pytorch-image-models/results/benchmark-infer-amp-nhwc-pt112-cu113-rtx3090.csv

model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
tinynet_e,70939.06,14.424,1024,106,0.03,0.69,2.04
mobilenetv3_small_050,53363.87,19.179,1024,224,0.03,0.92,1.59
lcnet_035,39908.29,25.648,1024,224,0.03,1.04,1.64
mobilenetv3_small_075,38048.72,26.902,1024,224,0.05,1.3,2.04
tinynet_d,35634.7,28.724,1024,152,0.05,1.42,2.34
lcnet_050,35231.0,29.055,1024,224,0.05,1.26,1.88
mobilenetv3_small_100,34913.55,29.319,1024,224,0.06,1.42,2.54
tf_mobilenetv3_small_minimal_100,31288.96,32.716,1024,224,0.06,1.41,2.04
tf_mobilenetv3_small_075,30676.85,33.368,1024,224,0.05,1.3,2.04
lcnet_075,30088.74,34.022,1024,224,0.1,1.99,2.36
tf_mobilenetv3_small_100,28547.5,35.858,1024,224,0.06,1.42,2.54
lcnet_100,23945.91,42.753,1024,224,0.16,2.52,2.95
mnasnet_small,22244.35,46.024,1024,224,0.07,2.16,2.03
levit_128s,22002.58,46.529,1024,224,0.31,1.88,7.78
mobilenetv2_035,20937.19,48.897,1024,224,0.07,2.86,1.68
mnasnet_050,18984.06,53.93,1024,224,0.11,3.07,2.22
ghostnet_050,18415.88,55.593,1024,224,0.05,1.77,2.59
tinynet_c,17846.73,57.365,1024,184,0.11,2.87,2.46
mobilenetv2_050,16928.19,60.48,1024,224,0.1,3.64,1.97
semnasnet_050,16394.61,62.449,1024,224,0.11,3.44,2.08
lcnet_150,15508.0,66.02,1024,224,0.34,3.79,4.5
gernet_s,15282.73,66.993,1024,224,0.75,2.65,8.17
levit_128,14929.05,68.581,1024,224,0.41,2.71,9.21
cs3darknet_focus_s,14654.05,69.868,1024,256,0.69,2.7,3.27
cs3darknet_s,14422.34,70.991,1024,256,0.72,2.97,3.28
mobilenetv3_large_075,14412.2,71.04,1024,224,0.16,4.0,3.99
mixer_s32_224,13576.58,75.414,1024,224,1.0,2.28,19.1
resnet10t,13509.21,75.789,1024,224,1.1,2.43,5.44
mobilenetv3_rw,13202.47,77.551,1024,224,0.23,4.41,5.48
levit_192,13174.02,77.717,1024,224,0.66,3.2,10.95
mobilenetv3_large_100,12955.77,79.027,1024,224,0.23,4.41,5.48
mobilenetv3_large_100_miil,12954.49,79.035,1024,224,0.23,4.41,5.48
vit_small_patch32_224,12913.76,79.284,1024,224,1.15,2.5,22.88
hardcorenas_a,12748.25,80.313,1024,224,0.23,4.38,5.26
mnasnet_075,12700.79,80.614,1024,224,0.23,4.77,3.17
tf_mobilenetv3_large_075,12296.64,83.262,1024,224,0.16,4.0,3.99
tinynet_b,12104.09,84.587,1024,188,0.21,4.44,3.73
tf_mobilenetv3_large_minimal_100,11915.92,85.923,1024,224,0.22,4.4,3.92
hardcorenas_b,11667.78,87.752,1024,224,0.26,5.09,5.18
hardcorenas_c,11602.35,88.247,1024,224,0.28,5.01,5.52
ese_vovnet19b_slim_dw,11450.49,89.417,1024,224,0.4,5.28,1.9
mnasnet_b1,11305.32,90.567,1024,224,0.33,5.46,4.38
mnasnet_100,11303.72,90.578,1024,224,0.33,5.46,4.38
tf_mobilenetv3_large_100,11165.87,91.695,1024,224,0.23,4.41,5.48
gluon_resnet18_v1b,11046.16,92.691,1024,224,1.82,2.48,11.69
ssl_resnet18,11027.01,92.852,1024,224,1.82,2.48,11.69
resnet18,11023.6,92.881,1024,224,1.82,2.48,11.69
swsl_resnet18,11003.86,93.048,1024,224,1.82,2.48,11.69
semnasnet_075,10953.15,93.479,1024,224,0.23,5.54,2.91
regnetx_004,10946.78,93.533,1024,224,0.4,3.14,5.16
hardcorenas_d,10898.13,93.95,1024,224,0.3,4.93,7.5
mobilenetv2_075,10779.36,94.985,1024,224,0.22,5.86,2.64
ghostnet_100,10498.38,97.527,1024,224,0.15,3.55,5.18
seresnet18,10333.85,99.081,1024,224,1.82,2.49,11.78
vit_tiny_r_s16_p8_224,10273.23,99.666,1024,224,0.44,2.06,6.34
spnasnet_100,10240.55,99.983,1024,224,0.35,6.03,4.42
legacy_seresnet18,10026.58,102.118,1024,224,1.82,2.49,11.78
mnasnet_a1,9730.7,105.223,1024,224,0.32,6.23,3.89
semnasnet_100,9728.29,105.249,1024,224,0.32,6.23,3.89
tf_efficientnetv2_b0,9714.68,105.397,1024,224,0.73,4.77,7.14
tinynet_a,9706.17,105.487,1024,192,0.35,5.41,6.19
hardcorenas_f,9654.05,106.058,1024,224,0.35,5.57,8.2
mobilenetv2_100,9591.46,106.751,1024,224,0.31,6.68,3.5
levit_256,9580.42,106.874,1024,224,1.13,4.23,18.89
regnetx_002,9551.99,107.191,1024,224,0.2,2.16,2.68
hardcorenas_e,9521.78,107.531,1024,224,0.35,5.65,8.07
efficientnet_lite0,9415.07,108.751,1024,224,0.4,6.74,4.65
regnety_002,9227.09,110.966,1024,224,0.2,2.17,3.16
fbnetc_100,9182.63,111.504,1024,224,0.4,6.51,5.57
resnet18d,9153.04,111.864,1024,224,2.06,3.29,11.71
regnety_006,9048.64,113.154,1024,224,0.61,4.33,6.06
ese_vovnet19b_slim,8822.42,116.057,1024,224,1.69,3.52,3.17
ghostnet_130,8402.81,121.852,1024,224,0.24,4.6,7.36
regnetx_006,8395.84,121.954,1024,224,0.61,3.98,6.2
levit_256d,8131.84,125.914,1024,224,1.4,4.93,26.21
tf_efficientnet_lite0,8115.07,126.174,1024,224,0.4,6.74,4.65
regnetz_005,8104.32,126.341,1024,224,0.52,5.86,7.12
efficientnet_b0,8015.36,127.743,1024,224,0.4,6.75,5.29
xcit_nano_12_p16_224_dist,7700.28,132.971,1024,224,0.56,4.17,3.05
xcit_nano_12_p16_224,7692.58,133.102,1024,224,0.56,4.17,3.05
mnasnet_140,7484.35,136.808,1024,224,0.6,7.71,7.12
rexnetr_100,7414.06,138.105,1024,224,0.43,7.72,4.88
resnet14t,7298.17,140.296,1024,224,1.69,5.8,10.08
mobilenetv2_110d,7233.3,141.556,1024,224,0.45,8.71,4.52
regnetx_008,7112.68,143.957,1024,224,0.81,5.15,7.26
tf_efficientnet_b0_ns,7058.22,145.067,1024,224,0.4,6.75,5.29
tf_efficientnet_b0_ap,7055.15,145.131,1024,224,0.4,6.75,5.29
tf_efficientnet_b0,7052.24,145.19,1024,224,0.4,6.75,5.29
edgenext_xx_small,6998.78,146.298,1024,256,0.33,4.21,1.33
dla46_c,6933.78,147.671,1024,224,0.58,4.5,1.3
deit_tiny_patch16_224,6855.38,149.36,1024,224,1.26,5.97,5.72
vit_tiny_patch16_224,6844.8,149.592,1024,224,1.26,5.97,5.72
regnety_008,6827.19,149.977,1024,224,0.81,5.25,6.26
gernet_m,6753.27,151.619,1024,224,3.02,5.24,21.14
deit_tiny_distilled_patch16_224,6720.97,152.347,1024,224,1.27,6.01,5.91
efficientnet_b1_pruned,6608.04,154.952,1024,240,0.4,6.21,6.33
hrnet_w18_small,6603.38,155.061,1024,224,1.61,5.72,13.19
gluon_resnet34_v1b,6434.28,159.136,1024,224,3.67,3.74,21.8
semnasnet_140,6428.21,159.287,1024,224,0.6,8.87,6.11
tv_resnet34,6406.04,159.838,1024,224,3.67,3.74,21.8
resnet34,6404.45,159.878,1024,224,3.67,3.74,21.8
ese_vovnet19b_dw,6353.89,161.15,1024,224,1.34,8.25,6.54
rexnet_100,6291.85,162.738,1024,224,0.41,7.44,4.8
mobilenetv2_140,6258.1,163.617,1024,224,0.6,9.57,6.11
mobilevitv2_050,6228.2,164.403,1024,256,0.48,8.04,1.37
efficientnet_lite1,6215.56,164.736,1024,240,0.62,10.14,5.42
tf_efficientnetv2_b1,6143.78,166.661,1024,240,1.21,7.34,8.14
visformer_tiny,6090.13,168.13,1024,224,1.27,5.72,10.32
fbnetv3_b,6012.29,170.307,1024,256,0.55,9.1,8.6
