diff --git a/results/model_benchmark_amp_nchw_rtx3090.csv b/results/model_benchmark_amp_nchw_rtx3090.csv
index f13b032e..12f3505b 100644
--- a/results/model_benchmark_amp_nchw_rtx3090.csv
+++ b/results/model_benchmark_amp_nchw_rtx3090.csv
@@ -1,528 +1,704 @@
 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
-lambda_resnet50ts,1554.98,164.616,256,256,5.07,17.48,21.54
-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
-lamhalobotnet50ts_256,1390.79,184.054,256,256,5.02,18.44,22.57
-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
-halo2botnet50ts_256,1247.07,205.268,256,256,5.02,21.78,22.64
-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
+tinynet_e,38522.1,6.633,256,106,0.03,0.69,2.04
+mobilenetv3_small_050,32214.84,7.935,256,224,0.03,0.92,1.59
+lcnet_035,31434.42,8.133,256,224,0.03,1.04,1.64
+lcnet_050,27990.74,9.135,256,224,0.05,1.26,1.88
+tf_mobilenetv3_small_minimal_100,24613.65,10.389,256,224,0.06,1.41,2.04
+mobilenetv3_small_075,23970.62,10.668,256,224,0.05,1.3,2.04
+tinynet_d,22226.54,11.506,256,152,0.05,1.42,2.34
+mobilenetv3_small_100,20961.66,12.202,256,224,0.06,1.42,2.54
+tf_mobilenetv3_small_075,20346.43,12.57,256,224,0.05,1.3,2.04
+tf_mobilenetv3_small_100,18514.72,13.814,256,224,0.06,1.42,2.54
+lcnet_075,18250.57,14.016,256,224,0.1,1.99,2.36
+levit_128s,17514.74,14.605,256,224,0.31,1.88,7.78
+mnasnet_small,16174.2,15.817,256,224,0.07,2.16,2.03
+mobilenetv2_035,16065.18,15.924,256,224,0.07,2.86,1.68
+regnetx_002,15056.58,16.991,256,224,0.2,2.16,2.68
+ghostnet_050,14915.33,17.152,256,224,0.05,1.77,2.59
+lcnet_100,14745.93,17.35,256,224,0.16,2.52,2.95
+regnety_002,13600.49,18.812,256,224,0.2,2.17,3.16
+mobilenetv2_050,12921.59,19.8,256,224,0.1,3.64,1.97
+mnasnet_050,12170.95,21.022,256,224,0.11,3.07,2.22
+levit_128,12112.09,21.125,256,224,0.41,2.71,9.21
+semnasnet_050,11653.92,21.956,256,224,0.11,3.44,2.08
+tinynet_c,11441.66,22.362,256,184,0.11,2.87,2.46
+levit_192,10512.15,24.341,256,224,0.66,3.2,10.95
+gernet_s,10252.23,24.96,256,224,0.75,2.65,8.17
+mixer_s32_224,9991.39,25.611,256,224,1.0,2.28,19.1
+mobilenetv3_large_075,9848.53,25.983,256,224,0.16,4.0,3.99
+ese_vovnet19b_slim_dw,9567.57,26.746,256,224,0.4,5.28,1.9
+lcnet_150,9561.66,26.763,256,224,0.34,3.79,4.5
+vit_small_patch32_224,9406.05,27.206,256,224,1.15,2.5,22.88
+regnetx_004,9291.08,27.542,256,224,0.4,3.14,5.16
+tf_mobilenetv3_large_minimal_100,9242.84,27.684,256,224,0.22,4.4,3.92
+tf_mobilenetv3_large_075,8812.22,29.037,256,224,0.16,4.0,3.99
+mobilenetv3_rw,8698.97,29.417,256,224,0.23,4.41,5.48
+vit_tiny_r_s16_p8_224,8636.97,29.629,256,224,0.44,2.06,6.34
+mobilenetv3_large_100,8617.52,29.696,256,224,0.23,4.41,5.48
+mobilenetv3_large_100_miil,8613.51,29.709,256,224,0.23,4.41,5.48
+ssl_resnet18,8520.11,30.036,256,224,1.82,2.48,11.69
+gluon_resnet18_v1b,8514.08,30.057,256,224,1.82,2.48,11.69
+resnet18,8481.72,30.171,256,224,1.82,2.48,11.69
+swsl_resnet18,8383.36,30.526,256,224,1.82,2.48,11.69
+ghostnet_100,8302.41,30.823,256,224,0.15,3.55,5.18
+mobilenetv2_075,8284.54,30.89,256,224,0.22,5.86,2.64
+mnasnet_075,8193.74,31.233,256,224,0.23,4.77,3.17
+seresnet18,7935.21,32.25,256,224,1.82,2.49,11.78
+levit_256,7830.25,32.682,256,224,1.13,4.23,18.89
+tf_mobilenetv3_large_100,7782.64,32.881,256,224,0.23,4.41,5.48
+legacy_seresnet18,7750.12,33.02,256,224,1.82,2.49,11.78
+regnetx_006,7679.18,33.326,256,224,0.61,3.98,6.2
+semnasnet_075,7673.81,33.35,256,224,0.23,5.54,2.91
+mobilenetv2_100,7580.19,33.761,256,224,0.31,6.68,3.5
+regnety_004,7520.0,34.031,256,224,0.41,3.89,4.34
+tinynet_b,7462.13,34.294,256,188,0.21,4.44,3.73
+hardcorenas_a,7310.63,35.006,256,224,0.23,4.38,5.26
+hardcorenas_b,7243.65,35.33,256,224,0.26,5.09,5.18
+mnasnet_100,7211.43,35.488,256,224,0.33,5.46,4.38
+mnasnet_b1,7197.57,35.556,256,224,0.33,5.46,4.38
+resnet18d,7139.78,35.845,256,224,2.06,3.29,11.71
+mnasnet_a1,6803.23,37.618,256,224,0.32,6.23,3.89
+ghostnet_130,6799.96,37.636,256,224,0.24,4.6,7.36
+semnasnet_100,6798.37,37.645,256,224,0.32,6.23,3.89
+hardcorenas_c,6791.21,37.684,256,224,0.28,5.01,5.52
+spnasnet_100,6742.99,37.955,256,224,0.35,6.03,4.42
+regnety_006,6741.6,37.962,256,224,0.61,4.33,6.06
+ese_vovnet19b_slim,6727.44,38.04,256,224,1.69,3.52,3.17
+hardcorenas_d,6616.74,38.678,256,224,0.3,4.93,7.5
+tf_efficientnetv2_b0,6404.53,39.959,256,224,0.73,4.77,7.14
+regnetx_008,6126.62,41.774,256,224,0.81,5.15,7.26
+efficientnet_lite0,5820.53,43.971,256,224,0.4,6.74,4.65
+dla46_c,5815.5,44.006,256,224,0.58,4.5,1.3
+resnetblur18,5731.2,44.657,256,224,2.34,3.39,11.69
+mobilenetv2_110d,5728.31,44.679,256,224,0.45,8.71,4.52
+tinynet_a,5715.04,44.781,256,192,0.35,5.41,6.19
+rexnet_100,5705.81,44.855,256,224,0.41,7.44,4.8
+rexnetr_100,5702.38,44.882,256,224,0.43,7.72,4.88
+hardcorenas_f,5633.4,45.432,256,224,0.35,5.57,8.2
+regnety_008,5562.41,46.011,256,224,0.81,5.25,6.26
+hardcorenas_e,5407.35,47.331,256,224,0.35,5.65,8.07
+fbnetc_100,5335.41,47.97,256,224,0.4,6.51,5.57
+skresnet18,5314.32,48.161,256,224,1.82,3.24,11.96
+tf_efficientnet_lite0,5277.93,48.492,256,224,0.4,6.74,4.65
+efficientnet_b0,5118.94,50.0,256,224,0.4,6.75,5.29
+mobilenetv2_140,5111.46,50.073,256,224,0.6,9.57,6.11
+ese_vovnet19b_dw,5070.62,50.475,256,224,1.34,8.25,6.54
+mnasnet_140,5006.18,51.125,256,224,0.6,7.71,7.12
+efficientnet_b1_pruned,5001.01,51.178,256,240,0.4,6.21,6.33
+resnet34,4971.16,51.486,256,224,3.67,3.74,21.8
+gluon_resnet34_v1b,4968.4,51.515,256,224,3.67,3.74,21.8
+tv_resnet34,4947.3,51.734,256,224,3.67,3.74,21.8
+visformer_tiny,4922.23,51.997,256,224,1.27,5.72,10.32
+hrnet_w18_small,4823.01,53.067,256,224,1.61,5.72,13.19
+semnasnet_140,4792.63,53.404,256,224,0.6,8.87,6.11
+levit_384,4732.88,54.078,256,224,2.36,6.26,39.13
+tf_efficientnet_b0_ns,4689.2,54.583,256,224,0.4,6.75,5.29
+tf_efficientnet_b0_ap,4677.78,54.715,256,224,0.4,6.75,5.29
+tf_efficientnet_b0,4677.33,54.72,256,224,0.4,6.75,5.29
+seresnet34,4638.93,55.174,256,224,3.67,3.74,21.96
+selecsls42b,4636.17,55.206,256,224,2.98,4.62,32.46
+dla46x_c,4631.52,55.26,256,224,0.54,5.66,1.07
+selecsls42,4604.3,55.589,256,224,2.94,4.62,30.35
+deit_tiny_patch16_224,4580.12,55.882,256,224,1.26,5.97,5.72
+vit_tiny_patch16_224,4575.68,55.937,256,224,1.26,5.97,5.72
+gernet_m,4537.32,56.41,256,224,3.02,5.24,21.14
+deit_tiny_distilled_patch16_224,4513.87,56.702,256,224,1.27,6.01,5.91
+nf_regnet_b0,4512.73,56.717,256,256,0.64,5.58,8.76
+legacy_seresnet34,4498.05,56.902,256,224,3.67,3.74,21.96
+resnet34d,4471.13,57.245,256,224,3.91,4.54,21.82
+rexnetr_130,4425.1,57.84,256,224,0.68,9.81,7.61
+pit_ti_distilled_224,4357.18,58.742,256,224,0.71,6.23,5.1
+pit_ti_224,4345.5,58.9,256,224,0.7,6.19,4.85
+mixnet_s,4322.59,59.212,256,224,0.25,6.25,4.13
+dla60x_c,4316.36,59.296,256,224,0.59,6.01,1.32
+tf_efficientnetv2_b1,4297.02,59.563,256,240,1.21,7.34,8.14
+rexnet_130,4232.23,60.476,256,224,0.68,9.71,7.56
+xcit_nano_12_p16_224_dist,4222.67,60.614,256,224,0.56,4.17,3.05
+xcit_nano_12_p16_224,4207.85,60.827,256,224,0.56,4.17,3.05
+resnet26,4180.52,61.224,256,224,2.36,7.35,16.0
+resmlp_12_distilled_224,4174.74,61.31,256,224,3.01,5.5,15.35
+resmlp_12_224,4169.39,61.389,256,224,3.01,5.5,15.35
+mobilenetv2_120d,4149.08,61.689,256,224,0.69,11.97,5.83
+vit_base_patch32_224_sam,4128.66,61.994,256,224,4.41,5.01,88.22
+vit_base_patch32_224,4107.27,62.317,256,224,4.41,5.01,88.22
+tf_mixnet_s,4070.89,62.873,256,224,0.25,6.25,4.13
+repvgg_b0,4034.35,63.443,256,224,3.41,6.15,15.82
