnasnet_100,2504.82,203.411,512,224,4.42
levit_256d,2485.6,204.456,512,224,26.21
hardcorenas_d,2483.8,204.983,512,224,7.5
semnasnet_100,2411.15,211.44,512,224,3.89
mnasnet_a1,2396.96,212.676,512,224,3.89
mobilenetv2_100,2381.65,214.209,512,224,3.5
regnetx_002,2371.97,215.169,512,224,2.68
tinynet_a,2274.6,223.875,512,192,6.19
regnety_002,2255.16,226.095,512,224,3.16
ghostnet_100,2251.56,226.062,512,224,5.18
fbnetc_100,2248.09,226.804,512,224,5.57
deit_tiny_patch16_224,2233.8,228.385,512,224,5.72
vit_tiny_patch16_224,2229.44,228.819,512,224,5.72
efficientnet_lite0,2209.28,231.003,512,224,4.65
hardcorenas_f,2207.45,230.839,512,224,8.2
deit_tiny_distilled_patch16_224,2193.62,232.567,512,224,5.91
hardcorenas_e,2183.35,233.392,512,224,8.07
xcit_nano_12_p16_224_dist,2148.4,236.588,512,224,3.05
xcit_nano_12_p16_224,2147.35,236.626,512,224,3.05
tv_resnet34,2081.13,245.45,512,224,21.8
resnet34,2080.93,245.474,512,224,21.8
gluon_resnet34_v1b,2070.75,246.674,512,224,21.8
pit_ti_distilled_224,2069.0,246.563,512,224,5.1
pit_ti_224,2067.14,246.798,512,224,4.85
tf_efficientnet_lite0,2051.57,248.83,512,224,4.65
skresnet18,2011.18,253.956,512,224,11.96
resnet26,1965.66,259.994,512,224,16.0
resnetblur18,1945.89,262.773,512,224,11.69
gernet_m,1920.15,265.947,512,224,21.14
ese_vovnet19b_dw,1905.39,268.216,512,224,6.54
nf_resnet26,1877.61,272.201,512,224,16.0
hrnet_w18_small,1858.6,274.127,512,224,13.19
seresnet34,1854.8,275.134,512,224,21.96
mnasnet_140,1835.61,278.136,512,224,7.12
legacy_seresnet34,1814.57,281.284,512,224,21.96
efficientnet_b0,1800.57,212.181,384,224,5.29
levit_384,1799.63,283.374,512,224,39.13
resnet34d,1799.03,284.0,512,224,21.82
mobilenetv2_110d,1768.64,216.1,384,224,4.52
rexnetr_100,1759.23,217.141,384,224,4.88
selecsls42,1754.3,291.22,512,224,30.35
selecsls42b,1748.59,292.176,512,224,32.46
mixer_b32_224,1728.02,295.478,512,224,60.29
tf_efficientnet_b0_ns,1702.0,224.532,384,224,5.29
tf_efficientnet_b0_ap,1700.69,224.751,384,224,5.29
tf_efficientnet_b0,1700.24,224.78,384,224,5.29
mixer_s16_224,1649.18,309.899,512,224,18.53
semnasnet_140,1640.99,311.119,512,224,6.11
tf_efficientnet_es,1622.88,314.744,512,224,5.44
efficientnet_es,1618.83,315.528,512,224,5.44
efficientnet_es_pruned,1616.07,316.054,512,224,5.44
vit_base_patch32_224_sam,1613.76,316.429,512,224,88.22
vit_base_patch32_224,1612.96,316.587,512,224,88.22
resnet26d,1609.37,317.63,512,224,16.01
tf_efficientnetv2_b1,1607.05,237.525,384,240,8.14
ghostnet_130,1600.19,318.63,512,224,7.36
pit_xs_distilled_224,1591.2,320.859,512,224,11.0
pit_xs_224,1589.39,321.258,512,224,10.62
repvgg_b0,1586.15,321.714,512,224,15.82
resmlp_12_224,1552.02,329.099,512,224,15.35
resmlp_12_distilled_224,1551.98,329.119,512,224,15.35
gmixer_12_224,1551.47,329.195,512,224,12.7
mobilenetv2_140,1539.46,248.646,384,224,6.11
mobilevit_xxs,1515.36,252.293,384,256,1.27
selecsls60,1486.56,343.544,512,224,30.67
selecsls60b,1480.82,344.867,512,224,32.77
nf_seresnet26,1471.47,347.302,512,224,17.4
xcit_tiny_12_p16_224,1422.37,358.218,512,224,6.72
xcit_tiny_12_p16_224_dist,1420.76,358.558,512,224,6.72
efficientnet_lite1,1418.67,179.483,256,240,5.42
vit_small_patch32_384,1414.68,361.045,512,384,22.92
efficientnet_b1_pruned,1384.32,368.407,512,240,6.33
gmlp_ti16_224,1378.39,276.995,384,224,5.87
dla46_c,1367.99,373.533,512,224,1.3
nf_ecaresnet26,1361.11,375.605,512,224,16.0
poolformer_s12,1359.83,375.831,512,224,11.92
rexnetr_130,1350.37,188.438,256,224,7.61
tf_efficientnet_lite1,1343.78,189.557,256,240,5.42
crossvit_tiny_240,1320.33,386.159,512,240,7.01
mobilenetv2_120d,1309.71,194.276,256,224,5.83
resnetv2_50,1296.0,394.281,512,224,25.55
gernet_l,1283.32,398.106,512,256,31.08
rexnet_100,1277.92,299.324,384,224,4.8
crossvit_9_240,1236.5,309.16,384,240,8.55
resnet26t,1227.85,416.475,512,256,16.01
ssl_resnet50,1223.5,417.643,512,224,25.56
resnet50,1222.61,417.956,512,224,25.56
tv_resnet50,1222.03,418.147,512,224,25.56
swsl_resnet50,1222.0,418.189,512,224,25.56
gluon_resnet50_v1b,1221.97,418.181,512,224,25.56
crossvit_9_dagger_240,1195.59,319.731,384,240,8.78
vit_tiny_r_s16_p8_384,1193.45,320.912,384,384,6.36
rexnetr_150,1185.63,214.799,256,224,9.78
fbnetv3_b,1184.86,322.487,384,256,8.6
botnet26t_256,1168.73,327.971,384,256,12.49
tf_efficientnetv2_b2,1157.41,219.649,256,260,10.1
regnetx_004,1150.82,443.834,512,224,5.16
repvgg_a2,1142.14,447.42,512,224,28.21
skresnet34,1140.48,447.803,512,224,22.28
resnetv2_50t,1134.35,450.541,512,224,25.57
fbnetv3_d,1133.65,223.966,256,256,10.31
resnetv2_50d,1131.93,451.499,512,224,25.57
gluon_resnet50_v1c,1131.41,338.54,384,224,25.58
halonet26t,1122.34,341.57,384,256,12.48
convit_tiny,1108.09,461.02,512,224,5.71
efficientnet_lite2,1096.26,232.544,256,260,6.09
dla34,1094.33,467.287,512,224,15.74
convnext_nano_hnf,1075.54,356.227,384,224,15.59
resnet50d,1070.21,357.929,384,224,25.58
gluon_resnet50_v1d,1070.13,357.997,384,224,25.58
resnet50t,1068.62,358.508,384,224,25.57
mixnet_s,1051.2,485.837,512,224,4.13
legacy_seresnext26_32x4d,1051.18,486.414,512,224,16.79
tf_efficientnet_lite2,1045.58,243.879,256,260,6.09
vit_small_resnet26d_224,1042.37,367.395,384,224,63.61
deit_small_patch16_224,1032.62,371.017,384,224,22.05
vit_small_patch16_224,1027.63,372.823,384,224,22.05
regnety_004,1027.25,497.255,512,224,4.34
tf_efficientnet_b1_ns,1026.16,247.955,256,240,7.79
tf_efficientnet_b1_ap,1026.11,248.006,256,240,7.79
tf_efficientnet_b1,1025.11,248.193,256,240,7.79
resnet32ts,1021.77,249.96,256,256,17.96
deit_small_distilled_patch16_224,1010.79,379.058,384,224,22.44
resnet33ts,1009.39,252.998,256,256,19.68
res2net50_48w_2s,1006.25,380.82,384,224,25.29
vovnet39a,1004.46,509.092,512,224,22.6
seresnext26d_32x4d,1002.27,382.471,384,224,16.81
seresnext26t_32x4d,1001.74,382.665,384,224,16.81
seresnext26tn_32x4d,1001.47,382.779,384,224,16.81
legacy_seresnet50,993.86,385.256,384,224,28.09
tf_efficientnet_em,979.63,260.356,256,240,6.9
efficientnet_em,978.46,260.687,256,240,6.9
dla46x_c,973.77,525.047,512,224,1.07
eca_resnet33ts,964.39,264.788,256,256,19.68
pit_s_224,961.0,265.507,256,224,23.46
pit_s_distilled_224,960.14,265.718,256,224,24.04
tf_mixnet_s,958.59,532.877,512,224,4.13
seresnet50,956.87,400.165,384,224,28.09
efficientnet_b1,954.91,266.596,256,256,7.79
seresnet33ts,954.85,267.313,256,256,19.78
ecaresnetlight,952.86,536.422,512,224,30.16
vit_base2_patch32_256,950.48,537.853,512,256,119.46
ese_vovnet39b,947.73,539.578,512,224,24.57
ecaresnext50t_32x4d,947.69,404.65,384,224,15.41
ecaresnext26t_32x4d,947.22,404.844,384,224,15.41
dla60,945.45,405.196,384,224,22.04
gluon_resnet50_v1s,943.31,406.227,384,224,25.68
resnetaa50d,941.94,406.82,384,224,25.58
eca_vovnet39b,939.18,544.514,512,224,22.6
vgg11,930.6,550.023,512,224,132.86
gcresnet33ts,927.58,274.995,256,256,19.88
lambda_resnet26rpt_256,921.55,207.755,192,256,10.99
dla60x_c,921.01,554.951,512,224,1.32
ecaresnet50d_pruned,911.85,560.565,512,224,19.94
resnetblur50,909.58,421.362,384,224,25.56
mobilevit_xs,909.51,210.0,192,256,2.32
cspresnet50,906.79,422.612,384,256,21.62
rexnetr_200,896.75,212.966,192,224,16.52
coat_lite_tiny,890.79,430.193,384,224,5.72
nf_seresnet50,886.81,431.807,384,224,28.09
dpn68b,878.29,436.039,384,224,12.61
selecsls84,872.56,585.545,512,224,50.95
twins_svt_small,868.85,440.366,384,224,24.06
hrnet_w18_small_v2,867.42,587.948,512,224,15.6
seresnet50t,865.51,442.504,384,224,28.1
cspresnext50,862.61,444.309,384,224,20.57
resnetrs50,861.96,444.354,384,224,35.69
cspresnet50w,860.12,445.567,384,256,28.12
cspresnet50d,849.09,451.363,384,256,21.64
densenet121,845.28,301.077,256,224,7.98
tv_densenet121,845.28,301.063,256,224,7.98
rexnet_150,842.23,302.82,256,224,9.73
tv_resnext50_32x4d,836.18,458.41,384,224,25.03
swsl_resnext50_32x4d,836.09,458.464,384,224,25.03
res2net50_26w_4s,835.77,458.208,384,224,25.7
coat_lite_mini,833.77,459.672,384,224,11.01
vit_base_resnet26d_224,833.37,459.491,384,224,101.4
resnext50_32x4d,832.87,460.244,384,224,25.03
ssl_resnext50_32x4d,832.34,460.521,384,224,25.03
dpn68,831.95,460.44,384,224,12.61
gluon_resnext50_32x4d,831.77,460.799,384,224,25.03
vovnet57a,828.64,616.994,512,224,36.64
efficientnet_b2_pruned,825.77,308.457,256,260,8.31
resnetblur50d,818.48,311.928,256,224,25.58
skresnet50,810.12,472.628,384,224,25.8
tf_efficientnet_b2_ap,809.72,235.646,192,260,9.11
tf_efficientnet_b2_ns,809.32,235.717,192,260,9.11
tf_efficientnet_b2,809.06,235.843,192,260,9.11
vgg11_bn,805.38,476.555,384,224,132.87
densenet121d,805.31,316.045,256,224,8.0
nf_ecaresnet50,804.89,476.102,384,224,25.56
rexnet_130,801.42,318.304,256,224,7.56
ecaresnet50d,793.07,483.245,384,224,25.58