seresnet34,5988.65,170.978,1024,224,3.67,3.74,21.96
resnet26,5923.37,172.863,1024,224,2.36,7.35,16.0
efficientnet_es,5871.09,174.403,1024,224,1.81,8.73,5.44
efficientnet_es_pruned,5866.42,174.542,1024,224,1.81,8.73,5.44
selecsls42,5796.58,176.643,1024,224,2.94,4.62,30.35
pit_ti_distilled_224,5792.34,176.773,1024,224,0.71,6.23,5.1
legacy_seresnet34,5780.67,177.13,1024,224,3.67,3.74,21.96
selecsls42b,5766.92,177.544,1024,224,2.98,4.62,32.46
pit_ti_224,5764.0,177.643,1024,224,0.7,6.19,4.85
resnet34d,5748.0,178.138,1024,224,3.91,4.54,21.82
levit_384,5659.16,180.934,1024,224,2.36,6.26,39.13
tf_efficientnet_es,5608.15,182.58,1024,224,1.81,8.73,5.44
resnetblur18,5572.02,183.764,1024,224,2.34,3.39,11.69
tf_efficientnet_lite1,5541.93,184.761,1024,240,0.62,10.14,5.42
rexnetr_130,5487.71,186.587,1024,224,0.68,9.81,7.61
cs3darknet_m,5481.96,186.783,1024,288,2.63,6.69,9.31
mixnet_s,5402.43,189.533,1024,224,0.25,6.25,4.13
regnety_004,5382.71,190.227,1024,224,0.41,3.89,4.34
skresnet18,5371.9,190.61,1024,224,1.82,3.24,11.96
darknet17,5347.86,143.598,768,256,3.26,7.18,14.3
mobilevit_xxs,5306.36,192.964,1024,256,0.42,8.34,1.27
cs3darknet_focus_m,5289.88,193.566,1024,288,2.51,6.19,9.3
mobilenetv2_120d,5178.64,197.724,1024,224,0.69,11.97,5.83
repvgg_b0,5161.18,198.394,1024,224,3.41,6.15,15.82
xcit_tiny_12_p16_224_dist,5107.76,200.467,1024,224,1.24,6.29,6.72
xcit_tiny_12_p16_224,5104.48,200.597,1024,224,1.24,6.29,6.72
resnet26d,5093.48,201.03,1024,224,2.6,8.15,16.01
tf_mixnet_s,4981.9,205.528,1024,224,0.25,6.25,4.13
vit_base_patch32_224_sam,4925.79,207.875,1024,224,4.41,5.01,88.22
vit_base_patch32_224,4923.14,207.986,1024,224,4.41,5.01,88.22
selecsls60,4922.02,208.033,1024,224,3.59,5.52,30.67
mixer_b32_224,4909.46,208.566,1024,224,3.24,6.29,60.29
selecsls60b,4902.59,208.858,1024,224,3.63,5.52,32.77
rexnetr_150,4887.15,209.518,1024,224,0.89,11.13,9.78
nf_resnet26,4834.78,211.787,1024,224,2.41,7.35,16.0
darknet21,4804.05,159.854,768,256,3.93,7.47,20.86
resmlp_12_distilled_224,4801.62,213.251,1024,224,3.01,5.5,15.35
resmlp_12_224,4801.47,213.257,1024,224,3.01,5.5,15.35
efficientnet_lite2,4791.14,213.716,1024,260,0.89,12.9,6.09
pit_xs_224,4790.75,213.733,1024,224,1.4,7.71,10.62
fbnetv3_d,4788.83,213.819,1024,256,0.68,11.1,10.31
pit_xs_distilled_224,4740.73,215.989,1024,224,1.41,7.76,11.0
dla34,4712.5,217.283,1024,224,3.07,5.02,15.74
sedarknet21,4615.23,166.394,768,256,3.93,7.47,20.95
resnext26ts,4512.74,226.902,1024,256,2.43,10.52,10.3
tf_efficientnetv2_b2,4506.54,227.212,1024,260,1.72,9.84,10.1
mixer_s16_224,4471.0,229.021,1024,224,3.79,5.97,18.53
legacy_seresnext26_32x4d,4467.81,229.184,1024,224,2.49,9.39,16.79
edgenext_x_small,4458.42,229.664,1024,256,0.68,7.5,2.34
gernet_l,4450.89,230.055,1024,256,4.57,8.0,31.08
tf_efficientnet_b1,4403.29,232.542,1024,240,0.71,10.88,7.79
tf_efficientnet_b1_ns,4402.75,232.57,1024,240,0.71,10.88,7.79
tf_efficientnet_b1_ap,4402.24,232.597,1024,240,0.71,10.88,7.79
eca_resnext26ts,4354.84,235.13,1024,256,2.43,10.52,10.3
seresnext26ts,4350.24,235.378,1024,256,2.43,10.52,10.39
tf_efficientnet_lite2,4300.72,238.087,1024,260,0.89,12.9,6.09
gcresnext26ts,4295.78,238.361,1024,256,2.43,10.53,10.48
rexnet_130,4282.77,239.085,1024,224,0.68,9.71,7.56
efficientnet_b1,4273.32,239.615,1024,256,0.77,12.22,7.79
gmlp_ti16_224,4143.15,247.143,1024,224,1.34,7.55,5.87
efficientnet_b0_g16_evos,4127.77,248.064,1024,224,1.01,7.42,8.11
crossvit_tiny_240,4122.07,248.408,1024,240,1.57,9.08,7.01
nf_ecaresnet26,4104.24,249.486,1024,224,2.41,7.36,16.0
efficientnet_b2_pruned,4103.05,249.558,1024,260,0.73,9.13,8.31
nf_seresnet26,4102.39,249.599,1024,224,2.41,7.36,17.4
mobilevitv2_075,4066.07,251.829,1024,256,1.05,12.06,2.87
vit_small_patch32_384,4025.63,254.359,1024,384,3.45,8.25,22.92
ecaresnext50t_32x4d,4000.29,255.97,1024,224,2.7,10.09,15.41
ecaresnext26t_32x4d,3998.13,256.108,1024,224,2.7,10.09,15.41
seresnext26tn_32x4d,3995.56,256.274,1024,224,2.7,10.09,16.81
seresnext26t_32x4d,3993.92,256.378,1024,224,2.7,10.09,16.81
seresnext26d_32x4d,3982.98,257.083,1024,224,2.73,10.19,16.81
resnet26t,3922.56,261.042,1024,256,3.35,10.52,16.01
dla46x_c,3917.72,261.363,1024,224,0.54,5.66,1.07
rexnet_150,3870.49,264.554,1024,224,0.9,11.21,9.73
resnetv2_50,3868.33,264.701,1024,224,4.11,11.11,25.55
crossvit_9_240,3865.11,264.922,1024,240,1.85,9.52,8.55
convnext_nano_ols,3859.14,265.333,1024,224,2.5,8.37,15.6
nf_regnet_b0,3819.49,268.086,1024,256,0.64,5.58,8.76
ecaresnet50d_pruned,3812.92,268.549,1024,224,2.53,6.43,19.94
regnetx_016,3808.7,268.846,1024,224,1.62,7.93,9.19
crossvit_9_dagger_240,3792.18,270.018,1024,240,1.99,9.97,8.78
dla60x_c,3787.69,270.337,1024,224,0.59,6.01,1.32
convnext_nano_hnf,3786.83,270.399,1024,224,2.46,8.37,15.59
ecaresnetlight,3729.3,274.57,1024,224,4.11,8.42,30.16
poolformer_s12,3722.39,275.081,1024,224,1.82,5.53,11.92
gmixer_12_224,3686.02,277.795,1024,224,2.67,7.26,12.7
gluon_resnet50_v1b,3677.5,278.438,1024,224,4.11,11.11,25.56
resnet50,3676.35,278.526,1024,224,4.11,11.11,25.56
ssl_resnet50,3674.86,278.638,1024,224,4.11,11.11,25.56
tv_resnet50,3673.31,278.756,1024,224,4.11,11.11,25.56
swsl_resnet50,3672.81,278.794,1024,224,4.11,11.11,25.56
dpn68,3650.67,280.484,1024,224,2.35,10.47,12.61
dpn68b,3606.63,283.907,1024,224,2.35,10.47,12.61
botnet26t_256,3555.59,287.983,1024,256,3.32,11.98,12.49
regnety_016,3516.07,291.222,1024,224,1.63,8.04,11.2
repvgg_a2,3514.85,291.324,1024,224,5.7,6.26,28.21
resnetv2_50t,3513.08,291.47,1024,224,4.32,11.82,25.57
efficientnet_em,3504.92,292.149,1024,240,3.04,14.34,6.9
mixnet_m,3496.31,292.868,1024,224,0.36,8.19,5.01
resnetv2_50d,3496.21,292.876,1024,224,4.35,11.92,25.57
rexnetr_200,3492.0,219.921,768,224,1.59,15.11,16.52
halonet26t,3480.88,294.167,1024,256,3.19,11.69,12.48
gluon_resnet50_v1c,3476.97,294.498,1024,224,4.35,11.92,25.58
resnet32ts,3465.97,295.433,1024,256,4.63,11.58,17.96
bat_resnext26ts,3457.26,296.173,1024,256,2.53,12.51,10.73
resnet33ts,3415.09,299.834,1024,256,4.76,11.66,19.68
tf_efficientnet_b2_ns,3414.14,299.918,1024,260,1.02,13.83,9.11
tf_efficientnet_b2,3412.6,300.052,1024,260,1.02,13.83,9.11
tf_efficientnet_b2_ap,3412.15,300.092,1024,260,1.02,13.83,9.11
tf_efficientnet_em,3389.12,302.132,1024,240,3.04,14.34,6.9
