model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count
tinynet_e,47972.76,21.335,1024,106,2.04
mobilenetv3_small_050,42473.43,24.099,1024,224,1.59
lcnet_035,39739.31,25.756,1024,224,1.64
lcnet_050,35211.0,29.071,1024,224,1.88
mobilenetv3_small_075,31410.3,32.589,1024,224,2.04
mobilenetv3_small_100,28111.39,36.416,1024,224,2.54
tf_mobilenetv3_small_minimal_100,27538.82,37.173,1024,224,2.04
tinynet_d,26670.17,38.384,1024,152,2.34
tf_mobilenetv3_small_075,26522.93,38.597,1024,224,2.04
tf_mobilenetv3_small_100,24036.65,42.591,1024,224,2.54
lcnet_075,22451.72,45.598,1024,224,2.36
levit_128s,19963.52,51.282,1024,224,7.78
mnasnet_small,19706.27,51.952,1024,224,2.03
lcnet_100,18132.59,56.461,1024,224,2.95
mobilenetv2_035,17586.23,58.217,1024,224,1.68
ghostnet_050,16726.5,61.209,1024,224,2.59
regnetx_002,16238.56,63.048,1024,224,2.68
regnety_002,15227.23,67.235,1024,224,3.16
mnasnet_050,15022.24,68.154,1024,224,2.22
tinynet_c,14089.9,72.665,1024,184,2.46
mobilenetv2_050,14032.51,72.961,1024,224,1.97
levit_128,13679.77,74.845,1024,224,9.21
semnasnet_050,13508.98,75.79,1024,224,2.08
vit_small_patch32_224,12109.88,84.548,1024,224,22.88
mixer_s32_224,11702.15,87.494,1024,224,19.1
levit_192,11695.39,87.545,1024,224,10.95
lcnet_150,11564.86,88.533,1024,224,4.5
mobilenetv3_large_075,11407.33,89.755,1024,224,3.99
gernet_s,10837.81,94.473,1024,224,8.17
vit_tiny_r_s16_p8_224,10598.14,96.609,1024,224,6.34
mobilenetv3_rw,10164.28,100.733,1024,224,5.48
tf_mobilenetv3_large_075,10125.76,101.117,1024,224,3.99
regnetx_004,10069.8,101.678,1024,224,5.16
mobilenetv3_large_100,10017.28,102.212,1024,224,5.48
mobilenetv3_large_100_miil,10014.68,102.238,1024,224,5.48
ese_vovnet19b_slim_dw,9944.69,102.957,1024,224,1.9
hardcorenas_a,9792.24,104.561,1024,224,5.26
mnasnet_075,9774.09,104.755,1024,224,3.17
tf_mobilenetv3_large_minimal_100,9771.38,104.784,1024,224,3.92
ghostnet_100,9041.17,113.248,1024,224,5.18
hardcorenas_b,9021.74,113.492,1024,224,5.18
tinynet_b,8976.69,114.061,1024,188,3.73
swsl_resnet18,8971.65,114.125,1024,224,11.69
tf_mobilenetv3_large_100,8954.66,114.343,1024,224,5.48
gluon_resnet18_v1b,8949.74,114.406,1024,224,11.69
ssl_resnet18,8947.2,114.439,1024,224,11.69
resnet18,8927.25,114.693,1024,224,11.69
hardcorenas_c,8864.36,115.506,1024,224,5.52
mobilenetv2_075,8764.66,116.82,1024,224,2.64
mnasnet_100,8646.99,118.411,1024,224,4.38
mnasnet_b1,8646.34,118.421,1024,224,4.38
semnasnet_075,8603.57,119.009,1024,224,2.91
levit_256,8528.42,120.058,1024,224,18.89
regnety_004,8497.03,120.501,1024,224,4.34
seresnet18,8461.0,121.015,1024,224,11.78
hardcorenas_d,8306.25,123.269,1024,224,7.5
legacy_seresnet18,8213.74,124.658,1024,224,11.78
regnetx_006,8055.06,127.114,1024,224,6.2
mobilenetv2_100,7900.5,129.6,1024,224,3.5
spnasnet_100,7827.4,130.811,1024,224,4.42
semnasnet_100,7701.96,132.941,1024,224,3.89
mnasnet_a1,7678.8,133.342,1024,224,3.89
resnet18d,7478.23,136.919,1024,224,11.71
levit_256d,7357.48,139.166,1024,224,26.21
ghostnet_130,7270.82,140.824,1024,224,7.36
regnety_006,7263.32,140.971,1024,224,6.06
hardcorenas_f,7222.67,141.764,1024,224,8.2
hardcorenas_e,7174.56,142.715,1024,224,8.07
efficientnet_lite0,7057.13,145.09,1024,224,4.65
ese_vovnet19b_slim,6975.46,146.789,1024,224,3.17
tinynet_a,6918.13,148.004,1024,192,6.19
fbnetc_100,6847.55,149.531,1024,224,5.57
tf_efficientnetv2_b0,6842.85,149.633,1024,224,7.14
xcit_nano_12_p16_224_dist,6769.74,151.25,1024,224,3.05
xcit_nano_12_p16_224,6760.61,151.454,1024,224,3.05
regnetx_008,6358.56,161.031,1024,224,7.26
deit_tiny_patch16_224,6350.86,161.227,1024,224,5.72
vit_tiny_patch16_224,6346.8,161.33,1024,224,5.72
tf_efficientnet_lite0,6324.64,161.895,1024,224,4.65
deit_tiny_distilled_patch16_224,6241.01,164.064,1024,224,5.91
efficientnet_b0,6183.5,165.59,1024,224,5.29
efficientnet_b1_pruned,6044.57,169.396,1024,240,6.33
rexnet_100,6031.43,169.765,1024,224,4.8
mnasnet_140,6024.95,169.948,1024,224,7.12
rexnetr_100,5992.24,170.876,1024,224,4.88
dla46_c,5989.01,170.968,1024,224,1.3
pit_ti_distilled_224,5978.67,171.264,1024,224,5.1
mobilenetv2_110d,5966.33,171.618,1024,224,4.52
pit_ti_224,5950.27,172.082,1024,224,4.85
regnety_008,5940.31,172.37,1024,224,6.26
resnetblur18,5929.76,172.677,1024,224,11.69
tf_efficientnet_b0,5620.98,182.161,1024,224,5.29
tf_efficientnet_b0_ns,5610.83,182.491,1024,224,5.29
tf_efficientnet_b0_ap,5603.36,182.734,1024,224,5.29
skresnet18,5578.53,183.549,1024,224,11.96