ese_vovnet57b,790.94,484.567,384,224,38.61
regnetx_006,790.56,646.782,512,224,6.2
gcresnet50t,788.09,323.372,256,256,25.9
regnety_006,787.76,648.873,512,224,6.06
convnext_tiny,781.17,326.737,256,224,28.59
tf_inception_v3,774.78,494.217,384,299,23.83
gluon_inception_v3,774.48,494.404,384,299,23.83
seresnetaa50d,773.82,329.682,256,224,28.11
inception_v3,772.99,495.38,384,299,23.83
adv_inception_v3,769.85,497.351,384,299,23.83
resmlp_24_distilled_224,767.92,331.893,256,224,30.02
resnext50d_32x4d,765.61,333.516,256,224,25.05
resmlp_24_224,762.25,334.383,256,224,30.02
gmixer_24_224,759.72,335.461,256,224,24.72
resnetv2_101,757.49,336.449,256,224,44.54
res2net50_14w_8s,756.34,336.303,256,224,25.06
xcit_nano_12_p16_384_dist,754.95,337.338,256,384,3.05
sehalonet33ts,749.52,340.746,256,256,13.69
densenetblur121d,739.98,344.167,256,224,8.0
dla60_res2net,736.45,346.205,256,224,20.85
skresnet50d,736.23,346.324,256,224,25.82
mobilevit_s,734.66,260.236,192,256,5.58
gluon_resnet101_v1b,731.02,348.601,256,224,44.55
tv_resnet101,727.65,350.31,256,224,44.55
resnet101,727.5,350.369,256,224,44.55
xcit_tiny_24_p16_224,726.25,349.143,256,224,12.12
xcit_tiny_24_p16_224_dist,725.28,349.489,256,224,12.12
efficientnet_b2,724.21,263.654,192,288,9.11
twins_pcpvt_small,724.17,351.883,256,224,24.11
efficientnet_b2a,723.56,263.856,192,288,9.11
ecaresnet101d_pruned,714.19,715.116,512,224,24.88
nf_resnet50,710.87,539.322,384,288,25.56
nf_resnet101,707.69,540.968,384,224,44.55
seresnext50_32x4d,706.91,361.01,256,224,27.56
gluon_seresnext50_32x4d,706.58,361.114,256,224,27.56
efficientnet_b0_gn,705.84,361.599,256,224,5.29
legacy_seresnext50_32x4d,704.96,362.028,256,224,27.56
nf_regnet_b0,703.19,726.933,512,256,8.76
darknet53,701.97,363.892,256,256,41.61
resnetv2_101d,699.92,364.177,256,224,44.56
densenet169,698.35,364.121,256,224,14.15
gluon_resnet101_v1c,697.85,365.313,256,224,44.57
dla60x,694.54,367.645,256,224,17.35
poolformer_s24,690.11,369.675,256,224,21.39
semobilevit_s,684.71,279.143,192,256,5.74
efficientnetv2_rw_t,684.48,278.424,192,288,13.65
vit_small_r26_s32_224,682.34,373.878,256,224,36.43
convnext_tiny_hnf,681.83,374.501,256,224,28.59
gluon_resnet101_v1d,674.08,378.237,256,224,44.57
tf_efficientnetv2_b3,670.7,284.467,192,300,14.36
xcit_small_12_p16_224,670.22,380.208,256,224,26.25
xcit_small_12_p16_224_dist,669.97,380.26,256,224,26.25
sebotnet33ts_256,666.38,191.3,128,256,13.7
rexnet_200,665.99,287.162,192,224,16.37
vgg13,663.21,578.818,384,224,133.05
regnety_008,661.82,772.637,512,224,6.26
wide_resnet50_2,661.04,580.088,384,224,68.88
dla102,650.38,392.047,256,224,33.27
gmlp_s16_224,648.9,294.316,192,224,19.42
vit_base_resnet50d_224,646.39,394.444,256,224,110.97
swin_tiny_patch4_window7_224,639.35,399.428,256,224,28.29
ecaresnet26t,628.75,406.586,256,320,16.01
repvgg_b1,627.31,815.089,512,224,57.42
gluon_resnet101_v1s,624.3,408.497,256,224,44.67
crossvit_small_240,624.04,408.587,256,240,26.86
resnetaa101d,621.23,410.532,256,224,44.57
eca_botnext26ts_256,618.03,413.613,256,256,10.59
resnext26ts,615.62,623.252,384,256,10.3
gc_efficientnetv2_rw_t,605.04,314.593,192,288,13.68
eca_halonext26ts,604.41,422.932,256,256,10.76
seresnext26ts,598.53,427.051,256,256,10.39
eca_resnext26ts,598.25,427.346,256,256,10.3
convnext_tiny_hnfd,592.58,430.992,256,224,28.63
regnetx_008,591.8,864.35,512,224,7.26
resnetv2_50x1_bit_distilled,589.64,324.794,192,224,25.55
legacy_seresnet101,588.41,432.899,256,224,49.33
gcresnext26ts,585.17,436.656,256,256,10.48
halonet50ts,584.39,327.573,192,256,22.73
xcit_nano_12_p8_224,583.42,437.05,256,224,3.05
cait_xxs24_224,582.93,436.673,256,224,11.96
xcit_nano_12_p8_224_dist,581.01,438.848,256,224,3.05
mixer_b16_224,580.44,440.268,256,224,59.88
mixer_b16_224_miil,579.94,440.653,256,224,59.88
swin_s3_tiny_224,578.76,441.339,256,224,28.33
seresnet101,574.05,443.691,256,224,49.33
mixnet_m,573.23,891.634,512,224,5.01
res2net50_26w_6s,569.28,447.908,256,224,37.05
vgg13_bn,568.79,449.813,256,224,133.05
crossvit_15_240,568.46,335.957,192,240,27.53
resnetblur101d,567.71,449.352,256,224,44.57
cspdarknet53,565.64,451.547,256,256,27.64
efficientnet_lite3,563.01,226.244,128,300,8.2
tf_efficientnet_lite3,561.05,227.067,128,300,8.2
crossvit_15_dagger_240,549.96,347.22,192,240,28.21
resnext101_32x4d,548.6,465.031,256,224,44.18
tf_mixnet_m,547.03,700.438,384,224,5.01
swsl_resnext101_32x4d,546.13,467.192,256,224,44.18
gluon_resnext101_32x4d,545.31,467.899,256,224,44.18
ssl_resnext101_32x4d,545.31,467.944,256,224,44.18
densenet201,539.32,353.029,192,224,20.01
vgg16,536.49,715.548,384,224,138.36
bat_resnext26ts,533.44,478.688,256,256,10.73
nf_seresnet101,532.2,478.733,256,224,49.33
vit_base_r26_s32_224,528.57,361.981,192,224,101.38
resnetv2_152,524.49,485.916,256,224,60.19
botnet50ts_256,524.41,243.109,128,256,22.74
res2net101_26w_4s,523.46,486.536,256,224,45.21
efficientnet_b3_pruned,519.43,491.117,256,300,9.86
vit_base_patch32_384,517.32,494.013,256,384,88.3
vit_large_patch32_224,511.41,498.976,256,224,306.54
halo2botnet50ts_256,510.64,375.017,192,256,22.64
mixer_l32_224,510.1,374.908,192,224,206.94
swin_v2_cr_tiny_224,506.89,377.55,192,224,28.33
resmlp_36_distilled_224,505.72,377.435,192,224,44.69
resmlp_36_224,505.39,377.735,192,224,44.69
vit_tiny_patch16_384,503.94,253.174,128,384,5.79
res2next50,502.84,507.818,256,224,24.67
dla102x,501.98,380.938,192,224,26.31
swin_v2_cr_tiny_ns_224,501.36,381.688,192,224,28.33
resnet152,499.83,381.783,192,224,60.19
gluon_resnet152_v1b,499.79,381.933,192,224,60.19
tv_resnet152,496.47,384.401,192,224,60.19
xception,494.06,258.29,128,299,22.86
visformer_tiny,491.83,1040.332,512,224,10.32
mixnet_l,488.23,784.993,384,224,7.33
gluon_resnet152_v1c,485.58,393.139,192,224,60.21
resnet50_gn,484.73,395.256,192,224,25.56
resnetv2_152d,484.59,393.938,192,224,60.2
twins_pcpvt_base,480.18,397.102,192,224,43.83
nest_tiny,477.31,267.267,128,224,17.06
res2net50_26w_8s,476.93,534.581,256,224,48.4
ecaresnet101d,475.58,536.508,256,224,44.57
convnext_small,473.89,403.445,192,224,50.22
gluon_resnet152_v1d,473.52,403.216,192,224,60.21
tf_mixnet_l,470.86,542.123,256,224,7.33
jx_nest_tiny,470.71,271.015,128,224,17.06
vgg16_bn,469.97,544.386,256,224,138.37
nf_ecaresnet101,465.87,547.628,256,224,44.55
coat_lite_small,463.34,412.922,192,224,19.84
poolformer_s36,458.24,417.134,192,224,30.86
efficientnet_el,455.42,279.993,128,300,10.59
efficientnet_el_pruned,454.32,280.643,128,300,10.59
vgg19,451.86,849.574,384,224,143.67
convit_small,450.19,425.458,192,224,27.78
fbnetv3_g,449.02,283.045,128,288,16.62
ese_vovnet99b,448.97,568.658,256,224,63.2
seresnext101_32x4d,448.16,426.163,192,224,48.96
gluon_seresnext101_32x4d,447.49,426.94,192,224,48.96
gluon_resnet152_v1s,446.73,427.49,192,224,60.32
legacy_seresnext101_32x4d,446.01,428.263,192,224,48.96
nf_regnet_b3,442.03,577.378,256,320,18.59
tf_efficientnet_el,441.61,288.785,128,300,10.59
ese_vovnet39b_evos,439.23,290.493,128,224,24.58
dla60_res2next,437.89,583.208,256,224,17.03
volo_d1_224,437.25,437.756,192,224,26.63
dla169,436.98,436.866,192,224,53.39
skresnext50_32x4d,435.09,586.972,256,224,27.48
hrnet_w32,433.46,438.263,192,224,41.23
vit_small_resnet50d_s16_224,432.94,442.239,192,224,57.53
twins_svt_base,429.83,444.617,192,224,56.07
hrnet_w18,419.32,605.846,256,224,21.3
crossvit_18_240,400.15,317.858,128,240,43.27
vgg19_bn,399.74,640.035,256,224,143.68
ecaresnet50t,399.44,319.549,128,320,25.57
inception_v4,397.78,480.469,192,299,42.68
tf_efficientnet_b3,393.44,323.695,128,300,12.23
swin_small_patch4_window7_224,393.38,486.272,192,224,49.61
legacy_seresnet152,392.87,485.406,192,224,66.82
tf_efficientnet_b3_ap,392.08,324.783,128,300,12.23
vit_base_patch16_224_miil,391.87,489.169,192,224,86.54
tf_efficientnet_b3_ns,391.61,325.176,128,300,12.23
crossvit_18_dagger_240,387.95,327.891,128,240,44.27
vit_base_patch16_224,385.23,497.575,192,224,86.57
vit_base_patch16_224_sam,384.98,497.891,192,224,86.57
deit_base_patch16_224,384.15,498.956,192,224,86.57
cait_xxs36_224,380.29,501.012,192,224,17.3
repvgg_b2,380.03,1346.183,512,224,89.02
regnetx_016,379.21,1349.264,512,224,9.19
deit_base_distilled_patch16_224,378.28,506.739,192,224,87.34
densenet161,376.13,337.907,128,224,28.68
haloregnetz_b,375.52,680.247,256,224,11.68
xcit_tiny_12_p8_224,374.86,339.659,128,224,6.71
xcit_tiny_12_p8_224_dist,374.8,339.672,128,224,6.71
seresnet152,372.93,339.954,128,224,66.82
dla102x2,362.92,351.15,128,224,41.28
wide_resnet101_2,360.46,531.121,192,224,126.89
gluon_resnext101_64x4d,357.83,356.147,128,224,83.46
efficientnet_b3a,354.6,359.335,128,320,12.23