+mixer_b32_224,3992.12,64.115,256,224,3.24,6.29,60.29
+selecsls60,3976.19,64.371,256,224,3.59,5.52,30.67
+selecsls60b,3972.94,64.425,256,224,3.63,5.52,32.77
+rexnetr_150,3836.3,66.719,256,224,0.89,11.13,9.78
+efficientnet_lite1,3836.28,66.719,256,240,0.62,10.14,5.42
+resnet26d,3798.91,67.377,256,224,2.6,8.15,16.01
+dla34,3769.64,67.899,256,224,3.07,5.02,15.74
+rexnet_150,3681.94,69.516,256,224,0.9,11.21,9.73
+ecaresnet50d_pruned,3648.06,70.162,256,224,2.53,6.43,19.94
+nf_resnet26,3644.75,70.227,256,224,2.41,7.35,16.0
+tf_efficientnet_lite1,3554.59,72.006,256,240,0.62,10.14,5.42
+pit_xs_224,3526.31,72.586,256,224,1.4,7.71,10.62
+regnetx_016,3513.85,72.844,256,224,1.62,7.93,9.19
+pit_xs_distilled_224,3500.42,73.123,256,224,1.41,7.76,11.0
+fbnetv3_d,3391.58,75.47,256,256,0.68,11.1,10.31
+efficientnet_es_pruned,3370.79,75.934,256,224,1.81,8.73,5.44
+fbnetv3_b,3370.57,75.939,256,256,0.55,9.1,8.6
+efficientnet_es,3367.33,76.013,256,224,1.81,8.73,5.44
+efficientnet_b2_pruned,3361.3,76.15,256,260,0.73,9.13,8.31
+efficientnet_cc_b0_8e,3277.21,78.103,256,224,0.42,9.42,24.01
+mixer_s16_224,3266.14,78.369,256,224,3.79,5.97,18.53
+efficientnet_cc_b0_4e,3265.3,78.389,256,224,0.41,9.42,13.31
+tf_efficientnet_es,3259.95,78.516,256,224,1.81,8.73,5.44
+tf_efficientnetv2_b2,3255.37,78.626,256,260,1.72,9.84,10.1
+resnest14d,3217.37,79.556,256,224,2.76,7.33,10.61
+nf_seresnet26,3202.97,79.914,256,224,2.41,7.36,17.4
+nf_ecaresnet26,3189.01,80.265,256,224,2.41,7.36,16.0
+gernet_l,3181.93,80.443,256,256,4.57,8.0,31.08
+regnety_016,3102.97,82.489,256,224,1.63,8.04,11.2
+tf_efficientnet_cc_b0_8e,3093.44,82.743,256,224,0.42,9.42,24.01
+tf_efficientnet_cc_b0_4e,3085.55,82.954,256,224,0.41,9.42,13.31
+mixnet_m,3056.44,83.746,256,224,0.36,8.19,5.01
+skresnet34,3030.56,84.459,256,224,3.67,5.13,22.28
+resnext26ts,3023.16,84.668,256,256,2.43,10.52,10.3
+repvgg_a2,3004.59,85.192,256,224,5.7,6.26,28.21
+vit_tiny_r_s16_p8_384,3002.92,85.238,256,384,1.34,6.49,6.36
+legacy_seresnext26_32x4d,3001.06,85.291,256,224,2.49,9.39,16.79
+vit_small_patch32_384,2997.9,85.382,256,384,3.45,8.25,22.92
+xcit_tiny_12_p16_224_dist,2978.68,85.929,256,224,1.24,6.29,6.72
+xcit_tiny_12_p16_224,2968.51,86.225,256,224,1.24,6.29,6.72
+resnet26t,2964.54,86.343,256,256,3.35,10.52,16.01
+gmixer_12_224,2952.25,86.702,256,224,2.67,7.26,12.7
+seresnext26ts,2943.83,86.951,256,256,2.43,10.52,10.39
+eca_resnext26ts,2943.35,86.964,256,256,2.43,10.52,10.3
+efficientnet_lite2,2941.13,87.03,256,260,0.89,12.9,6.09
+tf_efficientnet_b1_ap,2928.7,87.399,256,240,0.71,10.88,7.79
+tf_efficientnet_b1,2924.32,87.53,256,240,0.71,10.88,7.79
+tf_efficientnet_b1_ns,2924.08,87.537,256,240,0.71,10.88,7.79
+tf_mixnet_m,2922.35,87.587,256,224,0.36,8.19,5.01
+gcresnext26ts,2878.37,88.928,256,256,2.43,10.53,10.48
+efficientnet_b1,2842.35,90.055,256,256,0.77,12.22,7.79
+ecaresnet101d_pruned,2827.84,90.516,256,224,3.48,7.69,24.88
+seresnext26tn_32x4d,2809.03,91.123,256,224,2.7,10.09,16.81
+ecaresnext50t_32x4d,2808.18,91.151,256,224,2.7,10.09,15.41
+seresnext26t_32x4d,2807.76,91.164,256,224,2.7,10.09,16.81
+ecaresnext26t_32x4d,2799.26,91.441,256,224,2.7,10.09,15.41
+seresnext26d_32x4d,2790.46,91.729,256,224,2.73,10.19,16.81
+ecaresnetlight,2759.56,92.757,256,224,4.11,8.42,30.16
+rexnetr_200,2747.9,93.151,256,224,1.59,15.11,16.52
+nf_regnet_b2,2743.38,93.303,256,272,1.22,9.27,14.31
+tf_efficientnet_lite2,2742.42,93.334,256,260,0.89,12.9,6.09
+nf_regnet_b1,2740.87,93.389,256,288,1.02,9.2,10.22
+crossvit_tiny_240,2729.62,93.771,256,240,1.57,9.08,7.01
+resnetv2_50,2688.33,95.214,256,224,4.11,11.11,25.55
+rexnet_200,2686.43,95.282,256,224,1.56,14.91,16.37
+crossvit_9_240,2684.97,95.332,256,240,1.85,9.52,8.55
+eca_botnext26ts_256,2675.06,95.687,256,256,2.46,11.6,10.59
+vgg11,2663.05,96.12,256,224,7.61,7.44,132.86
+botnet26t_256,2660.83,96.197,256,256,3.32,11.98,12.49
+tresnet_m,2657.08,96.334,256,224,5.74,7.31,31.39
+eca_halonext26ts,2619.52,97.716,256,256,2.44,11.46,10.76
+halonet26t,2612.17,97.992,256,256,3.19,11.69,12.48
+crossvit_9_dagger_240,2602.86,98.339,256,240,1.99,9.97,8.78
+efficientnet_b3_pruned,2602.84,98.342,256,300,1.04,11.86,9.86
+resnet50,2602.03,98.373,256,224,4.11,11.11,25.56
+tv_resnet50,2597.64,98.539,256,224,4.11,11.11,25.56
+gluon_resnet50_v1b,2593.37,98.702,256,224,4.11,11.11,25.56
+ssl_resnet50,2588.68,98.881,256,224,4.11,11.11,25.56
+swsl_resnet50,2588.5,98.887,256,224,4.11,11.11,25.56
+convit_tiny,2557.96,100.066,256,224,1.26,7.94,5.71
+vovnet39a,2552.48,100.283,256,224,7.09,6.73,22.6
+resnetv2_50t,2536.73,100.905,256,224,4.32,11.82,25.57
+resnetv2_50d,2523.31,101.442,256,224,4.35,11.92,25.57
+resnet32ts,2520.72,101.547,256,256,4.63,11.58,17.96
+resnet33ts,2487.04,102.921,256,256,4.76,11.66,19.68
+bat_resnext26ts,2486.58,102.938,256,256,2.53,12.51,10.73
+vit_small_resnet26d_224,2484.66,103.019,256,224,5.07,11.12,63.61
+ese_vovnet39b,2483.84,103.055,256,224,7.09,6.74,24.57
+cspresnet50,2476.24,103.369,256,256,4.54,11.5,21.62
+eca_vovnet39b,2474.83,103.43,256,224,7.09,6.74,22.6
+hrnet_w18_small_v2,2473.49,103.485,256,224,2.62,9.65,15.6
+gluon_resnet50_v1c,2461.53,103.989,256,224,4.35,11.92,25.58
+cspresnext50,2459.33,104.08,256,224,3.1,12.14,20.57
+resnet50t,2452.68,104.364,256,224,4.32,11.82,25.57
+gluon_resnet50_v1d,2447.81,104.572,256,224,4.35,11.92,25.58
+resnet50d,2444.17,104.728,256,224,4.35,11.92,25.58
+dpn68b,2437.01,105.034,256,224,2.35,10.47,12.61
+legacy_seresnet50,2425.37,105.54,256,224,3.88,10.6,28.09
+gmlp_ti16_224,2422.83,105.65,256,224,1.34,7.55,5.87
+seresnet33ts,2418.32,105.847,256,256,4.76,11.66,19.78
+eca_resnet33ts,2414.21,106.028,256,256,4.76,11.66,19.68
+dpn68,2412.98,106.079,256,224,2.35,10.47,12.61
+selecsls84,2409.11,106.251,256,224,5.9,7.57,50.95
+vgg11_bn,2392.35,106.996,256,224,7.62,7.44,132.87
+mixnet_l,2360.8,108.426,256,224,0.58,10.84,7.33
+gcresnet33ts,2355.59,108.666,256,256,4.76,11.68,19.88
+lambda_resnet26t,2353.44,108.765,256,256,3.02,11.87,10.96
+pit_s_224,2338.74,109.449,256,224,2.88,11.56,23.46
+dla60,2331.19,109.802,256,224,4.26,10.16,22.04
+cspresnet50w,2330.53,109.833,256,256,5.04,12.19,28.12
+seresnet50,2324.39,110.125,256,224,4.11,11.13,28.09
+resnest26d,2321.38,110.267,256,224,3.64,9.97,17.07
+pit_s_distilled_224,2320.78,110.295,256,224,2.9,11.64,24.04
+cspresnet50d,2313.66,110.634,256,256,4.86,12.55,21.64
+deit_small_patch16_224,2312.17,110.706,256,224,4.61,11.95,22.05
+vit_small_patch16_224,2301.45,111.22,256,224,4.61,11.95,22.05
+deit_small_distilled_patch16_224,2273.38,112.595,256,224,4.63,12.02,22.44
+tf_efficientnet_b2_ap,2266.39,112.943,256,260,1.02,13.83,9.11
+tf_efficientnet_b2,2265.35,112.996,256,260,1.02,13.83,9.11
+tf_efficientnet_b2_ns,2264.55,113.035,256,260,1.02,13.83,9.11
+tf_mixnet_l,2263.46,113.087,256,224,0.58,10.84,7.33
+densenet121,2251.23,113.702,256,224,2.87,6.9,7.98
+res2net50_48w_2s,2244.59,114.041,256,224,4.18,11.72,25.29
+tv_densenet121,2243.68,114.087,256,224,2.87,6.9,7.98
+resnetaa50d,2224.41,115.074,256,224,5.39,12.44,25.58
+seresnet50t,2204.01,116.141,256,224,4.32,11.83,28.1
+resnetblur50,2197.45,116.486,256,224,5.16,12.02,25.56
+haloregnetz_b,2191.27,116.814,256,224,1.97,11.94,11.68
+ecaresnet50d,2187.04,117.042,256,224,4.35,11.93,25.58
+resnetrs50,2155.43,118.757,256,224,4.48,12.14,35.69
+densenet121d,2152.18,118.936,256,224,3.11,7.7,8.0
+gluon_resnet50_v1s,2129.0,120.233,256,224,5.47,13.52,25.68
+visformer_small,2128.36,120.269,256,224,4.88,11.43,40.22