regnetz_005,5482.6,186.761,1024,224,7.12
semnasnet_140,5325.69,192.263,1024,224,6.11
mobilenetv2_140,5271.81,194.229,1024,224,6.11
resnet34,5239.3,195.434,1024,224,21.8
tv_resnet34,5236.24,195.548,1024,224,21.8
gluon_resnet34_v1b,5233.7,195.644,1024,224,21.8
ese_vovnet19b_dw,5190.19,197.284,1024,224,6.54
levit_384,5177.17,197.779,1024,224,39.13
mobilevit_xxs,5154.01,198.668,1024,256,1.27
visformer_tiny,5148.77,198.871,1024,224,10.32
hrnet_w18_small,5137.51,199.307,1024,224,13.19
nf_regnet_b0,5134.01,199.442,1024,256,8.76
seresnet34,4940.74,207.245,1024,224,21.96
mixnet_s,4921.18,208.067,1024,224,4.13
gernet_m,4881.9,209.742,1024,224,21.14
efficientnet_lite1,4817.11,212.565,1024,240,5.42
legacy_seresnet34,4790.34,213.752,1024,224,21.96
selecsls42,4787.26,213.889,1024,224,30.35
selecsls42b,4772.45,214.553,1024,224,32.46
dla46x_c,4717.05,217.071,1024,224,1.07
resnet34d,4707.81,217.499,1024,224,21.82
vit_base_patch32_224,4653.29,220.048,1024,224,88.22
vit_base_patch32_224_sam,4636.98,220.822,1024,224,88.22
pit_xs_224,4628.58,221.222,1024,224,10.62
tf_mixnet_s,4615.88,221.831,1024,224,4.13
fbnetv3_b,4595.16,222.83,1024,256,8.6
rexnetr_130,4587.31,223.212,1024,224,7.61
pit_xs_distilled_224,4586.36,223.258,1024,224,11.0
resmlp_12_distilled_224,4524.79,226.297,1024,224,15.35
resmlp_12_224,4522.51,226.411,1024,224,15.35
tf_efficientnetv2_b1,4515.62,226.756,1024,240,8.14
dla60x_c,4459.55,229.607,1024,224,1.32
tf_efficientnet_lite1,4427.03,231.295,1024,240,5.42
mixer_b32_224,4423.78,231.465,1024,224,60.29
rexnet_130,4423.43,231.482,1024,224,7.56
xcit_tiny_12_p16_224_dist,4363.62,234.654,1024,224,6.72
xcit_tiny_12_p16_224,4352.75,235.24,1024,224,6.72
resnet26,4300.48,238.1,1024,224,16.0
mobilenetv2_120d,4276.4,239.441,1024,224,5.83
efficientnet_es_pruned,4244.8,241.225,1024,224,5.44
efficientnet_es,4243.52,241.298,1024,224,5.44
repvgg_b0,4216.88,242.821,1024,224,15.82
selecsls60,4146.99,246.913,1024,224,30.67
selecsls60b,4134.81,247.64,1024,224,32.77
tf_efficientnet_es,4097.34,249.906,1024,224,5.44
fbnetv3_d,4060.14,252.196,1024,256,10.31
efficientnet_b2_pruned,4051.65,252.724,1024,260,8.31
efficientnet_b0_g16_evos,3982.5,257.113,1024,224,8.11
rexnetr_150,3947.19,259.414,1024,224,9.78
crossvit_tiny_240,3922.12,261.07,1024,240,7.01
mixer_s16_224,3902.13,262.409,1024,224,18.53
resnet26d,3896.6,262.781,1024,224,16.01
dla34,3859.49,265.307,1024,224,15.74
ecaresnet50d_pruned,3854.93,265.621,1024,224,19.94
rexnet_150,3827.99,267.492,1024,224,9.73
vit_small_patch32_384,3806.52,269.0,1024,384,22.92
nf_resnet26,3804.26,269.16,1024,224,16.0
gmixer_12_224,3797.94,269.608,1024,224,12.7
efficientnet_lite2,3793.99,269.889,1024,260,6.09
gmlp_ti16_224,3724.27,274.941,1024,224,5.87
crossvit_9_240,3711.74,275.869,1024,240,8.55
regnetx_016,3640.75,281.247,1024,224,9.19
efficientnet_cc_b0_4e,3606.59,283.912,1024,224,13.31
efficientnet_cc_b0_8e,3600.63,284.383,1024,224,24.01
crossvit_9_dagger_240,3560.19,287.614,1024,240,8.78
tf_efficientnet_b1_ap,3560.01,287.626,1024,240,7.79
tf_efficientnet_b1,3559.25,287.687,1024,240,7.79
tf_efficientnet_b1_ns,3553.74,288.134,1024,240,7.79
tf_efficientnet_lite2,3505.87,292.07,1024,260,6.09
efficientnet_b1,3481.01,294.155,1024,256,7.79
poolformer_s12,3480.88,294.166,1024,224,11.92
vit_tiny_r_s16_p8_384,3451.73,148.319,512,384,6.36
tf_efficientnetv2_b2,3443.76,297.337,1024,260,10.1
tf_efficientnet_cc_b0_8e,3407.59,300.493,1024,224,24.01
tf_efficientnet_cc_b0_4e,3402.61,300.934,1024,224,13.31
mixnet_m,3369.57,303.884,1024,224,5.01
regnety_016,3343.57,306.248,1024,224,11.2
nf_seresnet26,3326.57,307.813,1024,224,17.4
nf_ecaresnet26,3308.22,309.519,1024,224,16.0
repvgg_a2,3284.74,311.731,1024,224,28.21
gernet_l,3260.13,314.086,1024,256,31.08
tf_mixnet_m,3258.23,314.269,1024,224,5.01
resnest14d,3225.43,317.465,1024,224,10.61
efficientnet_b3_pruned,3214.49,318.545,1024,300,9.86
convnext_nano_hnf,3199.89,319.999,1024,224,15.59
skresnet34,3189.47,321.044,1024,224,22.28
convit_tiny,3117.16,328.49,1024,224,5.71
resnext26ts,3098.65,330.453,1024,256,10.3
legacy_seresnext26_32x4d,3086.27,331.78,1024,224,16.79
nf_regnet_b1,3049.58,335.771,1024,288,10.22
resnet26t,3040.5,336.774,1024,256,16.01
seresnext26ts,3026.32,338.35,1024,256,10.39
eca_resnext26ts,3023.05,338.719,1024,256,10.3
gcresnext26ts,2976.22,344.049,1024,256,10.48
ecaresnet101d_pruned,2954.94,346.526,1024,224,24.88
nf_regnet_b2,2933.65,349.041,1024,272,14.31