resnet50t,3345.79,306.045,1024,224,4.32,11.82,25.57
gluon_resnet50_v1d,3337.44,306.809,1024,224,4.35,11.92,25.58
resnet50d,3336.65,306.882,1024,224,4.35,11.92,25.58
vit_tiny_r_s16_p8_384,3314.06,154.482,512,384,1.34,6.49,6.36
legacy_seresnet50,3311.17,309.245,1024,224,3.88,10.6,28.09
seresnet33ts,3304.6,309.859,1024,256,4.76,11.66,19.78
tf_mixnet_m,3303.11,309.997,1024,224,0.36,8.19,5.01
eca_resnet33ts,3297.96,310.484,1024,256,4.76,11.66,19.68
convit_tiny,3289.83,311.251,1024,224,1.26,7.94,5.71
gcresnet33ts,3263.32,313.778,1024,256,4.76,11.68,19.88
vit_small_resnet26d_224,3252.42,314.83,1024,224,5.07,11.12,63.61
vovnet39a,3229.96,317.018,1024,224,7.09,6.73,22.6
efficientnet_b2a,3221.33,317.868,1024,288,1.12,16.2,9.11
efficientnet_b2,3221.08,317.894,1024,288,1.12,16.2,9.11
efficientnet_b3_pruned,3195.08,320.48,1024,300,1.04,11.86,9.86
seresnet50,3183.22,321.675,1024,224,4.11,11.13,28.09
cs3darknet_l,3171.55,322.859,1024,288,6.16,10.83,21.16
cs3darknet_focus_l,3146.07,325.473,1024,288,5.9,10.16,21.15
res2net50_48w_2s,3141.04,325.995,1024,224,4.18,11.72,25.29
eca_vovnet39b,3123.78,327.796,1024,224,7.09,6.74,22.6
ese_vovnet39b,3117.85,328.419,1024,224,7.09,6.74,24.57
mobilevit_xs,3095.24,248.113,768,256,1.05,16.33,2.32
resnext50_32x4d,3092.67,331.094,1024,224,4.26,14.4,25.03
ssl_resnext50_32x4d,3089.61,331.422,1024,224,4.26,14.4,25.03
gluon_resnext50_32x4d,3087.43,331.656,1024,224,4.26,14.4,25.03
swsl_resnext50_32x4d,3086.28,331.779,1024,224,4.26,14.4,25.03
tv_resnext50_32x4d,3085.42,331.872,1024,224,4.26,14.4,25.03
hrnet_w18_small_v2,3075.57,332.934,1024,224,2.62,9.65,15.6
eca_botnext26ts_256,3069.01,333.646,1024,256,2.46,11.6,10.59
dla60,3049.62,335.767,1024,224,4.26,10.16,22.04
vgg11,3048.59,167.933,512,224,7.61,7.44,132.86
skresnet34,3035.0,337.386,1024,224,3.67,5.13,22.28
mobilevitv2_100,3028.13,253.611,768,256,1.84,16.08,4.9
vit_small_patch16_224,3005.65,340.679,1024,224,4.61,11.95,22.05
deit_small_patch16_224,3005.16,340.735,1024,224,4.61,11.95,22.05
eca_halonext26ts,2980.4,343.567,1024,256,2.44,11.46,10.76
resnetaa50d,2972.16,344.518,1024,224,5.39,12.44,25.58
ecaresnet101d_pruned,2963.47,345.529,1024,224,3.48,7.69,24.88
coat_lite_tiny,2957.59,346.216,1024,224,1.6,11.65,5.72
cs3sedarknet_l,2955.87,346.418,1024,288,6.16,10.83,21.91
deit_small_distilled_patch16_224,2950.21,347.082,1024,224,4.63,12.02,22.44
gluon_resnet50_v1s,2947.99,347.343,1024,224,5.47,13.52,25.68
resnetrs50,2945.06,347.688,1024,224,4.48,12.14,35.69
seresnet50t,2939.07,348.397,1024,224,4.32,11.83,28.1
densenet121,2936.15,348.744,1024,224,2.87,6.9,7.98
pit_s_224,2935.87,348.777,1024,224,2.88,11.56,23.46
ecaresnet50d,2934.67,348.92,1024,224,4.35,11.93,25.58
tv_densenet121,2927.3,349.799,1024,224,2.87,6.9,7.98
selecsls84,2927.1,349.822,1024,224,5.9,7.57,50.95
pit_s_distilled_224,2909.88,351.892,1024,224,2.9,11.64,24.04
vit_relpos_base_patch32_plus_rpn_256,2858.63,358.203,1024,256,7.68,8.01,119.42
deit3_small_patch16_224_in21ft1k,2858.2,358.255,1024,224,4.61,11.95,22.06
deit3_small_patch16_224,2853.97,358.786,1024,224,4.61,11.95,22.06
resnext50d_32x4d,2849.78,359.313,1024,224,4.5,15.2,25.05
vit_relpos_small_patch16_rpn_224,2814.18,363.86,1024,224,4.59,13.05,21.97
densenet121d,2808.28,364.624,1024,224,3.11,7.7,8.0
cspresnet50,2805.19,365.024,1024,256,4.54,11.5,21.62
vit_relpos_small_patch16_224,2800.45,365.643,1024,224,4.59,13.05,21.98
gcresnext50ts,2798.56,365.89,1024,256,3.75,15.46,15.67
vit_srelpos_small_patch16_224,2795.09,366.343,1024,224,4.59,12.16,21.97
coat_lite_mini,2774.65,369.044,1024,224,2.0,12.25,11.01
haloregnetz_b,2774.49,369.064,1024,224,1.97,11.94,11.68
vit_base_patch32_plus_256,2772.64,369.31,1024,256,7.79,7.76,119.48
rexnet_200,2762.14,278.034,768,224,1.56,14.91,16.37
res2net50_26w_4s,2757.69,371.313,1024,224,4.28,12.61,25.7
seresnext50_32x4d,2741.98,373.44,1024,224,4.26,14.42,27.56
gluon_seresnext50_32x4d,2737.7,374.024,1024,224,4.26,14.42,27.56
legacy_seresnext50_32x4d,2737.27,374.083,1024,224,4.26,14.42,27.56
xcit_tiny_24_p16_224_dist,2733.14,374.648,1024,224,2.34,11.82,12.12
xcit_tiny_24_p16_224,2731.46,374.879,1024,224,2.34,11.82,12.12
xcit_nano_12_p16_384_dist,2727.34,375.445,1024,384,1.64,12.15,3.05
dla60x,2724.01,375.903,1024,224,3.54,13.8,17.35
gcresnet50t,2718.77,376.628,1024,256,5.42,14.67,25.9
vgg11_bn,2701.91,189.486,512,224,7.62,7.44,132.87
visformer_small,2695.9,379.825,1024,224,4.88,11.43,40.22
lambda_resnet26rpt_256,2689.85,380.679,1024,256,3.16,11.87,10.99
mixnet_l,2682.98,286.237,768,224,0.58,10.84,7.33
resnetblur50,2682.32,381.746,1024,224,5.16,12.02,25.56
vovnet57a,2674.97,382.797,1024,224,8.95,7.52,36.64
efficientnet_lite3,2659.04,192.54,512,300,1.65,21.85,8.2
cspresnet50d,2649.78,386.434,1024,256,4.86,12.55,21.64
seresnetaa50d,2644.86,387.154,1024,224,5.4,12.46,28.11
efficientnetv2_rw_t,2633.28,388.856,1024,288,3.19,16.42,13.65
cspresnet50w,2624.25,390.195,1024,256,5.04,12.19,28.12
twins_svt_small,2599.22,393.951,1024,224,2.94,13.75,24.06
tf_efficientnetv2_b3,2587.08,395.8,1024,300,3.04,15.74,14.36
nf_regnet_b2,2583.08,396.413,1024,272,1.22,9.27,14.31
vit_base_resnet26d_224,2575.01,397.656,1024,224,6.97,13.16,101.4
ese_vovnet57b,2572.63,398.024,1024,224,8.95,7.52,38.61
fbnetv3_g,2570.51,398.353,1024,288,1.77,21.09,16.62
gc_efficientnetv2_rw_t,2557.73,400.342,1024,288,3.2,16.45,13.68
tf_mixnet_l,2550.98,301.047,768,224,0.58,10.84,7.33
nf_regnet_b1,2527.71,405.098,1024,288,1.02,9.2,10.22
res2net50_14w_8s,2514.56,407.217,1024,224,4.21,13.28,25.06
inception_v3,2512.32,407.579,1024,299,5.73,8.97,23.83
densenetblur121d,2509.93,407.967,1024,224,3.11,7.9,8.0
adv_inception_v3,2509.35,408.057,1024,299,5.73,8.97,23.83
tf_inception_v3,2505.31,408.714,1024,299,5.73,8.97,23.83
gluon_inception_v3,2501.93,409.271,1024,299,5.73,8.97,23.83
resnetblur50d,2498.32,409.863,1024,224,5.4,12.82,25.58
nf_ecaresnet50,2492.25,410.862,1024,224,4.21,11.13,25.56
nf_seresnet50,2488.35,411.506,1024,224,4.21,11.13,28.09
resmlp_24_224,2465.19,415.371,1024,224,5.96,10.91,30.02
resmlp_24_distilled_224,2463.93,415.584,1024,224,5.96,10.91,30.02
mobilevit_s,2450.02,313.456,768,256,2.03,19.94,5.58
regnetx_032,2449.76,417.988,1024,224,3.2,11.37,15.3