resnet200,354.57,357.998,128,224,64.67
xception41p,353.88,360.846,128,299,26.91
regnety_016,353.36,1447.082,512,224,11.2
efficientnet_b3,353.18,360.796,128,320,12.23
beit_base_patch16_224,352.29,543.93,192,224,86.53
resnest14d,349.84,1463.045,512,224,10.61
hrnet_w30,346.82,733.381,256,224,37.71
ens_adv_inception_resnet_v2,341.5,558.819,192,299,55.84
inception_resnet_v2,341.03,559.722,192,299,55.84
xcit_small_24_p16_224_dist,341.01,371.894,128,224,47.67
tnt_s_patch16_224,340.3,562.32,192,224,23.76
xcit_small_24_p16_224,339.02,373.952,128,224,47.67
efficientnet_lite4,334.87,189.779,64,380,13.01
dpn92,332.25,769.002,256,224,37.67
nf_regnet_b1,330.04,1549.911,512,288,10.22
twins_pcpvt_large,327.73,386.698,128,224,60.99
resnet101d,327.41,389.353,128,320,44.57
convnext_small_in22ft1k,327.31,389.301,128,224,88.59
convnext_base,327.3,389.374,128,224,88.59
convnext_base_in22ft1k,326.61,390.177,128,224,88.59
convnext_tiny_in22ft1k,324.94,392.181,128,224,88.59
tf_efficientnet_lite4,322.62,197.041,64,380,13.01
resnetrs101,321.74,395.61,128,288,63.62
pit_b_224,318.92,400.391,128,224,73.76
pit_b_distilled_224,318.09,401.455,128,224,74.79
gcresnext50ts,316.73,604.706,192,256,15.67
repvgg_b3,315.56,1215.795,384,224,123.09
gluon_seresnext101_64x4d,313.23,406.424,128,224,88.23
regnetz_d8,311.3,204.013,64,320,23.37
poolformer_m36,307.82,413.95,128,224,56.17
xception41,305.16,418.228,128,299,26.97
resnetv2_50d_gn,304.62,419.347,128,288,25.57
coat_tiny,304.05,418.955,128,224,5.5
vit_small_patch16_36x1_224,302.22,420.928,128,224,64.67
swin_v2_cr_small_224,302.05,421.43,128,224,49.7
cait_s24_224,301.09,422.497,128,224,46.92
mixnet_xl,300.81,849.169,256,224,11.9
vit_small_patch16_18x2_224,299.9,424.102,128,224,64.67
resnetv2_50d_frn,299.64,426.047,128,224,25.59
efficientnetv2_s,299.05,318.819,96,384,21.46
twins_svt_large,298.59,426.599,128,224,99.27
tf_efficientnetv2_s,297.45,320.544,96,384,21.46
tf_efficientnetv2_s_in21ft1k,295.84,322.238,96,384,21.46
efficientnetv2_rw_s,295.58,214.343,64,384,23.94
nest_small,295.19,323.571,96,224,38.35
jx_nest_small,293.04,325.974,96,224,38.35
hrnet_w40,291.68,653.529,192,224,57.56
regnetz_005,286.8,1783.819,512,224,7.12
nf_regnet_b2,284.19,1799.964,512,272,14.31
dpn98,283.21,450.397,128,224,61.57
gluon_xception65,280.82,339.911,96,299,39.92
xception65,279.18,341.922,96,299,39.92
resnet51q,277.93,689.969,192,288,35.7
nf_regnet_b4,277.28,459.47,128,384,30.21
swin_s3_small_224,277.05,344.678,96,224,49.74
swin_base_patch4_window7_224,275.83,462.244,128,224,87.77
xception65p,274.95,464.241,128,299,39.82
gmlp_b16_224,270.89,352.851,96,224,73.08
hrnet_w48,266.5,475.648,128,224,77.47
resnest26d,258.35,1485.604,384,224,17.07
resnest50d_1s4x24d,258.11,990.508,256,224,25.68
xcit_tiny_24_p16_384_dist,251.56,378.207,96,384,12.12
regnetz_c16,250.16,510.248,128,320,13.46
crossvit_base_240,249.99,382.366,96,240,105.03
coat_mini,247.34,515.482,128,224,10.34
xcit_medium_24_p16_224,244.65,519.851,128,224,84.4
xcit_medium_24_p16_224_dist,244.08,521.069,128,224,84.4
hrnet_w44,241.77,789.352,192,224,67.06
efficientnet_b4,241.47,262.953,64,384,19.34
volo_d2_224,238.72,400.292,96,224,58.68
tf_efficientnet_b4,236.52,268.528,64,380,19.34
tf_efficientnet_b4_ap,236.39,268.69,64,380,19.34
tf_efficientnet_b4_ns,236.1,269.028,64,380,19.34
vit_small_patch16_384,235.52,270.897,64,384,22.2
resnetv2_50d_evob,235.19,406.951,96,224,25.59
tresnet_m,234.84,2177.505,512,224,31.39
nfnet_l0,233.22,1096.449,256,288,35.07
visformer_small,232.72,1649.37,384,224,40.22
xcit_small_12_p16_384_dist,230.87,414.048,96,384,26.25
vit_large_r50_s32_224,228.88,417.083,96,224,328.99
convit_base,228.65,558.76,128,224,86.54
eca_nfnet_l0,226.92,1127.142,256,288,24.14
resnetv2_50d_evos,223.6,285.051,64,288,25.59
tnt_b_patch16_224,222.54,573.324,128,224,65.41
vit_small_r26_s32_384,221.41,287.746,64,384,36.47
densenet264,220.0,432.388,96,224,72.69
swin_s3_base_224,219.07,435.557,96,224,71.13
hrnet_w64,218.91,579.973,128,224,128.06
resnext101_64x4d,217.22,440.378,96,288,83.46
resnet152d,216.09,441.927,96,320,60.21
xception71,215.62,294.681,64,299,42.34
swin_v2_cr_base_224,215.23,443.662,96,224,87.88
dpn131,211.54,603.038,128,224,79.25
nest_base,210.35,302.564,64,224,67.72
vit_base_r50_s16_224,208.87,457.959,96,224,98.66
jx_nest_base,208.37,305.48,64,224,67.72
resnet61q,207.91,614.63,128,288,36.85
mixnet_xxl,202.79,629.315,128,224,23.96
xcit_nano_12_p8_384_dist,196.18,324.445,64,384,3.05
poolformer_m48,193.91,492.638,96,224,73.47
xcit_tiny_24_p8_224,190.8,499.85,96,224,12.11
xcit_tiny_24_p8_224_dist,190.62,500.3,96,224,12.11
seresnet200d,190.31,500.165,96,256,71.86
ecaresnet200d,182.23,523.49,96,256,64.69
regnetz_b16,181.6,1055.83,192,288,9.72
convnext_large_in22ft1k,180.86,529.028,96,224,197.77
convnext_large,180.64,529.707,96,224,197.77
convmixer_768_32,179.25,534.249,96,224,21.11
repvgg_b1g4,178.41,2868.637,512,224,39.97
regnety_032,178.01,1436.656,256,288,19.44
regnetx_032,177.68,2160.015,384,224,15.3
resnest50d,177.64,1439.786,256,224,27.48
gluon_senet154,177.29,538.24,96,224,115.09
senet154,176.81,539.67,96,224,115.09
halonet_h1,175.85,362.526,64,256,8.1
legacy_senet154,175.45,543.752,96,224,115.09
xcit_small_12_p8_224,174.99,363.954,64,224,26.21
xcit_small_12_p8_224_dist,174.85,364.256,64,224,26.21
seresnet152d,173.74,364.967,64,320,66.84
dpn107,173.23,552.482,96,224,86.92
mixer_l16_224,172.58,554.751,96,224,208.2
resnetrs152,171.14,370.433,64,320,86.62
resnest50d_4s2x40d,167.22,1529.64,256,224,30.42
resnet200d,166.19,382.131,64,320,64.69
volo_d3_224,162.25,391.709,64,224,86.33
regnetx_040,161.87,2371.182,384,224,22.12
vit_large_patch32_384,161.83,591.666,96,384,306.63
efficientnet_b3_gn,160.22,397.781,64,320,11.73
swin_large_patch4_window7_224,151.35,420.987,64,224,196.53
regnetx_080,150.02,2558.515,384,224,39.57
regnety_040s_gn,149.61,853.983,128,224,20.65
efficientnetv2_m,149.31,318.263,48,416,54.14
ssl_resnext101_32x8d,147.46,866.477,128,224,88.79
resnext101_32x8d,147.32,867.312,128,224,88.79
swsl_resnext101_32x8d,147.16,868.264,128,224,88.79
ig_resnext101_32x8d,146.91,869.691,128,224,88.79
regnetz_e8,146.27,326.163,48,320,57.7
resnetv2_50x1_bitm,140.77,340.162,48,448,25.55
seresnet269d,137.16,460.633,64,256,113.67
xcit_large_24_p16_224,136.77,464.553,64,224,189.1
xcit_large_24_p16_224_dist,136.73,464.738,64,224,189.1
xcit_tiny_12_p8_384_dist,128.06,373.098,48,384,6.71
efficientnetv2_rw_m,126.21,250.013,32,416,53.24
regnetx_064,124.13,2061.422,256,224,26.21
resnetrs200,123.75,383.587,48,320,93.21
dm_nfnet_f0,121.58,2104.417,256,256,71.49
swin_v2_cr_large_224,120.98,394.327,48,224,196.68
regnety_040,120.25,1595.17,192,288,20.65
nfnet_f0,119.63,2138.729,256,256,71.49
regnetv_040,118.92,1074.873,128,288,20.64
ese_vovnet99b_iabn,118.27,3243.951,384,224,63.2
xcit_small_24_p16_384_dist,117.41,405.393,48,384,47.67
regnetz_b16_evos,117.22,544.08,64,288,9.74
crossvit_15_dagger_408,116.43,273.026,32,408,28.5
efficientnet_b0_g8_gn,115.43,2216.717,256,224,6.56
vit_large_patch16_224,115.39,553.095,64,224,304.33
regnetz_c16_evos,115.15,414.978,48,320,13.49
vit_base_patch16_18x2_224,114.12,558.126,64,224,256.73
convnext_xlarge_in22ft1k,114.03,559.475,64,224,350.2
convnext_tiny_384_in22ft1k,112.53,424.859,48,384,88.59
convnext_small_384_in22ft1k,112.49,424.983,48,384,88.59
convnext_base_384_in22ft1k,112.43,425.187,48,384,88.59
swin_v2_cr_tiny_384,111.07,286.85,32,384,28.33
tf_efficientnetv2_m,109.5,289.071,32,480,54.14
tf_efficientnetv2_m_in21ft1k,109.37,289.435,32,480,54.14
beit_large_patch16_224,106.59,598.365,64,224,304.43
volo_d1_384,104.96,303.527,32,384,26.78
tresnet_l,104.79,4882.686,512,224,55.99
repvgg_b2g4,102.33,5002.104,512,224,61.76
eca_nfnet_l1,101.26,1262.246,128,320,41.41
volo_d4_224,101.17,471.916,48,224,192.96
cspdarknet53_iabn,98.65,3890.155,384,256,27.64
cait_xxs24_384,98.52,484.701,48,384,12.03
efficientnet_b5,97.28,326.485,32,456,30.39
tf_efficientnet_b5,95.75,331.792,32,456,30.39
tf_efficientnet_b5_ns,95.73,331.833,32,456,30.39
vit_base_patch16_384,95.69,333.568,32,384,86.86
deit_base_patch16_384,95.67,333.658,32,384,86.86
regnetz_d8_evos,95.66,332.456,32,320,23.46
tf_efficientnet_b5_ap,95.45,332.725,32,456,30.39
regnetz_040,94.56,674.98,64,320,27.12
regnetz_040h,94.14,678.01,64,320,28.94
deit_base_distilled_patch16_384,93.65,340.87,32,384,87.63
tresnet_xl,90.76,4227.401,384,224,78.44
cspresnext50_iabn,89.98,4265.102,384,256,20.57
resnest101e,89.71,1424.366,128,256,48.28
crossvit_18_dagger_408,87.99,361.633,32,408,44.61
xcit_small_24_p8_224,87.73,361.414,32,224,47.63
xcit_small_24_p8_224_dist,87.7,361.441,32,224,47.63
