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Add benchmark and metadata csv files

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more_datasets
Ross Wightman 3 years ago
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results/README.md
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# Validation Results # Validation and Benchmark Results
This folder contains validation results for the models in this collection having pretrained weights. Since the focus for this repository is currently ImageNet-1k classification, all of the results are based on datasets compatible with ImageNet-1k classes. This folder contains validation and benchmark results for the models in this collection. Validation scores are currently only run for models with pretrained weights and ImageNet-1k heads, benchmark numbers are run for all.
## Datasets ## Datasets
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* Source: https://github.com/hendrycks/natural-adv-examples * Source: https://github.com/hendrycks/natural-adv-examples
* Paper: "Natural Adversarial Examples" - https://arxiv.org/abs/1907.07174 * Paper: "Natural Adversarial Examples" - https://arxiv.org/abs/1907.07174
### ImageNet-Rendition - [`results-imagenet-r.csv`](results-imagenet-r.csv) ### ImageNet-Rendition - [`results-imagenet-r.csv`](results-imagenet-r.csv)
Renditions of 200 ImageNet classes resulting in 30,000 images for testing robustness. Renditions of 200 ImageNet classes resulting in 30,000 images for testing robustness.
@ -55,5 +54,14 @@ For clean validation with same 200 classes, see [`results-imagenet-r-clean.csv`]
* Source: https://github.com/hendrycks/imagenet-r * Source: https://github.com/hendrycks/imagenet-r
* Paper: "The Many Faces of Robustness" - https://arxiv.org/abs/2006.16241 * Paper: "The Many Faces of Robustness" - https://arxiv.org/abs/2006.16241
## TODO ### TODO
* Explore adding a reduced version of ImageNet-C (Corruptions) and ImageNet-P (Perturbations) from https://github.com/hendrycks/robustness. The originals are huge and image size specific. * Explore adding a reduced version of ImageNet-C (Corruptions) and ImageNet-P (Perturbations) from https://github.com/hendrycks/robustness. The originals are huge and image size specific.
## Benchmark
CSV files with a `model_benchmark` prefix include benchmark numbers for models on various accelerators with different precision. Currently only run on RTX 3090 w/ AMP for inference, I intend to add more in the future.
## Metadata
CSV files with `model_metadata` prefix contain extra information about the source training, currently the pretraining dataset and technique (ie distillation, SSL, WSL, etc). Eventually I'd like to have metadata about augmentation, regularization, etc. but that will be a challenge to source consistently.

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results/model_benchmark_amp_nchw_rtx3090.csv
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model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
tf_mobilenetv3_small_minimal_100,23813.47,10.741,256,224,0.06,1.41,2.04
tf_mobilenetv3_small_075,20226.39,12.646,256,224,0.05,1.3,2.04
tf_mobilenetv3_small_100,18228.81,14.034,256,224,0.06,1.42,2.54
levit_128s,17210.0,14.865,256,224,0.31,1.88,7.78
regnetx_002,14906.56,17.164,256,224,0.2,2.16,2.68
regnety_002,13464.5,19.003,256,224,0.2,2.17,3.16
levit_128,11979.62,21.36,256,224,0.41,2.71,9.21
levit_192,10405.48,24.593,256,224,0.66,3.2,10.95
gernet_s,10172.35,25.156,256,224,0.75,2.65,8.17
vit_small_patch32_224,9285.97,27.555,256,224,1.15,2.5,22.88
regnetx_004,9188.53,27.851,256,224,0.4,3.14,5.16
tf_mobilenetv3_large_minimal_100,9164.35,27.924,256,224,0.22,4.4,3.92
tf_mobilenetv3_large_075,8667.81,29.525,256,224,0.16,4.0,3.99
mobilenetv3_rw,8631.08,29.65,256,224,0.23,4.41,5.48
vit_tiny_r_s16_p8_224,8546.38,29.942,256,224,0.44,2.06,6.34
mobilenetv3_large_100_miil,8526.13,30.015,256,224,0.23,4.41,5.48
mobilenetv3_large_100,8496.93,30.118,256,224,0.23,4.41,5.48
gluon_resnet18_v1b,8461.63,30.244,256,224,1.82,2.48,11.69
ssl_resnet18,8460.21,30.249,256,224,1.82,2.48,11.69
resnet18,8386.36,30.514,256,224,1.82,2.48,11.69
swsl_resnet18,8382.52,30.528,256,224,1.82,2.48,11.69
ghostnet_100,8276.88,30.92,256,224,0.15,3.55,5.18
levit_256,7773.58,32.922,256,224,1.13,4.23,18.89
legacy_seresnet18,7701.78,33.229,256,224,1.82,2.49,11.78
tf_mobilenetv3_large_100,7680.05,33.323,256,224,0.23,4.41,5.48
regnetx_006,7603.45,33.658,256,224,0.61,3.98,6.2
mobilenetv2_100,7541.65,33.934,256,224,0.31,6.68,3.5
regnety_004,7368.29,34.733,256,224,0.41,3.89,4.34
hardcorenas_a,7264.93,35.227,256,224,0.23,4.38,5.26
hardcorenas_b,7208.11,35.505,256,224,0.26,5.09,5.18
mnasnet_100,7142.85,35.829,256,224,0.33,5.46,4.38
resnet18d,7065.39,36.221,256,224,2.06,3.29,11.71
semnasnet_100,6753.19,37.897,256,224,0.32,6.23,3.89
hardcorenas_c,6746.84,37.933,256,224,0.28,5.01,5.52
spnasnet_100,6739.75,37.973,256,224,0.35,6.03,4.42
regnety_006,6693.6,38.235,256,224,0.61,4.33,6.06
hardcorenas_d,6572.55,38.939,256,224,0.3,4.93,7.5
tf_efficientnetv2_b0,6314.13,40.533,256,224,0.73,4.77,7.14
regnetx_008,6079.04,42.101,256,224,0.81,5.15,7.26
efficientnet_lite0,5804.98,44.09,256,224,0.4,6.74,4.65
dla46_c,5780.94,44.273,256,224,0.58,4.5,1.3
mobilenetv2_110d,5723.57,44.717,256,224,0.45,8.71,4.52
rexnet_100,5717.93,44.761,256,224,0.41,7.44,4.8
hardcorenas_f,5617.23,45.564,256,224,0.35,5.57,8.2
regnety_008,5508.59,46.462,256,224,0.81,5.25,6.26
hardcorenas_e,5410.0,47.31,256,224,0.35,5.65,8.07
fbnetc_100,5329.99,48.02,256,224,0.4,6.51,5.57
skresnet18,5316.12,48.145,256,224,1.82,3.24,11.96
tf_efficientnet_lite0,5240.32,48.842,256,224,0.4,6.74,4.65
mobilenetv2_140,5070.12,50.481,256,224,0.6,9.57,6.11
efficientnet_b0,5059.78,50.585,256,224,0.4,6.75,5.29
ese_vovnet19b_dw,5050.16,50.68,256,224,1.34,8.25,6.54
gluon_resnet34_v1b,4958.52,51.618,256,224,3.67,3.74,21.8
efficientnet_b1_pruned,4954.57,51.658,256,240,0.4,6.21,6.33
tv_resnet34,4937.29,51.84,256,224,3.67,3.74,21.8
resnet34,4928.32,51.933,256,224,3.67,3.74,21.8
hrnet_w18_small,4869.58,52.561,256,224,1.61,5.72,13.19
levit_384,4654.29,54.993,256,224,2.36,6.26,39.13
tf_efficientnet_b0_ap,4650.22,55.039,256,224,0.4,6.75,5.29
tf_efficientnet_b0_ns,4646.91,55.076,256,224,0.4,6.75,5.29
tf_efficientnet_b0,4644.25,55.108,256,224,0.4,6.75,5.29
dla46x_c,4605.94,55.57,256,224,0.54,5.66,1.07
selecsls42b,4570.17,56.005,256,224,2.98,4.62,32.46
deit_tiny_patch16_224,4543.82,56.329,256,224,1.26,5.97,5.72
vit_tiny_patch16_224,4538.07,56.399,256,224,1.26,5.97,5.72
gernet_m,4516.03,56.676,256,224,3.02,5.24,21.14
deit_tiny_distilled_patch16_224,4481.69,57.11,256,224,1.27,6.01,5.91
legacy_seresnet34,4474.42,57.204,256,224,3.67,3.74,21.96
resnet34d,4448.37,57.538,256,224,3.91,4.54,21.82
pit_ti_distilled_224,4332.05,59.084,256,224,0.71,6.23,5.1
pit_ti_224,4322.46,59.215,256,224,0.7,6.19,4.85
dla60x_c,4302.12,59.495,256,224,0.59,6.01,1.32
mixnet_s,4297.51,59.559,256,224,0.25,6.25,4.13
rexnet_130,4236.61,60.415,256,224,0.68,9.71,7.56
tf_efficientnetv2_b1,4231.93,60.481,256,240,1.21,7.34,8.14
xcit_nano_12_p16_224_dist,4191.2,61.067,256,224,0.56,4.17,3.05
xcit_nano_12_p16_224,4188.12,61.112,256,224,0.56,4.17,3.05
resmlp_12_distilled_224,4137.96,61.855,256,224,3.01,5.5,15.35
resmlp_12_224,4137.2,61.867,256,224,3.01,5.5,15.35
resnet26,4135.23,61.895,256,224,2.36,7.35,16.0
vit_base_patch32_sam_224,4111.04,62.261,256,224,4.41,5.01,88.22
mobilenetv2_120d,4108.55,62.299,256,224,0.69,11.97,5.83
vit_base_patch32_224,4102.94,62.384,256,224,4.41,5.01,88.22
tf_mixnet_s,4033.2,63.462,256,224,0.25,6.25,4.13
repvgg_b0,4020.07,63.669,256,224,3.41,6.15,15.82
selecsls60b,3957.1,64.683,256,224,3.63,5.52,32.77
selecsls60,3955.58,64.708,256,224,3.59,5.52,30.67
resnet26d,3771.71,67.862,256,224,2.6,8.15,16.01
dla34,3751.8,68.222,256,224,3.07,5.02,15.74
rexnet_150,3693.73,69.295,256,224,0.9,11.21,9.73
ecaresnet50d_pruned,3635.83,70.4,256,224,2.53,6.43,19.94
tf_efficientnet_lite1,3541.96,72.266,256,240,0.62,10.14,5.42
pit_xs_224,3506.77,72.991,256,224,1.4,7.71,10.62
regnetx_016,3495.21,73.233,256,224,1.62,7.93,9.19
pit_xs_distilled_224,3481.48,73.522,256,224,1.41,7.76,11.0
efficientnet_es_pruned,3365.67,76.052,256,224,1.81,8.73,5.44
efficientnet_es,3358.26,76.219,256,224,1.81,8.73,5.44
efficientnet_b2_pruned,3344.4,76.535,256,260,0.73,9.13,8.31
tf_efficientnet_es,3248.35,78.797,256,224,1.81,8.73,5.44
tf_efficientnetv2_b2,3221.93,79.444,256,260,1.72,9.84,10.1
resnest14d,3200.62,79.966,256,224,2.76,7.33,10.61
gernet_l,3173.09,80.669,256,256,4.57,8.0,31.08
regnety_016,3082.19,83.046,256,224,1.63,8.04,11.2
tf_efficientnet_cc_b0_8e,3079.83,83.109,256,224,0.42,9.42,24.01
tf_efficientnet_cc_b0_4e,3072.34,83.31,256,224,0.41,9.42,13.31
mixnet_m,3041.78,84.15,256,224,0.36,8.19,5.01
skresnet34,3025.8,84.595,256,224,3.67,5.13,22.28
resnext26ts,2999.56,85.335,256,256,2.43,10.52,10.3
repvgg_a2,2997.36,85.397,256,224,5.7,6.26,28.21
legacy_seresnext26_32x4d,2982.2,85.832,256,224,2.49,9.39,16.79
vit_tiny_r_s16_p8_384,2981.27,85.856,256,384,1.34,6.49,6.36
vit_small_patch32_384,2975.01,86.035,256,384,3.45,8.25,22.92
xcit_tiny_12_p16_224_dist,2962.26,86.406,256,224,1.24,6.29,6.72
xcit_tiny_12_p16_224,2958.87,86.506,256,224,1.24,6.29,6.72
resnet26t,2949.15,86.793,256,256,3.35,10.52,16.01
seresnext26ts,2930.19,87.355,256,256,2.43,10.52,10.39
eca_resnext26ts,2927.39,87.439,256,256,2.43,10.52,10.3
tf_mixnet_m,2918.13,87.716,256,224,0.36,8.19,5.01
tf_efficientnet_b1_ap,2909.55,87.973,256,240,0.71,10.88,7.79
tf_efficientnet_b1_ns,2907.96,88.021,256,240,0.71,10.88,7.79
tf_efficientnet_b1,2906.46,88.066,256,240,0.71,10.88,7.79
gcresnext26ts,2860.35,89.489,256,256,2.43,10.53,10.48
ecaresnet101d_pruned,2832.39,90.373,256,224,3.48,7.69,24.88
efficientnet_b1,2816.51,90.881,256,256,0.77,12.22,7.79
seresnext26t_32x4d,2803.22,91.313,256,224,2.7,10.09,16.81
seresnext26d_32x4d,2791.34,91.701,256,224,2.73,10.19,16.81
ecaresnetlight,2748.62,93.127,256,224,4.11,8.42,30.16
tf_efficientnet_lite2,2734.03,93.624,256,260,0.89,12.9,6.09
nf_regnet_b1,2722.26,94.028,256,288,1.02,9.2,10.22
crossvit_tiny_240,2719.71,94.117,256,240,1.57,9.08,7.01
rexnet_200,2697.36,94.896,256,224,1.56,14.91,16.37
resnetv2_50,2678.82,95.552,256,224,4.11,11.11,25.55
crossvit_9_240,2675.71,95.665,256,240,1.85,9.52,8.55
eca_botnext26ts_256,2660.24,96.221,256,256,2.46,11.6,10.59
tresnet_m,2657.69,96.314,256,224,5.74,7.31,31.39
botnet26t_256,2648.39,96.646,256,256,3.32,11.98,12.49
halonet26t,2611.82,98.005,256,256,3.19,11.69,12.48
vgg11,2609.78,98.082,256,224,7.61,7.44,132.86
eca_halonext26ts,2603.27,98.327,256,256,2.44,11.46,10.76
gluon_resnet50_v1b,2595.8,98.61,256,224,4.11,11.11,25.56
ssl_resnet50,2595.55,98.619,256,224,4.11,11.11,25.56
efficientnet_b3_pruned,2594.03,98.677,256,300,1.04,11.86,9.86
tv_resnet50,2591.78,98.763,256,224,4.11,11.11,25.56
crossvit_9_dagger_240,2589.88,98.836,256,240,1.99,9.97,8.78
resnet50,2584.36,99.039,256,224,4.11,11.11,25.56
swsl_resnet50,2581.65,99.146,256,224,4.11,11.11,25.56
convit_tiny,2544.18,100.61,256,224,1.26,7.94,5.71
hrnet_w18_small_v2,2509.11,102.017,256,224,2.62,9.65,15.6
resnet32ts,2503.04,102.263,256,256,4.63,11.58,17.96
bat_resnext26ts,2479.68,103.219,256,256,2.53,12.51,10.73
resnet33ts,2467.72,103.728,256,256,4.76,11.66,19.68
gluon_resnet50_v1c,2464.02,103.884,256,224,4.35,11.92,25.58
ese_vovnet39b,2457.44,104.162,256,224,7.09,6.74,24.57
cspresnet50,2453.31,104.338,256,256,4.54,11.5,21.62
cspresnext50,2451.69,104.407,256,224,3.1,12.14,20.57