cspresnext50,2440.84,419.515,1024,256,4.05,15.86,20.57
dla60_res2net,2430.52,421.296,1024,224,4.15,12.34,20.85
resnest14d,2424.63,422.32,1024,224,2.76,7.33,10.61
densenet169,2421.68,422.835,1024,224,3.4,7.3,14.15
convnext_tiny_hnfd,2418.1,423.46,1024,224,4.47,13.44,28.59
convnext_tiny_hnf,2414.45,424.101,1024,224,4.47,13.44,28.59
tf_efficientnet_lite3,2396.12,213.668,512,300,1.65,21.85,8.2
sehalonet33ts,2392.73,427.951,1024,256,3.55,14.7,13.69
efficientnet_cc_b0_4e,2389.83,428.47,1024,224,0.41,9.42,13.31
efficientnet_cc_b0_8e,2386.88,429.0,1024,224,0.42,9.42,24.01
convnext_tiny_in22ft1k,2380.94,430.068,1024,224,4.47,13.44,28.59
convnext_tiny,2379.5,430.329,1024,224,4.47,13.44,28.59
regnetz_b16,2348.93,435.929,1024,288,2.39,16.43,9.72
resnetv2_101,2321.74,441.036,1024,224,7.83,16.23,44.54
convnext_nano,2304.31,444.37,1024,288,4.06,13.84,15.59
tf_efficientnet_cc_b0_4e,2293.39,446.488,1024,224,0.41,9.42,13.31
semobilevit_s,2279.96,336.836,768,256,2.03,19.95,5.74
gluon_resnet101_v1b,2249.95,455.108,1024,224,7.83,16.23,44.55
tv_resnet101,2246.24,455.861,1024,224,7.83,16.23,44.55
resnet101,2246.09,455.891,1024,224,7.83,16.23,44.55
mobilevitv2_125,2233.52,343.842,768,256,2.86,20.1,7.48
skresnet50,2232.97,458.569,1024,224,4.11,12.5,25.8
ecaresnet26t,2203.93,464.611,1024,320,5.24,16.44,16.01
resnetv2_101d,2180.36,469.635,1024,224,8.07,17.04,44.56
gluon_resnet101_v1c,2174.26,470.952,1024,224,8.08,17.04,44.57
twins_pcpvt_small,2160.75,473.897,1024,224,3.83,18.08,24.11
xcit_small_12_p16_224_dist,2141.07,478.253,1024,224,4.82,12.58,26.25
xcit_small_12_p16_224,2140.23,478.441,1024,224,4.82,12.58,26.25
cs3darknet_focus_x,2138.85,478.75,1024,256,8.03,10.69,35.02
edgenext_small,2120.03,482.998,1024,320,1.97,14.16,5.59
gluon_resnet101_v1d,2116.52,483.8,1024,224,8.08,17.04,44.57
tf_efficientnet_cc_b0_8e,2114.86,484.181,1024,224,0.42,9.42,24.01
vgg13,2106.04,486.207,1024,224,11.31,12.25,133.05
skresnet50d,2104.19,486.637,1024,224,4.36,13.31,25.82
xcit_nano_12_p8_224_dist,2091.47,489.594,1024,224,2.16,15.71,3.05
xcit_nano_12_p8_224,2088.8,490.222,1024,224,2.16,15.71,3.05
sebotnet33ts_256,2061.15,248.392,512,256,3.89,17.46,13.7
efficientnet_b0_gn,2058.74,373.032,768,224,0.42,6.75,5.29
wide_resnet50_2,2057.11,497.774,1024,224,11.43,14.4,68.88
dla102,2034.05,503.416,1024,224,7.19,14.18,33.27
vit_base_resnet50d_224,2032.15,503.887,1024,224,8.73,16.92,110.97
resnet51q,2003.15,511.181,1024,288,8.07,20.94,35.7
legacy_seresnet101,1997.44,512.643,1024,224,7.61,15.74,49.33
regnetx_040,1987.99,515.08,1024,224,3.99,12.2,22.12
gmlp_s16_224,1983.97,516.124,1024,224,4.42,15.1,19.42
res2net50_26w_6s,1970.9,519.546,1024,224,6.33,15.28,37.05
resnetaa101d,1964.05,521.361,1024,224,9.12,17.56,44.57
gluon_resnet101_v1s,1954.76,523.835,1024,224,9.19,18.64,44.67
seresnet101,1951.77,524.639,1024,224,7.84,16.27,49.33
repvgg_b1,1949.45,525.265,1024,224,13.16,10.64,57.42
crossvit_small_240,1948.12,525.623,1024,240,5.63,18.17,26.86
cs3sedarknet_xdw,1942.13,527.244,1024,256,5.97,17.18,21.6
resnetaa50,1934.76,529.254,1024,288,8.52,19.24,25.56
swin_tiny_patch4_window7_224,1924.88,531.966,1024,224,4.51,17.06,28.29
resnext101_32x4d,1924.17,532.166,1024,224,8.01,21.23,44.18
ssl_resnext101_32x4d,1923.99,532.215,1024,224,8.01,21.23,44.18
poolformer_s24,1923.48,532.355,1024,224,3.41,10.68,21.39
gluon_resnext101_32x4d,1922.64,532.587,1024,224,8.01,21.23,44.18
swsl_resnext101_32x4d,1922.44,532.644,1024,224,8.01,21.23,44.18
vit_relpos_medium_patch16_cls_224,1918.8,533.655,1024,224,8.03,18.24,38.76
vit_relpos_medium_patch16_rpn_224,1917.82,533.927,1024,224,7.97,17.02,38.73
vit_relpos_medium_patch16_224,1911.97,535.56,1024,224,7.97,17.02,38.75
vit_srelpos_medium_patch16_224,1908.42,536.559,1024,224,7.96,16.21,38.74
resnest50d_1s4x24d,1891.51,541.355,1024,224,4.43,13.57,25.68
darknet53,1883.2,407.805,768,288,11.78,15.68,41.61
gmixer_24_224,1881.95,544.104,1024,224,5.28,14.45,24.72
darknetaa53,1875.8,409.414,768,288,10.08,15.68,36.02
densenet201,1868.67,547.971,1024,224,4.34,7.85,20.01
halonet50ts,1867.02,548.456,1024,256,5.3,19.2,22.73
mobilevitv2_150,1865.71,274.416,512,256,4.09,24.11,10.59
mobilevitv2_150_in22ft1k,1864.94,274.529,512,256,4.09,24.11,10.59
tf_efficientnet_b3_ns,1862.24,274.927,512,300,1.87,23.83,12.23
tf_efficientnet_b3,1861.19,275.081,512,300,1.87,23.83,12.23
tf_efficientnet_b3_ap,1860.71,275.153,512,300,1.87,23.83,12.23
nf_resnet101,1854.11,552.273,1024,224,8.01,16.23,44.55
dla102x,1853.94,552.322,1024,224,5.89,19.42,26.31
ecaresnet101d,1853.67,552.405,1024,224,8.08,17.07,44.57
vgg13_bn,1850.18,276.718,512,224,11.33,12.25,133.05
cspdarknet53,1837.13,418.032,768,256,6.57,16.81,27.64
efficientnet_b3a,1829.01,279.921,512,320,2.01,26.52,12.23
efficientnet_b3,1828.85,279.946,512,320,2.01,26.52,12.23
mixnet_xl,1821.62,281.057,512,224,0.93,14.57,11.9
resnet61q,1810.56,565.559,1024,288,9.87,21.52,36.85
vit_small_r26_s32_224,1806.33,566.883,1024,224,3.56,9.85,36.43
xcit_tiny_12_p16_384_dist,1805.03,567.29,1024,384,3.64,18.26,6.72
edgenext_small_rw,1803.36,567.813,1024,320,2.46,14.85,7.83
crossvit_15_240,1792.63,571.217,1024,240,5.81,19.77,27.53
resnest26d,1781.59,574.753,1024,224,3.64,9.97,17.07
nf_resnet50,1773.35,577.425,1024,288,6.88,18.37,25.56
hrnet_w18,1766.17,579.773,1024,224,4.32,16.31,21.3
crossvit_15_dagger_240,1755.64,583.25,1024,240,6.13,20.43,28.21
swin_s3_tiny_224,1746.31,586.364,1024,224,4.64,19.13,28.33
resnetblur101d,1744.07,587.12,1024,224,9.12,17.94,44.57
res2net101_26w_4s,1715.56,596.875,1024,224,8.1,18.45,45.21
cait_xxs24_224,1707.34,599.75,1024,224,2.53,20.29,11.96
nf_regnet_b3,1702.33,601.516,1024,320,2.05,14.61,18.59
seresnext101_32x4d,1701.46,601.825,1024,224,8.02,21.26,48.96
gluon_seresnext101_32x4d,1701.17,601.927,1024,224,8.02,21.26,48.96
legacy_seresnext101_32x4d,1697.89,603.09,1024,224,8.02,21.26,48.96
resnetv2_50d_frn,1691.2,605.475,1024,224,4.33,11.92,25.59
vgg16,1690.51,605.724,1024,224,15.47,13.56,138.36
repvgg_b1g4,1670.27,613.064,1024,224,8.15,10.64,39.97
res2net50_26w_8s,1662.2,616.038,1024,224,8.37,17.95,48.4
resmlp_36_224,1656.29,618.237,1024,224,8.91,16.33,44.69
resmlp_36_distilled_224,1655.44,618.553,1024,224,8.91,16.33,44.69
regnetz_c16,1654.15,309.514,512,320,3.92,25.88,13.46