+resmlp_24_224,2126.97,120.348,256,224,5.96,10.91,30.02
+efficientnet_b2a,2125.57,120.427,256,288,1.12,16.2,9.11
+resmlp_24_distilled_224,2124.32,120.497,256,224,5.96,10.91,30.02
+efficientnet_b2,2121.96,120.632,256,288,1.12,16.2,9.11
+regnetx_032,2121.9,120.635,256,224,3.2,11.37,15.3
+adv_inception_v3,2116.52,120.939,256,299,5.73,8.97,23.83
+gluon_inception_v3,2110.53,121.285,256,299,5.73,8.97,23.83
+inception_v3,2106.47,121.518,256,299,5.73,8.97,23.83
+tf_inception_v3,2102.15,121.765,256,299,5.73,8.97,23.83
+vovnet57a,2101.83,121.786,256,224,8.95,7.52,36.64
+resnetblur50d,2086.08,122.707,256,224,5.4,12.82,25.58
+efficientnet_em,2080.04,123.062,256,240,3.04,14.34,6.9
+efficientnet_cc_b1_8e,2060.35,124.238,256,240,0.75,15.44,39.72
+cspresnext50_iabn,2046.67,125.068,256,256,4.02,15.86,20.57
+densenetblur121d,2045.46,125.142,256,224,3.11,7.9,8.0
+tf_efficientnet_em,2031.54,125.998,256,240,3.04,14.34,6.9
+vit_base_resnet26d_224,2020.03,126.719,256,224,6.97,13.16,101.4
+ese_vovnet57b,2017.2,126.896,256,224,8.95,7.52,38.61
+ssl_resnext50_32x4d,2016.48,126.942,256,224,4.26,14.4,25.03
+swsl_resnext50_32x4d,2014.9,127.042,256,224,4.26,14.4,25.03
+seresnetaa50d,2014.43,127.071,256,224,5.4,12.46,28.11
+gluon_resnext50_32x4d,2013.28,127.144,256,224,4.26,14.4,25.03
+tv_resnext50_32x4d,2010.77,127.303,256,224,4.26,14.4,25.03
+resnext50_32x4d,2010.4,127.325,256,224,4.26,14.4,25.03
+tf_efficientnet_cc_b1_8e,1970.45,129.905,256,240,0.75,15.44,39.72
+cspdarknet53_iabn,1958.85,130.675,256,256,6.53,16.81,27.64
+dla60x,1947.14,131.46,256,224,3.54,13.8,17.35
+regnetx_040,1940.97,131.881,256,224,3.99,12.2,22.12
+skresnet50,1940.94,131.882,256,224,4.11,12.5,25.8
+nf_seresnet50,1937.18,132.139,256,224,4.21,11.13,28.09
+nf_ecaresnet50,1931.32,132.54,256,224,4.21,11.13,25.56
+res2net50_26w_4s,1927.67,132.79,256,224,4.28,12.61,25.7
+tf_efficientnetv2_b3,1921.68,133.203,256,300,3.04,15.74,14.36
+resnext50d_32x4d,1917.13,133.521,256,224,4.5,15.2,25.05
+regnety_040,1911.7,133.9,256,224,4.0,12.29,20.65
+gcresnet50t,1897.82,134.88,256,256,5.42,14.67,25.9
+efficientnetv2_rw_t,1893.97,135.153,256,288,3.19,16.42,13.65
+sehalonet33ts,1881.49,136.051,256,256,3.55,14.7,13.69
+lambda_resnet26rpt_256,1854.82,138.007,256,256,3.16,11.87,10.99
+skresnet50d,1849.16,138.429,256,224,4.36,13.31,25.82
+gcresnext50ts,1842.39,138.938,256,256,3.75,15.46,15.67
+seresnext50_32x4d,1842.11,138.958,256,224,4.26,14.42,27.56
+gluon_seresnext50_32x4d,1836.43,139.388,256,224,4.26,14.42,27.56
+dla60_res2net,1834.89,139.503,256,224,4.15,12.34,20.85
+legacy_seresnext50_32x4d,1833.54,139.608,256,224,4.26,14.42,27.56
+resnest50d_1s4x24d,1830.82,139.816,256,224,4.43,13.57,25.68
+repvgg_b1g4,1821.65,140.52,256,224,8.15,10.64,39.97
+darknet53,1820.66,140.594,256,256,9.31,12.39,41.61
+densenet169,1814.76,141.051,256,224,3.4,7.3,14.15
+gc_efficientnetv2_rw_t,1812.58,141.223,256,288,3.2,16.45,13.68
+res2net50_14w_8s,1809.09,141.495,256,224,4.21,13.28,25.06
+coat_lite_tiny,1803.47,141.935,256,224,1.6,11.65,5.72
+res2next50,1798.23,142.351,256,224,4.2,13.71,24.67
+cspdarknet53,1759.27,145.502,256,256,6.57,16.81,27.64
+ecaresnet26t,1753.56,145.977,256,320,5.24,16.44,16.01
+dla60_res2next,1751.16,146.174,256,224,3.49,13.17,17.03
+efficientnet_lite3,1747.68,146.468,256,300,1.65,21.85,8.2
+nf_regnet_b3,1737.85,147.296,256,320,2.05,14.61,18.59
+vgg13,1734.82,147.554,256,224,11.31,12.25,133.05
+regnetz_b16,1724.03,148.477,256,288,2.39,16.43,9.72
+coat_lite_mini,1717.28,149.059,256,224,2.0,12.25,11.01
+mixnet_xl,1685.34,151.886,256,224,0.93,14.57,11.9
+vit_small_r26_s32_224,1673.77,152.936,256,224,3.56,9.85,36.43
+sebotnet33ts_256,1634.05,156.655,256,256,3.89,17.46,13.7
+resnetv2_101,1630.31,157.012,256,224,7.83,16.23,44.54
+tf_efficientnet_lite3,1628.65,157.171,256,300,1.65,21.85,8.2
+convnext_tiny,1599.8,160.006,256,224,4.47,13.44,28.59
+tv_resnet101,1599.73,160.015,256,224,7.83,16.23,44.55
+gluon_resnet101_v1b,1599.19,160.07,256,224,7.83,16.23,44.55
+convnext_tiny_hnf,1598.61,160.125,256,224,4.47,13.44,28.59
+resnet101,1594.14,160.576,256,224,7.83,16.23,44.55
+xcit_tiny_24_p16_224_dist,1587.39,161.257,256,224,2.34,11.82,12.12
+xcit_tiny_24_p16_224,1582.27,161.779,256,224,2.34,11.82,12.12
+repvgg_b1,1574.77,162.553,256,224,13.16,10.64,57.42
+resnetv2_101d,1569.58,163.088,256,224,8.07,17.04,44.56
+xcit_small_12_p16_224_dist,1568.96,163.153,256,224,4.82,12.58,26.25
+xcit_small_12_p16_224,1566.49,163.411,256,224,4.82,12.58,26.25
+vit_base_resnet50d_224,1557.57,164.346,256,224,8.73,16.92,110.97
+resnest50d,1550.54,165.09,256,224,5.4,14.36,27.48
+gluon_resnet101_v1c,1550.28,165.12,256,224,8.08,17.04,44.57
+lambda_resnet50ts,1550.05,165.145,256,256,5.07,17.48,21.54
+vgg13_bn,1545.09,165.675,256,224,11.33,12.25,133.05
+gluon_resnet101_v1d,1542.32,165.972,256,224,8.08,17.04,44.57
+dla102,1542.08,165.995,256,224,7.19,14.18,33.27
+twins_svt_small,1526.51,167.691,256,224,2.94,13.75,24.06
+wide_resnet50_2,1515.12,168.952,256,224,11.43,14.4,68.88
+gmixer_24_224,1503.65,170.24,256,224,5.28,14.45,24.72
+resnetv2_50x1_bit_distilled,1496.53,171.051,256,224,4.23,11.11,25.55
+regnetx_080,1491.93,171.578,256,224,8.02,14.06,39.57
+xcit_nano_12_p16_384_dist,1489.5,171.858,256,384,1.64,12.15,3.05
+crossvit_small_240,1472.6,173.826,256,240,5.63,18.17,26.86
+res2net50_26w_6s,1468.77,174.282,256,224,6.33,15.28,37.05
+legacy_seresnet101,1466.72,174.527,256,224,7.61,15.74,49.33
+halonet50ts,1459.14,175.434,256,256,5.3,19.2,22.73
+resnetaa101d,1449.52,176.598,256,224,9.12,17.56,44.57
+fbnetv3_g,1435.53,178.32,256,288,1.77,21.09,16.62
+seresnet101,1425.31,179.597,256,224,7.84,16.27,49.33
+resmlp_36_224,1423.79,179.791,256,224,8.91,16.33,44.69
+resmlp_36_distilled_224,1422.98,179.892,256,224,8.91,16.33,44.69
+regnetx_064,1422.54,179.948,256,224,6.49,16.37,26.21
+resnetv2_50d_gn,1422.29,179.98,256,224,4.38,11.92,25.57
+densenet201,1416.58,180.704,256,224,4.34,7.85,20.01
+vit_large_patch32_224,1414.43,180.979,256,224,15.39,13.3,306.54
+gluon_resnet101_v1s,1407.4,181.883,256,224,9.19,18.64,44.67
+vgg16,1399.33,182.931,256,224,15.47,13.56,138.36
+lamhalobotnet50ts_256,1392.5,183.829,256,256,5.02,18.44,22.57
+resnetblur101d,1390.53,184.088,256,224,9.12,17.94,44.57
+nf_resnet50,1387.13,184.542,256,288,6.88,18.37,25.56
+nf_resnet101,1387.03,184.555,256,224,8.01,16.23,44.55
+ecaresnet101d,1375.85,186.054,256,224,8.08,17.07,44.57
+vit_base_r26_s32_224,1374.54,186.232,256,224,6.81,12.36,101.38
+regnety_032,1353.73,189.095,256,288,5.29,18.61,19.44
+crossvit_15_240,1351.08,189.465,256,240,5.81,19.77,27.53
+tresnet_l,1350.23,189.586,256,224,10.88,11.9,55.99
+gmlp_s16_224,1343.26,190.569,256,224,4.42,15.1,19.42
+tf_efficientnet_b3,1341.98,190.75,256,300,1.87,23.83,12.23
+tf_efficientnet_b3_ns,1340.42,190.973,256,300,1.87,23.83,12.23
+tf_efficientnet_b3_ap,1339.36,191.124,256,300,1.87,23.83,12.23
+resnet51q,1338.83,191.2,256,288,8.07,20.94,35.7
+hrnet_w18,1335.83,191.629,256,224,4.32,16.31,21.3
+vit_base_patch32_384,1328.33,192.713,256,384,13.06,16.5,88.3
+resnet50_gn,1327.88,192.777,256,224,4.14,11.11,25.56
+mixer_l32_224,1318.62,194.131,256,224,11.27,19.86,206.94
+xception,1316.52,194.441,256,299,8.4,35.83,22.86
+crossvit_15_dagger_240,1308.42,195.641,256,240,6.13,20.43,28.21
+dla102x,1302.91,196.468,256,224,5.89,19.42,26.31
+efficientnet_b3a,1302.53,196.528,256,320,2.01,26.52,12.23
+efficientnet_b3,1301.42,196.696,256,320,2.01,26.52,12.23