mobilevit_xs,2913.13,175.744,512,256,2.32
seresnext26tn_32x4d,2898.81,353.236,1024,224,16.81
seresnext26t_32x4d,2897.48,353.398,1024,224,16.81
ecaresnext26t_32x4d,2893.22,353.918,1024,224,15.41
ecaresnext50t_32x4d,2891.83,354.088,1024,224,15.41
seresnext26d_32x4d,2884.91,354.937,1024,224,16.81
ecaresnetlight,2878.45,355.733,1024,224,30.16
pit_s_224,2872.59,356.46,1024,224,23.46
deit_small_patch16_224,2853.43,358.855,1024,224,22.05
pit_s_distilled_224,2851.86,359.052,1024,224,24.04
vit_small_patch16_224,2845.41,359.865,1024,224,22.05
tf_efficientnet_b2_ap,2814.51,363.814,1024,260,9.11
tf_efficientnet_b2_ns,2814.31,363.839,1024,260,9.11
coat_lite_tiny,2814.08,363.872,1024,224,5.72
tf_efficientnet_b2,2813.96,363.886,1024,260,9.11
rexnetr_200,2808.62,182.283,512,224,16.52
deit_small_distilled_patch16_224,2801.73,365.478,1024,224,22.44
tresnet_m,2787.92,367.287,1024,224,31.39
resnetv2_50,2780.22,368.303,1024,224,25.55
eca_botnext26ts_256,2766.45,370.137,1024,256,10.59
rexnet_200,2763.52,185.259,512,224,16.37
vit_base2_patch32_256,2752.1,372.066,1024,256,119.46
botnet26t_256,2750.58,372.273,1024,256,12.49
halonet26t,2727.12,375.475,1024,256,12.48
eca_halonext26ts,2721.42,376.262,1024,256,10.76
swsl_resnet50,2693.51,380.159,1024,224,25.56
tv_resnet50,2687.71,380.98,1024,224,25.56
efficientnet_b0_gn,2686.21,381.194,1024,224,5.29
ssl_resnet50,2684.8,381.394,1024,224,25.56
gluon_resnet50_v1b,2682.34,381.744,1024,224,25.56
resnet50,2681.21,381.904,1024,224,25.56
vit_small_resnet26d_224,2675.44,382.728,1024,224,63.61
efficientnet_b2a,2654.03,385.816,1024,288,9.11
efficientnet_b2,2649.9,386.418,1024,288,9.11
coat_lite_mini,2646.6,386.899,1024,224,11.01
hrnet_w18_small_v2,2638.47,388.089,1024,224,15.6
resnetv2_50t,2621.75,390.565,1024,224,25.57
vovnet39a,2620.98,390.68,1024,224,22.6
resnetv2_50d,2613.09,391.86,1024,224,25.57
bat_resnext26ts,2594.52,394.665,1024,256,10.73
resnet32ts,2591.72,395.092,1024,256,17.96
efficientnet_em,2587.13,395.792,1024,240,6.9
cspresnet50,2561.78,399.709,1024,256,21.62
mixnet_l,2560.63,199.939,512,224,7.33
resnet33ts,2550.89,401.417,1024,256,19.68
dpn68b,2548.03,401.866,1024,224,12.61
gluon_resnet50_v1c,2543.04,402.654,1024,224,25.58
ese_vovnet39b,2535.01,403.931,1024,224,24.57
eca_vovnet39b,2533.56,404.162,1024,224,22.6
cspresnext50,2530.86,404.592,1024,224,20.57
legacy_seresnet50,2527.3,405.162,1024,224,28.09
vgg11_bn,2524.72,202.784,512,224,132.87
tf_efficientnet_em,2523.81,405.723,1024,240,6.9
resnet50t,2521.66,406.069,1024,224,25.57
resnet50d,2517.37,406.76,1024,224,25.58
gluon_resnet50_v1d,2514.4,407.243,1024,224,25.58
dpn68,2513.01,407.467,1024,224,12.61
selecsls84,2490.46,411.155,1024,224,50.95
seresnet33ts,2489.53,411.308,1024,256,19.78
eca_resnet33ts,2483.09,412.378,1024,256,19.68
lambda_resnet26t,2479.99,412.893,1024,256,10.96
tf_mixnet_l,2478.99,206.524,512,224,7.33
twins_svt_small,2475.31,413.674,1024,224,24.06
gcresnet33ts,2439.7,419.711,1024,256,19.88
cspresnet50w,2418.46,423.398,1024,256,28.12
seresnet50,2407.37,425.348,1024,224,28.09
cspresnet50d,2400.89,426.492,1024,256,21.64
dla60,2376.63,430.848,1024,224,22.04
densenet121,2346.76,436.333,1024,224,7.98
resnest26d,2346.08,436.46,1024,224,17.07
tv_densenet121,2345.79,436.514,1024,224,7.98
xcit_tiny_24_p16_224_dist,2334.54,438.616,1024,224,12.12
xcit_nano_12_p16_384_dist,2332.68,438.968,1024,384,3.05
xcit_tiny_24_p16_224,2328.43,439.766,1024,224,12.12
haloregnetz_b,2320.38,441.294,1024,224,11.68
resmlp_24_224,2308.85,443.498,1024,224,30.02
resmlp_24_distilled_224,2308.13,443.636,1024,224,30.02
resnetaa50d,2295.34,446.109,1024,224,25.58
seresnet50t,2282.97,448.526,1024,224,28.1
efficientnet_cc_b1_8e,2282.2,448.676,1024,240,39.72
convnext_tiny,2276.32,449.828,1024,224,28.59
res2net50_48w_2s,2265.43,451.999,1024,224,25.29
resnetblur50,2265.02,452.08,1024,224,25.56
efficientnet_lite3,2261.44,226.393,512,300,8.2
ecaresnet50d,2260.92,452.9,1024,224,25.58
efficientnet_b0_g8_gn,2259.05,453.276,1024,224,6.56
densenet121d,2243.46,456.425,1024,224,8.0
resnetrs50,2241.6,456.804,1024,224,35.69
mobilevit_s,2240.37,228.522,512,256,5.58
regnetx_032,2201.52,465.118,1024,224,15.3
visformer_small,2194.82,466.539,1024,224,40.22
gluon_resnet50_v1s,2193.42,466.838,1024,224,25.68
tf_efficientnet_cc_b1_8e,2188.26,467.941,1024,240,39.72
vit_base_resnet26d_224,2188.18,467.954,1024,224,101.4
resnetblur50d,2150.42,476.173,1024,224,25.58
gluon_inception_v3,2150.17,476.225,1024,299,23.83