resnetv2_101x1_bitm,86.89,366.637,32,448,44.54
nf_regnet_b5,86.53,736.892,64,456,49.74
resnetv2_152x2_bit_teacher,86.4,368.012,32,224,236.34
repvgg_b3g4,84.75,4530.071,384,224,83.83
vit_large_patch14_224,84.3,567.814,48,224,304.2
beit_base_patch16_384,82.73,385.724,32,384,86.74
seresnext101_32x8d,81.65,781.61,64,288,93.57
xcit_medium_24_p16_384_dist,81.08,391.168,32,384,84.4
ecaresnet269d,77.88,406.425,32,352,102.09
regnetx_120,77.54,3300.773,256,224,46.11
pnasnet5large,76.44,414.721,32,331,86.06
vit_large_r50_s32_384,75.76,419.984,32,384,329.09
regnety_120,75.34,2547.007,192,224,51.82
resnetrs270,75.27,419.128,32,352,129.86
swin_base_patch4_window12_384,73.61,432.836,32,384,87.9
regnety_064,72.69,1759.173,128,288,30.58
regnetz_d32,72.18,885.049,64,320,27.58
regnetv_064,71.81,1780.738,128,288,30.58
resmlp_big_24_224,68.34,466.717,32,224,129.14
resmlp_big_24_224_in22ft1k,68.31,466.955,32,224,129.14
resmlp_big_24_distilled_224,68.26,467.278,32,224,129.14
regnety_320,67.49,1895.092,128,224,145.05
nasnetalarge,66.93,473.19,32,331,88.75
swin_v2_cr_small_384,66.26,359.874,24,384,49.7
cait_xs24_384,65.98,482.447,32,384,26.67
regnety_080,65.45,1954.421,128,288,39.18
regnetx_160,65.01,2952.336,192,224,54.28
xcit_tiny_24_p8_384_dist,64.61,492.002,32,384,12.11
volo_d5_224,64.26,494.733,32,224,295.46
cait_xxs36_384,63.75,498.023,32,384,17.37
vit_base_patch8_224,62.96,380.293,24,224,86.58
xcit_medium_24_p8_224,62.71,506.97,32,224,84.32
xcit_medium_24_p8_224_dist,62.63,507.407,32,224,84.32
efficientnet_b3_g8_gn,62.43,1023.448,64,320,14.25
convnext_large_384_in22ft1k,61.7,516.836,32,384,197.77
convmixer_1024_20_ks9_p14,61.37,4170.722,256,224,24.38
efficientnet_b0_g16_evos,60.46,6350.16,384,224,8.11
tf_efficientnetv2_l_in21ft1k,60.25,261.19,16,480,118.52
xcit_small_12_p8_384_dist,60.04,398.02,24,384,26.21
efficientnetv2_l,59.19,265.957,16,480,118.52
vit_base_resnet50_384,59.0,405.136,24,384,98.95
tf_efficientnetv2_l,58.87,267.382,16,480,118.52
vit_base_r50_s16_384,58.85,406.196,24,384,98.95
volo_d2_384,58.21,273.125,16,384,58.87
tresnet_m_448,53.55,3582.526,192,448,31.39
cait_s24_384,49.8,479.385,24,384,47.06
regnety_160,48.14,1993.0,96,288,83.59
ig_resnext101_32x16d,47.52,2018.737,96,224,194.03
swsl_resnext101_32x16d,47.43,2022.391,96,224,194.03
xcit_large_24_p16_384_dist,47.39,502.961,24,384,189.1
ssl_resnext101_32x16d,47.29,2028.601,96,224,194.03
resnetrs350,47.22,500.442,24,384,163.96
swin_v2_cr_base_384,47.19,336.677,16,384,87.88
swin_v2_cr_huge_224,46.26,343.404,16,224,657.83
regnetx_320,46.16,2771.769,128,224,107.81
eca_nfnet_l2,44.82,1425.204,64,384,56.72
efficientnet_b6,42.73,371.597,16,528,43.04
tf_efficientnet_b6,41.54,382.29,16,528,43.04
tf_efficientnet_b6_ns,41.5,382.621,16,528,43.04
tf_efficientnet_b6_ap,41.36,384.088,16,528,43.04
swin_large_patch4_window12_384,41.02,388.265,16,384,196.74
nfnet_f1,40.44,2371.478,96,320,132.63
vit_huge_patch14_224,39.64,401.543,16,224,632.05
dm_nfnet_f1,38.26,1670.645,64,320,132.63
convnext_xlarge_384_in22ft1k,37.04,430.195,16,384,350.2
efficientnet_b7,36.68,214.625,8,600,66.35
efficientnetv2_xl,36.54,322.755,12,512,208.12
tf_efficientnetv2_xl_in21ft1k,36.36,324.371,12,512,208.12
tf_efficientnet_b7_ap,36.21,217.402,8,600,66.35
tf_efficientnet_b7,36.05,218.422,8,600,66.35
tf_efficientnet_b7_ns,35.41,221.975,8,600,66.35
xcit_large_24_p8_224,34.96,454.269,16,224,188.93
xcit_large_24_p8_224_dist,34.92,454.696,16,224,188.93
resnetrs420,32.2,487.619,16,416,191.89
cait_s36_384,32.09,494.814,16,384,68.37
resnest200e,32.0,1494.763,48,320,70.2
densenet264d_iabn,31.93,4003.992,128,224,72.74
resnetv2_50x3_bitm,31.81,502.194,16,448,217.32
xcit_small_24_p8_384_dist,29.97,396.971,12,384,47.63
resnetv2_152x2_bit_teacher_384,29.92,398.698,12,384,236.34
vit_large_patch16_384,28.85,414.372,12,384,304.72
swin_v2_cr_large_384,28.47,419.18,12,384,196.68
tresnet_l_448,25.64,4988.984,128,448,55.99
beit_large_patch16_384,25.11,475.839,12,384,305.0
volo_d3_448,24.79,320.233,8,448,86.63
eca_nfnet_l3,24.19,1319.468,32,448,72.04
tresnet_xl_448,23.17,4140.191,96,448,78.44
nfnet_f2,22.36,2143.929,48,352,193.78
vit_giant_patch14_224,22.25,356.944,8,224,1012.61
dm_nfnet_f2,22.12,2166.49,48,352,193.78
efficientnet_cc_b0_8e,21.78,44.083,1,224,24.01
resnetv2_152x2_bitm,21.74,365.619,8,448,236.34
tf_efficientnet_cc_b0_4e,21.44,44.859,1,224,13.31
tf_efficientnet_cc_b0_8e,20.98,45.875,1,224,24.01
xcit_medium_24_p8_384_dist,20.42,388.21,8,384,84.32
efficientnet_cc_b0_4e,20.36,47.276,1,224,13.31
ig_resnext101_32x32d,18.17,1760.063,32,224,468.53
volo_d4_448,17.6,338.311,6,448,193.41
resnetv2_101x3_bitm,17.53,454.801,8,448,387.93
tf_efficientnet_cc_b1_8e,17.15,56.006,1,240,39.72
efficientnet_cc_b1_8e,16.21,59.398,1,240,39.72
resnest269e,13.09,1826.778,24,416,110.93
tf_efficientnet_b8_ap,12.18,488.771,6,672,87.41
efficientnet_b8,12.12,491.31,6,672,87.41
nfnet_f3,12.08,1982.52,24,416,254.92
xcit_large_24_p8_384_dist,11.91,500.622,6,384,188.93
tf_efficientnet_b8,11.9,500.516,6,672,87.41
cait_m36_384,11.87,501.638,6,384,271.22
dm_nfnet_f3,11.74,2040.434,24,416,254.92
volo_d5_448,11.52,343.952,4,448,295.91
swin_v2_cr_huge_384,10.9,364.423,4,384,657.94
convmixer_1536_20,9.63,4981.706,48,224,51.63
beit_large_patch16_512,9.42,422.773,4,512,305.67
tf_efficientnet_l2_ns_475,9.0,327.787,3,475,480.31
ig_resnext101_32x48d,8.5,1880.808,16,224,828.41
volo_d5_512,8.05,369.448,3,512,296.09
nfnet_f4,6.47,1849.874,12,512,316.07
dm_nfnet_f4,6.2,1929.065,12,512,316.07
cait_m48_448,4.75,415.897,2,448,356.46
nfnet_f5,4.63,1719.792,8,544,377.21
resnetv2_152x4_bitm,4.49,443.185,2,480,936.53
dm_nfnet_f5,4.47,1782.137,8,544,377.21
nfnet_f6,3.5,1707.387,6,576,438.36
dm_nfnet_f6,3.39,1759.608,6,576,438.36
nfnet_f7,2.67,1489.771,4,608,499.5
efficientnet_l2,2.09,473.733,1,800,480.31
tf_efficientnet_l2_ns,2.09,474.031,1,800,480.31
1 model train_samples_per_sec train_step_time train_batch_size train_img_size param_count
2 tinynet_e 10725.36 46.047 512 106 2.04
3 mobilenetv3_small_050 9864.52 50.786 512 224 1.59
4 lcnet_035 9593.72 52.888 512 224 1.64
5 lcnet_050 8283.82 61.296 512 224 1.88
6 tf_mobilenetv3_small_minimal_100 8178.73 62.055 512 224 2.04
7 tinynet_d 7987.22 63.336 512 152 2.34
8 mobilenetv3_small_075 7734.29 65.482 512 224 2.04
9 mobilenetv3_small_100 7481.49 67.702 512 224 2.54
10 tf_mobilenetv3_small_075 7093.89 71.455 512 224 2.04
11 tf_mobilenetv3_small_100 6879.11 73.705 512 224 2.54
12 levit_128s 6303.14 80.293 512 224 7.78
13 lcnet_075 5742.95 88.676 512 224 2.36
14 lcnet_100 5331.75 95.531 512 224 2.95
15 mixer_s32_224 4714.36 108.029 512 224 19.1
16 mnasnet_small 4652.19 109.156 512 224 2.03
17 mnasnet_050 4534.41 112.14 512 224 2.22
18 levit_128 4434.56 114.332 512 224 9.21
19 vit_small_patch32_224 4334.06 117.284 512 224 22.88
20 mobilenetv2_035 4197.24 121.203 512 224 1.68
21 tinynet_c 4165.97 121.921 512 184 2.46
22 gernet_s 4117.74 123.649 512 224 8.17
23 semnasnet_050 4027.14 126.223 512 224 2.08
24 vit_tiny_r_s16_p8_224 3857.49 131.88 512 224 6.34
25 levit_192 3823.94 132.765 512 224 10.95
26 lcnet_150 3663.02 139.3 512 224 4.5
27 resnet18 3584.19 142.504 512 224 11.69
28 gluon_resnet18_v1b 3584.07 142.508 512 224 11.69
29 swsl_resnet18 3583.72 142.531 512 224 11.69
30 ssl_resnet18 3558.1 143.543 512 224 11.69
31 mobilenetv2_050 3541.93 143.76 512 224 1.97
32 mobilenetv3_large_075 3343.71 152.255 512 224 3.99
33 ese_vovnet19b_slim_dw 3243.14 157.395 512 224 1.9
34 tf_mobilenetv3_large_minimal_100 3227.09 157.922 512 224 3.92
35 seresnet18 3222.19 158.398 512 224 11.78
36 legacy_seresnet18 3130.77 163.021 512 224 11.78
37 tf_mobilenetv3_large_075 3109.15 163.824 512 224 3.99
38 mnasnet_075 3102.76 164.235 512 224 3.17
39 ghostnet_050 3069.54 165.437 512 224 2.59
40 mobilenetv3_rw 3020.36 168.644 512 224 5.48
41 mobilenetv3_large_100 2997.0 169.969 512 224 5.48
42 mobilenetv3_large_100_miil 2996.51 169.991 512 224 5.48
43 levit_256 2923.52 174.041 512 224 18.89
44 hardcorenas_a 2875.54 177.351 512 224 5.26
45 resnet18d 2830.02 180.547 512 224 11.71
46 mnasnet_b1 2826.42 180.324 512 224 4.38
47 mnasnet_100 2810.01 181.39 512 224 4.38
48 tf_mobilenetv3_large_100 2800.51 181.961 512 224 5.48
49 tinynet_b 2773.33 183.58 512 188 3.73
50 hardcorenas_b 2665.39 191.158 512 224 5.18
51 semnasnet_075 2649.51 192.342 512 224 2.91
52 hardcorenas_c 2643.17 192.764 512 224 5.52
53 ese_vovnet19b_slim 2613.26 195.551 512 224 3.17
54 mobilenetv2_075 2538.45 200.896 512 224 2.64
55 tf_efficientnetv2_b0 2507.59 202.986 512 224 7.14
56 spnasnet_100 2504.82 203.411 512 224 4.42
57 levit_256d 2485.6 204.456 512 224 26.21