+botnet50ts_256,1288.18,198.716,256,256,5.54,22.23,22.74
+cait_xxs24_224,1287.06,198.889,256,224,2.53,20.29,11.96
+mixer_b16_224_miil,1283.42,199.455,256,224,12.62,14.53,59.88
+mixer_b16_224,1283.22,199.487,256,224,12.62,14.53,59.88
+skresnext50_32x4d,1276.26,200.574,256,224,4.5,17.18,27.48
+regnety_064,1272.95,201.095,256,224,6.39,16.41,30.58
+swsl_resnext101_32x4d,1266.33,202.147,256,224,8.01,21.23,44.18
+ssl_resnext101_32x4d,1265.67,202.252,256,224,8.01,21.23,44.18
+gluon_resnext101_32x4d,1265.25,202.319,256,224,8.01,21.23,44.18
+resnext101_32x4d,1264.74,202.401,256,224,8.01,21.23,44.18
+vgg16_bn,1261.15,202.977,256,224,15.5,13.56,138.37
+repvgg_b2g4,1251.52,204.539,256,224,12.63,12.9,61.76
+halo2botnet50ts_256,1248.54,205.028,256,256,5.02,21.78,22.64
+swin_tiny_patch4_window7_224,1248.01,205.115,256,224,4.51,17.06,28.29
+twins_pcpvt_small,1232.89,207.63,256,224,3.83,18.08,24.11
+regnety_080,1232.57,207.684,256,224,8.0,17.97,39.18
+resnest50d_4s2x40d,1216.47,210.433,256,224,4.4,17.94,30.42
+resnet61q,1209.86,211.583,256,288,9.87,21.52,36.85
+nf_seresnet101,1194.71,214.265,256,224,8.02,16.27,49.33
+ese_vovnet99b_iabn,1193.74,214.438,256,224,16.49,11.27,63.2
+nf_ecaresnet101,1193.13,214.55,256,224,8.01,16.27,44.55
+res2net50_26w_8s,1192.34,214.692,256,224,8.37,17.95,48.4
+eca_nfnet_l0,1189.26,215.246,256,288,7.12,17.29,24.14
+res2net101_26w_4s,1189.12,215.272,256,224,8.1,18.45,45.21
+nfnet_l0,1185.85,215.867,256,288,7.13,17.29,35.07
+dpn92,1179.85,216.965,256,224,6.54,18.21,37.67
+vit_tiny_patch16_384,1177.29,217.437,256,384,4.7,25.39,5.79
+convit_small,1173.71,218.096,256,224,5.76,17.87,27.78
+ese_vovnet99b,1158.79,220.908,256,224,16.51,11.27,63.2
+vgg19,1152.83,222.048,256,224,19.63,14.86,143.67
+seresnext101_32x4d,1152.16,222.18,256,224,8.02,21.26,48.96
+resnetv2_50d_evob,1150.91,222.42,256,224,4.33,11.92,25.59
+gluon_seresnext101_32x4d,1150.75,222.451,256,224,8.02,21.26,48.96
+legacy_seresnext101_32x4d,1150.68,222.464,256,224,8.02,21.26,48.96
+ese_vovnet39b_evos,1144.38,223.689,256,224,7.07,6.74,24.58
+hrnet_w32,1140.5,224.45,256,224,8.97,22.02,41.23
+resnetv2_152,1132.73,225.989,256,224,11.55,22.56,60.19
+xcit_nano_12_p8_224_dist,1129.67,226.602,256,224,2.16,15.71,3.05
+xcit_nano_12_p8_224,1124.18,227.71,256,224,2.16,15.71,3.05
+hrnet_w30,1121.05,228.345,256,224,8.15,21.21,37.71
+tv_resnet152,1117.27,229.117,256,224,11.56,22.56,60.19
+resnet152,1114.93,229.598,256,224,11.56,22.56,60.19
+gluon_resnet152_v1b,1112.41,230.118,256,224,11.56,22.56,60.19
+ecaresnet50t,1109.44,230.735,256,320,8.82,24.13,25.57
+regnetz_c16,1104.72,231.72,256,320,3.92,25.88,13.46
+resnetv2_152d,1101.83,232.328,256,224,11.8,23.36,60.2
+gluon_resnet152_v1c,1092.12,234.395,256,224,11.8,23.36,60.21
+repvgg_b2,1089.82,234.89,256,224,20.45,12.9,89.02
+gluon_resnet152_v1d,1082.98,236.373,256,224,11.8,23.36,60.21
+vgg19_bn,1079.7,237.091,256,224,19.66,14.86,143.68
+densenet161,1075.45,238.026,256,224,7.79,11.06,28.68
+xception41,1067.64,239.769,256,299,9.28,39.86,26.97
+mixnet_xxl,1054.35,242.792,256,224,2.04,23.43,23.96
+inception_v4,1054.27,242.81,256,299,12.28,15.09,42.68
+vit_small_resnet50d_s16_224,1053.44,243.001,256,224,13.48,24.82,57.53
+convmixer_1024_20_ks9_p14,1045.16,244.926,256,224,5.55,5.51,24.38
+dla169,1043.58,245.295,256,224,11.6,20.2,53.39
+nfnet_f0s,1043.56,245.302,256,256,12.62,18.05,71.49
+xcit_tiny_12_p16_384_dist,1043.38,245.342,256,384,3.64,18.26,6.72
+convnext_small,1038.48,246.501,256,224,8.7,21.56,50.22
+nfnet_f0,1038.01,246.613,256,256,12.62,18.05,71.49
+regnetx_120,1028.4,248.918,256,224,12.13,21.37,46.11
+nest_tiny,1021.17,250.679,256,224,5.83,25.48,17.06
+gluon_resnet152_v1s,1020.83,250.763,256,224,12.92,24.96,60.32
+coat_lite_small,1016.77,251.763,256,224,3.96,22.09,19.84
+legacy_seresnet152,1013.05,252.688,256,224,11.33,22.08,66.82
+repvgg_b3g4,1008.62,253.799,256,224,17.89,15.1,83.83
+jx_nest_tiny,1008.04,253.946,256,224,5.83,25.48,17.06
+vit_base_patch16_224_miil,1007.66,254.043,256,224,17.58,23.9,86.54
+crossvit_18_240,995.59,257.12,256,240,9.05,26.26,43.27
+seresnet152,990.73,258.382,256,224,11.57,22.61,66.82
+resnetv2_50d_evos,987.09,259.336,256,224,4.33,11.92,25.59
+vit_base_patch16_224_sam,982.02,260.673,256,224,17.58,23.9,86.57
+tresnet_xl,981.28,260.87,256,224,15.17,15.34,78.44
+regnety_120,981.1,260.919,256,224,12.14,21.38,51.82
+deit_base_patch16_224,980.91,260.97,256,224,17.58,23.9,86.57
+vit_base_patch16_224,978.17,261.701,256,224,17.58,23.9,86.57
+deit_base_distilled_patch16_224,975.08,262.528,256,224,17.68,24.05,87.34
+crossvit_18_dagger_240,969.31,264.09,256,240,9.5,27.03,44.27
+efficientnet_el,926.41,276.325,256,300,8.0,30.7,10.59
+efficientnet_el_pruned,925.7,276.536,256,300,8.0,30.7,10.59
+tf_efficientnet_el,907.79,281.986,256,300,8.0,30.7,10.59
+dm_nfnet_f0,904.97,282.867,256,256,12.62,18.05,71.49
+beit_base_patch16_224,904.15,283.123,256,224,17.58,23.9,86.53
+twins_pcpvt_base,902.77,283.561,256,224,6.68,25.25,43.83
+dla102x2,892.56,286.801,256,224,9.34,29.91,41.28
+efficientnetv2_s,884.22,289.51,256,384,8.44,35.77,21.46
+twins_svt_base,881.96,290.252,256,224,8.59,26.33,56.07
+wide_resnet101_2,875.33,292.449,256,224,22.8,21.23,126.89
+tf_efficientnetv2_s_in21ft1k,864.32,296.172,256,384,8.44,35.77,21.46
+cait_xxs36_224,863.8,296.351,256,224,3.77,30.34,17.3
+tf_efficientnetv2_s,863.76,296.365,256,384,8.44,35.77,21.46
+resnetrs101,852.6,300.247,256,288,13.56,28.53,63.62
+repvgg_b3,844.81,303.013,256,224,29.16,15.1,123.09
+efficientnetv2_rw_s,841.56,304.183,256,384,8.72,38.03,23.94
+dpn98,838.93,305.139,256,224,11.73,25.2,61.57
+pit_b_distilled_224,837.59,305.628,256,224,12.5,33.07,74.79
+pit_b_224,836.04,306.193,256,224,12.42,32.94,73.76
+regnetx_160,833.81,307.013,256,224,15.99,25.52,54.28
+xcit_small_24_p16_224_dist,833.22,307.225,256,224,9.1,23.64,47.67
+xcit_small_24_p16_224,831.56,307.841,256,224,9.1,23.64,47.67
+inception_resnet_v2,830.74,308.147,256,299,13.18,25.06,55.84
+ens_adv_inception_resnet_v2,830.17,308.358,256,299,13.18,25.06,55.84
+regnetz_d8,827.41,309.386,256,320,6.19,37.08,23.37
+nf_regnet_b4,822.49,311.237,256,384,4.7,28.61,30.21
+swin_small_patch4_window7_224,808.44,316.649,256,224,8.77,27.47,49.61
+efficientnet_lite4,804.5,318.199,256,380,4.04,45.66,13.01
+gluon_resnext101_64x4d,802.95,318.813,256,224,15.52,31.21,83.46
+resnext101_64x4d,801.6,319.349,256,224,15.52,31.21,83.46
+resnet200,795.01,321.996,256,224,15.07,32.19,64.67
+xcit_tiny_12_p8_224_dist,792.9,322.851,256,224,4.81,23.6,6.71
+xcit_tiny_12_p8_224,791.66,323.355,256,224,4.81,23.6,6.71
+gluon_xception65,782.06,327.33,256,299,13.96,52.48,39.92
+convnext_base_in22ft1k,778.5,328.824,256,224,15.38,28.75,88.59
+convnext_base,777.8,329.119,256,224,15.38,28.75,88.59
+xception65,776.49,329.678,256,299,13.96,52.48,39.92
+ssl_resnext101_32x8d,773.95,330.757,256,224,16.48,31.21,88.79
+swsl_resnext101_32x8d,773.24,331.062,256,224,16.48,31.21,88.79
+resnext101_32x8d,772.71,331.288,256,224,16.48,31.21,88.79
+ig_resnext101_32x8d,772.07,331.562,256,224,16.48,31.21,88.79
+resnet101d,769.32,332.747,256,320,16.48,34.77,44.57
+hrnet_w40,767.4,333.582,256,224,12.75,25.29,57.56
+tf_efficientnet_lite4,762.16,335.871,256,380,4.04,45.66,13.01
+resnest101e,757.06,338.138,256,256,13.38,28.66,48.28
+gluon_seresnext101_64x4d,754.82,339.139,256,224,15.53,31.25,88.23
+seresnext101_32x8d,729.3,351.006,256,224,16.48,31.25,93.57
+cait_s24_224,717.85,356.607,256,224,9.35,40.58,46.92