adv_inception_v3,2148.48,476.602,1024,299,23.83
vovnet57a,2148.25,476.651,1024,224,36.64
tf_inception_v3,2147.17,476.894,1024,299,23.83
inception_v3,2146.78,476.978,1024,299,23.83
densenetblur121d,2133.31,479.992,1024,224,8.0
cspresnext50_iabn,2129.31,480.895,1024,256,20.57
semobilevit_s,2105.83,243.122,512,256,5.74
seresnetaa50d,2088.02,490.403,1024,224,28.11
cspdarknet53_iabn,2087.26,490.582,1024,256,27.64
swsl_resnext50_32x4d,2080.34,492.214,1024,224,25.03
convnext_tiny_hnf,2075.56,493.349,1024,224,28.59
ese_vovnet57b,2074.63,493.57,1024,224,38.61
tf_efficientnet_lite3,2074.49,246.795,512,300,8.2
resnext50_32x4d,2073.97,493.725,1024,224,25.03
ssl_resnext50_32x4d,2073.23,493.902,1024,224,25.03
gluon_resnext50_32x4d,2072.3,494.125,1024,224,25.03
tv_resnext50_32x4d,2055.26,498.221,1024,224,25.03
res2net50_26w_4s,2037.79,502.491,1024,224,25.7
twins_pcpvt_small,2036.4,502.835,1024,224,24.11
xcit_small_12_p16_224_dist,2021.26,506.599,1024,224,26.25
tf_efficientnetv2_b3,2020.91,506.688,1024,300,14.36
xcit_small_12_p16_224,2020.4,506.814,1024,224,26.25
nf_seresnet50,2015.9,507.948,1024,224,28.09
skresnet50,2014.26,508.362,1024,224,25.8
nf_ecaresnet50,2005.54,510.572,1024,224,25.56
regnetx_040,2003.23,511.16,1024,224,22.12
efficientnetv2_rw_t,1999.8,512.038,1024,288,13.65
sehalonet33ts,1991.52,257.078,512,256,13.69
fbnetv3_g,1991.44,514.187,1024,288,16.62
dla60x,1986.19,515.547,1024,224,17.35
gcresnet50t,1982.14,516.599,1024,256,25.9
resnext50d_32x4d,1976.72,518.018,1024,224,25.05
lambda_resnet26rpt_256,1950.98,262.42,512,256,10.99
gmixer_24_224,1937.61,528.474,1024,224,24.72
gc_efficientnetv2_rw_t,1928.42,530.993,1024,288,13.68
res2net50_14w_8s,1920.35,533.22,1024,224,25.06
skresnet50d,1919.46,533.468,1024,224,25.82
densenet169,1916.46,534.305,1024,224,14.15
dla60_res2net,1907.38,536.848,1024,224,20.85
gcresnext50ts,1902.33,538.276,1024,256,15.67
seresnext50_32x4d,1902.13,538.331,1024,224,27.56
gluon_seresnext50_32x4d,1901.68,538.457,1024,224,27.56
res2next50,1896.89,539.818,1024,224,24.67
legacy_seresnext50_32x4d,1896.31,539.984,1024,224,27.56
repvgg_b1g4,1884.44,543.384,1024,224,39.97
resnest50d_1s4x24d,1879.81,544.722,1024,224,25.68
crossvit_small_240,1855.05,551.992,1024,240,26.86
nf_regnet_b3,1852.1,552.873,1024,320,18.59
darknet53,1847.62,277.102,512,256,41.61
mixnet_xl,1839.34,278.346,512,224,11.9
dla60_res2next,1829.2,559.793,1024,224,17.03
swin_tiny_patch4_window7_224,1820.74,562.394,1024,224,28.29
cspdarknet53,1804.24,283.762,512,256,27.64
poolformer_s24,1803.36,567.817,1024,224,21.39
vit_small_r26_s32_224,1799.77,568.949,1024,224,36.43
xcit_nano_12_p8_224_dist,1796.05,570.128,1024,224,3.05
xcit_nano_12_p8_224,1795.49,570.304,1024,224,3.05
regnetz_b16,1791.93,571.438,1024,288,9.72
ecaresnet26t,1786.82,573.073,1024,320,16.01
convnext_tiny_hnfd,1744.82,586.868,1024,224,28.63
gmlp_s16_224,1741.6,587.951,1024,224,19.42
sebotnet33ts_256,1718.54,223.433,384,256,13.7
crossvit_15_240,1711.44,598.314,1024,240,27.53
resnetv2_101,1693.03,604.82,1024,224,44.54
vit_base_resnet50d_224,1670.98,612.798,1024,224,110.97
swin_s3_tiny_224,1660.14,616.801,1024,224,28.33
repvgg_b1,1657.85,617.654,1024,224,57.42
tv_resnet101,1656.03,618.332,1024,224,44.55
gluon_resnet101_v1b,1653.8,619.167,1024,224,44.55
resnet101,1652.45,619.673,1024,224,44.55
tf_efficientnet_b3_ap,1649.82,310.323,512,300,12.23
tf_efficientnet_b3,1649.61,310.363,512,300,12.23
tf_efficientnet_b3_ns,1649.37,310.407,512,300,12.23
crossvit_15_dagger_240,1648.34,621.218,1024,240,28.21
lambda_resnet50ts,1639.74,624.475,1024,256,21.54
resnetv2_101d,1628.19,628.906,1024,224,44.56
efficientnet_b3,1614.3,317.152,512,320,12.23
efficientnet_b3a,1613.57,317.296,512,320,12.23
gluon_resnet101_v1c,1597.11,641.145,1024,224,44.57
resnest50d,1586.43,645.46,1024,224,27.48
gluon_resnet101_v1d,1584.97,646.054,1024,224,44.57
wide_resnet50_2,1583.06,646.835,1024,224,68.88
cait_xxs24_224,1580.68,647.808,1024,224,11.96
dla102,1573.96,650.576,1024,224,33.27
resnetv2_50x1_bit_distilled,1561.81,655.635,1024,224,25.55
res2net50_26w_6s,1556.3,657.955,1024,224,37.05
vit_large_patch32_224,1551.79,659.869,1024,224,306.54
resmlp_36_224,1549.07,661.03,1024,224,44.69
regnetx_080,1548.92,661.091,1024,224,39.57
resmlp_36_distilled_224,1548.49,661.277,1024,224,44.69
halonet50ts,1542.39,663.891,1024,256,22.73
legacy_seresnet101,1528.82,669.783,1024,224,49.33
ese_vovnet39b_evos,1523.51,672.121,1024,224,24.58