58 hardcorenas_d 2483.8 204.983 512 224 7.5
59 semnasnet_100 2411.15 211.44 512 224 3.89
60 mnasnet_a1 2396.96 212.676 512 224 3.89
61 mobilenetv2_100 2381.65 214.209 512 224 3.5
62 regnetx_002 2371.97 215.169 512 224 2.68
63 tinynet_a 2274.6 223.875 512 192 6.19
64 regnety_002 2255.16 226.095 512 224 3.16
65 ghostnet_100 2251.56 226.062 512 224 5.18
66 fbnetc_100 2248.09 226.804 512 224 5.57
67 deit_tiny_patch16_224 2233.8 228.385 512 224 5.72
68 vit_tiny_patch16_224 2229.44 228.819 512 224 5.72
69 efficientnet_lite0 2209.28 231.003 512 224 4.65
70 hardcorenas_f 2207.45 230.839 512 224 8.2
71 deit_tiny_distilled_patch16_224 2193.62 232.567 512 224 5.91
72 hardcorenas_e 2183.35 233.392 512 224 8.07
73 xcit_nano_12_p16_224_dist 2148.4 236.588 512 224 3.05
74 xcit_nano_12_p16_224 2147.35 236.626 512 224 3.05
75 tv_resnet34 2081.13 245.45 512 224 21.8
76 resnet34 2080.93 245.474 512 224 21.8
77 gluon_resnet34_v1b 2070.75 246.674 512 224 21.8
78 pit_ti_distilled_224 2069.0 246.563 512 224 5.1
79 pit_ti_224 2067.14 246.798 512 224 4.85
80 tf_efficientnet_lite0 2051.57 248.83 512 224 4.65
81 skresnet18 2011.18 253.956 512 224 11.96
82 resnet26 1965.66 259.994 512 224 16.0
83 resnetblur18 1945.89 262.773 512 224 11.69
84 gernet_m 1920.15 265.947 512 224 21.14
85 ese_vovnet19b_dw 1905.39 268.216 512 224 6.54
86 nf_resnet26 1877.61 272.201 512 224 16.0
87 hrnet_w18_small 1858.6 274.127 512 224 13.19
88 seresnet34 1854.8 275.134 512 224 21.96
89 mnasnet_140 1835.61 278.136 512 224 7.12
90 legacy_seresnet34 1814.57 281.284 512 224 21.96
91 efficientnet_b0 1800.57 212.181 384 224 5.29
92 levit_384 1799.63 283.374 512 224 39.13
93 resnet34d 1799.03 284.0 512 224 21.82
94 mobilenetv2_110d 1768.64 216.1 384 224 4.52
95 rexnetr_100 1759.23 217.141 384 224 4.88
96 selecsls42 1754.3 291.22 512 224 30.35
97 selecsls42b 1748.59 292.176 512 224 32.46
98 mixer_b32_224 1728.02 295.478 512 224 60.29
99 tf_efficientnet_b0_ns 1702.0 224.532 384 224 5.29
100 tf_efficientnet_b0_ap 1700.69 224.751 384 224 5.29
101 tf_efficientnet_b0 1700.24 224.78 384 224 5.29
102 mixer_s16_224 1649.18 309.899 512 224 18.53
103 semnasnet_140 1640.99 311.119 512 224 6.11
104 tf_efficientnet_es 1622.88 314.744 512 224 5.44
105 efficientnet_es 1618.83 315.528 512 224 5.44
106 efficientnet_es_pruned 1616.07 316.054 512 224 5.44
107 vit_base_patch32_224_sam 1613.76 316.429 512 224 88.22
108 vit_base_patch32_224 1612.96 316.587 512 224 88.22
109 resnet26d 1609.37 317.63 512 224 16.01
110 tf_efficientnetv2_b1 1607.05 237.525 384 240 8.14
111 ghostnet_130 1600.19 318.63 512 224 7.36
112 pit_xs_distilled_224 1591.2 320.859 512 224 11.0
113 pit_xs_224 1589.39 321.258 512 224 10.62
114 repvgg_b0 1586.15 321.714 512 224 15.82
115 resmlp_12_224 1552.02 329.099 512 224 15.35
116 resmlp_12_distilled_224 1551.98 329.119 512 224 15.35
117 gmixer_12_224 1551.47 329.195 512 224 12.7
118 mobilenetv2_140 1539.46 248.646 384 224 6.11
119 mobilevit_xxs 1515.36 252.293 384 256 1.27
120 selecsls60 1486.56 343.544 512 224 30.67
121 selecsls60b 1480.82 344.867 512 224 32.77
122 nf_seresnet26 1471.47 347.302 512 224 17.4
123 xcit_tiny_12_p16_224 1422.37 358.218 512 224 6.72
124 xcit_tiny_12_p16_224_dist 1420.76 358.558 512 224 6.72
125 efficientnet_lite1 1418.67 179.483 256 240 5.42
126 vit_small_patch32_384 1414.68 361.045 512 384 22.92
127 efficientnet_b1_pruned 1384.32 368.407 512 240 6.33
128 gmlp_ti16_224 1378.39 276.995 384 224 5.87
129 dla46_c 1367.99 373.533 512 224 1.3
130 nf_ecaresnet26 1361.11 375.605 512 224 16.0
131 poolformer_s12 1359.83 375.831 512 224 11.92
132 rexnetr_130 1350.37 188.438 256 224 7.61
133 tf_efficientnet_lite1 1343.78 189.557 256 240 5.42
134 crossvit_tiny_240 1320.33 386.159 512 240 7.01
135 mobilenetv2_120d 1309.71 194.276 256 224 5.83
136 resnetv2_50 1296.0 394.281 512 224 25.55
137 gernet_l 1283.32 398.106 512 256 31.08
138 rexnet_100 1277.92 299.324 384 224 4.8
139 crossvit_9_240 1236.5 309.16 384 240 8.55
140 resnet26t 1227.85 416.475 512 256 16.01
141 ssl_resnet50 1223.5 417.643 512 224 25.56
142 resnet50 1222.61 417.956 512 224 25.56
143 tv_resnet50 1222.03 418.147 512 224 25.56
144 swsl_resnet50 1222.0 418.189 512 224 25.56
145 gluon_resnet50_v1b 1221.97 418.181 512 224 25.56
146 crossvit_9_dagger_240 1195.59 319.731 384 240 8.78
147 vit_tiny_r_s16_p8_384 1193.45 320.912 384 384 6.36
148 rexnetr_150 1185.63 214.799 256 224 9.78
149 fbnetv3_b 1184.86 322.487 384 256 8.6
150 botnet26t_256 1168.73 327.971 384 256 12.49
151 tf_efficientnetv2_b2 1157.41 219.649 256 260 10.1
152 regnetx_004 1150.82 443.834 512 224 5.16
153 repvgg_a2 1142.14 447.42 512 224 28.21
154 skresnet34 1140.48 447.803 512 224 22.28
155 resnetv2_50t 1134.35 450.541 512 224 25.57
156 fbnetv3_d 1133.65 223.966 256 256 10.31
157 resnetv2_50d 1131.93 451.499 512 224 25.57
158 gluon_resnet50_v1c 1131.41 338.54 384 224 25.58
159 halonet26t 1122.34 341.57 384 256 12.48
160 convit_tiny 1108.09 461.02 512 224 5.71
161 efficientnet_lite2 1096.26 232.544 256 260 6.09
162 dla34 1094.33 467.287 512 224 15.74
163 convnext_nano_hnf 1075.54 356.227 384 224 15.59
164 resnet50d 1070.21 357.929 384 224 25.58
165 gluon_resnet50_v1d 1070.13 357.997 384 224 25.58
166 resnet50t 1068.62 358.508 384 224 25.57
167 mixnet_s 1051.2 485.837 512 224 4.13
168 legacy_seresnext26_32x4d 1051.18 486.414 512 224 16.79
169 tf_efficientnet_lite2 1045.58 243.879 256 260 6.09
170 vit_small_resnet26d_224 1042.37 367.395 384 224 63.61
171 deit_small_patch16_224 1032.62 371.017 384 224 22.05
172 vit_small_patch16_224 1027.63 372.823 384 224 22.05
173 regnety_004 1027.25 497.255 512 224 4.34
174 tf_efficientnet_b1_ns 1026.16 247.955 256 240 7.79
175 tf_efficientnet_b1_ap 1026.11 248.006 256 240 7.79
176 tf_efficientnet_b1 1025.11 248.193 256 240 7.79
177 resnet32ts 1021.77 249.96 256 256 17.96
178 deit_small_distilled_patch16_224 1010.79 379.058 384 224 22.44
179 resnet33ts 1009.39 252.998 256 256 19.68
180 res2net50_48w_2s 1006.25 380.82 384 224 25.29
181 vovnet39a 1004.46 509.092 512 224 22.6
182 seresnext26d_32x4d 1002.27 382.471 384 224 16.81
183 seresnext26t_32x4d 1001.74 382.665 384 224 16.81
184 seresnext26tn_32x4d 1001.47 382.779 384 224 16.81
185 legacy_seresnet50 993.86 385.256 384 224 28.09
186 tf_efficientnet_em 979.63 260.356 256 240 6.9
187 efficientnet_em 978.46 260.687 256 240 6.9
188 dla46x_c 973.77 525.047 512 224 1.07
189 eca_resnet33ts 964.39 264.788 256 256 19.68
190 pit_s_224 961.0 265.507 256 224 23.46
191 pit_s_distilled_224 960.14 265.718 256 224 24.04
192 tf_mixnet_s 958.59 532.877 512 224 4.13
193 seresnet50 956.87 400.165 384 224 28.09
194 efficientnet_b1 954.91 266.596 256 256 7.79
195 seresnet33ts 954.85 267.313 256 256 19.78
196 ecaresnetlight 952.86 536.422 512 224 30.16
197 vit_base2_patch32_256 950.48 537.853 512 256 119.46
198 ese_vovnet39b 947.73 539.578 512 224 24.57
199 ecaresnext50t_32x4d 947.69 404.65 384 224 15.41
200 ecaresnext26t_32x4d 947.22 404.844 384 224 15.41
201 dla60 945.45 405.196 384 224 22.04
202 gluon_resnet50_v1s 943.31 406.227 384 224 25.68
203 resnetaa50d 941.94 406.82 384 224 25.58
204 eca_vovnet39b 939.18 544.514 512 224 22.6
205 vgg11 930.6 550.023 512 224 132.86
206 gcresnet33ts 927.58 274.995 256 256 19.88
207 lambda_resnet26rpt_256 921.55 207.755 192 256 10.99
208 dla60x_c 921.01 554.951 512 224 1.32
209 ecaresnet50d_pruned 911.85 560.565 512 224 19.94
210 resnetblur50 909.58 421.362 384 224 25.56
211 mobilevit_xs 909.51 210.0 192 256 2.32
212 cspresnet50 906.79 422.612 384 256 21.62
213 rexnetr_200 896.75 212.966 192 224 16.52
214 coat_lite_tiny 890.79 430.193 384 224 5.72
215 nf_seresnet50 886.81 431.807 384 224 28.09
216 dpn68b 878.29 436.039 384 224 12.61
217 selecsls84 872.56 585.545 512 224 50.95
218 twins_svt_small 868.85 440.366 384 224 24.06
219 hrnet_w18_small_v2 867.42 587.948 512 224 15.6
220 seresnet50t 865.51 442.504 384 224 28.1
221 cspresnext50 862.61 444.309 384 224 20.57
222 resnetrs50 861.96 444.354 384 224 35.69
223 cspresnet50w 860.12 445.567 384 256 28.12
224 cspresnet50d 849.09 451.363 384 256 21.64
225 densenet121 845.28 301.077 256 224 7.98
226 tv_densenet121 845.28 301.063 256 224 7.98
227 rexnet_150 842.23 302.82 256 224 9.73
228 tv_resnext50_32x4d 836.18 458.41 384 224 25.03
229 swsl_resnext50_32x4d 836.09 458.464 384 224 25.03
230 res2net50_26w_4s 835.77 458.208 384 224 25.7
231 coat_lite_mini 833.77 459.672 384 224 11.01
232 vit_base_resnet26d_224 833.37 459.491 384 224 101.4
233 resnext50_32x4d 832.87 460.244 384 224 25.03
234 ssl_resnext50_32x4d 832.34 460.521 384 224 25.03