sequencer2d_s,1646.91,621.756,1024,224,4.96,11.31,27.65
efficientnet_b0_g8_gn,1636.03,469.418,768,224,0.66,6.75,6.56
botnet50ts_256,1633.5,313.424,512,256,5.54,22.23,22.74
vit_large_patch32_224,1629.91,628.244,1024,224,15.39,13.3,306.54
ese_vovnet39b_evos,1627.7,629.096,1024,224,7.07,6.74,24.58
cs3darknet_x,1627.54,629.156,1024,288,10.6,14.36,35.05
resnetv2_50d_evob,1620.95,631.713,1024,224,4.33,11.92,25.59
efficientnet_cc_b1_8e,1619.01,632.471,1024,240,0.75,15.44,39.72
resnetv2_152,1614.21,634.351,1024,224,11.55,22.56,60.19
xception41p,1587.33,322.543,512,299,9.25,39.86,26.91
regnetx_064,1586.15,484.18,768,224,6.49,16.37,26.21
coat_lite_small,1583.04,646.84,1024,224,3.96,22.09,19.84
swinv2_cr_tiny_224,1581.48,647.481,1024,224,4.66,28.45,28.33
xception,1578.2,486.619,768,299,8.4,35.83,22.86
gluon_resnet152_v1b,1573.68,650.689,1024,224,11.56,22.56,60.19
tv_resnet152,1573.22,650.883,1024,224,11.56,22.56,60.19
resnetv2_50x1_bit_distilled,1572.94,650.997,1024,224,4.23,11.11,25.55
resnet152,1571.71,651.505,1024,224,11.56,22.56,60.19
tf_efficientnet_cc_b1_8e,1564.9,654.344,1024,240,0.75,15.44,39.72
halo2botnet50ts_256,1559.2,656.732,1024,256,5.02,21.78,22.64
mixer_l32_224,1558.59,656.992,1024,224,11.27,19.86,206.94
vit_tiny_patch16_384,1557.53,657.441,1024,384,4.7,25.39,5.79
mobilevitv2_175,1554.07,329.447,512,256,5.54,28.13,14.25
swinv2_cr_tiny_ns_224,1551.84,659.847,1024,224,4.66,28.45,28.33
mobilevitv2_175_in22ft1k,1551.58,329.973,512,256,5.54,28.13,14.25
vit_base_patch32_384,1550.87,660.263,1024,384,13.06,16.5,88.3
cs3sedarknet_x,1549.02,661.048,1024,288,10.6,14.37,35.4
resnetv2_152d,1545.41,662.596,1024,224,11.8,23.36,60.2
nf_ecaresnet101,1540.66,664.639,1024,224,8.01,16.27,44.55
nf_seresnet101,1538.7,665.483,1024,224,8.02,16.27,49.33
gluon_resnet152_v1c,1536.27,666.538,1024,224,11.8,23.36,60.21
efficientnet_el,1524.59,335.818,512,300,8.0,30.7,10.59
efficientnet_el_pruned,1523.29,336.105,512,300,8.0,30.7,10.59
gluon_resnet152_v1d,1508.62,678.753,1024,224,11.8,23.36,60.21
vgg16_bn,1504.44,340.315,512,224,15.5,13.56,138.37
twins_pcpvt_base,1494.56,685.139,1024,224,6.68,25.25,43.83
tf_efficientnet_el,1481.51,345.582,512,300,8.0,30.7,10.59
cs3edgenet_x,1479.52,692.101,1024,288,14.59,16.36,47.82
vit_base_r26_s32_224,1479.31,692.202,1024,224,6.81,12.36,101.38
skresnext50_32x4d,1465.64,698.657,1024,224,4.5,17.18,27.48
convnext_small,1452.43,705.012,1024,224,8.71,21.56,50.22
convnext_small_in22ft1k,1450.42,705.987,1024,224,8.71,21.56,50.22
hrnet_w32,1444.27,708.991,1024,224,8.97,22.02,41.23
ese_vovnet99b,1442.7,709.767,1024,224,16.51,11.27,63.2
mixer_b16_224,1424.87,718.648,1024,224,12.62,14.53,59.88
gluon_resnet152_v1s,1424.84,718.665,1024,224,12.92,24.96,60.32
ecaresnet50t,1422.0,720.1,1024,320,8.82,24.13,25.57
mixer_b16_224_miil,1421.45,720.381,1024,224,12.62,14.53,59.88
vgg19,1411.57,725.42,1024,224,19.63,14.86,143.67
regnety_032,1398.62,732.137,1024,288,5.29,18.61,19.44
convit_small,1398.4,732.254,1024,224,5.76,17.87,27.78
nest_tiny,1387.46,553.516,768,224,5.83,25.48,17.06
legacy_seresnet152,1382.46,740.694,1024,224,11.33,22.08,66.82
dla169,1382.4,740.729,1024,224,11.6,20.2,53.39
xcit_tiny_12_p8_224,1374.74,744.858,1024,224,4.81,23.6,6.71
xcit_tiny_12_p8_224_dist,1374.04,745.236,1024,224,4.81,23.6,6.71
densenet161,1366.11,749.563,1024,224,7.79,11.06,28.68
jx_nest_tiny,1362.5,563.656,768,224,5.83,25.48,17.06
seresnet152,1361.36,752.174,1024,224,11.57,22.61,66.82
mobilevitv2_200_in22ft1k,1354.63,283.461,384,256,7.22,32.15,18.45
mobilevitv2_200,1354.25,283.54,384,256,7.22,32.15,18.45
xception41,1347.67,379.903,512,299,9.28,39.86,26.97
inception_v4,1323.37,773.767,1024,299,12.28,15.09,42.68
twins_svt_base,1316.07,778.059,1024,224,8.59,26.33,56.07
vit_small_resnet50d_s16_224,1305.38,784.435,1024,224,13.48,24.82,57.53
dpn92,1303.44,785.601,1024,224,6.54,18.21,37.67
tresnet_m,1297.91,788.947,1024,224,5.74,7.31,31.39
poolformer_s36,1296.72,789.674,1024,224,5.0,15.82,30.86
sequencer2d_m,1285.21,796.745,1024,224,6.55,14.26,38.31
crossvit_18_240,1273.5,804.072,1024,240,9.05,26.26,43.27
regnetx_080,1271.94,805.056,1024,224,8.02,14.06,39.57
dla102x2,1271.93,402.524,512,224,9.34,29.91,41.28
vgg19_bn,1265.83,404.467,512,224,19.66,14.86,143.68
efficientnet_lite4,1263.67,303.867,384,380,4.04,45.66,13.01
crossvit_18_dagger_240,1245.15,822.375,1024,240,9.5,27.03,44.27
res2next50,1241.53,824.775,1024,224,4.2,13.71,24.67
volo_d1_224,1235.2,829.0,1024,224,6.94,24.43,26.63
efficientnetv2_s,1221.73,838.141,1024,384,8.44,35.77,21.46
resnest50d,1214.35,843.233,1024,224,5.4,14.36,27.48
tf_efficientnetv2_s_in21ft1k,1191.03,859.741,1024,384,8.44,35.77,21.46
tf_efficientnetv2_s,1191.03,859.748,1024,384,8.44,35.77,21.46
dpn98,1188.11,861.858,1024,224,11.73,25.2,61.57
mixnet_xxl,1187.83,323.267,384,224,2.04,23.43,23.96
swin_small_patch4_window7_224,1183.48,865.227,1024,224,8.77,27.47,49.61
regnetz_d8,1180.44,867.458,1024,320,6.19,37.08,23.37
hrnet_w30,1180.28,867.576,1024,224,8.15,21.21,37.71
gluon_resnext101_64x4d,1176.11,870.653,1024,224,15.52,31.21,83.46
efficientnetv2_rw_s,1166.72,877.658,1024,384,8.72,38.03,23.94
tf_efficientnet_lite4,1164.88,329.636,384,380,4.04,45.66,13.01
swinv2_tiny_window8_256,1158.39,883.971,1024,256,5.96,24.57,28.35
wide_resnet101_2,1155.6,886.11,1024,224,22.8,21.23,126.89
repvgg_b2,1154.84,886.691,1024,224,20.45,12.9,89.02
vit_base_patch16_224_miil,1153.59,887.648,1024,224,17.58,23.9,86.54
resnet50_gn,1150.43,890.083,1024,224,4.14,11.11,25.56
resnet200,1149.46,890.84,1024,224,15.07,32.19,64.67
cait_xxs36_224,1148.13,891.873,1024,224,3.77,30.34,17.3
xception65p,1140.81,448.791,512,299,13.91,52.48,39.82
regnetz_040,1140.64,336.641,384,320,6.35,37.78,27.12
xcit_small_24_p16_224_dist,1137.7,900.049,1024,224,9.1,23.64,47.67
xcit_small_24_p16_224,1136.58,900.934,1024,224,9.1,23.64,47.67
regnetz_040h,1135.68,338.111,384,320,6.43,37.94,28.94
deit_base_patch16_224,1133.84,903.113,1024,224,17.58,23.9,86.57
vit_base_patch16_224,1133.45,903.419,1024,224,17.58,23.9,86.57
vit_base_patch16_224_sam,1132.11,904.493,1024,224,17.58,23.9,86.57
regnetz_d32,1128.13,907.679,1024,320,9.33,37.08,27.58
dla60_res2next,1127.83,907.922,1024,224,3.49,13.17,17.03