+hrnet_w48,714.5,358.278,256,224,17.34,28.56,77.47
+hrnet_w44,713.57,358.746,256,224,14.94,26.92,67.06
+tresnet_m_448,711.59,359.746,256,448,22.94,29.21,31.39
+regnetz_d32,706.63,362.269,256,320,9.33,37.08,27.58
+coat_tiny,706.1,362.539,256,224,4.35,27.2,5.5
+nest_small,681.35,375.712,256,224,10.35,40.04,38.35
+vit_large_r50_s32_224,679.9,376.512,256,224,19.58,24.41,328.99
+jx_nest_small,675.59,378.914,256,224,10.35,40.04,38.35
+twins_svt_large,672.39,380.718,256,224,15.15,35.1,99.27
+crossvit_base_240,669.47,382.378,256,240,21.22,36.33,105.03
+efficientnet_b4,667.37,383.583,256,384,4.51,50.04,19.34
+twins_pcpvt_large,655.12,390.752,256,224,9.84,35.82,60.99
+gmlp_b16_224,643.01,398.116,256,224,15.78,30.21,73.08
+densenet264d_iabn,638.28,401.062,256,224,13.47,14.0,72.74
+tf_efficientnet_b4,637.3,401.68,256,380,4.49,49.49,19.34
+tf_efficientnet_b4_ap,636.89,401.944,256,380,4.49,49.49,19.34
+tf_efficientnet_b4_ns,636.28,402.323,256,380,4.49,49.49,19.34
+convit_base,621.54,411.866,256,224,17.52,31.77,86.54
+densenet264,620.68,412.433,256,224,12.95,12.8,72.69
+dpn131,617.53,414.539,256,224,16.09,32.97,79.25
+swin_base_patch4_window7_224,616.27,415.39,256,224,15.47,36.63,87.77
+xcit_medium_24_p16_224_dist,612.37,418.035,256,224,16.13,31.71,84.4
+xcit_medium_24_p16_224,612.25,418.117,256,224,16.13,31.71,84.4
+vit_small_patch16_384,593.83,431.086,256,384,15.52,50.78,22.2
+coat_mini,591.16,433.03,256,224,6.82,33.68,10.34
+xception71,588.93,434.671,256,299,18.09,69.92,42.34
+vit_small_r26_s32_384,574.79,445.365,256,384,10.43,29.85,36.47
+hrnet_w64,567.27,451.268,256,224,28.97,35.09,128.06
+dpn107,564.61,453.398,256,224,18.38,33.46,86.92
+eca_nfnet_l1,558.87,458.051,256,320,14.92,34.42,41.41
+senet154,557.21,459.42,256,224,20.77,38.69,115.09
+vit_base_r50_s16_224,556.92,459.655,256,224,21.66,35.29,98.66
+gluon_senet154,556.63,459.899,256,224,20.77,38.69,115.09
+legacy_senet154,554.67,461.525,256,224,20.77,38.69,115.09
+xcit_tiny_24_p16_384_dist,554.63,461.554,256,384,6.87,34.29,12.12
+xcit_small_12_p16_384_dist,546.42,468.488,256,384,14.14,36.51,26.25
+resnet152d,540.83,473.331,256,320,24.08,47.67,60.21
+seresnet200d,537.6,476.175,256,256,20.01,43.15,71.86
+ecaresnet200d,537.5,476.265,256,256,20.0,43.15,64.69
+regnety_320,520.96,491.382,256,224,32.34,30.26,145.05
+nest_base,514.48,497.58,256,224,17.96,53.39,67.72
+regnety_160,513.33,498.688,256,288,26.37,38.07,83.59
+jx_nest_base,510.61,501.344,256,224,17.96,53.39,67.72
+tnt_s_patch16_224,491.14,521.218,256,224,5.24,24.37,23.76
+seresnet152d,484.32,528.565,256,320,24.09,47.72,66.84
+resnetrs152,479.63,533.736,256,320,24.34,48.14,86.62
+convnext_large,469.79,544.914,256,224,34.4,43.13,197.77
+convnext_large_in22ft1k,468.89,545.96,256,224,34.4,43.13,197.77
+regnetx_320,458.91,557.836,256,224,31.81,36.3,107.81
+halonet_h1,456.22,561.121,256,256,3.0,51.17,8.1
+vit_large_patch32_384,455.24,562.325,256,384,45.31,43.86,306.63
+efficientnetv2_m,448.05,571.353,256,416,18.6,67.5,54.14
+regnetz_e8,441.39,579.972,256,320,15.46,63.94,57.7
+mixer_l16_224,428.45,597.494,256,224,44.6,41.69,208.2
+seresnet269d,419.5,610.23,256,256,26.59,53.6,113.67
+nf_regnet_b5,418.97,611.004,256,456,11.7,61.95,49.74
+xcit_tiny_24_p8_224,417.22,613.573,256,224,9.21,45.39,12.11
+xcit_tiny_24_p8_224_dist,416.09,615.239,256,224,9.21,45.39,12.11
+xcit_small_12_p8_224,415.7,615.812,256,224,18.69,47.21,26.21
+xcit_small_12_p8_224_dist,414.47,617.648,256,224,18.69,47.21,26.21
+efficientnetv2_rw_m,401.01,638.372,256,416,21.49,79.62,53.24
+resnet200d,390.11,656.216,256,320,31.25,67.33,64.69
+resnetv2_50x1_bitm,388.79,658.439,256,448,16.62,44.46,25.55
+tnt_b_patch16_224,387.0,661.483,256,224,14.09,39.01,65.41
+xcit_nano_12_p8_384_dist,385.68,663.749,256,384,6.34,46.08,3.05
+swin_large_patch4_window7_224,383.12,668.188,256,224,34.53,54.94,196.53
+nfnet_f1s,376.13,680.6,256,320,35.97,46.77,132.63
+nfnet_f1,374.75,683.103,256,320,35.97,46.77,132.63
+xcit_large_24_p16_224,373.32,685.729,256,224,35.86,47.27,189.1
+xcit_large_24_p16_224_dist,372.9,686.493,256,224,35.86,47.27,189.1
+ssl_resnext101_32x16d,364.85,701.653,256,224,36.27,51.18,194.03
+ig_resnext101_32x16d,364.28,702.733,256,224,36.27,51.18,194.03
+swsl_resnext101_32x16d,364.28,702.739,256,224,36.27,51.18,194.03
+tresnet_l_448,351.48,728.329,256,448,43.5,47.56,55.99
+resnetrs200,347.71,736.231,256,320,31.51,67.81,93.21
+tf_efficientnetv2_m,339.44,754.17,256,480,24.76,89.84,54.14
+tf_efficientnetv2_m_in21ft1k,338.69,755.846,256,480,24.76,89.84,54.14
+regnetz_d8_evob,337.57,758.355,256,320,6.12,37.08,23.41
+efficientnet_b5,330.43,774.739,256,456,10.46,98.86,30.39
+vit_large_patch16_224,328.99,778.119,256,224,61.6,63.52,304.33
+dm_nfnet_f1,328.44,779.437,256,320,35.97,46.77,132.63
+convnext_xlarge_in22ft1k,319.16,802.079,256,224,60.97,57.5,350.2
+tf_efficientnet_b5,318.33,804.192,256,456,10.46,98.86,30.39
+tf_efficientnet_b5_ap,317.92,805.231,256,456,10.46,98.86,30.39
+tf_efficientnet_b5_ns,317.77,805.609,256,456,10.46,98.86,30.39
+crossvit_15_dagger_408,307.3,833.049,256,408,21.45,95.05,28.5
+beit_large_patch16_224,302.42,846.497,256,224,61.6,63.52,304.43
+xcit_small_24_p16_384_dist,290.22,882.071,256,384,26.72,68.58,47.67
+convmixer_768_32,283.01,904.552,256,224,19.55,25.95,21.11
+eca_nfnet_l2,276.43,926.087,256,384,30.05,68.28,56.72
+regnetz_d8_evos,272.53,939.333,256,320,7.03,38.92,23.46
+resnetv2_152x2_bit_teacher,270.79,945.382,256,224,46.95,45.11,236.34
+xcit_tiny_12_p8_384_dist,269.38,950.319,256,384,14.13,69.14,6.71
+convnext_base_384_in22ft1k,268.35,953.955,256,384,45.2,84.49,88.59
+tresnet_xl_448,264.06,969.471,256,448,60.65,61.31,78.44
+deit_base_patch16_384,258.82,989.071,256,384,55.54,101.56,86.86
+vit_base_patch16_384,258.72,989.47,256,384,55.54,101.56,86.86
+resnest200e,257.74,993.222,256,320,35.69,82.78,70.2
+deit_base_distilled_patch16_384,255.57,1001.681,256,384,55.65,101.82,87.63
+resnetv2_101x1_bitm,242.52,1055.587,256,448,31.65,64.93,44.54
+cait_xxs24_384,236.82,1080.978,256,384,9.63,122.66,12.03
+crossvit_18_dagger_408,228.68,559.729,128,408,32.47,124.87,44.61
+ecaresnet269d,228.16,1122.012,256,352,50.25,101.25,102.09
+vit_large_r50_s32_384,228.16,1121.984,256,384,57.43,76.52,329.09
+nasnetalarge,224.77,1138.915,256,331,23.89,90.56,88.75
+pnasnet5large,224.27,1141.456,256,331,25.04,92.89,86.06
+beit_base_patch16_384,222.85,1148.718,256,384,55.54,101.56,86.74
+resnetrs270,221.37,1156.398,256,352,51.13,105.48,129.86
+xcit_small_24_p8_224,217.0,1179.688,256,224,35.81,90.78,47.63
+xcit_small_24_p8_224_dist,216.72,1181.234,256,224,35.81,90.78,47.63
+nfnet_f2s,212.63,1203.934,256,352,63.22,79.06,193.78
+nfnet_f2,211.38,1211.098,256,352,63.22,79.06,193.78
+xcit_medium_24_p16_384_dist,210.86,1214.056,256,384,47.39,91.64,84.4
+resmlp_big_24_224,198.74,1288.096,256,224,100.23,87.31,129.14
+resmlp_big_24_224_in22ft1k,197.93,1293.386,256,224,100.23,87.31,129.14
+resmlp_big_24_distilled_224,197.54,1295.901,256,224,100.23,87.31,129.14
+efficientnetv2_l,196.77,1301.027,256,480,56.4,157.99,118.52
+tf_efficientnetv2_l,194.85,1313.812,256,480,56.4,157.99,118.52
+tf_efficientnetv2_l_in21ft1k,194.51,1316.142,256,480,56.4,157.99,118.52
+efficientnet_b6,189.94,673.894,128,528,19.4,167.39,43.04
+dm_nfnet_f2,186.3,1374.105,256,352,63.22,79.06,193.78
+tf_efficientnet_b6_ns,183.84,696.254,128,528,19.4,167.39,43.04
+tf_efficientnet_b6_ap,183.67,696.899,128,528,19.4,167.39,43.04
+tf_efficientnet_b6,183.44,697.757,128,528,19.4,167.39,43.04