coat_lite_small,1509.49,678.361,1024,224,19.84
vgg13_bn,1504.09,340.392,512,224,133.05
xcit_tiny_12_p16_384_dist,1501.95,681.763,1024,384,6.72
resnetaa101d,1496.92,684.059,1024,224,44.57
swin_v2_cr_tiny_224,1495.36,684.765,1024,224,28.33
densenet201,1488.38,687.985,1024,224,20.01
seresnet101,1484.39,689.83,1024,224,49.33
vit_tiny_patch16_384,1479.06,692.319,1024,384,5.79
lamhalobotnet50ts_256,1474.4,694.504,1024,256,22.57
swin_v2_cr_tiny_ns_224,1471.62,695.817,1024,224,28.33
vit_base_patch32_384,1470.27,696.459,1024,384,88.3
vit_base_r26_s32_224,1467.48,697.779,1024,224,101.38
gluon_resnet101_v1s,1452.66,704.901,1024,224,44.67
regnetx_064,1450.48,352.975,512,224,26.21
mixer_b16_224,1448.87,706.746,1024,224,59.88
nf_resnet101,1448.19,707.076,1024,224,44.55
mixer_b16_224_miil,1446.14,708.08,1024,224,59.88
resnetv2_50d_frn,1444.18,709.041,1024,224,25.59
resnetblur101d,1433.31,714.414,1024,224,44.57
nf_resnet50,1425.83,718.163,1024,288,25.56
mixer_l32_224,1425.39,718.388,1024,224,206.94
ecaresnet101d,1423.43,719.375,1024,224,44.57
hrnet_w18,1416.64,722.817,1024,224,21.3
convnext_small,1412.23,725.081,1024,224,50.22
tresnet_l,1401.27,730.75,1024,224,55.99
twins_pcpvt_base,1398.04,732.441,1024,224,43.83
regnety_032,1384.84,739.421,1024,288,19.44
nest_tiny,1381.77,370.526,512,224,17.06
resnet50_gn,1377.54,743.338,1024,224,25.56
resnet51q,1366.14,749.545,1024,288,35.7
resnetv2_50d_evob,1365.49,749.897,1024,224,25.59
jx_nest_tiny,1357.18,377.241,512,224,17.06
botnet50ts_256,1354.82,377.899,512,256,22.74
xception,1347.6,379.923,512,299,22.86
dla102x,1333.01,768.169,1024,224,26.31
convit_small,1329.45,770.231,1024,224,27.78
halo2botnet50ts_256,1327.73,385.607,512,256,22.64
skresnext50_32x4d,1314.86,778.776,1024,224,27.48
swsl_resnext101_32x4d,1313.2,779.762,1024,224,44.18
ssl_resnext101_32x4d,1309.86,781.751,1024,224,44.18
gluon_resnext101_32x4d,1309.44,781.999,1024,224,44.18
resnext101_32x4d,1308.3,782.684,1024,224,44.18
repvgg_b2g4,1287.88,795.093,1024,224,61.76
res2net50_26w_8s,1277.42,801.601,1024,224,48.4
res2net101_26w_4s,1275.83,802.597,1024,224,45.21
resnest50d_4s2x40d,1267.83,807.666,1024,224,30.42
nf_seresnet101,1246.67,821.372,1024,224,49.33
twins_svt_base,1242.25,824.296,1024,224,56.07
nf_ecaresnet101,1240.12,825.715,1024,224,44.55
vgg16_bn,1239.17,413.169,512,224,138.37
resnet61q,1236.58,828.077,1024,288,36.85
eca_nfnet_l0,1234.82,829.257,1024,288,24.14
nfnet_l0,1234.39,829.546,1024,288,35.07
hrnet_w32,1225.86,835.318,1024,224,41.23
xception41p,1219.47,419.841,512,299,26.91
poolformer_s36,1217.85,840.81,1024,224,30.86
ese_vovnet99b_iabn,1214.4,843.2,1024,224,63.2
crossvit_18_240,1210.54,845.892,1024,240,43.27
regnetv_040,1210.02,423.122,512,288,20.64
regnety_040,1209.84,423.186,512,288,20.65
hrnet_w30,1208.97,846.988,1024,224,37.71
dpn92,1205.79,849.224,1024,224,37.67
gluon_seresnext101_32x4d,1198.19,854.61,1024,224,48.96
seresnext101_32x4d,1197.93,854.792,1024,224,48.96
legacy_seresnext101_32x4d,1196.55,855.783,1024,224,48.96
efficientnet_el,1181.26,433.424,512,300,10.59
efficientnet_el_pruned,1179.3,434.142,512,300,10.59
ese_vovnet99b,1178.02,869.24,1024,224,63.2
resnetv2_152,1172.64,873.226,1024,224,60.19
crossvit_18_dagger_240,1169.98,875.211,1024,240,44.27
tf_efficientnet_el,1156.16,442.832,512,300,10.59
tv_resnet152,1155.28,886.354,1024,224,60.19
resnet152,1153.46,887.752,1024,224,60.19
gluon_resnet152_v1b,1153.39,887.802,1024,224,60.19
xcit_tiny_12_p8_224_dist,1148.77,891.372,1024,224,6.71
xcit_tiny_12_p8_224,1148.55,891.542,1024,224,6.71
vit_small_resnet50d_s16_224,1140.9,897.523,1024,224,57.53
resnetv2_152d,1140.85,897.561,1024,224,60.2
mixnet_xxl,1136.05,338.002,384,224,23.96
ecaresnet50t,1133.49,903.391,1024,320,25.57
regnetz_c16,1132.12,452.237,512,320,13.46
repvgg_b2,1129.63,906.478,1024,224,89.02
gluon_resnet152_v1c,1126.87,908.694,1024,224,60.21
vit_base_patch16_224_miil,1124.8,910.37,1024,224,86.54
gluon_resnet152_v1d,1122.21,912.468,1024,224,60.21
volo_d1_224,1121.56,912.997,1024,224,26.63
swin_small_patch4_window7_224,1117.13,916.62,1024,224,49.61
regnety_040s_gn,1113.45,919.647,1024,224,20.65
inception_v4,1099.65,931.189,1024,299,42.68
vit_base_patch16_224_sam,1089.03,940.269,1024,224,86.57
xception41,1089.03,470.133,512,299,26.97
vit_base_patch16_224,1089.0,940.3,1024,224,86.57
deit_base_patch16_224,1088.05,941.117,1024,224,86.57
xcit_small_24_p16_224_dist,1079.16,948.867,1024,224,47.67