235 dpn68 831.95 460.44 384 224 12.61
236 gluon_resnext50_32x4d 831.77 460.799 384 224 25.03
237 vovnet57a 828.64 616.994 512 224 36.64
238 efficientnet_b2_pruned 825.77 308.457 256 260 8.31
239 resnetblur50d 818.48 311.928 256 224 25.58
240 skresnet50 810.12 472.628 384 224 25.8
241 tf_efficientnet_b2_ap 809.72 235.646 192 260 9.11
242 tf_efficientnet_b2_ns 809.32 235.717 192 260 9.11
243 tf_efficientnet_b2 809.06 235.843 192 260 9.11
244 vgg11_bn 805.38 476.555 384 224 132.87
245 densenet121d 805.31 316.045 256 224 8.0
246 nf_ecaresnet50 804.89 476.102 384 224 25.56
247 rexnet_130 801.42 318.304 256 224 7.56
248 ecaresnet50d 793.07 483.245 384 224 25.58
249 ese_vovnet57b 790.94 484.567 384 224 38.61
250 regnetx_006 790.56 646.782 512 224 6.2
251 gcresnet50t 788.09 323.372 256 256 25.9
252 regnety_006 787.76 648.873 512 224 6.06
253 convnext_tiny 781.17 326.737 256 224 28.59
254 tf_inception_v3 774.78 494.217 384 299 23.83
255 gluon_inception_v3 774.48 494.404 384 299 23.83
256 seresnetaa50d 773.82 329.682 256 224 28.11
257 inception_v3 772.99 495.38 384 299 23.83
258 adv_inception_v3 769.85 497.351 384 299 23.83
259 resmlp_24_distilled_224 767.92 331.893 256 224 30.02
260 resnext50d_32x4d 765.61 333.516 256 224 25.05
261 resmlp_24_224 762.25 334.383 256 224 30.02
262 gmixer_24_224 759.72 335.461 256 224 24.72
263 resnetv2_101 757.49 336.449 256 224 44.54
264 res2net50_14w_8s 756.34 336.303 256 224 25.06
265 xcit_nano_12_p16_384_dist 754.95 337.338 256 384 3.05
266 sehalonet33ts 749.52 340.746 256 256 13.69
267 densenetblur121d 739.98 344.167 256 224 8.0
268 dla60_res2net 736.45 346.205 256 224 20.85
269 skresnet50d 736.23 346.324 256 224 25.82
270 mobilevit_s 734.66 260.236 192 256 5.58
271 gluon_resnet101_v1b 731.02 348.601 256 224 44.55
272 tv_resnet101 727.65 350.31 256 224 44.55
273 resnet101 727.5 350.369 256 224 44.55
274 xcit_tiny_24_p16_224 726.25 349.143 256 224 12.12
275 xcit_tiny_24_p16_224_dist 725.28 349.489 256 224 12.12
276 efficientnet_b2 724.21 263.654 192 288 9.11
277 twins_pcpvt_small 724.17 351.883 256 224 24.11
278 efficientnet_b2a 723.56 263.856 192 288 9.11
279 ecaresnet101d_pruned 714.19 715.116 512 224 24.88
280 nf_resnet50 710.87 539.322 384 288 25.56
281 nf_resnet101 707.69 540.968 384 224 44.55
282 seresnext50_32x4d 706.91 361.01 256 224 27.56
283 gluon_seresnext50_32x4d 706.58 361.114 256 224 27.56
284 efficientnet_b0_gn 705.84 361.599 256 224 5.29
285 legacy_seresnext50_32x4d 704.96 362.028 256 224 27.56
286 nf_regnet_b0 703.19 726.933 512 256 8.76
287 darknet53 701.97 363.892 256 256 41.61
288 resnetv2_101d 699.92 364.177 256 224 44.56
289 densenet169 698.35 364.121 256 224 14.15
290 gluon_resnet101_v1c 697.85 365.313 256 224 44.57
291 dla60x 694.54 367.645 256 224 17.35
292 poolformer_s24 690.11 369.675 256 224 21.39
293 semobilevit_s 684.71 279.143 192 256 5.74
294 efficientnetv2_rw_t 684.48 278.424 192 288 13.65
295 vit_small_r26_s32_224 682.34 373.878 256 224 36.43
296 convnext_tiny_hnf 681.83 374.501 256 224 28.59
297 gluon_resnet101_v1d 674.08 378.237 256 224 44.57
298 tf_efficientnetv2_b3 670.7 284.467 192 300 14.36
299 xcit_small_12_p16_224 670.22 380.208 256 224 26.25
300 xcit_small_12_p16_224_dist 669.97 380.26 256 224 26.25
301 sebotnet33ts_256 666.38 191.3 128 256 13.7
302 rexnet_200 665.99 287.162 192 224 16.37
303 vgg13 663.21 578.818 384 224 133.05
304 regnety_008 661.82 772.637 512 224 6.26
305 wide_resnet50_2 661.04 580.088 384 224 68.88
306 dla102 650.38 392.047 256 224 33.27
307 gmlp_s16_224 648.9 294.316 192 224 19.42
308 vit_base_resnet50d_224 646.39 394.444 256 224 110.97
309 swin_tiny_patch4_window7_224 639.35 399.428 256 224 28.29
310 ecaresnet26t 628.75 406.586 256 320 16.01
311 repvgg_b1 627.31 815.089 512 224 57.42
312 gluon_resnet101_v1s 624.3 408.497 256 224 44.67
313 crossvit_small_240 624.04 408.587 256 240 26.86
314 resnetaa101d 621.23 410.532 256 224 44.57
315 eca_botnext26ts_256 618.03 413.613 256 256 10.59
316 resnext26ts 615.62 623.252 384 256 10.3
317 gc_efficientnetv2_rw_t 605.04 314.593 192 288 13.68
318 eca_halonext26ts 604.41 422.932 256 256 10.76
319 seresnext26ts 598.53 427.051 256 256 10.39
320 eca_resnext26ts 598.25 427.346 256 256 10.3
321 convnext_tiny_hnfd 592.58 430.992 256 224 28.63
322 regnetx_008 591.8 864.35 512 224 7.26
323 resnetv2_50x1_bit_distilled 589.64 324.794 192 224 25.55
324 legacy_seresnet101 588.41 432.899 256 224 49.33
325 gcresnext26ts 585.17 436.656 256 256 10.48
326 halonet50ts 584.39 327.573 192 256 22.73
327 xcit_nano_12_p8_224 583.42 437.05 256 224 3.05
328 cait_xxs24_224 582.93 436.673 256 224 11.96
329 xcit_nano_12_p8_224_dist 581.01 438.848 256 224 3.05
330 mixer_b16_224 580.44 440.268 256 224 59.88
331 mixer_b16_224_miil 579.94 440.653 256 224 59.88
332 swin_s3_tiny_224 578.76 441.339 256 224 28.33
333 seresnet101 574.05 443.691 256 224 49.33
334 mixnet_m 573.23 891.634 512 224 5.01
335 res2net50_26w_6s 569.28 447.908 256 224 37.05
336 vgg13_bn 568.79 449.813 256 224 133.05
337 crossvit_15_240 568.46 335.957 192 240 27.53
338 resnetblur101d 567.71 449.352 256 224 44.57
339 cspdarknet53 565.64 451.547 256 256 27.64
340 efficientnet_lite3 563.01 226.244 128 300 8.2
341 tf_efficientnet_lite3 561.05 227.067 128 300 8.2
342 crossvit_15_dagger_240 549.96 347.22 192 240 28.21
343 resnext101_32x4d 548.6 465.031 256 224 44.18
344 tf_mixnet_m 547.03 700.438 384 224 5.01
345 swsl_resnext101_32x4d 546.13 467.192 256 224 44.18
346 gluon_resnext101_32x4d 545.31 467.899 256 224 44.18
347 ssl_resnext101_32x4d 545.31 467.944 256 224 44.18
348 densenet201 539.32 353.029 192 224 20.01
349 vgg16 536.49 715.548 384 224 138.36
350 bat_resnext26ts 533.44 478.688 256 256 10.73
351 nf_seresnet101 532.2 478.733 256 224 49.33
352 vit_base_r26_s32_224 528.57 361.981 192 224 101.38
353 resnetv2_152 524.49 485.916 256 224 60.19
354 botnet50ts_256 524.41 243.109 128 256 22.74
355 res2net101_26w_4s 523.46 486.536 256 224 45.21
356 efficientnet_b3_pruned 519.43 491.117 256 300 9.86
357 vit_base_patch32_384 517.32 494.013 256 384 88.3
358 vit_large_patch32_224 511.41 498.976 256 224 306.54
359 halo2botnet50ts_256 510.64 375.017 192 256 22.64
360 mixer_l32_224 510.1 374.908 192 224 206.94
361 swin_v2_cr_tiny_224 506.89 377.55 192 224 28.33
362 resmlp_36_distilled_224 505.72 377.435 192 224 44.69
363 resmlp_36_224 505.39 377.735 192 224 44.69
364 vit_tiny_patch16_384 503.94 253.174 128 384 5.79
365 res2next50 502.84 507.818 256 224 24.67
366 dla102x 501.98 380.938 192 224 26.31
367 swin_v2_cr_tiny_ns_224 501.36 381.688 192 224 28.33
368 resnet152 499.83 381.783 192 224 60.19
369 gluon_resnet152_v1b 499.79 381.933 192 224 60.19
370 tv_resnet152 496.47 384.401 192 224 60.19
371 xception 494.06 258.29 128 299 22.86
372 visformer_tiny 491.83 1040.332 512 224 10.32
373 mixnet_l 488.23 784.993 384 224 7.33
374 gluon_resnet152_v1c 485.58 393.139 192 224 60.21
375 resnet50_gn 484.73 395.256 192 224 25.56
376 resnetv2_152d 484.59 393.938 192 224 60.2
377 twins_pcpvt_base 480.18 397.102 192 224 43.83
378 nest_tiny 477.31 267.267 128 224 17.06
379 res2net50_26w_8s 476.93 534.581 256 224 48.4
380 ecaresnet101d 475.58 536.508 256 224 44.57
381 convnext_small 473.89 403.445 192 224 50.22
382 gluon_resnet152_v1d 473.52 403.216 192 224 60.21
383 tf_mixnet_l 470.86 542.123 256 224 7.33
384 jx_nest_tiny 470.71 271.015 128 224 17.06
385 vgg16_bn 469.97 544.386 256 224 138.37
386 nf_ecaresnet101 465.87 547.628 256 224 44.55
387 coat_lite_small 463.34 412.922 192 224 19.84
388 poolformer_s36 458.24 417.134 192 224 30.86
389 efficientnet_el 455.42 279.993 128 300 10.59
390 efficientnet_el_pruned 454.32 280.643 128 300 10.59
391 vgg19 451.86 849.574 384 224 143.67
392 convit_small 450.19 425.458 192 224 27.78
393 fbnetv3_g 449.02 283.045 128 288 16.62
394 ese_vovnet99b 448.97 568.658 256 224 63.2
395 seresnext101_32x4d 448.16 426.163 192 224 48.96
396 gluon_seresnext101_32x4d 447.49 426.94 192 224 48.96
397 gluon_resnet152_v1s 446.73 427.49 192 224 60.32
398 legacy_seresnext101_32x4d 446.01 428.263 192 224 48.96
399 nf_regnet_b3 442.03 577.378 256 320 18.59
400 tf_efficientnet_el 441.61 288.785 128 300 10.59
401 ese_vovnet39b_evos 439.23 290.493 128 224 24.58
402 dla60_res2next 437.89 583.208 256 224 17.03
403 volo_d1_224 437.25 437.756 192 224 26.63
404 dla169 436.98 436.866 192 224 53.39
405 skresnext50_32x4d 435.09 586.972 256 224 27.48
406 hrnet_w32 433.46 438.263 192 224 41.23
407 vit_small_resnet50d_s16_224 432.94 442.239 192 224 57.53
408 twins_svt_base 429.83 444.617 192 224 56.07
409 hrnet_w18 419.32 605.846 256 224 21.3