+swin_base_patch4_window12_384,171.35,746.981,128,384,47.19,134.78,87.9
+vit_base_patch8_224,170.3,1503.253,256,224,78.22,161.69,86.58
+cait_xs24_384,168.32,1520.881,256,384,19.28,183.98,26.67
+vit_base_r50_s16_384,163.47,1566.011,256,384,67.43,135.03,98.95
+vit_base_resnet50_384,163.26,1568.003,256,384,67.43,135.03,98.95
+convmixer_1536_20,162.04,1579.822,256,224,48.68,33.03,51.63
+convnext_large_384_in22ft1k,160.02,1599.775,256,384,101.09,126.74,197.77
+cait_xxs36_384,158.26,1617.553,256,384,14.35,183.7,17.37
+xcit_medium_24_p8_224,157.17,1628.769,256,224,63.53,121.23,84.32
+xcit_medium_24_p8_224_dist,157.13,1629.205,256,224,63.53,121.23,84.32
+eca_nfnet_l3,156.17,1639.21,256,448,52.55,118.4,72.04
+resnetrs350,147.0,1741.501,256,384,77.59,154.74,163.96
+ig_resnext101_32x32d,144.49,1771.686,256,224,87.29,91.12,468.53
+xcit_tiny_24_p8_384_dist,141.04,1815.079,256,384,27.05,132.95,12.11
+xcit_small_12_p8_384_dist,137.26,1865.112,256,384,54.92,138.29,26.21
+vit_huge_patch14_224,131.97,1939.888,256,224,167.4,139.41,632.05
+cait_s24_384,129.91,1970.595,256,384,32.17,245.31,47.06
+xcit_large_24_p16_384_dist,127.3,2011.004,256,384,105.35,137.17,189.1
+efficientnetv2_xl,125.14,2045.696,256,512,93.85,247.32,208.12
+tf_efficientnetv2_xl_in21ft1k,124.18,2061.565,256,512,93.85,247.32,208.12
+resnest269e,119.71,2138.483,256,416,77.69,171.98,110.93
+nfnet_f3s,116.49,2197.633,256,416,115.58,141.78,254.92
+nfnet_f3,115.68,2213.012,256,416,115.58,141.78,254.92
+convnext_xlarge_384_in22ft1k,109.41,1169.883,128,384,179.18,168.99,350.2
+efficientnet_b7,108.34,590.697,64,600,38.33,289.94,66.35
+swin_large_patch4_window12_384,107.91,1186.161,128,384,104.08,202.16,196.74
+resnetrs420,106.92,2394.315,256,416,108.45,213.79,191.89
+tf_efficientnet_b7_ap,105.47,606.819,64,600,38.33,289.94,66.35
+tf_efficientnet_b7_ns,105.47,606.797,64,600,38.33,289.94,66.35
+tf_efficientnet_b7,105.43,607.002,64,600,38.33,289.94,66.35
+dm_nfnet_f3,102.2,2504.865,256,416,115.58,141.78,254.92
+xcit_large_24_p8_224_dist,94.99,2695.138,256,224,141.23,181.56,188.93
+xcit_large_24_p8_224,94.97,2695.444,256,224,141.23,181.56,188.93
+resnetv2_152x2_bit_teacher_384,94.51,2708.696,256,384,136.16,132.56,236.34
+resnetv2_50x3_bitm,93.18,1373.716,128,448,145.7,133.37,217.32
+vit_large_patch16_384,88.86,2880.826,256,384,191.21,270.24,304.72
+vit_giant_patch14_224,87.24,2934.557,256,224,267.18,192.64,1012.61
+cait_s36_384,87.06,2940.456,256,384,47.99,367.4,68.37
+ig_resnext101_32x48d,85.45,1497.919,128,224,153.57,131.06,828.41
+beit_large_patch16_384,77.25,3314.013,256,384,191.21,270.24,305.0
+xcit_small_24_p8_384_dist,72.02,3554.648,256,384,105.24,265.91,47.63
+resnetv2_152x2_bitm,69.3,1847.055,128,448,184.99,180.43,236.34
+efficientnet_b8,67.89,942.729,64,672,63.48,442.89,87.41
+tf_efficientnet_b8,66.48,962.617,64,672,63.48,442.89,87.41
+tf_efficientnet_b8_ap,66.47,962.833,64,672,63.48,442.89,87.41
+nfnet_f4s,65.05,3935.454,256,512,216.26,262.26,316.07
+nfnet_f4,64.4,3975.384,256,512,216.26,262.26,316.07
+resnetv2_101x3_bitm,57.01,2245.355,128,448,280.33,194.78,387.93
+dm_nfnet_f4,56.77,4509.206,256,512,216.26,262.26,316.07
+xcit_medium_24_p8_384_dist,53.32,4800.797,256,384,186.67,354.73,84.32
+vit_gigantic_patch14_224,53.03,4827.242,256,224,483.95,275.37,1844.44
+nfnet_f5s,47.06,5439.402,256,544,290.97,349.71,377.21
+nfnet_f5,46.62,5491.767,256,544,290.97,349.71,377.21
+dm_nfnet_f5,41.31,6196.83,256,544,290.97,349.71,377.21
+tf_efficientnet_l2_ns_475,38.18,1676.113,64,475,172.11,609.89,480.31
+nfnet_f6s,33.85,7563.356,256,576,378.69,452.2,438.36
+nfnet_f6,33.53,7634.937,256,576,378.69,452.2,438.36
+xcit_large_24_p8_384_dist,32.23,7943.828,256,384,415.0,531.82,188.93
+beit_large_patch16_512,31.3,2044.665,64,512,362.24,656.39,305.67
+cait_m36_384,30.09,8507.481,256,384,173.11,734.81,271.22
+dm_nfnet_f6,30.02,8526.734,256,576,378.69,452.2,438.36
+nfnet_f7s,26.4,9698.058,256,608,480.39,570.85,499.5
+nfnet_f7,26.15,9791.252,256,608,480.39,570.85,499.5
+resnetv2_152x4_bitm,18.07,3541.734,64,480,844.84,414.26,936.53
+efficientnet_l2,13.68,2266.184,31,800,479.12,1707.39,480.31
+tf_efficientnet_l2_ns,13.51,2295.302,31,800,479.12,1707.39,480.31
+cait_m48_448,13.05,9810.688,128,448,329.41,1708.23,356.46
diff --git a/results/model_benchmark_amp_nhwc_rtx3090.csv b/results/model_benchmark_amp_nhwc_rtx3090.csv
new file mode 100644
index 00000000..ff620b78
--- /dev/null
+++ b/results/model_benchmark_amp_nhwc_rtx3090.csv
@@ -0,0 +1,696 @@
+model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
+tinynet_e,52443.33,4.87,256,106,0.03,0.69,2.04
+lcnet_035,41836.65,6.108,256,224,0.03,1.04,1.64
+mobilenetv3_small_050,40675.32,6.283,256,224,0.03,0.92,1.59
+lcnet_050,37031.22,6.902,256,224,0.05,1.26,1.88
+mobilenetv3_small_075,33134.36,7.715,256,224,0.05,1.3,2.04
+mobilenetv3_small_100,30332.75,8.428,256,224,0.06,1.42,2.54
+tinynet_d,29729.64,8.599,256,152,0.05,1.42,2.34
+tf_mobilenetv3_small_minimal_100,28698.97,8.909,256,224,0.06,1.41,2.04
+tf_mobilenetv3_small_075,27515.61,9.292,256,224,0.05,1.3,2.04
+tf_mobilenetv3_small_100,25529.73,10.016,256,224,0.06,1.42,2.54
+lcnet_075,25351.21,10.087,256,224,0.1,1.99,2.36
+lcnet_100,21251.26,12.035,256,224,0.16,2.52,2.95
+mnasnet_small,20610.12,12.41,256,224,0.07,2.16,2.03
+levit_128s,18679.12,13.694,256,224,0.31,1.88,7.78
+mobilenetv2_035,18422.82,13.885,256,224,0.07,2.86,1.68
+ghostnet_050,17065.19,14.99,256,224,0.05,1.77,2.59
+regnetx_002,17008.51,15.04,256,224,0.2,2.16,2.68
+mnasnet_050,16943.72,15.098,256,224,0.11,3.07,2.22
+tinynet_c,16089.67,15.9,256,184,0.11,2.87,2.46
+mobilenetv2_050,15226.35,16.802,256,224,0.1,3.64,1.97
+regnety_002,15182.41,16.851,256,224,0.2,2.17,3.16
+semnasnet_050,14956.97,17.104,256,224,0.11,3.44,2.08
+lcnet_150,14301.96,17.889,256,224,0.34,3.79,4.5
+regnetx_004,13656.57,18.735,256,224,0.4,3.14,5.16
+gernet_s,13307.64,19.226,256,224,0.75,2.65,8.17
+mobilenetv3_large_075,12875.59,19.872,256,224,0.16,4.0,3.99
+levit_128,12869.05,19.881,256,224,0.41,2.71,9.21
+mnasnet_075,11851.07,21.591,256,224,0.23,4.77,3.17
+mobilenetv3_rw,11749.18,21.778,256,224,0.23,4.41,5.48
+hardcorenas_a,11724.1,21.825,256,224,0.23,4.38,5.26
+mobilenetv3_large_100,11546.8,22.16,256,224,0.23,4.41,5.48
+mobilenetv3_large_100_miil,11527.85,22.196,256,224,0.23,4.41,5.48
+levit_192,11521.32,22.208,256,224,0.66,3.2,10.95
+tf_mobilenetv3_large_075,11097.44,23.056,256,224,0.16,4.0,3.99
+ese_vovnet19b_slim_dw,11011.34,23.237,256,224,0.4,5.28,1.9
+tf_mobilenetv3_large_minimal_100,10807.48,23.676,256,224,0.22,4.4,3.92
+tinynet_b,10794.3,23.705,256,188,0.21,4.44,3.73
+hardcorenas_b,10649.59,24.027,256,224,0.26,5.09,5.18
+hardcorenas_c,10616.11,24.103,256,224,0.28,5.01,5.52
+mnasnet_100,10429.97,24.534,256,224,0.33,5.46,4.38
+mnasnet_b1,10405.42,24.591,256,224,0.33,5.46,4.38
+mixer_s32_224,10314.02,24.809,256,224,1.0,2.28,19.1
+ssl_resnet18,10228.31,25.016,256,224,1.82,2.48,11.69
+gluon_resnet18_v1b,10218.86,25.04,256,224,1.82,2.48,11.69
+swsl_resnet18,10183.71,25.126,256,224,1.82,2.48,11.69
+resnet18,10180.53,25.135,256,224,1.82,2.48,11.69
+tf_mobilenetv3_large_100,10049.81,25.462,256,224,0.23,4.41,5.48
+ghostnet_100,9984.48,25.628,256,224,0.15,3.55,5.18
+mobilenetv2_075,9980.04,25.64,256,224,0.22,5.86,2.64
+semnasnet_075,9964.54,25.68,256,224,0.23,5.54,2.91
+hardcorenas_d,9736.47,26.282,256,224,0.3,4.93,7.5
+seresnet18,9448.37,27.084,256,224,1.82,2.49,11.78