xcit_small_24_p16_224,1078.82,949.17,1024,224,47.67
densenet161,1076.84,950.914,1024,224,28.68
convmixer_1024_20_ks9_p14,1075.95,951.707,1024,224,24.38
nfnet_f0,1075.06,952.487,1024,256,71.49
deit_base_distilled_patch16_224,1073.74,953.659,1024,224,87.34
dla169,1071.22,955.906,1024,224,53.39
vgg19_bn,1060.19,482.919,512,224,143.68
cait_xxs36_224,1058.79,967.13,1024,224,17.3
tnt_s_patch16_224,1056.28,969.422,1024,224,23.76
legacy_seresnet152,1054.79,970.791,1024,224,66.82
gluon_resnet152_v1s,1052.41,972.991,1024,224,60.32
regnetx_120,1048.48,488.312,512,224,46.11
seresnet152,1033.07,991.203,1024,224,66.82
tresnet_xl,1032.49,991.76,1024,224,78.44
efficientnet_lite4,1029.33,373.047,384,380,13.01
beit_base_patch16_224,1003.86,1020.053,1024,224,86.53
regnety_120,1003.65,510.126,512,224,51.82
repvgg_b3g4,997.42,1026.637,1024,224,83.83
twins_pcpvt_large,995.78,1028.325,1024,224,60.99
convnext_base,984.44,1040.164,1024,224,88.59
convnext_base_in22ft1k,984.35,1040.256,1024,224,88.59
coat_tiny,976.27,1048.875,1024,224,5.5
tf_efficientnet_lite4,967.59,396.848,384,380,13.01
pit_b_224,954.91,536.164,512,224,73.76
dm_nfnet_f0,948.25,1079.874,1024,256,71.49
pit_b_distilled_224,947.46,540.381,512,224,74.79
vit_small_patch16_36x1_224,919.98,1113.057,1024,224,64.67
wide_resnet101_2,917.07,1116.581,1024,224,126.89
swin_v2_cr_small_224,915.96,1117.937,1024,224,49.7
dla102x2,910.31,562.434,512,224,41.28
resnetv2_50d_gn,909.47,1125.915,1024,288,25.57
efficientnetv2_s,905.47,1130.894,1024,384,21.46
vit_small_patch16_18x2_224,899.06,1138.948,1024,224,64.67
tf_efficientnetv2_s_in21ft1k,889.42,1151.294,1024,384,21.46
tf_efficientnetv2_s,889.32,1151.431,1024,384,21.46
xception65p,886.31,577.66,512,299,39.82
nest_small,881.75,580.652,512,224,38.35
twins_svt_large,880.33,1163.185,1024,224,99.27
repvgg_b3,878.37,1165.779,1024,224,123.09
resnetrs101,877.57,1166.842,1024,288,63.62
jx_nest_small,871.53,587.458,512,224,38.35
efficientnetv2_rw_s,866.51,1181.735,1024,384,23.94
dpn98,862.25,1187.578,1024,224,61.57
ens_adv_inception_resnet_v2,856.37,1195.737,1024,299,55.84
inception_resnet_v2,855.57,1196.844,1024,299,55.84
nf_regnet_b4,854.46,1198.403,1024,384,30.21
regnetz_b16_evos,853.4,599.942,512,288,9.74
regnetx_160,848.43,603.455,512,224,54.28
regnetz_d8,845.88,1210.552,1024,320,23.37
cait_s24_224,834.81,1226.608,1024,224,46.92
gluon_resnext101_64x4d,834.02,1227.777,1024,224,83.46
resnet200,828.19,1236.414,1024,224,64.67
regnetz_040,826.88,464.381,384,320,27.12
regnetz_040h,823.24,466.438,384,320,28.94
efficientnet_b4,820.41,468.046,384,384,19.34
swin_s3_small_224,817.53,626.263,512,224,49.74
hrnet_w40,816.49,1254.128,1024,224,57.56
poolformer_m36,815.39,1255.826,1024,224,56.17
swsl_resnext101_32x8d,805.27,1271.611,1024,224,88.79
regnety_064,803.23,637.411,512,288,30.58
ssl_resnext101_32x8d,802.86,1275.43,1024,224,88.79
xcit_tiny_24_p16_384_dist,802.73,1275.631,1024,384,12.12
ig_resnext101_32x8d,802.17,1276.521,1024,224,88.79
resnext101_32x8d,802.06,1276.704,1024,224,88.79
regnetv_064,800.43,639.64,512,288,30.58
resnetv2_50d_evos,798.97,640.813,512,288,25.59
gluon_xception65,797.15,642.277,512,299,39.92
resnet101d,796.13,1286.203,1024,320,44.57
xception65,795.21,643.84,512,299,39.92
resnest101e,791.92,646.513,512,256,48.28
swin_base_patch4_window7_224,791.65,1293.482,1024,224,87.77
gluon_seresnext101_64x4d,787.65,1300.055,1024,224,88.23
coat_mini,785.23,1304.064,1024,224,10.34
tf_efficientnet_b4_ap,782.92,490.459,384,380,19.34
tf_efficientnet_b4,782.13,490.953,384,380,19.34
tf_efficientnet_b4_ns,782.09,490.976,384,380,19.34
regnety_080,767.29,667.271,512,288,39.18
hrnet_w44,759.24,1348.7,1024,224,67.06
crossvit_base_240,756.03,677.208,512,240,105.03
xcit_medium_24_p16_224_dist,748.3,1368.42,1024,224,84.4
xcit_medium_24_p16_224,747.93,1369.089,1024,224,84.4
gmlp_b16_224,744.43,1375.538,1024,224,73.08
hrnet_w48,733.55,1395.939,1024,224,77.47
tresnet_m_448,727.54,1407.473,1024,448,31.39
vit_large_r50_s32_224,726.03,1410.402,1024,224,328.99
regnetz_d32,721.75,1418.755,1024,320,27.58
vit_small_patch16_384,684.33,748.167,512,384,22.2
tnt_b_patch16_224,677.0,1512.541,1024,224,65.41
xcit_small_12_p16_384_dist,675.76,1515.313,1024,384,26.25
convit_base,673.78,1519.763,1024,224,86.54
swin_s3_base_224,663.17,1544.087,1024,224,71.13
swin_v2_cr_base_224,651.94,1570.69,1024,224,87.88
densenet264d_iabn,647.21,1582.161,1024,224,72.74
efficientnet_b3_gn,646.96,395.683,256,320,11.73