eca_nfnet_l0,1126.64,908.88,1024,288,7.12,17.29,24.14
resnetrs101,1123.2,911.667,1024,288,13.56,28.53,63.62
nfnet_l0,1123.1,911.747,1024,288,7.13,17.29,35.07
cs3se_edgenet_x,1120.46,913.898,1024,320,18.01,20.21,50.72
deit_base_distilled_patch16_224,1119.36,914.798,1024,224,17.68,24.05,87.34
vit_base_patch16_rpn_224,1111.53,921.235,1024,224,17.49,23.75,86.54
inception_resnet_v2,1108.79,923.511,1024,299,13.18,25.06,55.84
ens_adv_inception_resnet_v2,1107.31,924.747,1024,299,13.18,25.06,55.84
deit3_base_patch16_224,1093.88,936.101,1024,224,17.58,23.9,86.59
deit3_base_patch16_224_in21ft1k,1092.45,937.33,1024,224,17.58,23.9,86.59
gluon_seresnext101_64x4d,1088.94,940.353,1024,224,15.53,31.25,88.23
vit_relpos_base_patch16_clsgap_224,1081.95,946.422,1024,224,17.6,25.12,86.43
vit_relpos_base_patch16_cls_224,1081.77,946.586,1024,224,17.6,25.12,86.43
vit_relpos_base_patch16_rpn_224,1080.35,947.826,1024,224,17.51,24.97,86.41
vit_relpos_base_patch16_224,1079.52,948.56,1024,224,17.51,24.97,86.43
tnt_s_patch16_224,1078.48,949.47,1024,224,5.24,24.37,23.76
twins_pcpvt_large,1066.87,959.801,1024,224,9.84,35.82,60.99
ssl_resnext101_32x8d,1054.92,970.677,1024,224,16.48,31.21,88.79
resnext101_32x8d,1054.71,970.869,1024,224,16.48,31.21,88.79
ig_resnext101_32x8d,1054.19,971.349,1024,224,16.48,31.21,88.79
swsl_resnext101_32x8d,1053.69,971.812,1024,224,16.48,31.21,88.79
beit_base_patch16_224,1049.2,975.962,1024,224,17.58,23.9,86.53
resnest50d_4s2x40d,1042.05,982.666,1024,224,4.4,17.94,30.42
coat_tiny,1040.04,984.566,1024,224,4.35,27.2,5.5
resnet101d,1029.19,994.942,1024,320,16.48,34.77,44.57
convnext_base,1012.72,1011.124,1024,224,15.38,28.75,88.59
convnext_base_in22ft1k,1011.75,1012.088,1024,224,15.38,28.75,88.59
efficientnet_b4,993.87,386.356,384,384,4.51,50.04,19.34
pit_b_224,992.43,515.895,512,224,12.42,32.94,73.76
pit_b_distilled_224,988.79,517.791,512,224,12.5,33.07,74.79
gluon_xception65,981.26,521.764,512,299,13.96,52.48,39.92
xception65,975.37,524.918,512,299,13.96,52.48,39.92
vit_small_patch16_36x1_224,973.92,1051.404,1024,224,13.71,35.69,64.67
repvgg_b3,972.06,1053.416,1024,224,29.16,15.1,123.09
repvgg_b2g4,969.39,1056.316,1024,224,12.63,12.9,61.76
xcit_tiny_24_p16_384_dist,969.37,1056.345,1024,384,6.87,34.29,12.12
swinv2_cr_small_224,967.97,1057.869,1024,224,9.07,50.27,49.7
swinv2_cr_small_ns_224,957.86,1069.034,1024,224,9.08,50.27,49.7
vit_small_patch16_18x2_224,951.03,1076.715,1024,224,13.71,35.69,64.67
twins_svt_large,923.66,1108.616,1024,224,15.15,35.1,99.27
tf_efficientnet_b4,922.69,416.164,384,380,4.49,49.49,19.34
tf_efficientnet_b4_ap,922.5,416.247,384,380,4.49,49.49,19.34
tf_efficientnet_b4_ns,922.41,416.289,384,380,4.49,49.49,19.34
hrnet_w40,910.46,1124.691,1024,224,12.75,25.29,57.56
regnetz_b16_evos,903.54,849.98,768,288,2.36,16.43,9.74
cait_s24_224,902.24,1134.941,1024,224,9.35,40.58,46.92
nfnet_f0,901.6,1135.748,1024,256,12.62,18.05,71.49
nf_regnet_b4,900.78,1136.78,1024,384,4.7,28.61,30.21
poolformer_m36,896.53,1142.174,1024,224,8.8,22.02,56.17
nest_small,884.77,868.006,768,224,10.35,40.04,38.35
hrnet_w48,875.56,1169.527,1024,224,17.34,28.56,77.47
jx_nest_small,874.29,878.41,768,224,10.35,40.04,38.35
dpn131,866.66,1181.531,1024,224,16.09,32.97,79.25
swin_s3_small_224,854.8,898.443,768,224,9.43,37.84,49.74
regnety_040,854.48,898.782,768,288,6.61,20.3,20.65
regnetv_040,854.18,899.093,768,288,6.6,20.3,20.64
regnety_080,846.16,605.071,512,288,13.22,29.69,39.18
resnetv2_50d_evos,844.23,1212.929,1024,288,7.15,19.7,25.59
coat_mini,836.76,1223.748,1024,224,6.82,33.68,10.34
swin_base_patch4_window7_224,836.19,1224.59,1024,224,15.47,36.63,87.77
repvgg_b3g4,835.5,1225.597,1024,224,17.89,15.1,83.83
sequencer2d_l,832.91,1229.407,1024,224,9.74,22.12,54.3
dm_nfnet_f0,831.16,1232.004,1024,256,12.62,18.05,71.49
mobilevitv2_150_384_in22ft1k,826.94,309.566,256,384,9.2,54.25,10.59
gmlp_b16_224,825.63,1240.256,1024,224,15.78,30.21,73.08
convnext_tiny_384_in22ft1k,814.55,628.553,512,384,13.14,39.48,28.59
xcit_medium_24_p16_224_dist,812.18,1260.787,1024,224,16.13,31.71,84.4
xcit_medium_24_p16_224,812.16,1260.822,1024,224,16.13,31.71,84.4
regnetx_120,810.53,631.674,512,224,12.13,21.37,46.11
xcit_small_12_p16_384_dist,800.29,1279.521,1024,384,14.14,36.51,26.25
densenet264,798.84,1281.845,1024,224,12.95,12.8,72.69
hrnet_w44,790.45,1295.441,1024,224,14.94,26.92,67.06
crossvit_base_240,787.5,975.226,768,240,21.22,36.33,105.03
regnety_120,783.87,653.154,512,224,12.14,21.38,51.82
swinv2_tiny_window16_256,765.77,668.599,512,256,6.68,39.02,28.35
resnetv2_50d_gn,751.14,1022.427,768,288,7.24,19.7,25.57
xception71,749.93,682.721,512,299,18.09,69.92,42.34
vit_large_r50_s32_224,739.74,1384.252,1024,224,19.58,24.41,328.99
vit_base_patch16_plus_240,737.95,1387.618,1024,240,27.41,33.08,117.56
dpn107,736.42,1390.497,1024,224,18.38,33.46,86.92
resnet152d,736.09,1391.121,1024,320,24.08,47.67,60.21
ecaresnet200d,730.76,1401.271,1024,256,20.0,43.15,64.69
seresnet200d,728.63,1405.363,1024,256,20.01,43.15,71.86
vit_relpos_base_patch16_plus_240,727.74,1407.074,1024,240,27.3,34.33,117.38
xcit_tiny_24_p8_224,725.69,1411.06,1024,224,9.21,45.39,12.11
xcit_tiny_24_p8_224_dist,725.66,1411.108,1024,224,9.21,45.39,12.11
hrnet_w64,719.99,1422.231,1024,224,28.97,35.09,128.06
regnety_040s_gn,719.08,1068.018,768,224,4.03,12.29,20.65
xcit_nano_12_p8_384_dist,713.49,1435.191,1024,384,6.34,46.08,3.05
swinv2_small_window8_256,712.51,1437.16,1024,256,11.58,40.14,49.73
convit_base,706.35,1449.693,1024,224,17.52,31.77,86.54
resnext101_64x4d,704.57,1090.007,768,288,25.66,51.59,83.46
swin_s3_base_224,695.14,1473.064,1024,224,13.69,48.26,71.13
vit_small_patch16_384,693.62,1107.217,768,384,15.52,50.78,22.2
tnt_b_patch16_224,691.83,1480.107,1024,224,14.09,39.01,65.41
swinv2_cr_base_224,689.84,1484.394,1024,224,15.86,59.66,87.88
regnety_064,684.37,748.122,512,288,10.56,27.11,30.58
swinv2_cr_base_ns_224,683.96,1497.137,1024,224,15.86,59.66,87.88
volo_d2_224,679.94,1506.002,1024,224,14.34,41.34,58.68
mobilevitv2_175_384_in22ft1k,679.77,376.586,256,384,12.47,63.29,14.25
regnetv_064,678.0,755.149,512,288,10.55,27.11,30.58
poolformer_m48,676.06,1514.652,1024,224,11.59,29.17,73.47
deit3_small_patch16_384,669.71,1146.752,768,384,15.52,50.78,22.21