gluon_resnet50_v1d,2445.69,104.663,256,224,4.35,11.92,25.58
resnet50d,2441.21,104.85,256,224,4.35,11.92,25.58
dpn68b,2432.24,105.242,256,224,2.35,10.47,12.61
legacy_seresnet50,2426.52,105.49,256,224,3.88,10.6,28.09
dpn68,2406.35,106.374,256,224,2.35,10.47,12.61
eca_resnet33ts,2405.01,106.434,256,256,4.76,11.66,19.68
seresnet33ts,2402.61,106.54,256,256,4.76,11.66,19.78
vgg11_bn,2383.08,107.413,256,224,7.62,7.44,132.87
mixnet_l,2358.59,108.528,256,224,0.58,10.84,7.33
lambda_resnet26t,2358.23,108.545,256,256,3.02,11.87,10.96
gcresnet33ts,2347.52,109.04,256,256,4.76,11.68,19.88
pit_s_224,2332.08,109.763,256,224,2.88,11.56,23.46
dla60,2324.78,110.106,256,224,4.26,10.16,22.04
seresnet50,2316.85,110.484,256,224,4.11,11.13,28.09
resnest26d,2313.67,110.634,256,224,3.64,9.97,17.07
pit_s_distilled_224,2311.97,110.718,256,224,2.9,11.64,24.04
deit_small_patch16_224,2297.25,111.426,256,224,4.61,11.95,22.05
vit_small_patch16_224,2293.15,111.622,256,224,4.61,11.95,22.05
deit_small_distilled_patch16_224,2268.28,112.85,256,224,4.63,12.02,22.44
tf_mixnet_l,2264.19,113.053,256,224,0.58,10.84,7.33
tf_efficientnet_b2_ns,2256.47,113.438,256,260,1.02,13.83,9.11
tf_efficientnet_b2_ap,2256.28,113.446,256,260,1.02,13.83,9.11
tf_efficientnet_b2,2253.15,113.605,256,260,1.02,13.83,9.11
tv_densenet121,2246.15,113.963,256,224,2.87,6.9,7.98
densenet121,2241.22,114.212,256,224,2.87,6.9,7.98
res2net50_48w_2s,2234.19,114.57,256,224,4.18,11.72,25.29
ecaresnet50d,2188.72,116.953,256,224,4.35,11.93,25.58
resnetblur50,2181.37,117.342,256,224,5.16,12.02,25.56
haloregnetz_b,2181.01,117.365,256,224,1.97,11.94,11.68
resnetrs50,2148.74,119.126,256,224,4.48,12.14,35.69
gluon_resnet50_v1s,2124.85,120.469,256,224,5.47,13.52,25.68
visformer_small,2123.42,120.549,256,224,4.88,11.43,40.22
gluon_inception_v3,2118.5,120.829,256,299,5.73,8.97,23.83
regnetx_032,2117.36,120.894,256,224,3.2,11.37,15.3
resmlp_24_distilled_224,2109.62,121.337,256,224,5.96,10.91,30.02
efficientnet_b2,2109.39,121.351,256,288,1.12,16.2,9.11
inception_v3,2109.39,121.351,256,299,5.73,8.97,23.83
resmlp_24_224,2108.77,121.386,256,224,5.96,10.91,30.02
tf_inception_v3,2108.49,121.403,256,299,5.73,8.97,23.83
adv_inception_v3,2107.2,121.474,256,299,5.73,8.97,23.83
efficientnet_em,2078.91,123.131,256,240,3.04,14.34,6.9
densenetblur121d,2047.01,125.05,256,224,3.11,7.9,8.0
tf_efficientnet_em,2016.96,126.911,256,240,3.04,14.34,6.9
ssl_resnext50_32x4d,2014.12,127.092,256,224,4.26,14.4,25.03
tv_resnext50_32x4d,2011.71,127.243,256,224,4.26,14.4,25.03
gluon_resnext50_32x4d,2008.79,127.428,256,224,4.26,14.4,25.03
swsl_resnext50_32x4d,2003.89,127.736,256,224,4.26,14.4,25.03
resnext50_32x4d,2003.33,127.776,256,224,4.26,14.4,25.03
tf_efficientnet_cc_b1_8e,1964.78,130.28,256,240,0.75,15.44,39.72
dla60x,1943.55,131.706,256,224,3.54,13.8,17.35
regnetx_040,1936.18,132.208,256,224,3.99,12.2,22.12
resnext50d_32x4d,1913.78,133.755,256,224,4.5,15.2,25.05
res2net50_26w_4s,1909.57,134.046,256,224,4.28,12.61,25.7
tf_efficientnetv2_b3,1906.95,134.234,256,300,3.04,15.74,14.36
regnety_040,1904.74,134.39,256,224,4.0,12.29,20.65
gcresnet50t,1896.24,134.993,256,256,5.42,14.67,25.9
efficientnetv2_rw_t,1892.3,135.274,256,288,3.19,16.42,13.65
sehalonet33ts,1872.56,136.7,256,256,3.55,14.7,13.69
lambda_resnet26rpt_256,1852.61,138.171,256,256,3.16,11.87,10.99
seresnext50_32x4d,1837.91,139.277,256,224,4.26,14.42,27.56
gcresnext50ts,1836.72,139.369,256,256,3.75,15.46,15.67
dla60_res2net,1835.75,139.44,256,224,4.15,12.34,20.85
gluon_seresnext50_32x4d,1834.84,139.511,256,224,4.26,14.42,27.56
legacy_seresnext50_32x4d,1831.03,139.801,256,224,4.26,14.42,27.56
resnest50d_1s4x24d,1825.82,140.197,256,224,4.43,13.57,25.68
repvgg_b1g4,1816.81,140.887,256,224,8.15,10.64,39.97
densenet169,1814.19,141.099,256,224,3.4,7.3,14.15
gc_efficientnetv2_rw_t,1807.69,141.606,256,288,3.2,16.45,13.68
coat_lite_tiny,1802.74,141.995,256,224,1.6,11.65,5.72
res2net50_14w_8s,1801.06,142.125,256,224,4.21,13.28,25.06
res2next50,1791.13,142.906,256,224,4.2,13.71,24.67
cspdarknet53,1752.54,146.063,256,256,6.57,16.81,27.64
ecaresnet26t,1748.79,146.375,256,320,5.24,16.44,16.01
dla60_res2next,1747.0,146.526,256,224,3.49,13.17,17.03
regnetz_b,1724.41,148.443,256,288,2.39,16.43,9.72
coat_lite_mini,1717.23,149.066,256,224,2.0,12.25,11.01
vgg13,1708.54,149.824,256,224,11.31,12.25,133.05
mixnet_xl,1689.17,151.542,256,224,0.93,14.57,11.9
vit_small_r26_s32_224,1664.97,153.742,256,224,3.56,9.85,36.43
resnetv2_101,1630.91,156.956,256,224,7.83,16.23,44.54
tf_efficientnet_lite3,1624.63,157.563,256,300,1.65,21.85,8.2
gluon_resnet101_v1b,1601.1,159.88,256,224,7.83,16.23,44.55
tv_resnet101,1599.29,160.06,256,224,7.83,16.23,44.55
repvgg_b1,1595.1,160.478,256,224,13.16,10.64,57.42
xcit_tiny_24_p16_224_dist,1586.68,161.331,256,224,2.34,11.82,12.12
xcit_tiny_24_p16_224,1585.43,161.458,256,224,2.34,11.82,12.12
xcit_small_12_p16_224_dist,1555.24,164.59,256,224,4.82,12.58,26.25
xcit_small_12_p16_224,1551.41,164.997,256,224,4.82,12.58,26.25
gluon_resnet101_v1c,1549.68,165.185,256,224,8.08,17.04,44.57
resnest50d,1546.83,165.485,256,224,5.4,14.36,27.48
vgg13_bn,1545.98,165.579,256,224,11.33,12.25,133.05
gluon_resnet101_v1d,1542.35,165.971,256,224,8.08,17.04,44.57
dla102,1540.91,166.124,256,224,7.19,14.18,33.27
twins_svt_small,1527.64,167.568,256,224,2.94,13.75,24.06
wide_resnet50_2,1520.69,168.321,256,224,11.43,14.4,68.88
gmixer_24_224,1499.34,170.73,256,224,5.28,14.45,24.72
resnetv2_50x1_bit_distilled,1491.85,171.586,256,224,4.23,11.11,25.55
regnetx_080,1490.15,171.784,256,224,8.02,14.06,39.57
xcit_nano_12_p16_384_dist,1485.24,172.347,256,384,1.64,12.15,3.05
crossvit_small_240,1471.27,173.987,256,240,5.63,18.17,26.86
legacy_seresnet101,1468.28,174.342,256,224,7.61,15.74,49.33
halonet50ts,1455.95,175.819,256,256,5.3,19.2,22.73
res2net50_26w_6s,1449.56,176.589,256,224,6.33,15.28,37.05
regnetx_064,1419.83,180.292,256,224,6.49,16.37,26.21
densenet201,1416.48,180.718,256,224,4.34,7.85,20.01
resmlp_36_224,1415.51,180.84,256,224,8.91,16.33,44.69
resmlp_36_distilled_224,1415.35,180.86,256,224,8.91,16.33,44.69
gluon_resnet101_v1s,1409.69,181.589,256,224,9.19,18.64,44.67
nf_resnet50,1387.87,184.443,256,288,6.88,18.37,25.56
ecaresnet101d,1376.05,186.03,256,224,8.08,17.07,44.57
vgg16,1375.43,186.112,256,224,15.47,13.56,138.36
hrnet_w18,1354.53,188.983,256,224,4.32,16.31,21.3
regnety_032,1350.9,189.492,256,288,5.29,18.61,19.44
crossvit_15_240,1346.42,190.123,256,240,5.81,19.77,27.53
tresnet_l,1344.95,190.33,256,224,10.88,11.9,55.99
gmlp_s16_224,1341.95,190.757,256,224,4.42,15.1,19.42
tf_efficientnet_b3_ap,1337.77,191.35,256,300,1.87,23.83,12.23
tf_efficientnet_b3_ns,1337.21,191.429,256,300,1.87,23.83,12.23
tf_efficientnet_b3,1336.96,191.464,256,300,1.87,23.83,12.23
resnet51q,1335.36,191.695,256,288,8.07,20.94,35.7
vit_base_patch32_384,1326.76,192.939,256,384,13.06,16.5,88.3
xception,1314.05,194.804,256,299,8.4,35.83,22.86
crossvit_15_dagger_240,1305.29,196.113,256,240,6.13,20.43,28.21
dla102x,1302.51,196.531,256,224,5.89,19.42,26.31
efficientnet_b3,1297.94,197.224,256,320,2.01,26.52,12.23
mixer_b16_224,1285.59,199.119,256,224,12.62,14.53,59.88
mixer_b16_224_miil,1283.81,199.396,256,224,12.62,14.53,59.88
cait_xxs24_224,1283.41,199.457,256,224,2.53,20.29,11.96
skresnext50_32x4d,1277.72,200.346,256,224,4.5,17.18,27.48
regnety_064,1270.37,201.504,256,224,6.39,16.41,30.58
ssl_resnext101_32x4d,1267.29,201.994,256,224,8.01,21.23,44.18
gluon_resnext101_32x4d,1262.61,202.744,256,224,8.01,21.23,44.18
swsl_resnext101_32x4d,1261.41,202.934,256,224,8.01,21.23,44.18
vgg16_bn,1259.82,203.192,256,224,15.5,13.56,138.37
repvgg_b2g4,1250.78,204.659,256,224,12.63,12.9,61.76
swin_tiny_patch4_window7_224,1247.03,205.273,256,224,4.51,17.06,28.29
twins_pcpvt_small,1237.18,206.911,256,224,3.83,18.08,24.11
regnety_080,1231.05,207.941,256,224,8.0,17.97,39.18
resnest50d_4s2x40d,1214.34,210.797,256,224,4.4,17.94,30.42
resnet61q,1207.53,211.987,256,288,9.87,21.52,36.85
eca_nfnet_l0,1191.71,214.805,256,288,7.12,17.29,24.14
nfnet_l0,1190.26,215.067,256,288,7.13,17.29,35.07
res2net101_26w_4s,1183.89,216.22,256,224,8.1,18.45,45.21
dpn92,1178.74,217.169,256,224,6.54,18.21,37.67
res2net50_26w_8s,1178.7,217.174,256,224,8.37,17.95,48.4
vit_tiny_patch16_384,1172.78,218.271,256,384,4.7,25.39,5.79
convit_small,1169.52,218.881,256,224,5.76,17.87,27.78
vgg19,1152.13,222.185,256,224,19.63,14.86,143.67
gluon_seresnext101_32x4d,1150.11,222.576,256,224,8.02,21.26,48.96
legacy_seresnext101_32x4d,1149.76,222.644,256,224,8.02,21.26,48.96
hrnet_w32,1142.24,224.109,256,224,8.97,22.02,41.23
xcit_nano_12_p8_224,1127.98,226.94,256,224,2.16,15.71,3.05
xcit_nano_12_p8_224_dist,1127.81,226.974,256,224,2.16,15.71,3.05
hrnet_w30,1123.84,227.778,256,224,8.15,21.21,37.71
tv_resnet152,1116.24,229.331,256,224,11.56,22.56,60.19
gluon_resnet152_v1b,1115.71,229.44,256,224,11.56,22.56,60.19
ecaresnet50t,1110.54,230.506,256,320,8.82,24.13,25.57
regnetz_c,1099.38,232.841,256,320,3.92,25.88,13.46
gluon_resnet152_v1c,1090.66,234.708,256,224,11.8,23.36,60.21
gluon_resnet152_v1d,1087.27,235.441,256,224,11.8,23.36,60.21
repvgg_b2,1087.24,235.444,256,224,20.45,12.9,89.02
xception41,1068.11,239.655,256,299,9.28,39.86,26.97
densenet161,1067.45,239.812,256,224,7.79,11.06,28.68
vgg19_bn,1061.8,241.089,256,224,19.66,14.86,143.68
inception_v4,1057.29,242.117,256,299,12.28,15.09,42.68
convmixer_1024_20_ks9_p14,1048.55,244.135,256,224,5.55,5.51,24.38
dla169,1043.9,245.223,256,224,11.6,20.2,53.39
xcit_tiny_12_p16_384_dist,1041.14,245.869,256,384,3.64,18.26,6.72
regnetx_120,1028.54,248.883,256,224,12.13,21.37,46.11
gluon_resnet152_v1s,1019.74,251.033,256,224,12.92,24.96,60.32
coat_lite_small,1019.01,251.211,256,224,3.96,22.09,19.84
vit_base_patch16_224_miil,1015.29,252.134,256,224,17.58,23.9,86.54
legacy_seresnet152,1014.16,252.414,256,224,11.33,22.08,66.82
repvgg_b3g4,1009.72,253.523,256,224,17.89,15.1,83.83
jx_nest_tiny,1009.0,253.705,256,224,5.83,25.48,17.06
crossvit_18_240,995.7,257.092,256,240,9.05,26.26,43.27
vit_base_patch16_224,987.74,259.165,256,224,17.58,23.9,86.57
vit_base_patch16_sam_224,983.41,260.307,256,224,17.58,23.9,86.57
tresnet_xl,983.24,260.352,256,224,15.17,15.34,78.44
deit_base_patch16_224,981.95,260.694,256,224,17.58,23.9,86.57
regnety_120,981.03,260.937,256,224,12.14,21.38,51.82
deit_base_distilled_patch16_224,972.1,263.335,256,224,17.68,24.05,87.34
crossvit_18_dagger_240,968.8,264.234,256,240,9.5,27.03,44.27
efficientnet_el_pruned,927.76,275.921,256,300,8.0,30.7,10.59
efficientnet_el,927.59,275.971,256,300,8.0,30.7,10.59
tf_efficientnet_el,908.45,281.783,256,300,8.0,30.7,10.59
beit_base_patch16_224,907.03,282.225,256,224,17.58,23.9,86.53
dm_nfnet_f0,906.74,282.318,256,256,12.62,18.05,71.49
beit_base_patch16_224_in22k,904.43,283.033,256,224,17.6,23.92,102.56
twins_pcpvt_base,903.59,283.303,256,224,6.68,25.25,43.83
dla102x2,892.39,286.858,256,224,9.34,29.91,41.28
twins_svt_base,884.1,289.548,256,224,8.59,26.33,56.07
wide_resnet101_2,879.83,290.95,256,224,22.8,21.23,126.89
tf_efficientnetv2_s_in21ft1k,867.65,295.037,256,384,8.44,35.77,21.46
tf_efficientnetv2_s,866.61,295.392,256,384,8.44,35.77,21.46
cait_xxs36_224,864.05,296.268,256,224,3.77,30.34,17.3
resnetrs101,850.72,300.905,256,288,13.56,28.53,63.62
repvgg_b3,845.91,302.619,256,224,29.16,15.1,123.09
efficientnetv2_rw_s,844.69,303.059,256,384,8.72,38.03,23.94
dpn98,840.2,304.675,256,224,11.73,25.2,61.57
pit_b_distilled_224,838.63,305.249,256,224,12.5,33.07,74.79
pit_b_224,837.02,305.836,256,224,12.42,32.94,73.76