410 crossvit_18_240 400.15 317.858 128 240 43.27
411 vgg19_bn 399.74 640.035 256 224 143.68
412 ecaresnet50t 399.44 319.549 128 320 25.57
413 inception_v4 397.78 480.469 192 299 42.68
414 tf_efficientnet_b3 393.44 323.695 128 300 12.23
415 swin_small_patch4_window7_224 393.38 486.272 192 224 49.61
416 legacy_seresnet152 392.87 485.406 192 224 66.82
417 tf_efficientnet_b3_ap 392.08 324.783 128 300 12.23
418 vit_base_patch16_224_miil 391.87 489.169 192 224 86.54
419 tf_efficientnet_b3_ns 391.61 325.176 128 300 12.23
420 crossvit_18_dagger_240 387.95 327.891 128 240 44.27
421 vit_base_patch16_224 385.23 497.575 192 224 86.57
422 vit_base_patch16_224_sam 384.98 497.891 192 224 86.57
423 deit_base_patch16_224 384.15 498.956 192 224 86.57
424 cait_xxs36_224 380.29 501.012 192 224 17.3
425 repvgg_b2 380.03 1346.183 512 224 89.02
426 regnetx_016 379.21 1349.264 512 224 9.19
427 deit_base_distilled_patch16_224 378.28 506.739 192 224 87.34
428 densenet161 376.13 337.907 128 224 28.68
429 haloregnetz_b 375.52 680.247 256 224 11.68
430 xcit_tiny_12_p8_224 374.86 339.659 128 224 6.71
431 xcit_tiny_12_p8_224_dist 374.8 339.672 128 224 6.71
432 seresnet152 372.93 339.954 128 224 66.82
433 dla102x2 362.92 351.15 128 224 41.28
434 wide_resnet101_2 360.46 531.121 192 224 126.89
435 gluon_resnext101_64x4d 357.83 356.147 128 224 83.46
436 efficientnet_b3a 354.6 359.335 128 320 12.23
437 resnet200 354.57 357.998 128 224 64.67
438 xception41p 353.88 360.846 128 299 26.91
439 regnety_016 353.36 1447.082 512 224 11.2
440 efficientnet_b3 353.18 360.796 128 320 12.23
441 beit_base_patch16_224 352.29 543.93 192 224 86.53
442 resnest14d 349.84 1463.045 512 224 10.61
443 hrnet_w30 346.82 733.381 256 224 37.71
444 ens_adv_inception_resnet_v2 341.5 558.819 192 299 55.84
445 inception_resnet_v2 341.03 559.722 192 299 55.84
446 xcit_small_24_p16_224_dist 341.01 371.894 128 224 47.67
447 tnt_s_patch16_224 340.3 562.32 192 224 23.76
448 xcit_small_24_p16_224 339.02 373.952 128 224 47.67
449 efficientnet_lite4 334.87 189.779 64 380 13.01
450 dpn92 332.25 769.002 256 224 37.67
451 nf_regnet_b1 330.04 1549.911 512 288 10.22
452 twins_pcpvt_large 327.73 386.698 128 224 60.99
453 resnet101d 327.41 389.353 128 320 44.57
454 convnext_small_in22ft1k 327.31 389.301 128 224 88.59
455 convnext_base 327.3 389.374 128 224 88.59
456 convnext_base_in22ft1k 326.61 390.177 128 224 88.59
457 convnext_tiny_in22ft1k 324.94 392.181 128 224 88.59
458 tf_efficientnet_lite4 322.62 197.041 64 380 13.01
459 resnetrs101 321.74 395.61 128 288 63.62
460 pit_b_224 318.92 400.391 128 224 73.76
461 pit_b_distilled_224 318.09 401.455 128 224 74.79
462 gcresnext50ts 316.73 604.706 192 256 15.67
463 repvgg_b3 315.56 1215.795 384 224 123.09
464 gluon_seresnext101_64x4d 313.23 406.424 128 224 88.23
465 regnetz_d8 311.3 204.013 64 320 23.37
466 poolformer_m36 307.82 413.95 128 224 56.17
467 xception41 305.16 418.228 128 299 26.97
468 resnetv2_50d_gn 304.62 419.347 128 288 25.57
469 coat_tiny 304.05 418.955 128 224 5.5
470 vit_small_patch16_36x1_224 302.22 420.928 128 224 64.67
471 swin_v2_cr_small_224 302.05 421.43 128 224 49.7
472 cait_s24_224 301.09 422.497 128 224 46.92
473 mixnet_xl 300.81 849.169 256 224 11.9
474 vit_small_patch16_18x2_224 299.9 424.102 128 224 64.67
475 resnetv2_50d_frn 299.64 426.047 128 224 25.59
476 efficientnetv2_s 299.05 318.819 96 384 21.46
477 twins_svt_large 298.59 426.599 128 224 99.27
478 tf_efficientnetv2_s 297.45 320.544 96 384 21.46
479 tf_efficientnetv2_s_in21ft1k 295.84 322.238 96 384 21.46
480 efficientnetv2_rw_s 295.58 214.343 64 384 23.94
481 nest_small 295.19 323.571 96 224 38.35
482 jx_nest_small 293.04 325.974 96 224 38.35
483 hrnet_w40 291.68 653.529 192 224 57.56
484 regnetz_005 286.8 1783.819 512 224 7.12
485 nf_regnet_b2 284.19 1799.964 512 272 14.31
486 dpn98 283.21 450.397 128 224 61.57
487 gluon_xception65 280.82 339.911 96 299 39.92
488 xception65 279.18 341.922 96 299 39.92
489 resnet51q 277.93 689.969 192 288 35.7
490 nf_regnet_b4 277.28 459.47 128 384 30.21
491 swin_s3_small_224 277.05 344.678 96 224 49.74
492 swin_base_patch4_window7_224 275.83 462.244 128 224 87.77
493 xception65p 274.95 464.241 128 299 39.82
494 gmlp_b16_224 270.89 352.851 96 224 73.08
495 hrnet_w48 266.5 475.648 128 224 77.47
496 resnest26d 258.35 1485.604 384 224 17.07
497 resnest50d_1s4x24d 258.11 990.508 256 224 25.68
498 xcit_tiny_24_p16_384_dist 251.56 378.207 96 384 12.12
499 regnetz_c16 250.16 510.248 128 320 13.46
500 crossvit_base_240 249.99 382.366 96 240 105.03
501 coat_mini 247.34 515.482 128 224 10.34
502 xcit_medium_24_p16_224 244.65 519.851 128 224 84.4
503 xcit_medium_24_p16_224_dist 244.08 521.069 128 224 84.4
504 hrnet_w44 241.77 789.352 192 224 67.06
505 efficientnet_b4 241.47 262.953 64 384 19.34
506 volo_d2_224 238.72 400.292 96 224 58.68
507 tf_efficientnet_b4 236.52 268.528 64 380 19.34
508 tf_efficientnet_b4_ap 236.39 268.69 64 380 19.34
509 tf_efficientnet_b4_ns 236.1 269.028 64 380 19.34
510 vit_small_patch16_384 235.52 270.897 64 384 22.2
511 resnetv2_50d_evob 235.19 406.951 96 224 25.59
512 tresnet_m 234.84 2177.505 512 224 31.39
513 nfnet_l0 233.22 1096.449 256 288 35.07
514 visformer_small 232.72 1649.37 384 224 40.22
515 xcit_small_12_p16_384_dist 230.87 414.048 96 384 26.25
516 vit_large_r50_s32_224 228.88 417.083 96 224 328.99
517 convit_base 228.65 558.76 128 224 86.54
518 eca_nfnet_l0 226.92 1127.142 256 288 24.14
519 resnetv2_50d_evos 223.6 285.051 64 288 25.59
520 tnt_b_patch16_224 222.54 573.324 128 224 65.41
521 vit_small_r26_s32_384 221.41 287.746 64 384 36.47
522 densenet264 220.0 432.388 96 224 72.69
523 swin_s3_base_224 219.07 435.557 96 224 71.13
524 hrnet_w64 218.91 579.973 128 224 128.06
525 resnext101_64x4d 217.22 440.378 96 288 83.46
526 resnet152d 216.09 441.927 96 320 60.21
527 xception71 215.62 294.681 64 299 42.34
528 swin_v2_cr_base_224 215.23 443.662 96 224 87.88
529 dpn131 211.54 603.038 128 224 79.25
530 nest_base 210.35 302.564 64 224 67.72
531 vit_base_r50_s16_224 208.87 457.959 96 224 98.66
532 jx_nest_base 208.37 305.48 64 224 67.72
533 resnet61q 207.91 614.63 128 288 36.85
534 mixnet_xxl 202.79 629.315 128 224 23.96
535 xcit_nano_12_p8_384_dist 196.18 324.445 64 384 3.05
536 poolformer_m48 193.91 492.638 96 224 73.47
537 xcit_tiny_24_p8_224 190.8 499.85 96 224 12.11
538 xcit_tiny_24_p8_224_dist 190.62 500.3 96 224 12.11
539 seresnet200d 190.31 500.165 96 256 71.86
540 ecaresnet200d 182.23 523.49 96 256 64.69
541 regnetz_b16 181.6 1055.83 192 288 9.72
542 convnext_large_in22ft1k 180.86 529.028 96 224 197.77
543 convnext_large 180.64 529.707 96 224 197.77
544 convmixer_768_32 179.25 534.249 96 224 21.11
545 repvgg_b1g4 178.41 2868.637 512 224 39.97
546 regnety_032 178.01 1436.656 256 288 19.44
547 regnetx_032 177.68 2160.015 384 224 15.3
548 resnest50d 177.64 1439.786 256 224 27.48
549 gluon_senet154 177.29 538.24 96 224 115.09
550 senet154 176.81 539.67 96 224 115.09
551 halonet_h1 175.85 362.526 64 256 8.1
552 legacy_senet154 175.45 543.752 96 224 115.09
553 xcit_small_12_p8_224 174.99 363.954 64 224 26.21
554 xcit_small_12_p8_224_dist 174.85 364.256 64 224 26.21
555 seresnet152d 173.74 364.967 64 320 66.84
556 dpn107 173.23 552.482 96 224 86.92
557 mixer_l16_224 172.58 554.751 96 224 208.2
558 resnetrs152 171.14 370.433 64 320 86.62
559 resnest50d_4s2x40d 167.22 1529.64 256 224 30.42
560 resnet200d 166.19 382.131 64 320 64.69
561 volo_d3_224 162.25 391.709 64 224 86.33
562 regnetx_040 161.87 2371.182 384 224 22.12
563 vit_large_patch32_384 161.83 591.666 96 384 306.63
564 efficientnet_b3_gn 160.22 397.781 64 320 11.73
565 swin_large_patch4_window7_224 151.35 420.987 64 224 196.53
566 regnetx_080 150.02 2558.515 384 224 39.57
567 regnety_040s_gn 149.61 853.983 128 224 20.65
568 efficientnetv2_m 149.31 318.263 48 416 54.14
569 ssl_resnext101_32x8d 147.46 866.477 128 224 88.79
570 resnext101_32x8d 147.32 867.312 128 224 88.79
571 swsl_resnext101_32x8d 147.16 868.264 128 224 88.79
572 ig_resnext101_32x8d 146.91 869.691 128 224 88.79
573 regnetz_e8 146.27 326.163 48 320 57.7
574 resnetv2_50x1_bitm 140.77 340.162 48 448 25.55
575 seresnet269d 137.16 460.633 64 256 113.67
576 xcit_large_24_p16_224 136.77 464.553 64 224 189.1
577 xcit_large_24_p16_224_dist 136.73 464.738 64 224 189.1
578 xcit_tiny_12_p8_384_dist 128.06 373.098 48 384 6.71
579 efficientnetv2_rw_m 126.21 250.013 32 416 53.24
580 regnetx_064 124.13 2061.422 256 224 26.21
581 resnetrs200 123.75 383.587 48 320 93.21
582 dm_nfnet_f0 121.58 2104.417 256 256 71.49