deit3_small_patch16_384_in21ft1k,669.36,1147.345,768,384,15.52,50.78,22.21
legacy_senet154,660.41,1550.529,1024,224,20.77,38.69,115.09
senet154,659.33,1553.081,1024,224,20.77,38.69,115.09
gluon_senet154,659.08,1553.657,1024,224,20.77,38.69,115.09
regnetx_160,650.99,786.486,512,224,15.99,25.52,54.28
resnetrs152,646.22,1584.595,1024,320,24.34,48.14,86.62
seresnet152d,642.19,1594.525,1024,320,24.09,47.72,66.84
regnetz_e8,633.28,1212.715,768,320,15.46,63.94,57.7
tresnet_l,630.57,1623.908,1024,224,10.88,11.9,55.99
nest_base,629.43,813.42,512,224,17.96,53.39,67.72
ese_vovnet99b_iabn,628.09,1630.325,1024,224,16.49,11.27,63.2
jx_nest_base,622.33,822.697,512,224,17.96,53.39,67.72
vit_small_r26_s32_384,613.78,834.168,512,384,10.43,29.85,36.47
vit_base_r50_s16_224,610.7,1676.739,1024,224,21.66,35.29,98.66
xcit_small_12_p8_224,609.86,1679.054,1024,224,18.69,47.21,26.21
xcit_small_12_p8_224_dist,609.57,1679.853,1024,224,18.69,47.21,26.21
efficientnetv2_m,603.09,1697.911,1024,416,18.6,67.5,54.14
mobilevitv2_200_384_in22ft1k,594.06,323.186,192,384,16.24,72.34,18.45
seresnext101_32x8d,590.8,1299.927,768,288,27.24,51.63,93.57
resnest101e,588.3,1305.448,768,256,13.38,28.66,48.28
regnetz_c16_evos,588.05,870.656,512,320,3.86,25.88,13.49
convmixer_768_32,578.91,1768.818,1024,224,19.55,25.95,21.11
seresnext101d_32x8d,575.36,1334.812,768,288,27.64,52.95,93.59
seresnet269d,570.63,1794.5,1024,256,26.59,53.6,113.67
convnext_large,561.47,1823.764,1024,224,34.4,43.13,197.77
convnext_large_in22ft1k,560.92,1825.557,1024,224,34.4,43.13,197.77
resnet200d,544.65,1880.08,1024,320,31.25,67.33,64.69
efficientnetv2_rw_m,534.87,1435.852,768,416,21.49,79.62,53.24
seresnextaa101d_32x8d,521.71,1472.057,768,288,28.51,56.44,93.59
vit_large_patch32_384,517.33,1979.373,1024,384,45.31,43.86,306.63
swinv2_base_window8_256,509.01,2011.746,1024,256,20.37,52.59,87.92
eca_nfnet_l1,497.06,2060.113,1024,320,14.92,34.42,41.41
convnext_small_384_in22ft1k,496.5,1031.206,512,384,25.58,63.37,50.22
mixer_l16_224,495.85,2065.122,1024,224,44.6,41.69,208.2
efficientnet_b5,493.19,519.054,256,456,10.46,98.86,30.39
halonet_h1,492.19,520.115,256,256,3.0,51.17,8.1
regnety_320,483.53,1058.87,512,224,32.34,30.26,145.05
swin_large_patch4_window7_224,480.21,1599.271,768,224,34.53,54.94,196.53
swinv2_small_window16_256,477.23,1072.842,512,256,12.82,66.29,49.73
volo_d3_224,474.32,2158.852,1024,224,20.78,60.09,86.33
resnetrs200,471.22,2173.072,1024,320,31.51,67.81,93.21
tf_efficientnet_b5_ns,469.35,545.419,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ap,469.08,545.738,256,456,10.46,98.86,30.39
tf_efficientnet_b5,468.97,545.864,256,456,10.46,98.86,30.39
xcit_tiny_12_p8_384_dist,468.35,2186.374,1024,384,14.13,69.14,6.71
tresnet_xl,466.16,2196.648,1024,224,15.17,15.34,78.44
efficientnet_b3_gn,464.67,550.914,256,320,2.14,28.83,11.73
xcit_large_24_p16_224_dist,454.83,2251.393,1024,224,35.86,47.27,189.1
xcit_large_24_p16_224,454.8,2251.543,1024,224,35.86,47.27,189.1
tf_efficientnetv2_m_in21ft1k,444.81,1726.544,768,480,24.76,89.84,54.14
tf_efficientnetv2_m,444.79,1726.633,768,480,24.76,89.84,54.14
xcit_small_24_p16_384_dist,426.37,2401.669,1024,384,26.72,68.58,47.67
regnety_160,422.88,908.045,384,288,26.37,38.07,83.59
nf_regnet_b5,413.3,1238.797,512,456,11.7,61.95,49.74
swinv2_cr_tiny_384,408.94,625.992,256,384,15.34,161.01,28.33
swinv2_cr_large_224,406.2,1890.673,768,224,35.1,78.42,196.68
resnetv2_50x1_bitm,400.73,958.233,384,448,16.62,44.46,25.55
regnetz_d8_evos,392.85,1954.947,768,320,7.03,38.92,23.46
convmixer_1024_20_ks9_p14,390.62,2621.469,1024,224,5.55,5.51,24.38
efficientnet_b3_g8_gn,373.24,685.874,256,320,3.2,28.83,14.25
vit_large_patch16_224,370.72,2762.206,1024,224,61.6,63.52,304.33
convnext_xlarge_in22ft1k,368.8,1388.275,512,224,60.98,57.5,350.2
crossvit_15_dagger_408,368.65,694.421,256,408,21.45,95.05,28.5
vit_base_patch16_18x2_224,361.92,2829.305,1024,224,52.51,71.38,256.73
deit3_large_patch16_224_in21ft1k,358.3,2857.929,1024,224,61.6,63.52,304.37
deit3_large_patch16_224,357.82,2861.791,1024,224,61.6,63.52,304.37
swinv2_base_window16_256,346.22,1109.109,384,256,22.02,84.71,87.92
swinv2_base_window12to16_192to256_22kft1k,345.97,1109.898,384,256,22.02,84.71,87.92
nasnetalarge,345.75,1110.628,384,331,23.89,90.56,88.75
convnext_base_384_in22ft1k,345.74,1110.63,384,384,45.21,84.49,88.59
beit_large_patch16_224,343.01,2985.299,1024,224,61.6,63.52,304.43
ssl_resnext101_32x16d,338.92,1510.65,512,224,36.27,51.18,194.03
ig_resnext101_32x16d,338.75,1511.419,512,224,36.27,51.18,194.03
swsl_resnext101_32x16d,338.52,1512.441,512,224,36.27,51.18,194.03
tresnet_m_448,325.14,3149.347,1024,448,22.94,29.21,31.39
pnasnet5large,323.98,1185.25,384,331,25.04,92.89,86.06
regnetx_320,320.95,1196.437,384,224,31.81,36.3,107.81
xcit_small_24_p8_224,319.26,3207.434,1024,224,35.81,90.78,47.63
xcit_small_24_p8_224_dist,319.16,3208.44,1024,224,35.81,90.78,47.63
volo_d1_384,315.83,1621.098,512,384,22.75,108.55,26.78
nfnet_f1,306.71,3338.679,1024,320,35.97,46.77,132.63
ecaresnet269d,304.87,3358.754,1024,352,50.25,101.25,102.09
volo_d4_224,303.38,3375.331,1024,224,44.34,80.22,192.96
xcit_medium_24_p16_384_dist,297.67,2580.013,768,384,47.39,91.64,84.4
resnetrs270,296.93,3448.599,1024,352,51.13,105.48,129.86
resnetv2_152x2_bit_teacher,290.64,2642.472,768,224,46.95,45.11,236.34
vit_base_patch16_384,289.22,1327.696,384,384,55.54,101.56,86.86
deit_base_patch16_384,289.04,1328.502,384,384,55.54,101.56,86.86
deit_base_distilled_patch16_384,285.12,1346.806,384,384,55.65,101.82,87.63
dm_nfnet_f1,282.58,3623.721,1024,320,35.97,46.77,132.63
deit3_base_patch16_384,281.04,1366.341,384,384,55.54,101.56,86.88
deit3_base_patch16_384_in21ft1k,280.92,1366.918,384,384,55.54,101.56,86.88
efficientnet_b6,279.71,457.611,128,528,19.4,167.39,43.04
cait_xxs24_384,275.0,3723.573,1024,384,9.63,122.66,12.03
vit_large_patch14_224,271.58,3770.566,1024,224,81.08,88.79,304.2
crossvit_18_dagger_408,269.56,712.259,192,408,32.47,124.87,44.61
tf_efficientnet_b6_ap,267.5,478.495,128,528,19.4,167.39,43.04
tf_efficientnet_b6,267.48,478.534,128,528,19.4,167.39,43.04
tf_efficientnet_b6_ns,267.38,478.715,128,528,19.4,167.39,43.04
efficientnetv2_l,254.55,2011.402,512,480,56.4,157.99,118.52