ens_adv_inception_resnet_v2,834.35,306.814,256,299,13.18,25.06,55.84
regnetx_160,833.02,307.301,256,224,15.99,25.52,54.28
inception_resnet_v2,832.69,307.427,256,299,13.18,25.06,55.84
xcit_small_24_p16_224_dist,830.32,308.297,256,224,9.1,23.64,47.67
xcit_small_24_p16_224,828.74,308.886,256,224,9.1,23.64,47.67
swin_small_patch4_window7_224,809.9,316.074,256,224,8.77,27.47,49.61
gluon_resnext101_64x4d,803.65,318.536,256,224,15.52,31.21,83.46
xcit_tiny_12_p8_224_dist,791.87,323.27,256,224,4.81,23.6,6.71
xcit_tiny_12_p8_224,791.64,323.364,256,224,4.81,23.6,6.71
gluon_xception65,784.11,326.474,256,299,13.96,52.48,39.92
xception65,777.91,329.074,256,299,13.96,52.48,39.92
resnet101d,776.37,329.723,256,320,16.48,34.77,44.57
ig_resnext101_32x8d,775.21,330.222,256,224,16.48,31.21,88.79
swsl_resnext101_32x8d,773.83,330.808,256,224,16.48,31.21,88.79
resnext101_32x8d,773.08,331.13,256,224,16.48,31.21,88.79
ssl_resnext101_32x8d,769.28,332.765,256,224,16.48,31.21,88.79
tf_efficientnet_lite4,764.13,335.01,256,380,4.04,45.66,13.01
hrnet_w40,760.18,336.752,256,224,12.75,25.29,57.56
gluon_seresnext101_64x4d,756.43,338.418,256,224,15.53,31.25,88.23
resnest101e,755.07,339.024,256,256,13.38,28.66,48.28
hrnet_w48,716.4,357.329,256,224,17.34,28.56,77.47
cait_s24_224,714.86,358.098,256,224,9.35,40.58,46.92
tresnet_m_448,713.55,358.758,256,448,22.94,29.21,31.39
coat_tiny,707.04,362.062,256,224,4.35,27.2,5.5
regnetz_d,704.94,363.138,256,320,9.33,37.08,27.58
hrnet_w44,702.53,364.385,256,224,14.94,26.92,67.06
vit_large_r50_s32_224,680.11,376.394,256,224,19.58,24.41,328.99
jx_nest_small,676.97,378.142,256,224,10.35,40.04,38.35
twins_svt_large,673.22,380.252,256,224,15.15,35.1,99.27
crossvit_base_240,671.16,381.416,256,240,21.22,36.33,105.03
efficientnet_b4,667.18,383.692,256,384,4.51,50.04,19.34
twins_pcpvt_large,657.69,389.226,256,224,9.84,35.82,60.99
tf_efficientnet_b4,637.24,401.719,256,380,4.49,49.49,19.34
tf_efficientnet_b4_ap,636.68,402.068,256,380,4.49,49.49,19.34
tf_efficientnet_b4_ns,636.62,402.109,256,380,4.49,49.49,19.34
convit_base,621.76,411.725,256,224,17.52,31.77,86.54
dpn131,619.15,413.454,256,224,16.09,32.97,79.25
swin_base_patch4_window7_224,617.4,414.625,256,224,15.47,36.63,87.77
swin_base_patch4_window7_224_in22k,616.51,415.228,256,224,15.49,36.65,109.13
xcit_medium_24_p16_224_dist,613.3,417.401,256,224,16.13,31.71,84.4
xcit_medium_24_p16_224,612.89,417.675,256,224,16.13,31.71,84.4
vit_small_patch16_384,594.17,430.838,256,384,15.52,50.78,22.2
coat_mini,592.46,432.084,256,224,6.82,33.68,10.34
xception71,590.14,433.78,256,299,18.09,69.92,42.34
vit_small_r26_s32_384,574.75,445.396,256,384,10.43,29.85,36.47
hrnet_w64,570.22,448.937,256,224,28.97,35.09,128.06
dpn107,566.19,452.128,256,224,18.38,33.46,86.92
eca_nfnet_l1,559.71,457.367,256,320,14.92,34.42,41.41
gluon_senet154,559.51,457.529,256,224,20.77,38.69,115.09
legacy_senet154,558.72,458.178,256,224,20.77,38.69,115.09
xcit_tiny_24_p16_384_dist,556.09,460.342,256,384,6.87,34.29,12.12
xcit_small_12_p16_384_dist,546.87,468.099,256,384,14.14,36.51,26.25
resnet152d,546.29,468.597,256,320,24.08,47.67,60.21
regnety_320,522.26,490.163,256,224,32.34,30.26,145.05
jx_nest_base,511.39,500.584,256,224,17.96,53.39,67.72
regnety_160,509.43,502.501,256,288,26.37,38.07,83.59
tnt_s_patch16_224,497.77,514.282,256,224,5.24,24.37,23.76
seresnet152d,489.63,522.829,256,320,24.09,47.72,66.84
resnetrs152,483.98,528.928,256,320,24.34,48.14,86.62
regnetx_320,460.34,556.1,256,224,31.81,36.3,107.81
vit_large_patch32_384,457.67,559.348,256,384,45.31,43.86,306.63
mixer_l16_224,429.82,595.582,256,224,44.6,41.69,208.2
xcit_tiny_24_p8_224,417.75,612.797,256,224,9.21,45.39,12.11
xcit_tiny_24_p8_224_dist,417.56,613.068,256,224,9.21,45.39,12.11
xcit_small_12_p8_224,416.17,615.111,256,224,18.69,47.21,26.21
xcit_small_12_p8_224_dist,415.93,615.473,256,224,18.69,47.21,26.21
efficientnetv2_rw_m,404.25,633.263,256,416,21.49,79.62,53.24
resnet200d,391.43,653.991,256,320,31.25,67.33,64.69
resnetv2_50x1_bitm,388.67,658.636,256,448,16.62,44.46,25.55
xcit_nano_12_p8_384_dist,387.79,660.138,256,384,6.34,46.08,3.05
swin_large_patch4_window7_224,385.11,664.722,256,224,34.53,54.94,196.53
swin_large_patch4_window7_224_in22k,384.77,665.318,256,224,34.56,54.96,228.57
xcit_large_24_p16_224,374.96,682.722,256,224,35.86,47.27,189.1
xcit_large_24_p16_224_dist,374.65,683.281,256,224,35.86,47.27,189.1
ssl_resnext101_32x16d,366.28,698.897,256,224,36.27,51.18,194.03
ig_resnext101_32x16d,365.74,699.945,256,224,36.27,51.18,194.03
swsl_resnext101_32x16d,365.46,700.478,256,224,36.27,51.18,194.03
tresnet_l_448,350.13,731.146,256,448,43.5,47.56,55.99
resnetrs200,346.06,739.735,256,320,31.51,67.81,93.21
tf_efficientnetv2_m,339.58,753.868,256,480,24.76,89.84,54.14
tf_efficientnetv2_m_in21ft1k,339.57,753.879,256,480,24.76,89.84,54.14
vit_large_patch16_224,332.37,770.202,256,224,61.6,63.52,304.33
dm_nfnet_f1,329.67,776.526,256,320,35.97,46.77,132.63
tf_efficientnet_b5,319.74,800.623,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ap,319.51,801.207,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ns,319.48,801.287,256,456,10.46,98.86,30.39
crossvit_15_dagger_408,308.22,830.557,256,408,21.45,95.05,28.5
beit_large_patch16_224,304.41,840.964,256,224,61.6,63.52,304.43
beit_large_patch16_224_in22k,303.89,842.402,256,224,61.62,63.54,325.79
xcit_small_24_p16_384_dist,291.33,878.717,256,384,26.72,68.58,47.67
convmixer_768_32,284.41,900.105,256,224,19.55,25.95,21.11
eca_nfnet_l2,277.7,921.837,256,384,30.05,68.28,56.72
resnetv2_152x2_bit_teacher,272.08,940.888,256,224,46.95,45.11,236.34
xcit_tiny_12_p8_384_dist,271.29,943.618,256,384,14.13,69.14,6.71
tresnet_xl_448,265.72,963.421,256,448,60.65,61.31,78.44
vit_base_patch16_384,260.82,981.51,256,384,55.54,101.56,86.86
deit_base_patch16_384,260.27,983.563,256,384,55.54,101.56,86.86
resnest200e,257.06,995.856,256,320,35.69,82.78,70.2
deit_base_distilled_patch16_384,256.78,996.936,256,384,55.65,101.82,87.63
resnetv2_101x1_bitm,243.19,1052.661,256,448,31.65,64.93,44.54
cait_xxs24_384,238.44,1073.626,256,384,9.63,122.66,12.03
ecaresnet269d,229.27,1116.568,256,352,50.25,101.25,102.09
crossvit_18_dagger_408,229.17,558.535,128,408,32.47,124.87,44.61
vit_large_r50_s32_384,229.1,1117.419,256,384,57.43,76.52,329.09
nasnetalarge,226.47,1130.365,256,331,23.89,90.56,88.75
pnasnet5large,225.65,1134.478,256,331,25.04,92.89,86.06
beit_base_patch16_384,223.91,1143.322,256,384,55.54,101.56,86.74
resnetrs270,222.05,1152.857,256,352,51.13,105.48,129.86
xcit_small_24_p8_224,218.32,1172.571,256,224,35.81,90.78,47.63
xcit_small_24_p8_224_dist,218.2,1173.193,256,224,35.81,90.78,47.63
xcit_medium_24_p16_384_dist,212.67,1203.725,256,384,47.39,91.64,84.4
resmlp_big_24_224,199.99,1280.033,256,224,100.23,87.31,129.14
resmlp_big_24_224_in22ft1k,199.55,1282.862,256,224,100.23,87.31,129.14
resmlp_big_24_distilled_224,199.5,1283.208,256,224,100.23,87.31,129.14
tf_efficientnetv2_l,196.16,1305.054,256,480,56.4,157.99,118.52
tf_efficientnetv2_l_in21ft1k,195.97,1306.333,256,480,56.4,157.99,118.52
dm_nfnet_f2,187.32,1366.603,256,352,63.22,79.06,193.78
tf_efficientnet_b6_ns,184.64,693.239,128,528,19.4,167.39,43.04
tf_efficientnet_b6_ap,184.63,693.254,128,528,19.4,167.39,43.04
tf_efficientnet_b6,184.56,693.543,128,528,19.4,167.39,43.04
swin_base_patch4_window12_384,172.29,742.9,128,384,47.19,134.78,87.9
swin_base_patch4_window12_384_in22k,172.09,743.782,128,384,47.21,134.8,109.27
cait_xs24_384,168.76,1516.911,256,384,19.28,183.98,26.67
vit_base_r50_s16_384,164.61,1555.149,256,384,67.43,135.03,98.95
convmixer_1536_20,163.58,1564.936,256,224,48.68,33.03,51.63
cait_xxs36_384,159.38,1606.206,256,384,14.35,183.7,17.37
xcit_medium_24_p8_224,158.47,1615.434,256,224,63.53,121.23,84.32
xcit_medium_24_p8_224_dist,158.47,1615.404,256,224,63.53,121.23,84.32
resnetrs350,147.45,1736.143,256,384,77.59,154.74,163.96
ig_resnext101_32x32d,144.94,1766.221,256,224,87.29,91.12,468.53
xcit_tiny_24_p8_384_dist,140.02,1828.249,256,384,27.05,132.95,12.11
xcit_small_12_p8_384_dist,138.32,1850.769,256,384,54.92,138.29,26.21
cait_s24_384,130.37,1963.692,256,384,32.17,245.31,47.06
xcit_large_24_p16_384_dist,128.67,1989.551,256,384,105.35,137.17,189.1
tf_efficientnetv2_xl_in21ft1k,125.28,2043.358,256,512,93.85,247.32,208.12
resnest269e,119.95,2134.143,256,416,77.69,171.98,110.93
swin_large_patch4_window12_384,108.71,1177.454,128,384,104.08,202.16,196.74
swin_large_patch4_window12_384_in22k,108.63,1178.305,128,384,104.11,202.18,228.77
resnetrs420,107.0,2392.495,256,416,108.45,213.79,191.89
tf_efficientnet_b7_ns,106.07,603.375,64,600,38.33,289.94,66.35
tf_efficientnet_b7_ap,105.98,603.889,64,600,38.33,289.94,66.35
tf_efficientnet_b7,105.95,604.03,64,600,38.33,289.94,66.35
dm_nfnet_f3,102.63,2494.386,256,416,115.58,141.78,254.92
xcit_large_24_p8_224,95.99,2666.968,256,224,141.23,181.56,188.93
xcit_large_24_p8_224_dist,95.77,2673.153,256,224,141.23,181.56,188.93
resnetv2_152x2_bit_teacher_384,94.95,2696.08,256,384,136.16,132.56,236.34
resnetv2_50x3_bitm,93.71,1365.901,128,448,145.7,133.37,217.32
vit_large_patch16_384,89.71,2853.476,256,384,191.21,270.24,304.72
cait_s36_384,87.22,2935.166,256,384,47.99,367.4,68.37
ig_resnext101_32x48d,85.91,1489.933,128,224,153.57,131.06,828.41
beit_large_patch16_384,77.75,3292.734,256,384,191.21,270.24,305.0
xcit_small_24_p8_384_dist,72.45,3533.673,256,384,105.24,265.91,47.63
resnetv2_152x2_bitm,69.73,1835.714,128,448,184.99,180.43,236.34
tf_efficientnet_b8,66.92,956.333,64,672,63.48,442.89,87.41
tf_efficientnet_b8_ap,66.91,956.434,64,672,63.48,442.89,87.41
dm_nfnet_f4,57.01,4490.519,256,512,216.26,262.26,316.07
resnetv2_101x3_bitm,56.17,2278.772,128,448,280.33,194.78,387.93
xcit_medium_24_p8_384_dist,53.81,4757.31,256,384,186.67,354.73,84.32
dm_nfnet_f5,41.46,6174.452,256,544,290.97,349.71,377.21
tf_efficientnet_l2_ns_475,38.52,1661.585,64,475,172.11,609.89,480.31
xcit_large_24_p8_384_dist,32.44,7891.525,256,384,415.0,531.82,188.93
beit_large_patch16_512,31.38,2039.285,64,512,362.24,656.39,305.67
cait_m36_384,30.16,8488.214,256,384,173.11,734.81,271.22
dm_nfnet_f6,30.03,8525.766,256,576,378.69,452.2,438.36
resnetv2_152x4_bitm,18.21,3515.177,64,480,844.84,414.26,936.53
tf_efficientnet_l2_ns,13.56,1770.059,24,800,479.12,1707.39,480.31
cait_m48_448,13.08,9784.533,128,448,329.41,1708.23,356.46
1 model infer_samples_per_sec infer_step_time infer_batch_size infer_img_size infer_gmacs infer_macts param_count
2 tf_mobilenetv3_small_minimal_100 23813.47 10.741 256 224 0.06 1.41 2.04
3 tf_mobilenetv3_small_075 20226.39 12.646 256 224 0.05 1.3 2.04
4 tf_mobilenetv3_small_100 18228.81 14.034 256 224 0.06 1.42 2.54
5 levit_128s 17210.0 14.865 256 224 0.31 1.88 7.78
6 regnetx_002 14906.56 17.164 256 224 0.2 2.16 2.68
7 regnety_002 13464.5 19.003 256 224 0.2 2.17 3.16
8 levit_128 11979.62 21.36 256 224 0.41 2.71 9.21
9 levit_192 10405.48 24.593 256 224 0.66 3.2 10.95
10 gernet_s 10172.35 25.156 256 224 0.75 2.65 8.17
11 vit_small_patch32_224 9285.97 27.555 256 224 1.15 2.5 22.88
12 regnetx_004 9188.53 27.851 256 224 0.4 3.14 5.16
13 tf_mobilenetv3_large_minimal_100 9164.35 27.924 256 224 0.22 4.4 3.92
14 tf_mobilenetv3_large_075 8667.81 29.525 256 224 0.16 4.0 3.99
15 mobilenetv3_rw 8631.08 29.65 256 224 0.23 4.41 5.48
16 vit_tiny_r_s16_p8_224 8546.38 29.942 256 224 0.44 2.06 6.34
17 mobilenetv3_large_100_miil 8526.13 30.015 256 224 0.23 4.41 5.48
18 mobilenetv3_large_100 8496.93 30.118 256 224 0.23 4.41 5.48
19 gluon_resnet18_v1b 8461.63 30.244 256 224 1.82 2.48 11.69