+spnasnet_100,9378.19,27.285,256,224,0.35,6.03,4.42
+vit_small_patch32_224,9330.47,27.426,256,224,1.15,2.5,22.88
+regnety_006,9290.2,27.545,256,224,0.61,4.33,6.06
+legacy_seresnet18,9195.77,27.828,256,224,1.82,2.49,11.78
+mobilenetv2_100,8931.8,28.65,256,224,0.31,6.68,3.5
+regnety_004,8913.44,28.71,256,224,0.41,3.89,4.34
+semnasnet_100,8878.3,28.823,256,224,0.32,6.23,3.89
+mnasnet_a1,8872.5,28.841,256,224,0.32,6.23,3.89
+hardcorenas_f,8746.45,29.258,256,224,0.35,5.57,8.2
+tinynet_a,8705.83,29.394,256,192,0.35,5.41,6.19
+efficientnet_lite0,8678.08,29.489,256,224,0.4,6.74,4.65
+levit_256,8605.17,29.738,256,224,1.13,4.23,18.89
+fbnetc_100,8589.17,29.794,256,224,0.4,6.51,5.57
+hardcorenas_e,8587.1,29.801,256,224,0.35,5.65,8.07
+resnet18d,8454.18,30.27,256,224,2.06,3.29,11.71
+tf_efficientnetv2_b0,8451.14,30.28,256,224,0.73,4.77,7.14
+ese_vovnet19b_slim,8409.91,30.429,256,224,1.69,3.52,3.17
+regnetx_008,8190.92,31.242,256,224,0.81,5.15,7.26
+vit_tiny_r_s16_p8_224,8188.54,31.252,256,224,0.44,2.06,6.34
+regnetx_006,7654.81,33.432,256,224,0.61,3.98,6.2
+ghostnet_130,7516.11,34.049,256,224,0.24,4.6,7.36
+tf_efficientnet_lite0,7513.34,34.061,256,224,0.4,6.74,4.65
+regnety_008,7334.93,34.89,256,224,0.81,5.25,6.26
+mnasnet_140,7212.43,35.483,256,224,0.6,7.71,7.12
+efficientnet_b0,7189.76,35.595,256,224,0.4,6.75,5.29
+rexnetr_100,6816.78,37.543,256,224,0.43,7.72,4.88
+mobilenetv2_110d,6785.21,37.718,256,224,0.45,8.71,4.52
+tf_efficientnet_b0_ns,6397.82,40.002,256,224,0.4,6.75,5.29
+tf_efficientnet_b0_ap,6366.01,40.201,256,224,0.4,6.75,5.29
+tf_efficientnet_b0,6345.74,40.33,256,224,0.4,6.75,5.29
+hrnet_w18_small,6240.1,41.014,256,224,1.61,5.72,13.19
+semnasnet_140,6194.36,41.317,256,224,0.6,8.87,6.11
+ese_vovnet19b_dw,6016.74,42.537,256,224,1.34,8.25,6.54
+mobilenetv2_140,6010.52,42.581,256,224,0.6,9.57,6.11
+resnet34,5949.09,43.021,256,224,3.67,3.74,21.8
+gluon_resnet34_v1b,5944.0,43.057,256,224,3.67,3.74,21.8
+tv_resnet34,5920.52,43.227,256,224,3.67,3.74,21.8
+gernet_m,5909.18,43.311,256,224,3.02,5.24,21.14
+efficientnet_lite1,5815.72,44.007,256,240,0.62,10.14,5.42
+selecsls42,5752.79,44.489,256,224,2.94,4.62,30.35
+selecsls42b,5752.33,44.492,256,224,2.98,4.62,32.46
+fbnetv3_b,5567.33,45.971,256,256,0.55,9.1,8.6
+efficientnet_b1_pruned,5558.39,46.045,256,240,0.4,6.21,6.33
+resnet26,5532.69,46.26,256,224,2.36,7.35,16.0
+skresnet18,5529.57,46.284,256,224,1.82,3.24,11.96
+efficientnet_es_pruned,5519.91,46.366,256,224,1.81,8.73,5.44
+efficientnet_es,5518.49,46.378,256,224,1.81,8.73,5.44
+tf_efficientnetv2_b1,5515.51,46.402,256,240,1.21,7.34,8.14
+rexnet_100,5500.83,46.527,256,224,0.41,7.44,4.8
+dla46_c,5464.03,46.84,256,224,0.58,4.5,1.3
+seresnet34,5439.78,47.05,256,224,3.67,3.74,21.96
+resnet34d,5325.4,48.06,256,224,3.91,4.54,21.82
+resnetblur18,5301.3,48.279,256,224,2.34,3.39,11.69
+legacy_seresnet34,5280.08,48.473,256,224,3.67,3.74,21.96
+rexnetr_130,5239.92,48.845,256,224,0.68,9.81,7.61
+tf_efficientnet_es,5226.26,48.971,256,224,1.81,8.73,5.44
+tf_efficientnet_lite1,5192.67,49.288,256,240,0.62,10.14,5.42
+levit_384,5136.88,49.824,256,224,2.36,6.26,39.13
+nf_regnet_b0,5081.73,50.365,256,256,0.64,5.58,8.76
+selecsls60,5015.37,51.032,256,224,3.59,5.52,30.67
+selecsls60b,5008.51,51.102,256,224,3.63,5.52,32.77
+mobilenetv2_120d,5006.42,51.123,256,224,0.69,11.97,5.83
+repvgg_b0,4831.81,52.969,256,224,3.41,6.15,15.82
+resnet26d,4774.01,53.612,256,224,2.6,8.15,16.01
+rexnetr_150,4621.39,55.383,256,224,0.89,11.13,9.78
+fbnetv3_d,4543.95,56.327,256,256,0.68,11.1,10.31
+nf_resnet26,4522.01,56.601,256,224,2.41,7.35,16.0
+deit_tiny_patch16_224,4516.94,56.664,256,224,1.26,5.97,5.72
+visformer_tiny,4514.36,56.695,256,224,1.27,5.72,10.32
+vit_tiny_patch16_224,4509.39,56.76,256,224,1.26,5.97,5.72
+efficientnet_lite2,4476.87,57.171,256,260,0.89,12.9,6.09
+xcit_nano_12_p16_224_dist,4461.13,57.373,256,224,0.56,4.17,3.05
+deit_tiny_distilled_patch16_224,4450.37,57.513,256,224,1.27,6.01,5.91
+xcit_nano_12_p16_224,4443.48,57.6,256,224,0.56,4.17,3.05
+pit_ti_distilled_224,4267.82,59.972,256,224,0.71,6.23,5.1
+pit_ti_224,4256.93,60.125,256,224,0.7,6.19,4.85
+resmlp_12_distilled_224,4163.6,61.475,256,224,3.01,5.5,15.35
+resmlp_12_224,4160.41,61.521,256,224,3.01,5.5,15.35
+gernet_l,4096.96,62.474,256,256,4.57,8.0,31.08
+tf_efficientnetv2_b2,4081.75,62.706,256,260,1.72,9.84,10.1
+legacy_seresnext26_32x4d,4060.33,63.037,256,224,2.49,9.39,16.79
+tf_efficientnet_b1,4046.06,63.259,256,240,0.71,10.88,7.79
+tf_efficientnet_b1_ap,4044.6,63.282,256,240,0.71,10.88,7.79
+tf_efficientnet_b1_ns,4042.64,63.313,256,240,0.71,10.88,7.79
+tf_efficientnet_lite2,4027.76,63.547,256,260,0.89,12.9,6.09
+resnext26ts,3956.89,64.685,256,256,2.43,10.52,10.3
+dla46x_c,3913.74,65.398,256,224,0.54,5.66,1.07
+efficientnet_b1,3903.13,65.577,256,256,0.77,12.22,7.79
+dla34,3901.31,65.607,256,224,3.07,5.02,15.74
+mixer_b32_224,3872.36,66.099,256,224,3.24,6.29,60.29
+rexnet_130,3847.96,66.517,256,224,0.68,9.71,7.56
+vit_base_patch32_224_sam,3843.13,66.599,256,224,4.41,5.01,88.22
+nf_seresnet26,3833.86,66.763,256,224,2.41,7.36,17.4
+eca_resnext26ts,3823.14,66.95,256,256,2.43,10.52,10.3
+vit_base_patch32_224,3821.26,66.98,256,224,4.41,5.01,88.22
+nf_ecaresnet26,3821.0,66.987,256,224,2.41,7.36,16.0
+seresnext26ts,3814.04,67.108,256,256,2.43,10.52,10.39
+dla60x_c,3762.66,68.025,256,224,0.59,6.01,1.32
+efficientnet_b2_pruned,3734.36,68.542,256,260,0.73,9.13,8.31
+regnetx_016,3682.98,69.498,256,224,1.62,7.93,9.19
+resnet26t,3677.69,69.597,256,256,3.35,10.52,16.01
+gcresnext26ts,3645.26,70.216,256,256,2.43,10.53,10.48
+rexnet_150,3639.9,70.32,256,224,0.9,11.21,9.73
+seresnext26tn_32x4d,3635.04,70.413,256,224,2.7,10.09,16.81
+seresnext26t_32x4d,3629.32,70.524,256,224,2.7,10.09,16.81
+ecaresnext50t_32x4d,3625.17,70.606,256,224,2.7,10.09,15.41
+seresnext26d_32x4d,3620.48,70.696,256,224,2.73,10.19,16.81
+ecaresnet50d_pruned,3618.55,70.735,256,224,2.53,6.43,19.94
+ecaresnext26t_32x4d,3617.96,70.747,256,224,2.7,10.09,15.41
+resnetv2_50,3573.69,71.622,256,224,4.11,11.11,25.55
+eca_botnext26ts_256,3538.36,72.339,256,256,2.46,11.6,10.59
+repvgg_a2,3525.89,72.594,256,224,5.7,6.26,28.21
+pit_xs_224,3490.24,73.336,256,224,1.4,7.71,10.62
+mixer_s16_224,3485.97,73.426,256,224,3.79,5.97,18.53
+pit_xs_distilled_224,3470.1,73.761,256,224,1.41,7.76,11.0
+eca_halonext26ts,3433.36,74.552,256,256,2.44,11.46,10.76
+gluon_resnet50_v1b,3424.93,74.734,256,224,4.11,11.11,25.56
+rexnetr_200,3422.25,74.791,256,224,1.59,15.11,16.52
+ssl_resnet50,3418.93,74.864,256,224,4.11,11.11,25.56
+resnet50,3416.87,74.911,256,224,4.11,11.11,25.56
+tv_resnet50,3416.58,74.915,256,224,4.11,11.11,25.56
+swsl_resnet50,3415.95,74.931,256,224,4.11,11.11,25.56
+ecaresnetlight,3410.59,75.049,256,224,4.11,8.42,30.16
+efficientnet_em,3345.86,76.5,256,240,3.04,14.34,6.9
+dpn68b,3321.6,77.058,256,224,2.35,10.47,12.61
+dpn68,3321.37,77.064,256,224,2.35,10.47,12.61
+resnet32ts,3318.56,77.131,256,256,4.63,11.58,17.96
+botnet26t_256,3309.73,77.335,256,256,3.32,11.98,12.49
+resnet33ts,3269.93,78.278,256,256,4.76,11.66,19.68
+resnetv2_50t,3252.33,78.701,256,224,4.32,11.82,25.57
+halonet26t,3247.75,78.812,256,256,3.19,11.69,12.48
+resnetv2_50d,3238.36,79.041,256,224,4.35,11.92,25.57
+gluon_resnet50_v1c,3234.34,79.139,256,224,4.35,11.92,25.58
+nf_regnet_b1,3220.71,79.473,256,288,1.02,9.2,10.22
+tf_efficientnet_em,3211.19,79.71,256,240,3.04,14.34,6.9
+nf_regnet_b2,3198.33,80.03,256,272,1.22,9.27,14.31