dpn131,635.27,1611.889,1024,224,79.25
densenet264,628.46,1629.36,1024,224,72.69
nest_base,627.45,815.992,512,224,67.72
volo_d2_224,626.17,1635.329,1024,224,58.68
jx_nest_base,620.43,825.215,512,224,67.72
poolformer_m48,615.67,1663.217,1024,224,73.47
vit_small_r26_s32_384,611.26,628.196,384,384,36.47
xcit_nano_12_p8_384_dist,610.06,1678.498,1024,384,3.05
xcit_tiny_24_p8_224,603.0,1698.15,1024,224,12.11
xcit_tiny_24_p8_224_dist,602.22,1700.353,1024,224,12.11
xception71,600.16,853.086,512,299,42.34
hrnet_w64,599.02,1709.451,1024,224,128.06
vit_base_r50_s16_224,598.25,1711.642,1024,224,98.66
legacy_senet154,582.07,1759.212,1024,224,115.09
senet154,582.01,1759.392,1024,224,115.09
gluon_senet154,581.94,1759.609,1024,224,115.09
dpn107,578.97,1768.627,1024,224,86.92
eca_nfnet_l1,575.61,1778.965,1024,320,41.41
seresnet200d,562.84,1819.333,1024,256,71.86
resnet152d,561.29,1824.359,1024,320,60.21
ecaresnet200d,559.73,1829.437,1024,256,64.69
convnext_large_in22ft1k,546.71,936.5,512,224,197.77
convnext_large,546.09,937.561,512,224,197.77
regnetz_c16_evos,539.7,948.669,512,320,13.49
regnety_320,534.72,957.496,512,224,145.05
regnety_160,523.72,733.2,384,288,83.59
efficientnet_b3_g8_gn,520.23,492.079,256,320,14.25
xcit_small_12_p8_224,514.94,1988.547,1024,224,26.21
xcit_small_12_p8_224_dist,514.63,1989.761,1024,224,26.21
halonet_h1,507.89,504.03,256,256,8.1
resnext101_64x4d,505.79,1012.259,512,288,83.46
seresnet152d,503.07,2035.474,1024,320,66.84
resnetrs152,499.61,2049.599,1024,320,86.62
vit_large_patch32_384,494.68,2070.028,1024,384,306.63
regnetx_320,468.44,819.734,384,224,107.81
mixer_l16_224,464.51,2204.436,1024,224,208.2
seresnext101_32x8d,461.67,1109.006,512,288,93.57
swin_large_patch4_window7_224,454.97,1125.326,512,224,196.53
regnetz_e8,451.54,1133.877,512,320,57.7
efficientnetv2_m,442.19,2315.716,1024,416,54.14
seresnet269d,440.45,2324.895,1024,256,113.67
volo_d3_224,438.95,2332.847,1024,224,86.33
xcit_large_24_p16_224,432.87,2365.575,1024,224,189.1
xcit_large_24_p16_224_dist,432.7,2366.505,1024,224,189.1
efficientnet_b5,411.07,622.743,256,456,30.39
efficientnetv2_rw_m,406.88,1258.338,512,416,53.24
resnet200d,404.01,2534.588,1024,320,64.69
tf_efficientnet_b5,395.61,647.082,256,456,30.39
tf_efficientnet_b5_ap,395.52,647.242,256,456,30.39
tf_efficientnet_b5_ns,395.47,647.322,256,456,30.39
resnetv2_50x1_bitm,392.67,1303.884,512,448,25.55
xcit_tiny_12_p8_384_dist,390.32,2623.487,1024,384,6.71
swin_v2_cr_large_224,385.91,1326.718,512,224,196.68
swsl_resnext101_32x16d,375.78,1362.484,512,224,194.03
ig_resnext101_32x16d,373.86,1369.478,512,224,194.03
ssl_resnext101_32x16d,373.64,1370.28,512,224,194.03
regnetz_d8_evos,373.09,1372.306,512,320,23.46
swin_v2_cr_tiny_384,364.64,702.039,256,384,28.33
tresnet_l_448,361.5,2832.633,1024,448,55.99
convnext_xlarge_in22ft1k,360.86,1418.822,512,224,350.2
xcit_small_24_p16_384_dist,360.65,2839.301,1024,384,47.67
resnetrs200,358.31,2857.856,1024,320,93.21
nfnet_f1,357.09,2867.576,1024,320,132.63
vit_large_patch16_224,356.78,2870.107,1024,224,304.33
crossvit_15_dagger_408,354.9,721.306,256,408,28.5
vit_base_patch16_18x2_224,348.19,2940.87,1024,224,256.73
tf_efficientnetv2_m_in21ft1k,347.38,1473.892,512,480,54.14
tf_efficientnetv2_m,346.86,1476.074,512,480,54.14
dm_nfnet_f1,342.33,1495.606,512,320,132.63
convnext_base_384_in22ft1k,336.37,1141.59,384,384,88.59
beit_large_patch16_224,330.46,3098.668,1024,224,304.43
volo_d1_384,293.12,1746.724,512,384,26.78
convmixer_768_32,290.99,3518.992,1024,224,21.11
eca_nfnet_l2,282.42,1812.878,512,384,56.72
volo_d4_224,281.7,3635.003,1024,224,192.96
resnetv2_152x2_bit_teacher,280.73,1823.773,512,224,236.34
vit_base_patch16_384,280.43,1369.296,384,384,86.86
deit_base_patch16_384,280.4,1369.456,384,384,86.86
deit_base_distilled_patch16_384,276.56,1388.495,384,384,87.63
xcit_small_24_p8_224,269.73,3796.43,1024,224,47.63
tresnet_xl_448,269.71,1898.302,512,448,78.44
xcit_small_24_p8_224_dist,269.67,3797.157,1024,224,47.63
resnest200e,265.14,1931.055,512,320,70.2
cait_xxs24_384,264.07,3877.737,1024,384,12.03
vit_large_patch14_224,262.13,3906.369,1024,224,304.2
crossvit_18_dagger_408,260.17,983.968,256,408,44.61
xcit_medium_24_p16_384_dist,254.44,2012.271,512,384,84.4
nasnetalarge,254.21,1510.535,384,331,88.75
pnasnet5large,251.02,1529.719,384,331,86.06
resnetv2_101x1_bitm,246.55,2076.684,512,448,44.54
beit_base_patch16_384,241.2,1592.025,384,384,86.74