20 ssl_resnet18 8460.21 30.249 256 224 1.82 2.48 11.69
21 resnet18 8386.36 30.514 256 224 1.82 2.48 11.69
22 swsl_resnet18 8382.52 30.528 256 224 1.82 2.48 11.69
23 ghostnet_100 8276.88 30.92 256 224 0.15 3.55 5.18
24 levit_256 7773.58 32.922 256 224 1.13 4.23 18.89
25 legacy_seresnet18 7701.78 33.229 256 224 1.82 2.49 11.78
26 tf_mobilenetv3_large_100 7680.05 33.323 256 224 0.23 4.41 5.48
27 regnetx_006 7603.45 33.658 256 224 0.61 3.98 6.2
28 mobilenetv2_100 7541.65 33.934 256 224 0.31 6.68 3.5
29 regnety_004 7368.29 34.733 256 224 0.41 3.89 4.34
30 hardcorenas_a 7264.93 35.227 256 224 0.23 4.38 5.26
31 hardcorenas_b 7208.11 35.505 256 224 0.26 5.09 5.18
32 mnasnet_100 7142.85 35.829 256 224 0.33 5.46 4.38
33 resnet18d 7065.39 36.221 256 224 2.06 3.29 11.71
34 semnasnet_100 6753.19 37.897 256 224 0.32 6.23 3.89
35 hardcorenas_c 6746.84 37.933 256 224 0.28 5.01 5.52
36 spnasnet_100 6739.75 37.973 256 224 0.35 6.03 4.42
37 regnety_006 6693.6 38.235 256 224 0.61 4.33 6.06
38 hardcorenas_d 6572.55 38.939 256 224 0.3 4.93 7.5
39 tf_efficientnetv2_b0 6314.13 40.533 256 224 0.73 4.77 7.14
40 regnetx_008 6079.04 42.101 256 224 0.81 5.15 7.26
41 efficientnet_lite0 5804.98 44.09 256 224 0.4 6.74 4.65
42 dla46_c 5780.94 44.273 256 224 0.58 4.5 1.3
43 mobilenetv2_110d 5723.57 44.717 256 224 0.45 8.71 4.52
44 rexnet_100 5717.93 44.761 256 224 0.41 7.44 4.8
45 hardcorenas_f 5617.23 45.564 256 224 0.35 5.57 8.2
46 regnety_008 5508.59 46.462 256 224 0.81 5.25 6.26
47 hardcorenas_e 5410.0 47.31 256 224 0.35 5.65 8.07
48 fbnetc_100 5329.99 48.02 256 224 0.4 6.51 5.57
49 skresnet18 5316.12 48.145 256 224 1.82 3.24 11.96
50 tf_efficientnet_lite0 5240.32 48.842 256 224 0.4 6.74 4.65
51 mobilenetv2_140 5070.12 50.481 256 224 0.6 9.57 6.11
52 efficientnet_b0 5059.78 50.585 256 224 0.4 6.75 5.29
53 ese_vovnet19b_dw 5050.16 50.68 256 224 1.34 8.25 6.54
54 gluon_resnet34_v1b 4958.52 51.618 256 224 3.67 3.74 21.8
55 efficientnet_b1_pruned 4954.57 51.658 256 240 0.4 6.21 6.33
56 tv_resnet34 4937.29 51.84 256 224 3.67 3.74 21.8
57 resnet34 4928.32 51.933 256 224 3.67 3.74 21.8
58 hrnet_w18_small 4869.58 52.561 256 224 1.61 5.72 13.19
59 levit_384 4654.29 54.993 256 224 2.36 6.26 39.13
60 tf_efficientnet_b0_ap 4650.22 55.039 256 224 0.4 6.75 5.29
61 tf_efficientnet_b0_ns 4646.91 55.076 256 224 0.4 6.75 5.29
62 tf_efficientnet_b0 4644.25 55.108 256 224 0.4 6.75 5.29
63 dla46x_c 4605.94 55.57 256 224 0.54 5.66 1.07
64 selecsls42b 4570.17 56.005 256 224 2.98 4.62 32.46
65 deit_tiny_patch16_224 4543.82 56.329 256 224 1.26 5.97 5.72
66 vit_tiny_patch16_224 4538.07 56.399 256 224 1.26 5.97 5.72
67 gernet_m 4516.03 56.676 256 224 3.02 5.24 21.14
68 deit_tiny_distilled_patch16_224 4481.69 57.11 256 224 1.27 6.01 5.91
69 legacy_seresnet34 4474.42 57.204 256 224 3.67 3.74 21.96
70 resnet34d 4448.37 57.538 256 224 3.91 4.54 21.82
71 pit_ti_distilled_224 4332.05 59.084 256 224 0.71 6.23 5.1
72 pit_ti_224 4322.46 59.215 256 224 0.7 6.19 4.85
73 dla60x_c 4302.12 59.495 256 224 0.59 6.01 1.32
74 mixnet_s 4297.51 59.559 256 224 0.25 6.25 4.13
75 rexnet_130 4236.61 60.415 256 224 0.68 9.71 7.56
76 tf_efficientnetv2_b1 4231.93 60.481 256 240 1.21 7.34 8.14
77 xcit_nano_12_p16_224_dist 4191.2 61.067 256 224 0.56 4.17 3.05
78 xcit_nano_12_p16_224 4188.12 61.112 256 224 0.56 4.17 3.05
79 resmlp_12_distilled_224 4137.96 61.855 256 224 3.01 5.5 15.35
80 resmlp_12_224 4137.2 61.867 256 224 3.01 5.5 15.35
81 resnet26 4135.23 61.895 256 224 2.36 7.35 16.0
82 vit_base_patch32_sam_224 4111.04 62.261 256 224 4.41 5.01 88.22
83 mobilenetv2_120d 4108.55 62.299 256 224 0.69 11.97 5.83
84 vit_base_patch32_224 4102.94 62.384 256 224 4.41 5.01 88.22
85 tf_mixnet_s 4033.2 63.462 256 224 0.25 6.25 4.13
86 repvgg_b0 4020.07 63.669 256 224 3.41 6.15 15.82
87 selecsls60b 3957.1 64.683 256 224 3.63 5.52 32.77
88 selecsls60 3955.58 64.708 256 224 3.59 5.52 30.67
89 resnet26d 3771.71 67.862 256 224 2.6 8.15 16.01
90 dla34 3751.8 68.222 256 224 3.07 5.02 15.74
91 rexnet_150 3693.73 69.295 256 224 0.9 11.21 9.73
92 ecaresnet50d_pruned 3635.83 70.4 256 224 2.53 6.43 19.94
93 tf_efficientnet_lite1 3541.96 72.266 256 240 0.62 10.14 5.42
94 pit_xs_224 3506.77 72.991 256 224 1.4 7.71 10.62
95 regnetx_016 3495.21 73.233 256 224 1.62 7.93 9.19
96 pit_xs_distilled_224 3481.48 73.522 256 224 1.41 7.76 11.0
97 efficientnet_es_pruned 3365.67 76.052 256 224 1.81 8.73 5.44
98 efficientnet_es 3358.26 76.219 256 224 1.81 8.73 5.44
99 efficientnet_b2_pruned 3344.4 76.535 256 260 0.73 9.13 8.31
100 tf_efficientnet_es 3248.35 78.797 256 224 1.81 8.73 5.44
101 tf_efficientnetv2_b2 3221.93 79.444 256 260 1.72 9.84 10.1
102 resnest14d 3200.62 79.966 256 224 2.76 7.33 10.61
103 gernet_l 3173.09 80.669 256 256 4.57 8.0 31.08
104 regnety_016 3082.19 83.046 256 224 1.63 8.04 11.2
105 tf_efficientnet_cc_b0_8e 3079.83 83.109 256 224 0.42 9.42 24.01
106 tf_efficientnet_cc_b0_4e 3072.34 83.31 256 224 0.41 9.42 13.31
107 mixnet_m 3041.78 84.15 256 224 0.36 8.19 5.01
108 skresnet34 3025.8 84.595 256 224 3.67 5.13 22.28
109 resnext26ts 2999.56 85.335 256 256 2.43 10.52 10.3
110 repvgg_a2 2997.36 85.397 256 224 5.7 6.26 28.21
111 legacy_seresnext26_32x4d 2982.2 85.832 256 224 2.49 9.39 16.79
112 vit_tiny_r_s16_p8_384 2981.27 85.856 256 384 1.34 6.49 6.36
113 vit_small_patch32_384 2975.01 86.035 256 384 3.45 8.25 22.92
114 xcit_tiny_12_p16_224_dist 2962.26 86.406 256 224 1.24 6.29 6.72
115 xcit_tiny_12_p16_224 2958.87 86.506 256 224 1.24 6.29 6.72
116 resnet26t 2949.15 86.793 256 256 3.35 10.52 16.01
117 seresnext26ts 2930.19 87.355 256 256 2.43 10.52 10.39
118 eca_resnext26ts 2927.39 87.439 256 256 2.43 10.52 10.3
119 tf_mixnet_m 2918.13 87.716 256 224 0.36 8.19 5.01
120 tf_efficientnet_b1_ap 2909.55 87.973 256 240 0.71 10.88 7.79
121 tf_efficientnet_b1_ns 2907.96 88.021 256 240 0.71 10.88 7.79
122 tf_efficientnet_b1 2906.46 88.066 256 240 0.71 10.88 7.79
123 gcresnext26ts 2860.35 89.489 256 256 2.43 10.53 10.48
124 ecaresnet101d_pruned 2832.39 90.373 256 224 3.48 7.69 24.88
125 efficientnet_b1 2816.51 90.881 256 256 0.77 12.22 7.79
126 seresnext26t_32x4d 2803.22 91.313 256 224 2.7 10.09 16.81
127 seresnext26d_32x4d 2791.34 91.701 256 224 2.73 10.19 16.81
128 ecaresnetlight 2748.62 93.127 256 224 4.11 8.42 30.16
129 tf_efficientnet_lite2 2734.03 93.624 256 260 0.89 12.9 6.09
130 nf_regnet_b1 2722.26 94.028 256 288 1.02 9.2 10.22
131 crossvit_tiny_240 2719.71 94.117 256 240 1.57 9.08 7.01
132 rexnet_200 2697.36 94.896 256 224 1.56 14.91 16.37
133 resnetv2_50 2678.82 95.552 256 224 4.11 11.11 25.55
134 crossvit_9_240 2675.71 95.665 256 240 1.85 9.52 8.55
135 eca_botnext26ts_256 2660.24 96.221 256 256 2.46 11.6 10.59
136 tresnet_m 2657.69 96.314 256 224 5.74 7.31 31.39
137 botnet26t_256 2648.39 96.646 256 256 3.32 11.98 12.49
138 halonet26t 2611.82 98.005 256 256 3.19 11.69 12.48
139 vgg11 2609.78 98.082 256 224 7.61 7.44 132.86
140 eca_halonext26ts 2603.27 98.327 256 256 2.44 11.46 10.76
141 gluon_resnet50_v1b 2595.8 98.61 256 224 4.11 11.11 25.56
142 ssl_resnet50 2595.55 98.619 256 224 4.11 11.11 25.56
143 efficientnet_b3_pruned 2594.03 98.677 256 300 1.04 11.86 9.86
144 tv_resnet50 2591.78 98.763 256 224 4.11 11.11 25.56
145 crossvit_9_dagger_240 2589.88 98.836 256 240 1.99 9.97 8.78
146 resnet50 2584.36 99.039 256 224 4.11 11.11 25.56
147 swsl_resnet50 2581.65 99.146 256 224 4.11 11.11 25.56
148 convit_tiny 2544.18 100.61 256 224 1.26 7.94 5.71
149 hrnet_w18_small_v2 2509.11 102.017 256 224 2.62 9.65 15.6
150 resnet32ts 2503.04 102.263 256 256 4.63 11.58 17.96
151 bat_resnext26ts 2479.68 103.219 256 256 2.53 12.51 10.73
152 resnet33ts 2467.72 103.728 256 256 4.76 11.66 19.68
153 gluon_resnet50_v1c 2464.02 103.884 256 224 4.35 11.92 25.58
154 ese_vovnet39b 2457.44 104.162 256 224 7.09 6.74 24.57
155 cspresnet50 2453.31 104.338 256 256 4.54 11.5 21.62
156 cspresnext50 2451.69 104.407 256 224 3.1 12.14 20.57
157 gluon_resnet50_v1d 2445.69 104.663 256 224 4.35 11.92 25.58
158 resnet50d 2441.21 104.85 256 224 4.35 11.92 25.58
159 dpn68b 2432.24 105.242 256 224 2.35 10.47 12.61
160 legacy_seresnet50 2426.52 105.49 256 224 3.88 10.6 28.09
161 dpn68 2406.35 106.374 256 224 2.35 10.47 12.61
162 eca_resnet33ts 2405.01 106.434 256 256 4.76 11.66 19.68
163 seresnet33ts 2402.61 106.54 256 256 4.76 11.66 19.78
164 vgg11_bn 2383.08 107.413 256 224 7.62 7.44 132.87
165 mixnet_l 2358.59 108.528 256 224 0.58 10.84 7.33
166 lambda_resnet26t 2358.23 108.545 256 256 3.02 11.87 10.96
167 gcresnet33ts 2347.52 109.04 256 256 4.76 11.68 19.88
168 pit_s_224 2332.08 109.763 256 224 2.88 11.56 23.46
169 dla60 2324.78 110.106 256 224 4.26 10.16 22.04
170 seresnet50 2316.85 110.484 256 224 4.11 11.13 28.09
171 resnest26d 2313.67 110.634 256 224 3.64 9.97 17.07
172 pit_s_distilled_224 2311.97 110.718 256 224 2.9 11.64 24.04
173 deit_small_patch16_224 2297.25 111.426 256 224 4.61 11.95 22.05
174 vit_small_patch16_224 2293.15 111.622 256 224 4.61 11.95 22.05
175 deit_small_distilled_patch16_224 2268.28 112.85 256 224 4.63 12.02 22.44
176 tf_mixnet_l 2264.19 113.053 256 224 0.58 10.84 7.33
177 tf_efficientnet_b2_ns 2256.47 113.438 256 260 1.02 13.83 9.11
178 tf_efficientnet_b2_ap 2256.28 113.446 256 260 1.02 13.83 9.11
179 tf_efficientnet_b2 2253.15 113.605 256 260 1.02 13.83 9.11
180 tv_densenet121 2246.15 113.963 256 224 2.87 6.9 7.98
181 densenet121 2241.22 114.212 256 224 2.87 6.9 7.98
182 res2net50_48w_2s 2234.19 114.57 256 224 4.18 11.72 25.29
183 ecaresnet50d 2188.72 116.953 256 224 4.35 11.93 25.58
184 resnetblur50 2181.37 117.342 256 224 5.16 12.02 25.56
185 haloregnetz_b 2181.01 117.365 256 224 1.97 11.94 11.68
186 resnetrs50 2148.74 119.126 256 224 4.48 12.14 35.69
187 gluon_resnet50_v1s 2124.85 120.469 256 224 5.47 13.52 25.68
188 visformer_small 2123.42 120.549 256 224 4.88 11.43 40.22
189 gluon_inception_v3 2118.5 120.829 256 299 5.73 8.97 23.83
190 regnetx_032 2117.36 120.894 256 224 3.2 11.37 15.3
191 resmlp_24_distilled_224 2109.62 121.337 256 224 5.96 10.91 30.02
192 efficientnet_b2 2109.39 121.351 256 288 1.12 16.2 9.11
193 inception_v3 2109.39 121.351 256 299 5.73 8.97 23.83
194 resmlp_24_224 2108.77 121.386 256 224 5.96 10.91 30.02
195 tf_inception_v3 2108.49 121.403 256 299 5.73 8.97 23.83
196 adv_inception_v3 2107.2 121.474 256 299 5.73 8.97 23.83
197 efficientnet_em 2078.91 123.131 256 240 3.04 14.34 6.9
198 densenetblur121d 2047.01 125.05 256 224 3.11 7.9 8.0
199 tf_efficientnet_em 2016.96 126.911 256 240 3.04 14.34 6.9
200 ssl_resnext50_32x4d 2014.12 127.092 256 224 4.26 14.4 25.03
201 tv_resnext50_32x4d 2011.71 127.243 256 224 4.26 14.4 25.03
202 gluon_resnext50_32x4d 2008.79 127.428 256 224 4.26 14.4 25.03
203 swsl_resnext50_32x4d 2003.89 127.736 256 224 4.26 14.4 25.03
204 resnext50_32x4d 2003.33 127.776 256 224 4.26 14.4 25.03
205 tf_efficientnet_cc_b1_8e 1964.78 130.28 256 240 0.75 15.44 39.72
206 dla60x 1943.55 131.706 256 224 3.54 13.8 17.35
207 regnetx_040 1936.18 132.208 256 224 3.99 12.2 22.12
208 resnext50d_32x4d 1913.78 133.755 256 224 4.5 15.2 25.05
209 res2net50_26w_4s 1909.57 134.046 256 224 4.28 12.61 25.7
210 tf_efficientnetv2_b3 1906.95 134.234 256 300 3.04 15.74 14.36
211 regnety_040 1904.74 134.39 256 224 4.0 12.29 20.65
212 gcresnet50t 1896.24 134.993 256 256 5.42 14.67 25.9
213 efficientnetv2_rw_t 1892.3 135.274 256 288 3.19 16.42 13.65
214 sehalonet33ts 1872.56 136.7 256 256 3.55 14.7 13.69
215 lambda_resnet26rpt_256 1852.61 138.171 256 256 3.16 11.87 10.99