resnetv2_101x1_bitm,252.46,1521.025,384,448,31.65,64.93,44.54
tf_efficientnetv2_l,251.41,2036.496,512,480,56.4,157.99,118.52
tf_efficientnetv2_l_in21ft1k,251.09,2039.122,512,480,56.4,157.99,118.52
swinv2_cr_small_384,250.5,1021.951,256,384,29.7,298.03,49.7
beit_base_patch16_384,248.36,1546.143,384,384,55.54,101.56,86.74
xcit_tiny_24_p8_384_dist,246.6,4152.437,1024,384,27.05,132.95,12.11
vit_large_r50_s32_384,246.12,2080.308,512,384,57.43,76.52,329.09
eca_nfnet_l2,237.09,3239.214,768,384,30.05,68.28,56.72
resmlp_big_24_224,228.25,4486.35,1024,224,100.23,87.31,129.14
resmlp_big_24_224_in22ft1k,227.96,4491.908,1024,224,100.23,87.31,129.14
resmlp_big_24_distilled_224,227.94,4492.471,1024,224,100.23,87.31,129.14
xcit_medium_24_p8_224_dist,222.27,3455.29,768,224,63.53,121.23,84.32
xcit_medium_24_p8_224,222.27,3455.239,768,224,63.53,121.23,84.32
swin_base_patch4_window12_384,221.01,868.732,192,384,47.19,134.78,87.9
swinv2_large_window12to16_192to256_22kft1k,212.32,1205.699,256,256,47.81,121.53,196.74
xcit_small_12_p8_384_dist,207.32,1852.22,384,384,54.92,138.29,26.21
resnest200e,201.89,2536.056,512,320,35.69,82.78,70.2
volo_d5_224,200.39,5110.009,1024,224,72.4,118.11,295.46
resnetrs350,194.78,3942.989,768,384,77.59,154.74,163.96
convnext_large_384_in22ft1k,191.43,1337.313,256,384,101.1,126.74,197.77
cait_xs24_384,190.0,4042.088,768,384,19.28,183.98,26.67
vit_base_patch8_224,188.23,1360.04,256,224,78.22,161.69,86.58
cait_xxs36_384,183.87,5569.221,1024,384,14.35,183.7,17.37
swinv2_cr_base_384,178.69,1432.608,256,384,50.57,333.68,87.88
vit_base_r50_s16_384,176.73,1448.509,256,384,67.43,135.03,98.95
vit_base_resnet50_384,176.72,1448.639,256,384,67.43,135.03,98.95
volo_d2_384,176.17,2179.696,384,384,46.17,184.51,58.87
swinv2_cr_huge_224,175.72,2185.293,384,224,115.97,121.08,657.83
nfnet_f2,172.68,5929.942,1024,352,63.22,79.06,193.78
xcit_large_24_p16_384_dist,168.33,3041.628,512,384,105.35,137.17,189.1
densenet264d_iabn,166.37,6155.083,1024,224,13.47,14.0,72.74
efficientnet_b7,161.46,594.574,96,600,38.33,289.94,66.35
efficientnetv2_xl,159.28,2410.894,384,512,93.85,247.32,208.12
dm_nfnet_f2,159.16,4825.445,768,352,63.22,79.06,193.78
tf_efficientnetv2_xl_in21ft1k,158.05,2429.572,384,512,93.85,247.32,208.12
tf_efficientnet_b7,155.86,615.938,96,600,38.33,289.94,66.35
tf_efficientnet_b7_ap,155.83,616.029,96,600,38.33,289.94,66.35
tf_efficientnet_b7_ns,155.78,616.248,96,600,38.33,289.94,66.35
tresnet_l_448,151.99,6737.079,1024,448,43.5,47.56,55.99
cait_s24_384,148.32,3451.871,512,384,32.17,245.31,47.06
vit_huge_patch14_224,146.38,6995.606,1024,224,167.4,139.41,632.05
ig_resnext101_32x32d,143.03,1789.868,256,224,87.29,91.12,468.53
resnetrs420,142.89,5374.778,768,416,108.45,213.79,191.89
deit3_huge_patch14_224,142.28,7197.12,1024,224,167.4,139.41,632.13
deit3_huge_patch14_224_in21ft1k,142.06,7208.264,1024,224,167.4,139.41,632.13
eca_nfnet_l3,132.47,3864.977,512,448,52.55,118.4,72.04
swin_large_patch4_window12_384,130.79,978.633,128,384,104.08,202.16,196.74
convnext_xlarge_384_in22ft1k,126.14,2029.4,256,384,179.2,168.99,350.2
xcit_large_24_p8_224,125.6,4076.305,512,224,141.23,181.56,188.93
xcit_large_24_p8_224_dist,125.51,4079.48,512,224,141.23,181.56,188.93
tresnet_xl_448,111.87,9153.659,1024,448,60.65,61.31,78.44
xcit_small_24_p8_384_dist,108.62,3535.115,384,384,105.24,265.91,47.63
swinv2_cr_large_384,108.25,1182.395,128,384,108.95,404.96,196.68
efficientnet_b8,101.79,943.075,96,672,63.48,442.89,87.41
resnetv2_50x3_bitm,101.1,1266.075,128,448,145.7,133.37,217.32
cait_s36_384,99.17,5162.791,512,384,47.99,367.4,68.37
tf_efficientnet_b8,98.82,971.416,96,672,63.48,442.89,87.41
tf_efficientnet_b8_ap,98.81,971.518,96,672,63.48,442.89,87.41
resnetv2_152x2_bit_teacher_384,98.49,2599.208,256,384,136.16,132.56,236.34
vit_large_patch16_384,97.65,2621.481,256,384,191.21,270.24,304.72
vit_giant_patch14_224,95.7,8025.142,768,224,267.18,192.64,1012.61
deit3_large_patch16_384,94.92,2697.101,256,384,191.21,270.24,304.76
deit3_large_patch16_384_in21ft1k,94.92,2697.083,256,384,191.21,270.24,304.76
swinv2_base_window12to24_192to384_22kft1k,94.52,677.087,64,384,55.25,280.36,87.92
nfnet_f3,93.84,8184.276,768,416,115.58,141.78,254.92
resnest269e,93.31,4115.183,384,416,77.69,171.98,110.93
dm_nfnet_f3,86.56,5914.801,512,416,115.58,141.78,254.92
beit_large_patch16_384,84.77,3019.757,256,384,191.21,270.24,305.0
volo_d3_448,76.33,2515.269,192,448,96.33,446.83,86.63
xcit_medium_24_p8_384_dist,75.97,3369.835,256,384,186.67,354.73,84.32
ig_resnext101_32x48d,74.47,2578.247,192,224,153.57,131.06,828.41
resnetv2_152x2_bitm,72.95,2631.902,192,448,184.99,180.43,236.34
tf_efficientnet_l2_ns_475,63.13,1013.713,64,475,172.11,609.89,480.31
resnetv2_101x3_bitm,60.06,2131.166,128,448,280.33,194.78,387.93
swinv2_large_window12to24_192to384_22kft1k,59.82,802.459,48,384,116.15,407.83,196.74
vit_gigantic_patch14_224,57.64,8883.342,512,224,483.95,275.37,1844.44
volo_d4_448,56.09,3423.322,192,448,197.13,527.35,193.41
convmixer_1536_20,53.95,18979.912,1024,224,48.68,33.03,51.63
swinv2_cr_giant_224,50.56,2531.46,128,224,483.85,309.15,2598.76
nfnet_f4,49.93,10254.329,512,512,216.26,262.26,316.07
swinv2_cr_huge_384,47.13,1357.909,64,384,352.04,583.18,657.94
dm_nfnet_f4,45.97,8353.673,384,512,216.26,262.26,316.07
xcit_large_24_p8_384_dist,42.84,4481.402,192,384,415.0,531.82,188.93
volo_d5_448,38.62,3314.317,128,448,315.06,737.92,295.91
nfnet_f5,37.03,10370.994,384,544,290.97,349.71,377.21
dm_nfnet_f5,33.93,11318.026,384,544,290.97,349.71,377.21
beit_large_patch16_512,33.87,2834.401,96,512,362.24,656.39,305.67
cait_m36_384,32.22,7945.944,256,384,173.11,734.81,271.22
nfnet_f6,28.33,13554.319,384,576,378.69,452.2,438.36
volo_d5_512,26.99,4742.789,128,512,425.09,1105.37,296.09
dm_nfnet_f6,26.14,9792.719,256,576,378.69,452.2,438.36
resnetv2_152x4_bitm,24.34,2629.892,64,480,844.84,414.26,936.53
efficientnet_l2,23.12,1037.889,24,800,479.12,1707.39,480.31
tf_efficientnet_l2_ns,22.7,1057.422,24,800,479.12,1707.39,480.31
nfnet_f7,22.34,11460.175,256,608,480.39,570.85,499.5
swinv2_cr_giant_384,14.63,2187.208,32,384,1450.71,1394.86,2598.76
cait_m48_448,13.64,9385.159,128,448,329.41,1708.23,356.46