583 swin_v2_cr_large_224 120.98 394.327 48 224 196.68
584 regnety_040 120.25 1595.17 192 288 20.65
585 nfnet_f0 119.63 2138.729 256 256 71.49
586 regnetv_040 118.92 1074.873 128 288 20.64
587 ese_vovnet99b_iabn 118.27 3243.951 384 224 63.2
588 xcit_small_24_p16_384_dist 117.41 405.393 48 384 47.67
589 regnetz_b16_evos 117.22 544.08 64 288 9.74
590 crossvit_15_dagger_408 116.43 273.026 32 408 28.5
591 efficientnet_b0_g8_gn 115.43 2216.717 256 224 6.56
592 vit_large_patch16_224 115.39 553.095 64 224 304.33
593 regnetz_c16_evos 115.15 414.978 48 320 13.49
594 vit_base_patch16_18x2_224 114.12 558.126 64 224 256.73
595 convnext_xlarge_in22ft1k 114.03 559.475 64 224 350.2
596 convnext_tiny_384_in22ft1k 112.53 424.859 48 384 88.59
597 convnext_small_384_in22ft1k 112.49 424.983 48 384 88.59
598 convnext_base_384_in22ft1k 112.43 425.187 48 384 88.59
599 swin_v2_cr_tiny_384 111.07 286.85 32 384 28.33
600 tf_efficientnetv2_m 109.5 289.071 32 480 54.14
601 tf_efficientnetv2_m_in21ft1k 109.37 289.435 32 480 54.14
602 beit_large_patch16_224 106.59 598.365 64 224 304.43
603 volo_d1_384 104.96 303.527 32 384 26.78
604 tresnet_l 104.79 4882.686 512 224 55.99
605 repvgg_b2g4 102.33 5002.104 512 224 61.76
606 eca_nfnet_l1 101.26 1262.246 128 320 41.41
607 volo_d4_224 101.17 471.916 48 224 192.96
608 cspdarknet53_iabn 98.65 3890.155 384 256 27.64
609 cait_xxs24_384 98.52 484.701 48 384 12.03
610 efficientnet_b5 97.28 326.485 32 456 30.39
611 tf_efficientnet_b5 95.75 331.792 32 456 30.39
612 tf_efficientnet_b5_ns 95.73 331.833 32 456 30.39
613 vit_base_patch16_384 95.69 333.568 32 384 86.86
614 deit_base_patch16_384 95.67 333.658 32 384 86.86
615 regnetz_d8_evos 95.66 332.456 32 320 23.46
616 tf_efficientnet_b5_ap 95.45 332.725 32 456 30.39
617 regnetz_040 94.56 674.98 64 320 27.12
618 regnetz_040h 94.14 678.01 64 320 28.94
619 deit_base_distilled_patch16_384 93.65 340.87 32 384 87.63
620 tresnet_xl 90.76 4227.401 384 224 78.44
621 cspresnext50_iabn 89.98 4265.102 384 256 20.57
622 resnest101e 89.71 1424.366 128 256 48.28
623 crossvit_18_dagger_408 87.99 361.633 32 408 44.61
624 xcit_small_24_p8_224 87.73 361.414 32 224 47.63
625 xcit_small_24_p8_224_dist 87.7 361.441 32 224 47.63
626 resnetv2_101x1_bitm 86.89 366.637 32 448 44.54
627 nf_regnet_b5 86.53 736.892 64 456 49.74
628 resnetv2_152x2_bit_teacher 86.4 368.012 32 224 236.34
629 repvgg_b3g4 84.75 4530.071 384 224 83.83
630 vit_large_patch14_224 84.3 567.814 48 224 304.2
631 beit_base_patch16_384 82.73 385.724 32 384 86.74
632 seresnext101_32x8d 81.65 781.61 64 288 93.57
633 xcit_medium_24_p16_384_dist 81.08 391.168 32 384 84.4
634 ecaresnet269d 77.88 406.425 32 352 102.09
635 regnetx_120 77.54 3300.773 256 224 46.11
636 pnasnet5large 76.44 414.721 32 331 86.06
637 vit_large_r50_s32_384 75.76 419.984 32 384 329.09
638 regnety_120 75.34 2547.007 192 224 51.82
639 resnetrs270 75.27 419.128 32 352 129.86
640 swin_base_patch4_window12_384 73.61 432.836 32 384 87.9
641 regnety_064 72.69 1759.173 128 288 30.58
642 regnetz_d32 72.18 885.049 64 320 27.58
643 regnetv_064 71.81 1780.738 128 288 30.58
644 resmlp_big_24_224 68.34 466.717 32 224 129.14
645 resmlp_big_24_224_in22ft1k 68.31 466.955 32 224 129.14
646 resmlp_big_24_distilled_224 68.26 467.278 32 224 129.14
647 regnety_320 67.49 1895.092 128 224 145.05
648 nasnetalarge 66.93 473.19 32 331 88.75
649 swin_v2_cr_small_384 66.26 359.874 24 384 49.7
650 cait_xs24_384 65.98 482.447 32 384 26.67
651 regnety_080 65.45 1954.421 128 288 39.18
652 regnetx_160 65.01 2952.336 192 224 54.28
653 xcit_tiny_24_p8_384_dist 64.61 492.002 32 384 12.11
654 volo_d5_224 64.26 494.733 32 224 295.46
655 cait_xxs36_384 63.75 498.023 32 384 17.37
656 vit_base_patch8_224 62.96 380.293 24 224 86.58
657 xcit_medium_24_p8_224 62.71 506.97 32 224 84.32
658 xcit_medium_24_p8_224_dist 62.63 507.407 32 224 84.32
659 efficientnet_b3_g8_gn 62.43 1023.448 64 320 14.25
660 convnext_large_384_in22ft1k 61.7 516.836 32 384 197.77
661 convmixer_1024_20_ks9_p14 61.37 4170.722 256 224 24.38
662 efficientnet_b0_g16_evos 60.46 6350.16 384 224 8.11
663 tf_efficientnetv2_l_in21ft1k 60.25 261.19 16 480 118.52
664 xcit_small_12_p8_384_dist 60.04 398.02 24 384 26.21
665 efficientnetv2_l 59.19 265.957 16 480 118.52
666 vit_base_resnet50_384 59.0 405.136 24 384 98.95
667 tf_efficientnetv2_l 58.87 267.382 16 480 118.52
668 vit_base_r50_s16_384 58.85 406.196 24 384 98.95
669 volo_d2_384 58.21 273.125 16 384 58.87
670 tresnet_m_448 53.55 3582.526 192 448 31.39
671 cait_s24_384 49.8 479.385 24 384 47.06
672 regnety_160 48.14 1993.0 96 288 83.59
673 ig_resnext101_32x16d 47.52 2018.737 96 224 194.03
674 swsl_resnext101_32x16d 47.43 2022.391 96 224 194.03
675 xcit_large_24_p16_384_dist 47.39 502.961 24 384 189.1
676 ssl_resnext101_32x16d 47.29 2028.601 96 224 194.03
677 resnetrs350 47.22 500.442 24 384 163.96
678 swin_v2_cr_base_384 47.19 336.677 16 384 87.88
679 swin_v2_cr_huge_224 46.26 343.404 16 224 657.83
680 regnetx_320 46.16 2771.769 128 224 107.81
681 eca_nfnet_l2 44.82 1425.204 64 384 56.72
682 efficientnet_b6 42.73 371.597 16 528 43.04
683 tf_efficientnet_b6 41.54 382.29 16 528 43.04
684 tf_efficientnet_b6_ns 41.5 382.621 16 528 43.04
685 tf_efficientnet_b6_ap 41.36 384.088 16 528 43.04
686 swin_large_patch4_window12_384 41.02 388.265 16 384 196.74
687 nfnet_f1 40.44 2371.478 96 320 132.63
688 vit_huge_patch14_224 39.64 401.543 16 224 632.05
689 dm_nfnet_f1 38.26 1670.645 64 320 132.63
690 convnext_xlarge_384_in22ft1k 37.04 430.195 16 384 350.2
691 efficientnet_b7 36.68 214.625 8 600 66.35
692 efficientnetv2_xl 36.54 322.755 12 512 208.12
693 tf_efficientnetv2_xl_in21ft1k 36.36 324.371 12 512 208.12
694 tf_efficientnet_b7_ap 36.21 217.402 8 600 66.35
695 tf_efficientnet_b7 36.05 218.422 8 600 66.35
696 tf_efficientnet_b7_ns 35.41 221.975 8 600 66.35
697 xcit_large_24_p8_224 34.96 454.269 16 224 188.93
698 xcit_large_24_p8_224_dist 34.92 454.696 16 224 188.93
699 resnetrs420 32.2 487.619 16 416 191.89
700 cait_s36_384 32.09 494.814 16 384 68.37
701 resnest200e 32.0 1494.763 48 320 70.2
702 densenet264d_iabn 31.93 4003.992 128 224 72.74
703 resnetv2_50x3_bitm 31.81 502.194 16 448 217.32
704 xcit_small_24_p8_384_dist 29.97 396.971 12 384 47.63
705 resnetv2_152x2_bit_teacher_384 29.92 398.698 12 384 236.34
706 vit_large_patch16_384 28.85 414.372 12 384 304.72
707 swin_v2_cr_large_384 28.47 419.18 12 384 196.68
708 tresnet_l_448 25.64 4988.984 128 448 55.99
709 beit_large_patch16_384 25.11 475.839 12 384 305.0
710 volo_d3_448 24.79 320.233 8 448 86.63
711 eca_nfnet_l3 24.19 1319.468 32 448 72.04
712 tresnet_xl_448 23.17 4140.191 96 448 78.44
713 nfnet_f2 22.36 2143.929 48 352 193.78
714 vit_giant_patch14_224 22.25 356.944 8 224 1012.61
715 dm_nfnet_f2 22.12 2166.49 48 352 193.78
716 efficientnet_cc_b0_8e 21.78 44.083 1 224 24.01
717 resnetv2_152x2_bitm 21.74 365.619 8 448 236.34
718 tf_efficientnet_cc_b0_4e 21.44 44.859 1 224 13.31
719 tf_efficientnet_cc_b0_8e 20.98 45.875 1 224 24.01
720 xcit_medium_24_p8_384_dist 20.42 388.21 8 384 84.32
721 efficientnet_cc_b0_4e 20.36 47.276 1 224 13.31
722 ig_resnext101_32x32d 18.17 1760.063 32 224 468.53
723 volo_d4_448 17.6 338.311 6 448 193.41
724 resnetv2_101x3_bitm 17.53 454.801 8 448 387.93
725 tf_efficientnet_cc_b1_8e 17.15 56.006 1 240 39.72
726 efficientnet_cc_b1_8e 16.21 59.398 1 240 39.72
727 resnest269e 13.09 1826.778 24 416 110.93
728 tf_efficientnet_b8_ap 12.18 488.771 6 672 87.41
729 efficientnet_b8 12.12 491.31 6 672 87.41
730 nfnet_f3 12.08 1982.52 24 416 254.92
731 xcit_large_24_p8_384_dist 11.91 500.622 6 384 188.93
732 tf_efficientnet_b8 11.9 500.516 6 672 87.41
733 cait_m36_384 11.87 501.638 6 384 271.22
734 dm_nfnet_f3 11.74 2040.434 24 416 254.92
735 volo_d5_448 11.52 343.952 4 448 295.91
736 swin_v2_cr_huge_384 10.9 364.423 4 384 657.94
737 convmixer_1536_20 9.63 4981.706 48 224 51.63
738 beit_large_patch16_512 9.42 422.773 4 512 305.67
739 tf_efficientnet_l2_ns_475 9.0 327.787 3 475 480.31
740 ig_resnext101_32x48d 8.5 1880.808 16 224 828.41
741 volo_d5_512 8.05 369.448 3 512 296.09
742 nfnet_f4 6.47 1849.874 12 512 316.07
743 dm_nfnet_f4 6.2 1929.065 12 512 316.07
744 cait_m48_448 4.75 415.897 2 448 356.46
745 nfnet_f5 4.63 1719.792 8 544 377.21
746 resnetv2_152x4_bitm 4.49 443.185 2 480 936.53
747 dm_nfnet_f5 4.47 1782.137 8 544 377.21
748 nfnet_f6 3.5 1707.387 6 576 438.36
749 dm_nfnet_f6 3.39 1759.608 6 576 438.36
750 nfnet_f7 2.67 1489.771 4 608 499.5
751 efficientnet_l2 2.09 473.733 1 800 480.31
752 tf_efficientnet_l2_ns 2.09 474.031 1 800 480.31
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