216 seresnext50_32x4d 1837.91 139.277 256 224 4.26 14.42 27.56
217 gcresnext50ts 1836.72 139.369 256 256 3.75 15.46 15.67
218 dla60_res2net 1835.75 139.44 256 224 4.15 12.34 20.85
219 gluon_seresnext50_32x4d 1834.84 139.511 256 224 4.26 14.42 27.56
220 legacy_seresnext50_32x4d 1831.03 139.801 256 224 4.26 14.42 27.56
221 resnest50d_1s4x24d 1825.82 140.197 256 224 4.43 13.57 25.68
222 repvgg_b1g4 1816.81 140.887 256 224 8.15 10.64 39.97
223 densenet169 1814.19 141.099 256 224 3.4 7.3 14.15
224 gc_efficientnetv2_rw_t 1807.69 141.606 256 288 3.2 16.45 13.68
225 coat_lite_tiny 1802.74 141.995 256 224 1.6 11.65 5.72
226 res2net50_14w_8s 1801.06 142.125 256 224 4.21 13.28 25.06
227 res2next50 1791.13 142.906 256 224 4.2 13.71 24.67
228 cspdarknet53 1752.54 146.063 256 256 6.57 16.81 27.64
229 ecaresnet26t 1748.79 146.375 256 320 5.24 16.44 16.01
230 dla60_res2next 1747.0 146.526 256 224 3.49 13.17 17.03
231 regnetz_b 1724.41 148.443 256 288 2.39 16.43 9.72
232 coat_lite_mini 1717.23 149.066 256 224 2.0 12.25 11.01
233 vgg13 1708.54 149.824 256 224 11.31 12.25 133.05
234 mixnet_xl 1689.17 151.542 256 224 0.93 14.57 11.9
235 vit_small_r26_s32_224 1664.97 153.742 256 224 3.56 9.85 36.43
236 resnetv2_101 1630.91 156.956 256 224 7.83 16.23 44.54
237 tf_efficientnet_lite3 1624.63 157.563 256 300 1.65 21.85 8.2
238 gluon_resnet101_v1b 1601.1 159.88 256 224 7.83 16.23 44.55
239 tv_resnet101 1599.29 160.06 256 224 7.83 16.23 44.55
240 repvgg_b1 1595.1 160.478 256 224 13.16 10.64 57.42
241 xcit_tiny_24_p16_224_dist 1586.68 161.331 256 224 2.34 11.82 12.12
242 xcit_tiny_24_p16_224 1585.43 161.458 256 224 2.34 11.82 12.12
243 xcit_small_12_p16_224_dist 1555.24 164.59 256 224 4.82 12.58 26.25
244 xcit_small_12_p16_224 1551.41 164.997 256 224 4.82 12.58 26.25
245 gluon_resnet101_v1c 1549.68 165.185 256 224 8.08 17.04 44.57
246 resnest50d 1546.83 165.485 256 224 5.4 14.36 27.48
247 vgg13_bn 1545.98 165.579 256 224 11.33 12.25 133.05
248 gluon_resnet101_v1d 1542.35 165.971 256 224 8.08 17.04 44.57
249 dla102 1540.91 166.124 256 224 7.19 14.18 33.27
250 twins_svt_small 1527.64 167.568 256 224 2.94 13.75 24.06
251 wide_resnet50_2 1520.69 168.321 256 224 11.43 14.4 68.88
252 gmixer_24_224 1499.34 170.73 256 224 5.28 14.45 24.72
253 resnetv2_50x1_bit_distilled 1491.85 171.586 256 224 4.23 11.11 25.55
254 regnetx_080 1490.15 171.784 256 224 8.02 14.06 39.57
255 xcit_nano_12_p16_384_dist 1485.24 172.347 256 384 1.64 12.15 3.05
256 crossvit_small_240 1471.27 173.987 256 240 5.63 18.17 26.86
257 legacy_seresnet101 1468.28 174.342 256 224 7.61 15.74 49.33
258 halonet50ts 1455.95 175.819 256 256 5.3 19.2 22.73
259 res2net50_26w_6s 1449.56 176.589 256 224 6.33 15.28 37.05
260 regnetx_064 1419.83 180.292 256 224 6.49 16.37 26.21
261 densenet201 1416.48 180.718 256 224 4.34 7.85 20.01
262 resmlp_36_224 1415.51 180.84 256 224 8.91 16.33 44.69
263 resmlp_36_distilled_224 1415.35 180.86 256 224 8.91 16.33 44.69
264 gluon_resnet101_v1s 1409.69 181.589 256 224 9.19 18.64 44.67
265 nf_resnet50 1387.87 184.443 256 288 6.88 18.37 25.56
266 ecaresnet101d 1376.05 186.03 256 224 8.08 17.07 44.57
267 vgg16 1375.43 186.112 256 224 15.47 13.56 138.36
268 hrnet_w18 1354.53 188.983 256 224 4.32 16.31 21.3
269 regnety_032 1350.9 189.492 256 288 5.29 18.61 19.44
270 crossvit_15_240 1346.42 190.123 256 240 5.81 19.77 27.53
271 tresnet_l 1344.95 190.33 256 224 10.88 11.9 55.99
272 gmlp_s16_224 1341.95 190.757 256 224 4.42 15.1 19.42
273 tf_efficientnet_b3_ap 1337.77 191.35 256 300 1.87 23.83 12.23
274 tf_efficientnet_b3_ns 1337.21 191.429 256 300 1.87 23.83 12.23
275 tf_efficientnet_b3 1336.96 191.464 256 300 1.87 23.83 12.23
276 resnet51q 1335.36 191.695 256 288 8.07 20.94 35.7
277 vit_base_patch32_384 1326.76 192.939 256 384 13.06 16.5 88.3
278 xception 1314.05 194.804 256 299 8.4 35.83 22.86
279 crossvit_15_dagger_240 1305.29 196.113 256 240 6.13 20.43 28.21
280 dla102x 1302.51 196.531 256 224 5.89 19.42 26.31
281 efficientnet_b3 1297.94 197.224 256 320 2.01 26.52 12.23
282 mixer_b16_224 1285.59 199.119 256 224 12.62 14.53 59.88
283 mixer_b16_224_miil 1283.81 199.396 256 224 12.62 14.53 59.88
284 cait_xxs24_224 1283.41 199.457 256 224 2.53 20.29 11.96
285 skresnext50_32x4d 1277.72 200.346 256 224 4.5 17.18 27.48
286 regnety_064 1270.37 201.504 256 224 6.39 16.41 30.58
287 ssl_resnext101_32x4d 1267.29 201.994 256 224 8.01 21.23 44.18
288 gluon_resnext101_32x4d 1262.61 202.744 256 224 8.01 21.23 44.18
289 swsl_resnext101_32x4d 1261.41 202.934 256 224 8.01 21.23 44.18
290 vgg16_bn 1259.82 203.192 256 224 15.5 13.56 138.37
291 repvgg_b2g4 1250.78 204.659 256 224 12.63 12.9 61.76
292 swin_tiny_patch4_window7_224 1247.03 205.273 256 224 4.51 17.06 28.29
293 twins_pcpvt_small 1237.18 206.911 256 224 3.83 18.08 24.11
294 regnety_080 1231.05 207.941 256 224 8.0 17.97 39.18
295 resnest50d_4s2x40d 1214.34 210.797 256 224 4.4 17.94 30.42
296 resnet61q 1207.53 211.987 256 288 9.87 21.52 36.85
297 eca_nfnet_l0 1191.71 214.805 256 288 7.12 17.29 24.14
298 nfnet_l0 1190.26 215.067 256 288 7.13 17.29 35.07
299 res2net101_26w_4s 1183.89 216.22 256 224 8.1 18.45 45.21
300 dpn92 1178.74 217.169 256 224 6.54 18.21 37.67
301 res2net50_26w_8s 1178.7 217.174 256 224 8.37 17.95 48.4
302 vit_tiny_patch16_384 1172.78 218.271 256 384 4.7 25.39 5.79
303 convit_small 1169.52 218.881 256 224 5.76 17.87 27.78
304 vgg19 1152.13 222.185 256 224 19.63 14.86 143.67
305 gluon_seresnext101_32x4d 1150.11 222.576 256 224 8.02 21.26 48.96
306 legacy_seresnext101_32x4d 1149.76 222.644 256 224 8.02 21.26 48.96
307 hrnet_w32 1142.24 224.109 256 224 8.97 22.02 41.23
308 xcit_nano_12_p8_224 1127.98 226.94 256 224 2.16 15.71 3.05
309 xcit_nano_12_p8_224_dist 1127.81 226.974 256 224 2.16 15.71 3.05
310 hrnet_w30 1123.84 227.778 256 224 8.15 21.21 37.71
311 tv_resnet152 1116.24 229.331 256 224 11.56 22.56 60.19
312 gluon_resnet152_v1b 1115.71 229.44 256 224 11.56 22.56 60.19
313 ecaresnet50t 1110.54 230.506 256 320 8.82 24.13 25.57
314 regnetz_c 1099.38 232.841 256 320 3.92 25.88 13.46
315 gluon_resnet152_v1c 1090.66 234.708 256 224 11.8 23.36 60.21
316 gluon_resnet152_v1d 1087.27 235.441 256 224 11.8 23.36 60.21
317 repvgg_b2 1087.24 235.444 256 224 20.45 12.9 89.02
318 xception41 1068.11 239.655 256 299 9.28 39.86 26.97
319 densenet161 1067.45 239.812 256 224 7.79 11.06 28.68
320 vgg19_bn 1061.8 241.089 256 224 19.66 14.86 143.68
321 inception_v4 1057.29 242.117 256 299 12.28 15.09 42.68
322 convmixer_1024_20_ks9_p14 1048.55 244.135 256 224 5.55 5.51 24.38
323 dla169 1043.9 245.223 256 224 11.6 20.2 53.39
324 xcit_tiny_12_p16_384_dist 1041.14 245.869 256 384 3.64 18.26 6.72
325 regnetx_120 1028.54 248.883 256 224 12.13 21.37 46.11
326 gluon_resnet152_v1s 1019.74 251.033 256 224 12.92 24.96 60.32
327 coat_lite_small 1019.01 251.211 256 224 3.96 22.09 19.84
328 vit_base_patch16_224_miil 1015.29 252.134 256 224 17.58 23.9 86.54
329 legacy_seresnet152 1014.16 252.414 256 224 11.33 22.08 66.82
330 repvgg_b3g4 1009.72 253.523 256 224 17.89 15.1 83.83
331 jx_nest_tiny 1009.0 253.705 256 224 5.83 25.48 17.06
332 crossvit_18_240 995.7 257.092 256 240 9.05 26.26 43.27
333 vit_base_patch16_224 987.74 259.165 256 224 17.58 23.9 86.57
334 vit_base_patch16_sam_224 983.41 260.307 256 224 17.58 23.9 86.57
335 tresnet_xl 983.24 260.352 256 224 15.17 15.34 78.44
336 deit_base_patch16_224 981.95 260.694 256 224 17.58 23.9 86.57
337 regnety_120 981.03 260.937 256 224 12.14 21.38 51.82
338 deit_base_distilled_patch16_224 972.1 263.335 256 224 17.68 24.05 87.34
339 crossvit_18_dagger_240 968.8 264.234 256 240 9.5 27.03 44.27
340 efficientnet_el_pruned 927.76 275.921 256 300 8.0 30.7 10.59
341 efficientnet_el 927.59 275.971 256 300 8.0 30.7 10.59
342 tf_efficientnet_el 908.45 281.783 256 300 8.0 30.7 10.59
343 beit_base_patch16_224 907.03 282.225 256 224 17.58 23.9 86.53
344 dm_nfnet_f0 906.74 282.318 256 256 12.62 18.05 71.49
345 beit_base_patch16_224_in22k 904.43 283.033 256 224 17.6 23.92 102.56
346 twins_pcpvt_base 903.59 283.303 256 224 6.68 25.25 43.83
347 dla102x2 892.39 286.858 256 224 9.34 29.91 41.28
348 twins_svt_base 884.1 289.548 256 224 8.59 26.33 56.07
349 wide_resnet101_2 879.83 290.95 256 224 22.8 21.23 126.89
350 tf_efficientnetv2_s_in21ft1k 867.65 295.037 256 384 8.44 35.77 21.46
351 tf_efficientnetv2_s 866.61 295.392 256 384 8.44 35.77 21.46
352 cait_xxs36_224 864.05 296.268 256 224 3.77 30.34 17.3
353 resnetrs101 850.72 300.905 256 288 13.56 28.53 63.62
354 repvgg_b3 845.91 302.619 256 224 29.16 15.1 123.09
355 efficientnetv2_rw_s 844.69 303.059 256 384 8.72 38.03 23.94
356 dpn98 840.2 304.675 256 224 11.73 25.2 61.57
357 pit_b_distilled_224 838.63 305.249 256 224 12.5 33.07 74.79
358 pit_b_224 837.02 305.836 256 224 12.42 32.94 73.76
359 ens_adv_inception_resnet_v2 834.35 306.814 256 299 13.18 25.06 55.84
360 regnetx_160 833.02 307.301 256 224 15.99 25.52 54.28
361 inception_resnet_v2 832.69 307.427 256 299 13.18 25.06 55.84
362 xcit_small_24_p16_224_dist 830.32 308.297 256 224 9.1 23.64 47.67
363 xcit_small_24_p16_224 828.74 308.886 256 224 9.1 23.64 47.67
364 swin_small_patch4_window7_224 809.9 316.074 256 224 8.77 27.47 49.61
365 gluon_resnext101_64x4d 803.65 318.536 256 224 15.52 31.21 83.46
366 xcit_tiny_12_p8_224_dist 791.87 323.27 256 224 4.81 23.6 6.71
367 xcit_tiny_12_p8_224 791.64 323.364 256 224 4.81 23.6 6.71
368 gluon_xception65 784.11 326.474 256 299 13.96 52.48 39.92
369 xception65 777.91 329.074 256 299 13.96 52.48 39.92
370 resnet101d 776.37 329.723 256 320 16.48 34.77 44.57
371 ig_resnext101_32x8d 775.21 330.222 256 224 16.48 31.21 88.79
372 swsl_resnext101_32x8d 773.83 330.808 256 224 16.48 31.21 88.79
373 resnext101_32x8d 773.08 331.13 256 224 16.48 31.21 88.79
374 ssl_resnext101_32x8d 769.28 332.765 256 224 16.48 31.21 88.79
375 tf_efficientnet_lite4 764.13 335.01 256 380 4.04 45.66 13.01
376 hrnet_w40 760.18 336.752 256 224 12.75 25.29 57.56
377 gluon_seresnext101_64x4d 756.43 338.418 256 224 15.53 31.25 88.23
378 resnest101e 755.07 339.024 256 256 13.38 28.66 48.28
379 hrnet_w48 716.4 357.329 256 224 17.34 28.56 77.47
380 cait_s24_224 714.86 358.098 256 224 9.35 40.58 46.92
381 tresnet_m_448 713.55 358.758 256 448 22.94 29.21 31.39
382 coat_tiny 707.04 362.062 256 224 4.35 27.2 5.5
383 regnetz_d 704.94 363.138 256 320 9.33 37.08 27.58
384 hrnet_w44 702.53 364.385 256 224 14.94 26.92 67.06
385 vit_large_r50_s32_224 680.11 376.394 256 224 19.58 24.41 328.99
386 jx_nest_small 676.97 378.142 256 224 10.35 40.04 38.35
387 twins_svt_large 673.22 380.252 256 224 15.15 35.1 99.27
388 crossvit_base_240 671.16 381.416 256 240 21.22 36.33 105.03
389 efficientnet_b4 667.18 383.692 256 384 4.51 50.04 19.34
390 twins_pcpvt_large 657.69 389.226 256 224 9.84 35.82 60.99
391 tf_efficientnet_b4 637.24 401.719 256 380 4.49 49.49 19.34
392 tf_efficientnet_b4_ap 636.68 402.068 256 380 4.49 49.49 19.34
393 tf_efficientnet_b4_ns 636.62 402.109 256 380 4.49 49.49 19.34
394 convit_base 621.76 411.725 256 224 17.52 31.77 86.54
395 dpn131 619.15 413.454 256 224 16.09 32.97 79.25
396 swin_base_patch4_window7_224 617.4 414.625 256 224 15.47 36.63 87.77
397 swin_base_patch4_window7_224_in22k 616.51 415.228 256 224 15.49 36.65 109.13
398 xcit_medium_24_p16_224_dist 613.3 417.401 256 224 16.13 31.71 84.4
399 xcit_medium_24_p16_224 612.89 417.675 256 224 16.13 31.71 84.4
400 vit_small_patch16_384 594.17 430.838 256 384 15.52 50.78 22.2
401 coat_mini 592.46 432.084 256 224 6.82 33.68 10.34
402 xception71 590.14 433.78 256 299 18.09 69.92 42.34