vit_large_r50_s32_384,240.58,1596.142,384,384,329.09
efficientnet_b6,239.36,534.745,128,528,43.04
ecaresnet269d,233.52,4385.094,1024,352,102.09
tf_efficientnet_b6_ns,231.37,553.209,128,528,43.04
tf_efficientnet_b6,231.23,553.545,128,528,43.04
tf_efficientnet_b6_ap,231.04,553.998,128,528,43.04
resnetrs270,227.52,4500.663,1024,352,129.86
swin_v2_cr_small_384,224.2,1141.845,256,384,49.7
swin_base_patch4_window12_384,211.77,906.647,192,384,87.9
resmlp_big_24_224,209.16,4895.869,1024,224,129.14
resmlp_big_24_distilled_224,208.94,4900.863,1024,224,129.14
resmlp_big_24_224_in22ft1k,208.92,4901.346,1024,224,129.14
xcit_tiny_24_p8_384_dist,204.37,5010.586,1024,384,12.11
nfnet_f2,200.76,5100.492,1024,352,193.78
tf_efficientnetv2_l,199.73,1922.595,384,480,118.52
efficientnetv2_l,198.4,2580.63,512,480,118.52
tf_efficientnetv2_l_in21ft1k,196.98,2599.257,512,480,118.52
dm_nfnet_f2,194.75,2628.942,512,352,193.78
xcit_medium_24_p8_224,189.81,2697.371,512,224,84.32
xcit_medium_24_p8_224_dist,189.81,2697.462,512,224,84.32
volo_d5_224,187.06,5474.175,1024,224,295.46
convnext_large_384_in22ft1k,186.8,1370.399,256,384,197.77
cait_xs24_384,184.72,2771.758,512,384,26.67
vit_base_patch8_224,183.25,1396.951,256,224,86.58
cait_xxs36_384,176.62,5797.903,1024,384,17.37
vit_base_r50_s16_384,174.09,2205.77,384,384,98.95
vit_base_resnet50_384,174.05,2206.21,384,384,98.95
xcit_small_12_p8_384_dist,173.11,2957.56,512,384,26.21
swin_v2_cr_huge_224,170.28,2255.094,384,224,657.83
convmixer_1536_20,167.4,6117.1,1024,224,51.63
volo_d2_384,164.47,2334.792,384,384,58.87
swin_v2_cr_base_384,160.01,1199.906,192,384,87.88
eca_nfnet_l3,159.42,3211.652,512,448,72.04
resnetrs350,151.88,3371.146,512,384,163.96
xcit_large_24_p16_384_dist,147.05,3481.712,512,384,189.1
ig_resnext101_32x32d,146.83,1743.474,256,224,468.53
cait_s24_384,142.26,3598.927,512,384,47.06
vit_huge_patch14_224,141.6,7231.567,1024,224,632.05
efficientnet_b7,139.66,687.357,96,600,66.35
tf_efficientnet_b7,135.86,706.608,96,600,66.35
tf_efficientnet_b7_ap,135.79,706.955,96,600,66.35
tf_efficientnet_b7_ns,135.74,707.2,96,600,66.35
efficientnetv2_xl,127.77,3005.388,384,512,208.12
tf_efficientnetv2_xl_in21ft1k,127.07,3021.991,384,512,208.12
swin_large_patch4_window12_384,125.28,1021.736,128,384,196.74
resnest269e,123.52,3108.719,384,416,110.93
convnext_xlarge_384_in22ft1k,123.3,1557.136,192,384,350.2
xcit_large_24_p8_224,110.05,4652.475,512,224,188.93
xcit_large_24_p8_224_dist,109.94,4656.907,512,224,188.93
nfnet_f3,109.46,4677.461,512,416,254.92
resnetrs420,108.78,4706.738,512,416,191.89
dm_nfnet_f3,98.93,5175.208,512,416,254.92
swin_v2_cr_large_384,98.1,1304.756,128,384,196.68
resnetv2_152x2_bit_teacher_384,97.22,2633.19,256,384,236.34
cait_s36_384,95.27,5374.225,512,384,68.37
vit_large_patch16_384,94.74,2702.22,256,384,304.72
resnetv2_50x3_bitm,94.62,1352.761,128,448,217.32
vit_giant_patch14_224,92.89,5511.692,512,224,1012.61
xcit_small_24_p8_384_dist,90.84,4227.257,384,384,47.63
ig_resnext101_32x48d,87.18,2202.253,192,224,828.41
efficientnet_b8,83.91,1144.078,96,672,87.41
beit_large_patch16_384,82.64,3097.749,256,384,305.0
tf_efficientnet_b8_ap,82.27,1166.925,96,672,87.41
tf_efficientnet_b8,82.25,1167.133,96,672,87.41
volo_d3_448,72.26,2657.14,192,448,86.63
resnetv2_152x2_bitm,71.6,2681.389,192,448,236.34
xcit_medium_24_p8_384_dist,64.15,3990.849,256,384,84.32
nfnet_f4,60.24,6374.659,384,512,316.07
dm_nfnet_f4,59.09,4332.344,256,512,316.07
resnetv2_101x3_bitm,58.2,2199.411,128,448,387.93
vit_gigantic_patch14_224,56.14,9120.818,512,224,1844.44
volo_d4_448,52.76,2425.859,128,448,193.41
swin_v2_cr_giant_224,49.04,2610.23,128,224,2598.76
tf_efficientnet_l2_ns_475,46.41,1378.993,64,475,480.31
nfnet_f5,44.14,5799.172,256,544,377.21
swin_v2_cr_huge_384,43.59,1468.203,64,384,657.94
dm_nfnet_f5,39.84,6426.216,256,544,377.21
xcit_large_24_p8_384_dist,36.78,5220.859,192,384,188.93
volo_d5_448,36.57,3500.029,128,448,295.91
nfnet_f6,34.59,7401.234,256,576,438.36
beit_large_patch16_512,33.3,2882.954,96,512,305.67
cait_m36_384,31.36,8162.98,256,384,271.22
dm_nfnet_f6,31.17,8214.193,256,576,438.36
nfnet_f7,26.91,9514.003,256,608,499.5
volo_d5_512,25.64,4991.614,128,512,296.09
resnetv2_152x4_bitm,18.58,3444.83,64,480,936.53
efficientnet_l2,16.55,1450.295,24,800,480.31
tf_efficientnet_l2_ns,16.36,1467.093,24,800,480.31
swin_v2_cr_giant_384,13.63,1760.856,24,384,2598.76
cait_m48_448,13.35,9584.614,128,448,356.46