403 vit_small_r26_s32_384 574.75 445.396 256 384 10.43 29.85 36.47
404 hrnet_w64 570.22 448.937 256 224 28.97 35.09 128.06
405 dpn107 566.19 452.128 256 224 18.38 33.46 86.92
406 eca_nfnet_l1 559.71 457.367 256 320 14.92 34.42 41.41
407 gluon_senet154 559.51 457.529 256 224 20.77 38.69 115.09
408 legacy_senet154 558.72 458.178 256 224 20.77 38.69 115.09
409 xcit_tiny_24_p16_384_dist 556.09 460.342 256 384 6.87 34.29 12.12
410 xcit_small_12_p16_384_dist 546.87 468.099 256 384 14.14 36.51 26.25
411 resnet152d 546.29 468.597 256 320 24.08 47.67 60.21
412 regnety_320 522.26 490.163 256 224 32.34 30.26 145.05
413 jx_nest_base 511.39 500.584 256 224 17.96 53.39 67.72
414 regnety_160 509.43 502.501 256 288 26.37 38.07 83.59
415 tnt_s_patch16_224 497.77 514.282 256 224 5.24 24.37 23.76
416 seresnet152d 489.63 522.829 256 320 24.09 47.72 66.84
417 resnetrs152 483.98 528.928 256 320 24.34 48.14 86.62
418 regnetx_320 460.34 556.1 256 224 31.81 36.3 107.81
419 vit_large_patch32_384 457.67 559.348 256 384 45.31 43.86 306.63
420 mixer_l16_224 429.82 595.582 256 224 44.6 41.69 208.2
421 xcit_tiny_24_p8_224 417.75 612.797 256 224 9.21 45.39 12.11
422 xcit_tiny_24_p8_224_dist 417.56 613.068 256 224 9.21 45.39 12.11
423 xcit_small_12_p8_224 416.17 615.111 256 224 18.69 47.21 26.21
424 xcit_small_12_p8_224_dist 415.93 615.473 256 224 18.69 47.21 26.21
425 efficientnetv2_rw_m 404.25 633.263 256 416 21.49 79.62 53.24
426 resnet200d 391.43 653.991 256 320 31.25 67.33 64.69
427 resnetv2_50x1_bitm 388.67 658.636 256 448 16.62 44.46 25.55
428 xcit_nano_12_p8_384_dist 387.79 660.138 256 384 6.34 46.08 3.05
429 swin_large_patch4_window7_224 385.11 664.722 256 224 34.53 54.94 196.53
430 swin_large_patch4_window7_224_in22k 384.77 665.318 256 224 34.56 54.96 228.57
431 xcit_large_24_p16_224 374.96 682.722 256 224 35.86 47.27 189.1
432 xcit_large_24_p16_224_dist 374.65 683.281 256 224 35.86 47.27 189.1
433 ssl_resnext101_32x16d 366.28 698.897 256 224 36.27 51.18 194.03
434 ig_resnext101_32x16d 365.74 699.945 256 224 36.27 51.18 194.03
435 swsl_resnext101_32x16d 365.46 700.478 256 224 36.27 51.18 194.03
436 tresnet_l_448 350.13 731.146 256 448 43.5 47.56 55.99
437 resnetrs200 346.06 739.735 256 320 31.51 67.81 93.21
438 tf_efficientnetv2_m 339.58 753.868 256 480 24.76 89.84 54.14
439 tf_efficientnetv2_m_in21ft1k 339.57 753.879 256 480 24.76 89.84 54.14
440 vit_large_patch16_224 332.37 770.202 256 224 61.6 63.52 304.33
441 dm_nfnet_f1 329.67 776.526 256 320 35.97 46.77 132.63
442 tf_efficientnet_b5 319.74 800.623 256 456 10.46 98.86 30.39
443 tf_efficientnet_b5_ap 319.51 801.207 256 456 10.46 98.86 30.39
444 tf_efficientnet_b5_ns 319.48 801.287 256 456 10.46 98.86 30.39
445 crossvit_15_dagger_408 308.22 830.557 256 408 21.45 95.05 28.5
446 beit_large_patch16_224 304.41 840.964 256 224 61.6 63.52 304.43
447 beit_large_patch16_224_in22k 303.89 842.402 256 224 61.62 63.54 325.79
448 xcit_small_24_p16_384_dist 291.33 878.717 256 384 26.72 68.58 47.67
449 convmixer_768_32 284.41 900.105 256 224 19.55 25.95 21.11
450 eca_nfnet_l2 277.7 921.837 256 384 30.05 68.28 56.72
451 resnetv2_152x2_bit_teacher 272.08 940.888 256 224 46.95 45.11 236.34
452 xcit_tiny_12_p8_384_dist 271.29 943.618 256 384 14.13 69.14 6.71
453 tresnet_xl_448 265.72 963.421 256 448 60.65 61.31 78.44
454 vit_base_patch16_384 260.82 981.51 256 384 55.54 101.56 86.86
455 deit_base_patch16_384 260.27 983.563 256 384 55.54 101.56 86.86
456 resnest200e 257.06 995.856 256 320 35.69 82.78 70.2
457 deit_base_distilled_patch16_384 256.78 996.936 256 384 55.65 101.82 87.63
458 resnetv2_101x1_bitm 243.19 1052.661 256 448 31.65 64.93 44.54
459 cait_xxs24_384 238.44 1073.626 256 384 9.63 122.66 12.03
460 ecaresnet269d 229.27 1116.568 256 352 50.25 101.25 102.09
461 crossvit_18_dagger_408 229.17 558.535 128 408 32.47 124.87 44.61
462 vit_large_r50_s32_384 229.1 1117.419 256 384 57.43 76.52 329.09
463 nasnetalarge 226.47 1130.365 256 331 23.89 90.56 88.75
464 pnasnet5large 225.65 1134.478 256 331 25.04 92.89 86.06
465 beit_base_patch16_384 223.91 1143.322 256 384 55.54 101.56 86.74
466 resnetrs270 222.05 1152.857 256 352 51.13 105.48 129.86
467 xcit_small_24_p8_224 218.32 1172.571 256 224 35.81 90.78 47.63
468 xcit_small_24_p8_224_dist 218.2 1173.193 256 224 35.81 90.78 47.63
469 xcit_medium_24_p16_384_dist 212.67 1203.725 256 384 47.39 91.64 84.4
470 resmlp_big_24_224 199.99 1280.033 256 224 100.23 87.31 129.14
471 resmlp_big_24_224_in22ft1k 199.55 1282.862 256 224 100.23 87.31 129.14
472 resmlp_big_24_distilled_224 199.5 1283.208 256 224 100.23 87.31 129.14
473 tf_efficientnetv2_l 196.16 1305.054 256 480 56.4 157.99 118.52
474 tf_efficientnetv2_l_in21ft1k 195.97 1306.333 256 480 56.4 157.99 118.52
475 dm_nfnet_f2 187.32 1366.603 256 352 63.22 79.06 193.78
476 tf_efficientnet_b6_ns 184.64 693.239 128 528 19.4 167.39 43.04
477 tf_efficientnet_b6_ap 184.63 693.254 128 528 19.4 167.39 43.04
478 tf_efficientnet_b6 184.56 693.543 128 528 19.4 167.39 43.04
479 swin_base_patch4_window12_384 172.29 742.9 128 384 47.19 134.78 87.9
480 swin_base_patch4_window12_384_in22k 172.09 743.782 128 384 47.21 134.8 109.27
481 cait_xs24_384 168.76 1516.911 256 384 19.28 183.98 26.67
482 vit_base_r50_s16_384 164.61 1555.149 256 384 67.43 135.03 98.95
483 convmixer_1536_20 163.58 1564.936 256 224 48.68 33.03 51.63
484 cait_xxs36_384 159.38 1606.206 256 384 14.35 183.7 17.37
485 xcit_medium_24_p8_224 158.47 1615.434 256 224 63.53 121.23 84.32
486 xcit_medium_24_p8_224_dist 158.47 1615.404 256 224 63.53 121.23 84.32
487 resnetrs350 147.45 1736.143 256 384 77.59 154.74 163.96
488 ig_resnext101_32x32d 144.94 1766.221 256 224 87.29 91.12 468.53
489 xcit_tiny_24_p8_384_dist 140.02 1828.249 256 384 27.05 132.95 12.11
490 xcit_small_12_p8_384_dist 138.32 1850.769 256 384 54.92 138.29 26.21
491 cait_s24_384 130.37 1963.692 256 384 32.17 245.31 47.06
492 xcit_large_24_p16_384_dist 128.67 1989.551 256 384 105.35 137.17 189.1
493 tf_efficientnetv2_xl_in21ft1k 125.28 2043.358 256 512 93.85 247.32 208.12
494 resnest269e 119.95 2134.143 256 416 77.69 171.98 110.93
495 swin_large_patch4_window12_384 108.71 1177.454 128 384 104.08 202.16 196.74
496 swin_large_patch4_window12_384_in22k 108.63 1178.305 128 384 104.11 202.18 228.77
497 resnetrs420 107.0 2392.495 256 416 108.45 213.79 191.89
498 tf_efficientnet_b7_ns 106.07 603.375 64 600 38.33 289.94 66.35
499 tf_efficientnet_b7_ap 105.98 603.889 64 600 38.33 289.94 66.35
500 tf_efficientnet_b7 105.95 604.03 64 600 38.33 289.94 66.35
501 dm_nfnet_f3 102.63 2494.386 256 416 115.58 141.78 254.92
502 xcit_large_24_p8_224 95.99 2666.968 256 224 141.23 181.56 188.93
503 xcit_large_24_p8_224_dist 95.77 2673.153 256 224 141.23 181.56 188.93
504 resnetv2_152x2_bit_teacher_384 94.95 2696.08 256 384 136.16 132.56 236.34
505 resnetv2_50x3_bitm 93.71 1365.901 128 448 145.7 133.37 217.32
506 vit_large_patch16_384 89.71 2853.476 256 384 191.21 270.24 304.72
507 cait_s36_384 87.22 2935.166 256 384 47.99 367.4 68.37
508 ig_resnext101_32x48d 85.91 1489.933 128 224 153.57 131.06 828.41
509 beit_large_patch16_384 77.75 3292.734 256 384 191.21 270.24 305.0
510 xcit_small_24_p8_384_dist 72.45 3533.673 256 384 105.24 265.91 47.63
511 resnetv2_152x2_bitm 69.73 1835.714 128 448 184.99 180.43 236.34
512 tf_efficientnet_b8 66.92 956.333 64 672 63.48 442.89 87.41
513 tf_efficientnet_b8_ap 66.91 956.434 64 672 63.48 442.89 87.41
514 dm_nfnet_f4 57.01 4490.519 256 512 216.26 262.26 316.07
515 resnetv2_101x3_bitm 56.17 2278.772 128 448 280.33 194.78 387.93
516 xcit_medium_24_p8_384_dist 53.81 4757.31 256 384 186.67 354.73 84.32
517 dm_nfnet_f5 41.46 6174.452 256 544 290.97 349.71 377.21
518 tf_efficientnet_l2_ns_475 38.52 1661.585 64 475 172.11 609.89 480.31
519 xcit_large_24_p8_384_dist 32.44 7891.525 256 384 415.0 531.82 188.93
520 beit_large_patch16_512 31.38 2039.285 64 512 362.24 656.39 305.67
521 cait_m36_384 30.16 8488.214 256 384 173.11 734.81 271.22
522 dm_nfnet_f6 30.03 8525.766 256 576 378.69 452.2 438.36
523 resnetv2_152x4_bitm 18.21 3515.177 64 480 844.84 414.26 936.53
524 tf_efficientnet_l2_ns 13.56 1770.059 24 800 479.12 1707.39 480.31
525 cait_m48_448 13.08 9784.533 128 448 329.41 1708.23 356.46

519
results/model_metadata_in1k.csv
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model,pretrain
adv_inception_v3,in1k-adv
bat_resnext26ts,in1k
beit_base_patch16_224,in21k-selfsl
beit_base_patch16_384,in21k-selfsl
beit_large_patch16_224,in21k-selfsl
beit_large_patch16_384,in21k-selfsl
beit_large_patch16_512,in21k-selfsl
botnet26t_256,in1k
cait_m36_384,in1k-dist
cait_m48_448,in1k-dist
cait_s24_224,in1k-dist
cait_s24_384,in1k-dist
cait_s36_384,in1k-dist
cait_xs24_384,in1k-dist
cait_xxs24_224,in1k-dist
cait_xxs24_384,in1k-dist
cait_xxs36_224,in1k-dist
cait_xxs36_384,in1k-dist
coat_lite_mini,in1k
coat_lite_small,in1k
coat_lite_tiny,in1k
coat_mini,in1k
coat_tiny,in1k
convit_base,in1k
convit_small,in1k
convit_tiny,in1k
convmixer_1024_20_ks9_p14,in1k
convmixer_1536_20,in1k
convmixer_768_32,in1k
crossvit_15_240,in1k
crossvit_15_dagger_240,in1k
crossvit_15_dagger_408,in1k
crossvit_18_240,in1k
crossvit_18_dagger_240,in1k
crossvit_18_dagger_408,in1k
crossvit_9_240,in1k
crossvit_9_dagger_240,in1k
crossvit_base_240,in1k
crossvit_small_240,in1k
crossvit_tiny_240,in1k
cspdarknet53,in1k
cspresnet50,in1k
cspresnext50,in1k
deit_base_distilled_patch16_224,in1k-dist
deit_base_distilled_patch16_384,in1k-dist
deit_base_patch16_224,in1k
deit_base_patch16_384,in1k
deit_small_distilled_patch16_224,in1k-dist
deit_small_patch16_224,in1k
deit_tiny_distilled_patch16_224,in1k-dist
deit_tiny_patch16_224,in1k
densenet121,in1k
densenet161,in1k
densenet169,in1k
densenet201,in1k
densenetblur121d,in1k
dla102,in1k
dla102x,in1k
dla102x2,in1k
dla169,in1k
dla34,in1k
dla46_c,in1k
dla46x_c,in1k
dla60,in1k
dla60_res2net,in1k
dla60_res2next,in1k
dla60x,in1k
dla60x_c,in1k
dm_nfnet_f0,in1k
dm_nfnet_f1,in1k
dm_nfnet_f2,in1k
dm_nfnet_f3,in1k
dm_nfnet_f4,in1k
dm_nfnet_f5,in1k
dm_nfnet_f6,in1k
dpn107,in1k
dpn131,in1k
dpn68,in1k
dpn68b,in1k
dpn92,in1k
dpn98,in1k
eca_botnext26ts_256,in1k
eca_halonext26ts,in1k
eca_nfnet_l0,in1k
eca_nfnet_l1,in1k
eca_nfnet_l2,in1k
eca_resnet33ts,in1k
eca_resnext26ts,in1k
ecaresnet101d,in1k
ecaresnet101d_pruned,in1k
ecaresnet269d,in1k
ecaresnet26t,in1k
ecaresnet50d,in1k
ecaresnet50d_pruned,in1k
ecaresnet50t,in1k
ecaresnetlight,in1k
efficientnet_b0,in1k
efficientnet_b1,in1k
efficientnet_b1_pruned,in1k
efficientnet_b2,in1k
efficientnet_b2_pruned,in1k
efficientnet_b3,in1k
efficientnet_b3_pruned,in1k
efficientnet_b4,in1k
efficientnet_el,in1k
efficientnet_el_pruned,in1k
efficientnet_em,in1k
efficientnet_es,in1k
efficientnet_es_pruned,in1k
efficientnet_lite0,in1k
efficientnetv2_rw_m,in1k
efficientnetv2_rw_s,in1k
efficientnetv2_rw_t,in1k
ens_adv_inception_resnet_v2,in1k-adv
ese_vovnet19b_dw,in1k
ese_vovnet39b,in1k
fbnetc_100,in1k
gc_efficientnetv2_rw_t,in1k
gcresnet33ts,in1k
gcresnet50t,in1k
gcresnext26ts,in1k
gcresnext50ts,in1k
gernet_l,in1k
gernet_m,in1k
gernet_s,in1k
ghostnet_100,in1k
gluon_inception_v3,in1k
gluon_resnet101_v1b,in1k
gluon_resnet101_v1c,in1k
gluon_resnet101_v1d,in1k
gluon_resnet101_v1s,in1k
gluon_resnet152_v1b,in1k
gluon_resnet152_v1c,in1k
gluon_resnet152_v1d,in1k
gluon_resnet152_v1s,in1k
gluon_resnet18_v1b,in1k
gluon_resnet34_v1b,in1k
gluon_resnet50_v1b,in1k
gluon_resnet50_v1c,in1k
gluon_resnet50_v1d,in1k
gluon_resnet50_v1s,in1k
gluon_resnext101_32x4d,in1k
gluon_resnext101_64x4d,in1k
gluon_resnext50_32x4d,in1k
gluon_senet154,in1k
gluon_seresnext101_32x4d,in1k
gluon_seresnext101_64x4d,in1k
gluon_seresnext50_32x4d,in1k
gluon_xception65,in1k
gmixer_24_224,in1k
gmlp_s16_224,in1k
halonet26t,in1k
halonet50ts,in1k
haloregnetz_b,in1k
hardcorenas_a,in1k
hardcorenas_b,in1k
hardcorenas_c,in1k
hardcorenas_d,in1k
hardcorenas_e,in1k
hardcorenas_f,in1k
hrnet_w18,in1k
hrnet_w18_small,in1k
hrnet_w18_small_v2,in1k
hrnet_w30,in1k
hrnet_w32,in1k
hrnet_w40,in1k
hrnet_w44,in1k
hrnet_w48,in1k
hrnet_w64,in1k
ig_resnext101_32x16d,ig1b-wsl
ig_resnext101_32x32d,ig1b-wsl
ig_resnext101_32x48d,ig1b-wsl
ig_resnext101_32x8d,ig1b-wsl
inception_resnet_v2,in1k
inception_v3,in1k
inception_v4,in1k
jx_nest_base,in1k
jx_nest_small,in1k
jx_nest_tiny,in1k
lambda_resnet26rpt_256,in1k
lambda_resnet26t,in1k
legacy_senet154,in1k
legacy_seresnet101,in1k
legacy_seresnet152,in1k
legacy_seresnet18,in1k
legacy_seresnet34,in1k
legacy_seresnet50,in1k
legacy_seresnext101_32x4d,in1k
legacy_seresnext26_32x4d,in1k
legacy_seresnext50_32x4d,in1k
levit_128,in1k-dist
levit_128s,in1k-dist
levit_192,in1k-dist
levit_256,in1k-dist
levit_384,in1k-dist
mixer_b16_224,in1k
mixer_b16_224_miil,in21k
mixer_l16_224,in1k
mixnet_l,in1k
mixnet_m,in1k
mixnet_s,in1k
mixnet_xl,in1k
mnasnet_100,in1k
mobilenetv2_100,in1k
mobilenetv2_110d,in1k
mobilenetv2_120d,in1k
mobilenetv2_140,in1k
mobilenetv3_large_100,in1k
mobilenetv3_large_100_miil,in21k
mobilenetv3_rw,in1k
nasnetalarge,in1k
nf_regnet_b1,in1k
nf_resnet50,in1k
nfnet_l0,in1k
pit_b_224,in1k
pit_b_distilled_224,in1k-dist
pit_s_224,in1k
pit_s_distilled_224,in1k-dist
pit_ti_224,in1k
pit_ti_distilled_224,in1k-dist
pit_xs_224,in1k
pit_xs_distilled_224,in1k-dist
pnasnet5large,in1k
regnetx_002,in1k
regnetx_004,in1k
regnetx_006,in1k
regnetx_008,in1k
regnetx_016,in1k
regnetx_032,in1k
regnetx_040,in1k
regnetx_064,in1k
regnetx_080,in1k
regnetx_120,in1k
regnetx_160,in1k
regnetx_320,in1k
regnety_002,in1k
regnety_004,in1k
regnety_006,in1k
regnety_008,in1k
regnety_016,in1k
regnety_032,in1k
regnety_040,in1k
regnety_064,in1k
regnety_080,in1k
regnety_120,in1k
regnety_160,in1k
regnety_320,in1k
regnetz_b,in1k
regnetz_c,in1k
regnetz_d,in1k
repvgg_a2,in1k
repvgg_b0,in1k
repvgg_b1,in1k
repvgg_b1g4,in1k
repvgg_b2,in1k
repvgg_b2g4,in1k
repvgg_b3,in1k
repvgg_b3g4,in1k
res2net101_26w_4s,in1k
res2net50_14w_8s,in1k
res2net50_26w_4s,in1k
res2net50_26w_6s,in1k
res2net50_26w_8s,in1k
res2net50_48w_2s,in1k
res2next50,in1k
resmlp_12_224,in1k
resmlp_12_distilled_224,in1k-dist
resmlp_24_224,in1k
resmlp_24_distilled_224,in1k-dist
resmlp_36_224,in1k
resmlp_36_distilled_224,in1k-dist
resmlp_big_24_224,in1k
resmlp_big_24_224_in22ft1k,in21k
resmlp_big_24_distilled_224,in1k-dist
resnest101e,in1k
resnest14d,in1k
resnest200e,in1k
resnest269e,in1k
resnest26d,in1k
resnest50d,in1k
resnest50d_1s4x24d,in1k
resnest50d_4s2x40d,in1k
resnet101d,in1k
resnet152d,in1k
resnet18,in1k
resnet18d,in1k
resnet200d,in1k
resnet26,in1k
resnet26d,in1k
resnet26t,in1k
resnet32ts,in1k
resnet33ts,in1k
resnet34,in1k
resnet34d,in1k
resnet50,in1k
resnet50d,in1k
resnet51q,in1k
resnet61q,in1k
resnetblur50,in1k
resnetrs101,in1k
resnetrs152,in1k
resnetrs200,in1k
resnetrs270,in1k
resnetrs350,in1k
resnetrs420,in1k
resnetrs50,in1k
resnetv2_101,in1k
resnetv2_101x1_bitm,in21k
resnetv2_101x3_bitm,in21k
resnetv2_152x2_bit_teacher,in21k
resnetv2_152x2_bit_teacher_384,in21k
resnetv2_152x2_bitm,in21k
resnetv2_152x4_bitm,in21k
resnetv2_50,in1k
resnetv2_50x1_bit_distilled,in1k-dist
resnetv2_50x1_bitm,in21k
resnetv2_50x3_bitm,in21k
resnext101_32x8d,in1k
resnext26ts,in1k
resnext50_32x4d,in1k
resnext50d_32x4d,in1k
rexnet_100,in1k
rexnet_130,in1k
rexnet_150,in1k
rexnet_200,in1k
sehalonet33ts,in1k
selecsls42b,in1k
selecsls60,in1k
selecsls60b,in1k
semnasnet_100,in1k
seresnet152d,in1k
seresnet33ts,in1k
seresnet50,in1k
seresnext26d_32x4d,in1k
seresnext26t_32x4d,in1k
seresnext26ts,in1k
seresnext50_32x4d,in1k
skresnet18,in1k
skresnet34,in1k
skresnext50_32x4d,in1k
spnasnet_100,in1k
ssl_resnet18,yfc-semisl
ssl_resnet50,yfc-semisl
ssl_resnext101_32x16d,yfc-semisl
ssl_resnext101_32x4d,yfc-semisl
ssl_resnext101_32x8d,yfc-semisl
ssl_resnext50_32x4d,yfc-semisl
swin_base_patch4_window12_384,in21k
swin_base_patch4_window7_224,in21k
swin_large_patch4_window12_384,in21k
swin_large_patch4_window7_224,in21k
swin_small_patch4_window7_224,in1k
swin_tiny_patch4_window7_224,in1k
swsl_resnet18,ig1b-swsl
swsl_resnet50,ig1b-swsl
swsl_resnext101_32x16d,ig1b-swsl
swsl_resnext101_32x4d,ig1b-swsl
swsl_resnext101_32x8d,ig1b-swsl
swsl_resnext50_32x4d,ig1b-swsl
tf_efficientnet_b0,in1k
tf_efficientnet_b0_ap,in1k-ap
tf_efficientnet_b0_ns,jft300m-ns
tf_efficientnet_b1,in1k
tf_efficientnet_b1_ap,in1k-ap
tf_efficientnet_b1_ns,jft300m-ns
tf_efficientnet_b2,in1k
tf_efficientnet_b2_ap,in1k-ap
tf_efficientnet_b2_ns,jft300m-ns
tf_efficientnet_b3,in1k
tf_efficientnet_b3_ap,in1k-ap
tf_efficientnet_b3_ns,jft300m-ns
tf_efficientnet_b4,in1k
tf_efficientnet_b4_ap,in1k-ap
tf_efficientnet_b4_ns,jft300m-ns
tf_efficientnet_b5,in1k
tf_efficientnet_b5_ap,in1k-ap
tf_efficientnet_b5_ns,jft300m-ns
tf_efficientnet_b6,in1k
tf_efficientnet_b6_ap,in1k-ap
tf_efficientnet_b6_ns,jft300m-ns
tf_efficientnet_b7,in1k
tf_efficientnet_b7_ap,in1k-ap
tf_efficientnet_b7_ns,jft300m-ns
tf_efficientnet_b8,in1k
tf_efficientnet_b8_ap,in1k-ap
tf_efficientnet_cc_b0_4e,in1k
tf_efficientnet_cc_b0_8e,in1k
tf_efficientnet_cc_b1_8e,in1k
tf_efficientnet_el,in1k
tf_efficientnet_em,in1k
tf_efficientnet_es,in1k
tf_efficientnet_l2_ns,jft300m-ns
tf_efficientnet_l2_ns_475,jft300m-ns
tf_efficientnet_lite0,in1k
tf_efficientnet_lite1,in1k
tf_efficientnet_lite2,in1k
tf_efficientnet_lite3,in1k
tf_efficientnet_lite4,in1k
tf_efficientnetv2_b0,in1k
tf_efficientnetv2_b1,in1k
tf_efficientnetv2_b2,in1k
tf_efficientnetv2_b3,in1k
tf_efficientnetv2_l,in1k
tf_efficientnetv2_l_in21ft1k,in21k
tf_efficientnetv2_m,in1k
tf_efficientnetv2_m_in21ft1k,in21k
tf_efficientnetv2_s,in1k
tf_efficientnetv2_s_in21ft1k,in21k
tf_efficientnetv2_xl_in21ft1k,in21k
tf_inception_v3,in1k
tf_mixnet_l,in1k
tf_mixnet_m,in1k
tf_mixnet_s,in1k
tf_mobilenetv3_large_075,in1k
tf_mobilenetv3_large_100,in1k
tf_mobilenetv3_large_minimal_100,in1k
tf_mobilenetv3_small_075,in1k
tf_mobilenetv3_small_100,in1k
tf_mobilenetv3_small_minimal_100,in1k
tnt_s_patch16_224,in1k
tresnet_l,in1k
tresnet_l_448,in1k
tresnet_m,in21k
tresnet_m_448,in1k
tresnet_xl,in1k
tresnet_xl_448,in1k
tv_densenet121,in1k
tv_resnet101,in1k
tv_resnet152,in1k
tv_resnet34,in1k
tv_resnet50,in1k
tv_resnext50_32x4d,in1k
twins_pcpvt_base,in1k
twins_pcpvt_large,in1k
twins_pcpvt_small,in1k
twins_svt_base,in1k
twins_svt_large,in1k
twins_svt_small,in1k
vgg11,in1k
vgg11_bn,in1k
vgg13,in1k
vgg13_bn,in1k
vgg16,in1k
vgg16_bn,in1k
vgg19,in1k
vgg19_bn,in1k
visformer_small,in1k
vit_base_patch16_224,in21k
vit_base_patch16_224_miil,in21k
vit_base_patch16_384,in21k
vit_base_patch16_sam_224,in1k
vit_base_patch32_224,in21k
vit_base_patch32_384,in21k
vit_base_patch32_sam_224,in1k
vit_base_r50_s16_384,in21k
vit_large_patch16_224,in21k
vit_large_patch16_384,in21k
vit_large_patch32_384,in21k
vit_large_r50_s32_224,in21k
vit_large_r50_s32_384,in21k
vit_small_patch16_224,in21k
vit_small_patch16_384,in21k
vit_small_patch32_224,in21k
vit_small_patch32_384,in21k
vit_small_r26_s32_224,in21k
vit_small_r26_s32_384,in21k
vit_tiny_patch16_224,in21k
vit_tiny_patch16_384,in21k
vit_tiny_r_s16_p8_224,in21k
vit_tiny_r_s16_p8_384,in21k
wide_resnet101_2,in1k
wide_resnet50_2,in1k
xception,in1k
xception41,in1k
xception65,in1k
xception71,in1k
xcit_large_24_p16_224,in1k
xcit_large_24_p16_224_dist,in1k-dist
xcit_large_24_p16_384_dist,in1k-dist
xcit_large_24_p8_224,in1k
xcit_large_24_p8_224_dist,in1k-dist
xcit_large_24_p8_384_dist,in1k-dist
xcit_medium_24_p16_224,in1k
xcit_medium_24_p16_224_dist,in1k-dist
xcit_medium_24_p16_384_dist,in1k-dist
xcit_medium_24_p8_224,in1k
xcit_medium_24_p8_224_dist,in1k-dist
xcit_medium_24_p8_384_dist,in1k-dist
xcit_nano_12_p16_224,in1k
xcit_nano_12_p16_224_dist,in1k-dist
xcit_nano_12_p16_384_dist,in1k-dist
xcit_nano_12_p8_224,in1k
xcit_nano_12_p8_224_dist,in1k-dist
xcit_nano_12_p8_384_dist,in1k-dist
xcit_small_12_p16_224,in1k
xcit_small_12_p16_224_dist,in1k-dist
xcit_small_12_p16_384_dist,in1k-dist
xcit_small_12_p8_224,in1k
xcit_small_12_p8_224_dist,in1k-dist
xcit_small_12_p8_384_dist,in1k-dist
xcit_small_24_p16_224,in1k
xcit_small_24_p16_224_dist,in1k-dist
xcit_small_24_p16_384_dist,in1k-dist
xcit_small_24_p8_224,in1k
xcit_small_24_p8_224_dist,in1k-dist
xcit_small_24_p8_384_dist,in1k-dist
xcit_tiny_12_p16_224,in1k
xcit_tiny_12_p16_224_dist,in1k-dist
xcit_tiny_12_p16_384_dist,in1k-dist
xcit_tiny_12_p8_224,in1k
xcit_tiny_12_p8_224_dist,in1k-dist
xcit_tiny_12_p8_384_dist,in1k-dist
xcit_tiny_24_p16_224,in1k
xcit_tiny_24_p16_224_dist,in1k-dist
xcit_tiny_24_p16_384_dist,in1k-dist
xcit_tiny_24_p8_224,in1k
xcit_tiny_24_p8_224_dist,in1k-dist
xcit_tiny_24_p8_384_dist,in1k-dist
1 model pretrain
2 adv_inception_v3 in1k-adv
3 bat_resnext26ts in1k
4 beit_base_patch16_224 in21k-selfsl
5 beit_base_patch16_384 in21k-selfsl
6 beit_large_patch16_224 in21k-selfsl
7 beit_large_patch16_384 in21k-selfsl
8 beit_large_patch16_512 in21k-selfsl
9 botnet26t_256 in1k
10 cait_m36_384 in1k-dist
11 cait_m48_448 in1k-dist
12 cait_s24_224 in1k-dist
13 cait_s24_384 in1k-dist
14 cait_s36_384 in1k-dist
15 cait_xs24_384 in1k-dist
16 cait_xxs24_224 in1k-dist
17 cait_xxs24_384 in1k-dist
18 cait_xxs36_224 in1k-dist
19 cait_xxs36_384 in1k-dist
20 coat_lite_mini in1k
21 coat_lite_small in1k
22 coat_lite_tiny in1k
23 coat_mini in1k
24 coat_tiny in1k
25 convit_base in1k
26 convit_small in1k
27 convit_tiny in1k
28 convmixer_1024_20_ks9_p14 in1k
29 convmixer_1536_20 in1k
30 convmixer_768_32 in1k
31 crossvit_15_240 in1k
32 crossvit_15_dagger_240 in1k
33 crossvit_15_dagger_408 in1k
34 crossvit_18_240 in1k
35 crossvit_18_dagger_240 in1k
36 crossvit_18_dagger_408 in1k
37 crossvit_9_240 in1k
38 crossvit_9_dagger_240 in1k
39 crossvit_base_240 in1k
40 crossvit_small_240 in1k
41 crossvit_tiny_240 in1k
42 cspdarknet53 in1k
43 cspresnet50 in1k
44 cspresnext50 in1k
45 deit_base_distilled_patch16_224 in1k-dist
46 deit_base_distilled_patch16_384 in1k-dist
47 deit_base_patch16_224 in1k
48 deit_base_patch16_384 in1k
49 deit_small_distilled_patch16_224 in1k-dist
50 deit_small_patch16_224 in1k
51 deit_tiny_distilled_patch16_224 in1k-dist
52 deit_tiny_patch16_224 in1k
53 densenet121 in1k
54 densenet161 in1k
55 densenet169 in1k
56 densenet201 in1k
57 densenetblur121d in1k
58 dla102 in1k
59 dla102x in1k
60 dla102x2 in1k
61 dla169 in1k
62 dla34 in1k
63 dla46_c in1k
64 dla46x_c in1k
65 dla60 in1k
66 dla60_res2net in1k
67 dla60_res2next in1k
68 dla60x in1k
69 dla60x_c in1k
70 dm_nfnet_f0 in1k
71 dm_nfnet_f1 in1k
72 dm_nfnet_f2 in1k
73 dm_nfnet_f3 in1k
74 dm_nfnet_f4 in1k
75 dm_nfnet_f5 in1k
76 dm_nfnet_f6 in1k
77 dpn107 in1k
78 dpn131 in1k
79 dpn68 in1k
80 dpn68b in1k
81 dpn92 in1k
82 dpn98 in1k
83 eca_botnext26ts_256 in1k
84 eca_halonext26ts in1k
85 eca_nfnet_l0 in1k
86 eca_nfnet_l1 in1k
87 eca_nfnet_l2 in1k
88 eca_resnet33ts in1k
89 eca_resnext26ts in1k
90 ecaresnet101d in1k
91 ecaresnet101d_pruned in1k
92 ecaresnet269d in1k
93 ecaresnet26t in1k
94 ecaresnet50d in1k
95 ecaresnet50d_pruned in1k
96 ecaresnet50t in1k
97 ecaresnetlight in1k
98 efficientnet_b0 in1k
99 efficientnet_b1 in1k
100 efficientnet_b1_pruned in1k
101 efficientnet_b2 in1k
102 efficientnet_b2_pruned in1k
103 efficientnet_b3 in1k
104 efficientnet_b3_pruned in1k
105 efficientnet_b4 in1k
106 efficientnet_el in1k
107 efficientnet_el_pruned in1k
108 efficientnet_em in1k
109 efficientnet_es in1k
110 efficientnet_es_pruned in1k
111 efficientnet_lite0 in1k
112 efficientnetv2_rw_m in1k
113 efficientnetv2_rw_s in1k
114 efficientnetv2_rw_t in1k
115 ens_adv_inception_resnet_v2 in1k-adv
116 ese_vovnet19b_dw in1k
117 ese_vovnet39b in1k
118 fbnetc_100 in1k
119 gc_efficientnetv2_rw_t in1k
120 gcresnet33ts in1k
121 gcresnet50t in1k
122 gcresnext26ts in1k
123 gcresnext50ts in1k
124 gernet_l in1k
125 gernet_m in1k
126 gernet_s in1k
127 ghostnet_100 in1k
128 gluon_inception_v3 in1k
129 gluon_resnet101_v1b in1k
130 gluon_resnet101_v1c in1k
131 gluon_resnet101_v1d in1k
132 gluon_resnet101_v1s in1k
133 gluon_resnet152_v1b in1k
134 gluon_resnet152_v1c in1k
135 gluon_resnet152_v1d in1k
136 gluon_resnet152_v1s in1k
137 gluon_resnet18_v1b in1k
138 gluon_resnet34_v1b in1k
139 gluon_resnet50_v1b in1k
140 gluon_resnet50_v1c in1k
141 gluon_resnet50_v1d in1k
142 gluon_resnet50_v1s in1k
143 gluon_resnext101_32x4d in1k
144 gluon_resnext101_64x4d in1k
145 gluon_resnext50_32x4d in1k
146 gluon_senet154 in1k
147 gluon_seresnext101_32x4d in1k
148 gluon_seresnext101_64x4d in1k
149 gluon_seresnext50_32x4d in1k
150 gluon_xception65 in1k
151 gmixer_24_224 in1k
152 gmlp_s16_224 in1k
153 halonet26t in1k
154 halonet50ts in1k
155 haloregnetz_b in1k
156 hardcorenas_a in1k
157 hardcorenas_b in1k
158 hardcorenas_c in1k
159 hardcorenas_d in1k
160 hardcorenas_e in1k
161 hardcorenas_f in1k
162 hrnet_w18 in1k
163 hrnet_w18_small in1k
164 hrnet_w18_small_v2 in1k
165 hrnet_w30 in1k
166 hrnet_w32 in1k
167 hrnet_w40 in1k
168 hrnet_w44 in1k
169 hrnet_w48 in1k
170 hrnet_w64 in1k
171 ig_resnext101_32x16d ig1b-wsl
172 ig_resnext101_32x32d ig1b-wsl
173 ig_resnext101_32x48d ig1b-wsl
174 ig_resnext101_32x8d ig1b-wsl
175 inception_resnet_v2 in1k
176 inception_v3 in1k
177 inception_v4 in1k
178 jx_nest_base in1k
179 jx_nest_small in1k
180 jx_nest_tiny in1k
181 lambda_resnet26rpt_256 in1k
182 lambda_resnet26t in1k
183 legacy_senet154 in1k
184 legacy_seresnet101 in1k
185 legacy_seresnet152 in1k
186 legacy_seresnet18 in1k
187 legacy_seresnet34 in1k
188 legacy_seresnet50 in1k
189 legacy_seresnext101_32x4d in1k
190 legacy_seresnext26_32x4d in1k
191 legacy_seresnext50_32x4d in1k
192 levit_128 in1k-dist
193 levit_128s in1k-dist
194 levit_192 in1k-dist
195 levit_256 in1k-dist
196 levit_384 in1k-dist
197 mixer_b16_224 in1k
198 mixer_b16_224_miil in21k
199 mixer_l16_224 in1k
200 mixnet_l in1k
201 mixnet_m in1k
202 mixnet_s in1k
203 mixnet_xl in1k
204 mnasnet_100 in1k
205 mobilenetv2_100 in1k
206 mobilenetv2_110d in1k
207 mobilenetv2_120d in1k
208 mobilenetv2_140 in1k
209 mobilenetv3_large_100 in1k
210 mobilenetv3_large_100_miil in21k
211 mobilenetv3_rw in1k
212 nasnetalarge in1k
213 nf_regnet_b1 in1k
214 nf_resnet50 in1k
215 nfnet_l0 in1k
216 pit_b_224 in1k
217 pit_b_distilled_224 in1k-dist
218 pit_s_224 in1k
219 pit_s_distilled_224 in1k-dist
220 pit_ti_224 in1k
221 pit_ti_distilled_224 in1k-dist
222 pit_xs_224 in1k
223 pit_xs_distilled_224 in1k-dist
224 pnasnet5large in1k
225 regnetx_002 in1k
226 regnetx_004 in1k
227 regnetx_006 in1k
228 regnetx_008 in1k
229 regnetx_016 in1k
230 regnetx_032 in1k
231 regnetx_040 in1k
232 regnetx_064 in1k
233 regnetx_080 in1k
234 regnetx_120 in1k
235 regnetx_160 in1k
236 regnetx_320 in1k
237 regnety_002 in1k
238 regnety_004 in1k
239 regnety_006 in1k
240 regnety_008 in1k
241 regnety_016 in1k
242 regnety_032 in1k
243 regnety_040 in1k
244 regnety_064 in1k
245 regnety_080 in1k
246 regnety_120 in1k
247 regnety_160 in1k
248 regnety_320 in1k
249 regnetz_b in1k
250 regnetz_c in1k
251 regnetz_d in1k
252 repvgg_a2 in1k
253 repvgg_b0 in1k
254 repvgg_b1 in1k
255 repvgg_b1g4 in1k
256 repvgg_b2 in1k
257 repvgg_b2g4 in1k
258 repvgg_b3 in1k
259 repvgg_b3g4 in1k
260 res2net101_26w_4s in1k
261 res2net50_14w_8s in1k
262 res2net50_26w_4s in1k
263 res2net50_26w_6s in1k
264 res2net50_26w_8s in1k
265 res2net50_48w_2s in1k
266 res2next50 in1k
267 resmlp_12_224 in1k
268 resmlp_12_distilled_224 in1k-dist
269 resmlp_24_224 in1k
270 resmlp_24_distilled_224 in1k-dist
271 resmlp_36_224 in1k
272 resmlp_36_distilled_224 in1k-dist
273 resmlp_big_24_224 in1k
274 resmlp_big_24_224_in22ft1k in21k
275 resmlp_big_24_distilled_224 in1k-dist
276 resnest101e in1k
277 resnest14d in1k
278 resnest200e in1k
279 resnest269e in1k
280 resnest26d in1k
281 resnest50d in1k
282 resnest50d_1s4x24d in1k
283 resnest50d_4s2x40d in1k
284 resnet101d in1k
285 resnet152d in1k
286 resnet18 in1k
287 resnet18d in1k
288 resnet200d in1k
289 resnet26 in1k
290 resnet26d in1k
291 resnet26t in1k
292 resnet32ts in1k
293 resnet33ts in1k
294 resnet34 in1k
295 resnet34d in1k
296 resnet50 in1k
297 resnet50d in1k
298 resnet51q in1k
299 resnet61q in1k
300 resnetblur50 in1k
301 resnetrs101 in1k
302 resnetrs152 in1k
303 resnetrs200 in1k
304 resnetrs270 in1k
305 resnetrs350 in1k
306 resnetrs420 in1k
307 resnetrs50 in1k
308 resnetv2_101 in1k
309 resnetv2_101x1_bitm in21k
310 resnetv2_101x3_bitm in21k
311 resnetv2_152x2_bit_teacher in21k
312 resnetv2_152x2_bit_teacher_384 in21k
313 resnetv2_152x2_bitm in21k
314 resnetv2_152x4_bitm in21k
315 resnetv2_50 in1k
316 resnetv2_50x1_bit_distilled in1k-dist
317 resnetv2_50x1_bitm in21k
318 resnetv2_50x3_bitm in21k
319 resnext101_32x8d in1k
320 resnext26ts in1k
321 resnext50_32x4d in1k
322 resnext50d_32x4d in1k
323 rexnet_100 in1k
324 rexnet_130 in1k
325 rexnet_150 in1k
326 rexnet_200 in1k
327 sehalonet33ts in1k
328 selecsls42b in1k
329 selecsls60 in1k
330 selecsls60b in1k
331 semnasnet_100 in1k
332 seresnet152d in1k
333 seresnet33ts in1k
334 seresnet50 in1k
335 seresnext26d_32x4d in1k
336 seresnext26t_32x4d in1k
337 seresnext26ts in1k
338 seresnext50_32x4d in1k
339 skresnet18 in1k
340 skresnet34 in1k
341 skresnext50_32x4d in1k
342 spnasnet_100 in1k
343 ssl_resnet18 yfc-semisl
344 ssl_resnet50 yfc-semisl
345 ssl_resnext101_32x16d yfc-semisl
346 ssl_resnext101_32x4d yfc-semisl
347 ssl_resnext101_32x8d yfc-semisl
348 ssl_resnext50_32x4d yfc-semisl
349 swin_base_patch4_window12_384 in21k
350 swin_base_patch4_window7_224 in21k
351 swin_large_patch4_window12_384 in21k
352 swin_large_patch4_window7_224 in21k
353 swin_small_patch4_window7_224 in1k
354 swin_tiny_patch4_window7_224 in1k
355 swsl_resnet18 ig1b-swsl
356 swsl_resnet50 ig1b-swsl
357 swsl_resnext101_32x16d ig1b-swsl
358 swsl_resnext101_32x4d ig1b-swsl
359 swsl_resnext101_32x8d ig1b-swsl
360 swsl_resnext50_32x4d ig1b-swsl
361 tf_efficientnet_b0 in1k
362 tf_efficientnet_b0_ap in1k-ap
363 tf_efficientnet_b0_ns jft300m-ns
364 tf_efficientnet_b1 in1k
365 tf_efficientnet_b1_ap in1k-ap
366 tf_efficientnet_b1_ns jft300m-ns
367 tf_efficientnet_b2 in1k
368 tf_efficientnet_b2_ap in1k-ap
369 tf_efficientnet_b2_ns jft300m-ns
370 tf_efficientnet_b3 in1k
371 tf_efficientnet_b3_ap in1k-ap
372 tf_efficientnet_b3_ns jft300m-ns
373 tf_efficientnet_b4 in1k
374 tf_efficientnet_b4_ap in1k-ap
375 tf_efficientnet_b4_ns jft300m-ns
376 tf_efficientnet_b5 in1k
377 tf_efficientnet_b5_ap in1k-ap
378 tf_efficientnet_b5_ns jft300m-ns
379 tf_efficientnet_b6 in1k
380 tf_efficientnet_b6_ap in1k-ap
381 tf_efficientnet_b6_ns jft300m-ns
382 tf_efficientnet_b7 in1k
383 tf_efficientnet_b7_ap in1k-ap
384 tf_efficientnet_b7_ns jft300m-ns
385 tf_efficientnet_b8 in1k
386 tf_efficientnet_b8_ap in1k-ap
387 tf_efficientnet_cc_b0_4e in1k
388 tf_efficientnet_cc_b0_8e in1k
389 tf_efficientnet_cc_b1_8e in1k
390 tf_efficientnet_el in1k
391 tf_efficientnet_em in1k
392 tf_efficientnet_es in1k
393 tf_efficientnet_l2_ns jft300m-ns
394 tf_efficientnet_l2_ns_475 jft300m-ns
395 tf_efficientnet_lite0 in1k
396 tf_efficientnet_lite1 in1k
397 tf_efficientnet_lite2 in1k
398 tf_efficientnet_lite3 in1k
399 tf_efficientnet_lite4 in1k
400 tf_efficientnetv2_b0 in1k
401 tf_efficientnetv2_b1 in1k
402 tf_efficientnetv2_b2 in1k
403 tf_efficientnetv2_b3 in1k
404 tf_efficientnetv2_l in1k
405 tf_efficientnetv2_l_in21ft1k in21k
406 tf_efficientnetv2_m in1k
407 tf_efficientnetv2_m_in21ft1k in21k
408 tf_efficientnetv2_s in1k
409 tf_efficientnetv2_s_in21ft1k in21k
410 tf_efficientnetv2_xl_in21ft1k in21k
411 tf_inception_v3 in1k
412 tf_mixnet_l in1k
413 tf_mixnet_m in1k
414 tf_mixnet_s in1k
415 tf_mobilenetv3_large_075 in1k
416 tf_mobilenetv3_large_100 in1k
417 tf_mobilenetv3_large_minimal_100 in1k
418 tf_mobilenetv3_small_075 in1k
419 tf_mobilenetv3_small_100 in1k
420 tf_mobilenetv3_small_minimal_100 in1k
421 tnt_s_patch16_224 in1k
422 tresnet_l in1k
423 tresnet_l_448 in1k
424 tresnet_m in21k
425 tresnet_m_448 in1k
426 tresnet_xl in1k
427 tresnet_xl_448 in1k
428 tv_densenet121 in1k
429 tv_resnet101 in1k
430 tv_resnet152 in1k
431 tv_resnet34 in1k
432 tv_resnet50 in1k
433 tv_resnext50_32x4d in1k
434 twins_pcpvt_base in1k
435 twins_pcpvt_large in1k
436 twins_pcpvt_small in1k
437 twins_svt_base in1k
438 twins_svt_large in1k
439 twins_svt_small in1k
440 vgg11 in1k
441 vgg11_bn in1k
442 vgg13 in1k
443 vgg13_bn in1k
444 vgg16 in1k
445 vgg16_bn in1k
446 vgg19 in1k
447 vgg19_bn in1k
448 visformer_small in1k
449 vit_base_patch16_224 in21k
450 vit_base_patch16_224_miil in21k
451 vit_base_patch16_384 in21k
452 vit_base_patch16_sam_224 in1k
453 vit_base_patch32_224 in21k
454 vit_base_patch32_384 in21k
455 vit_base_patch32_sam_224 in1k
456 vit_base_r50_s16_384 in21k
457 vit_large_patch16_224 in21k
458 vit_large_patch16_384 in21k
459 vit_large_patch32_384 in21k
460 vit_large_r50_s32_224 in21k
461 vit_large_r50_s32_384 in21k
462 vit_small_patch16_224 in21k
463 vit_small_patch16_384 in21k
464 vit_small_patch32_224 in21k
465 vit_small_patch32_384 in21k
466 vit_small_r26_s32_224 in21k
467 vit_small_r26_s32_384 in21k
468 vit_tiny_patch16_224 in21k
469 vit_tiny_patch16_384 in21k
470 vit_tiny_r_s16_p8_224 in21k
471 vit_tiny_r_s16_p8_384 in21k
472 wide_resnet101_2 in1k
473 wide_resnet50_2 in1k
474 xception in1k
475 xception41 in1k
476 xception65 in1k
477 xception71 in1k
478 xcit_large_24_p16_224 in1k
479 xcit_large_24_p16_224_dist in1k-dist
480 xcit_large_24_p16_384_dist in1k-dist
481 xcit_large_24_p8_224 in1k
482 xcit_large_24_p8_224_dist in1k-dist
483 xcit_large_24_p8_384_dist in1k-dist
484 xcit_medium_24_p16_224 in1k
485 xcit_medium_24_p16_224_dist in1k-dist
486 xcit_medium_24_p16_384_dist in1k-dist
487 xcit_medium_24_p8_224 in1k
488 xcit_medium_24_p8_224_dist in1k-dist
489 xcit_medium_24_p8_384_dist in1k-dist
490 xcit_nano_12_p16_224 in1k
491 xcit_nano_12_p16_224_dist in1k-dist
492 xcit_nano_12_p16_384_dist in1k-dist
493 xcit_nano_12_p8_224 in1k
494 xcit_nano_12_p8_224_dist in1k-dist
495 xcit_nano_12_p8_384_dist in1k-dist
496 xcit_small_12_p16_224 in1k
497 xcit_small_12_p16_224_dist in1k-dist
498 xcit_small_12_p16_384_dist in1k-dist
499 xcit_small_12_p8_224 in1k
500 xcit_small_12_p8_224_dist in1k-dist
501 xcit_small_12_p8_384_dist in1k-dist
502 xcit_small_24_p16_224 in1k
503 xcit_small_24_p16_224_dist in1k-dist
504 xcit_small_24_p16_384_dist in1k-dist
505 xcit_small_24_p8_224 in1k
506 xcit_small_24_p8_224_dist in1k-dist
507 xcit_small_24_p8_384_dist in1k-dist
508 xcit_tiny_12_p16_224 in1k
509 xcit_tiny_12_p16_224_dist in1k-dist
510 xcit_tiny_12_p16_384_dist in1k-dist
511 xcit_tiny_12_p8_224 in1k
512 xcit_tiny_12_p8_224_dist in1k-dist
513 xcit_tiny_12_p8_384_dist in1k-dist
514 xcit_tiny_24_p16_224 in1k
515 xcit_tiny_24_p16_224_dist in1k-dist
516 xcit_tiny_24_p16_384_dist in1k-dist
517 xcit_tiny_24_p8_224 in1k
518 xcit_tiny_24_p8_224_dist in1k-dist
519 xcit_tiny_24_p8_384_dist in1k-dist
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