+xcit_tiny_12_p16_224_dist,3183.42,80.405,256,224,1.24,6.29,6.72
+xcit_tiny_12_p16_224,3177.02,80.567,256,224,1.24,6.29,6.72
+regnety_016,3168.83,80.775,256,224,1.63,8.04,11.2
+gmixer_12_224,3164.43,80.888,256,224,2.67,7.26,12.7
+tf_efficientnet_b2_ap,3144.11,81.41,256,260,1.02,13.83,9.11
+tf_efficientnet_b2,3133.02,81.698,256,260,1.02,13.83,9.11
+eca_resnet33ts,3132.75,81.706,256,256,4.76,11.66,19.68
+seresnet33ts,3132.5,81.713,256,256,4.76,11.66,19.78
+skresnet34,3122.38,81.975,256,224,3.67,5.13,22.28
+resnet50t,3114.92,82.173,256,224,4.32,11.82,25.57
+tf_efficientnet_b2_ns,3112.24,82.244,256,260,1.02,13.83,9.11
+gluon_resnet50_v1d,3111.66,82.259,256,224,4.35,11.92,25.58
+resnet50d,3107.36,82.374,256,224,4.35,11.92,25.58
+vovnet39a,3097.06,82.648,256,224,7.09,6.73,22.6
+bat_resnext26ts,3052.18,83.861,256,256,2.53,12.51,10.73
+legacy_seresnet50,3043.79,84.094,256,224,3.88,10.6,28.09
+cspresnext50,3003.53,85.222,256,224,3.1,12.14,20.57
+gcresnet33ts,2986.89,85.696,256,256,4.76,11.68,19.88
+selecsls84,2981.3,85.857,256,224,5.9,7.57,50.95
+vit_small_patch32_384,2981.2,85.86,256,384,3.45,8.25,22.92
+ese_vovnet39b,2975.03,86.038,256,224,7.09,6.74,24.57
+efficientnet_b2a,2964.53,86.343,256,288,1.12,16.2,9.11
+efficientnet_b2,2962.37,86.406,256,288,1.12,16.2,9.11
+eca_vovnet39b,2962.13,86.413,256,224,7.09,6.74,22.6
+res2net50_48w_2s,2946.94,86.858,256,224,4.18,11.72,25.29
+seresnet50,2942.22,86.998,256,224,4.11,11.13,28.09
+efficientnet_b3_pruned,2917.98,87.72,256,300,1.04,11.86,9.86
+haloregnetz_b,2882.69,88.795,256,224,1.97,11.94,11.68
+vit_small_resnet26d_224,2880.85,88.851,256,224,5.07,11.12,63.61
+vgg11,2809.5,91.106,256,224,7.61,7.44,132.86
+gluon_resnext50_32x4d,2797.04,91.514,256,224,4.26,14.4,25.03
+swsl_resnext50_32x4d,2795.88,91.552,256,224,4.26,14.4,25.03
+tv_resnext50_32x4d,2795.77,91.554,256,224,4.26,14.4,25.03
+mixnet_s,2795.45,91.566,256,224,0.25,6.25,4.13
+ssl_resnext50_32x4d,2795.35,91.567,256,224,4.26,14.4,25.03
+resnext50_32x4d,2795.04,91.578,256,224,4.26,14.4,25.03
+resnetaa50d,2786.19,91.87,256,224,5.39,12.44,25.58
+ecaresnet101d_pruned,2770.2,92.4,256,224,3.48,7.69,24.88
+densenet121,2765.59,92.554,256,224,2.87,6.9,7.98
+tv_densenet121,2754.97,92.91,256,224,2.87,6.9,7.98
+gluon_resnet50_v1s,2746.47,93.198,256,224,5.47,13.52,25.68
+rexnet_200,2741.96,93.353,256,224,1.56,14.91,16.37
+cspresnet50,2739.95,93.42,256,256,4.54,11.5,21.62
+seresnet50t,2715.96,94.246,256,224,4.32,11.83,28.1
+resnetrs50,2709.47,94.471,256,224,4.48,12.14,35.69
+crossvit_tiny_240,2698.8,94.845,256,240,1.57,9.08,7.01
+ecaresnet50d,2695.97,94.946,256,224,4.35,11.93,25.58
+tf_mixnet_s,2668.56,95.92,256,224,0.25,6.25,4.13
+dla60,2658.15,96.295,256,224,4.26,10.16,22.04
+crossvit_9_240,2646.19,96.732,256,240,1.85,9.52,8.55
+densenet121d,2643.5,96.83,256,224,3.11,7.7,8.0
+efficientnet_lite3,2630.67,97.302,256,300,1.65,21.85,8.2
+convit_tiny,2612.77,97.969,256,224,1.26,7.94,5.71
+hrnet_w18_small_v2,2612.23,97.989,256,224,2.62,9.65,15.6
+crossvit_9_dagger_240,2607.67,98.16,256,240,1.99,9.97,8.78
+regnetz_b16,2592.86,98.722,256,288,2.39,16.43,9.72
+resnext50d_32x4d,2582.77,99.107,256,224,4.5,15.2,25.05
+cspresnet50d,2577.78,99.299,256,256,4.86,12.55,21.64
+cspresnet50w,2560.3,99.977,256,256,5.04,12.19,28.12
+vgg11_bn,2537.64,100.869,256,224,7.62,7.44,132.87
+vovnet57a,2533.31,101.041,256,224,8.95,7.52,36.64
+resnetblur50,2528.53,101.233,256,224,5.16,12.02,25.56
+gmlp_ti16_224,2479.86,103.22,256,224,1.34,7.55,5.87
+seresnext50_32x4d,2470.29,103.618,256,224,4.26,14.42,27.56
+legacy_seresnext50_32x4d,2466.47,103.78,256,224,4.26,14.42,27.56
+seresnetaa50d,2460.49,104.031,256,224,5.4,12.46,28.11
+gluon_seresnext50_32x4d,2457.31,104.168,256,224,4.26,14.42,27.56
+fbnetv3_g,2441.71,104.833,256,288,1.77,21.09,16.62
+res2net50_26w_4s,2439.77,104.916,256,224,4.28,12.61,25.7
+ese_vovnet57b,2429.1,105.377,256,224,8.95,7.52,38.61
+vit_tiny_r_s16_p8_384,2420.04,105.772,256,384,1.34,6.49,6.36
+gcresnet50t,2406.95,106.347,256,256,5.42,14.67,25.9
+adv_inception_v3,2387.53,107.209,256,299,5.73,8.97,23.83
+inception_v3,2378.4,107.624,256,299,5.73,8.97,23.83
+gluon_inception_v3,2378.14,107.635,256,299,5.73,8.97,23.83
+dla60x,2376.48,107.71,256,224,3.54,13.8,17.35
+efficientnetv2_rw_t,2371.59,107.933,256,288,3.19,16.42,13.65
+tf_inception_v3,2369.67,108.018,256,299,5.73,8.97,23.83
+densenetblur121d,2366.44,108.168,256,224,3.11,7.9,8.0
+tf_efficientnet_lite3,2359.22,108.498,256,300,1.65,21.85,8.2
+resnetblur50d,2356.51,108.624,256,224,5.4,12.82,25.58
+nf_seresnet50,2321.05,110.283,256,224,4.21,11.13,28.09
+lambda_resnet26rpt_256,2319.42,110.361,256,256,3.16,11.87,10.99
+tf_efficientnetv2_b3,2313.61,110.636,256,300,3.04,15.74,14.36
+nf_ecaresnet50,2312.19,110.706,256,224,4.21,11.13,25.56
+resnest14d,2311.92,110.718,256,224,2.76,7.33,10.61
+deit_small_patch16_224,2305.42,111.031,256,224,4.61,11.95,22.05
+pit_s_224,2300.71,111.258,256,224,2.88,11.56,23.46
+vit_small_patch16_224,2295.85,111.494,256,224,4.61,11.95,22.05
+pit_s_distilled_224,2281.8,112.18,256,224,2.9,11.64,24.04
+densenet169,2278.65,112.335,256,224,3.4,7.3,14.15
+vit_base_resnet26d_224,2268.07,112.857,256,224,6.97,13.16,101.4
+deit_small_distilled_patch16_224,2267.44,112.892,256,224,4.63,12.02,22.44
+skresnet50,2244.08,114.064,256,224,4.11,12.5,25.8
+darknet53,2213.23,115.656,256,256,9.31,12.39,41.61
+sehalonet33ts,2208.53,115.902,256,256,3.55,14.7,13.69
+res2net50_14w_8s,2201.46,116.274,256,224,4.21,13.28,25.06
+gc_efficientnetv2_rw_t,2198.9,116.41,256,288,3.2,16.45,13.68
+gcresnext50ts,2187.09,117.039,256,256,3.75,15.46,15.67
+resnetv2_101,2146.17,119.27,256,224,7.83,16.23,44.54
+resmlp_24_224,2127.24,120.334,256,224,5.96,10.91,30.02
+resmlp_24_distilled_224,2125.15,120.451,256,224,5.96,10.91,30.02
+skresnet50d,2105.03,121.599,256,224,4.36,13.31,25.82
+gluon_resnet101_v1b,2098.13,122.001,256,224,7.83,16.23,44.55
+tv_resnet101,2095.51,122.152,256,224,7.83,16.23,44.55
+resnet101,2094.89,122.19,256,224,7.83,16.23,44.55
+res2next50,2089.9,122.482,256,224,4.2,13.71,24.67
+ecaresnet26t,2087.45,122.626,256,320,5.24,16.44,16.01
+dla60_res2net,2078.29,123.165,256,224,4.15,12.34,20.85
+nf_regnet_b3,2039.85,125.487,256,320,2.05,14.61,18.59
+gluon_resnet101_v1c,2026.41,126.32,256,224,8.08,17.04,44.57
+resnetv2_101d,2021.62,126.619,256,224,8.07,17.04,44.56
+gluon_resnet101_v1d,1976.83,129.488,256,224,8.08,17.04,44.57
+vgg13,1972.22,129.79,256,224,11.31,12.25,133.05
+wide_resnet50_2,1932.56,132.455,256,224,11.43,14.4,68.88
+sebotnet33ts_256,1892.63,135.25,256,256,3.89,17.46,13.7
+repvgg_b1,1864.64,137.281,256,224,13.16,10.64,57.42
+resnetaa101d,1840.38,139.09,256,224,9.12,17.56,44.57
+legacy_seresnet101,1838.54,139.229,256,224,7.61,15.74,49.33
+resnet51q,1828.83,139.968,256,288,8.07,20.94,35.7
+gluon_resnet101_v1s,1822.02,140.491,256,224,9.19,18.64,44.67
+dla102,1820.91,140.577,256,224,7.19,14.18,33.27
+dla60_res2next,1817.78,140.818,256,224,3.49,13.17,17.03
+coat_lite_tiny,1811.49,141.309,256,224,1.6,11.65,5.72
+vit_base_resnet50d_224,1807.55,141.614,256,224,8.73,16.92,110.97
+tf_efficientnet_b3,1803.3,141.948,256,300,1.87,23.83,12.23
+tf_efficientnet_b3_ap,1802.94,141.978,256,300,1.87,23.83,12.23
+tf_efficientnet_b3_ns,1802.1,142.043,256,300,1.87,23.83,12.23
+cspdarknet53,1801.31,142.107,256,256,6.57,16.81,27.64
+seresnet101,1796.92,142.453,256,224,7.84,16.27,49.33
+efficientnet_b3,1780.99,143.727,256,320,2.01,26.52,12.23
+efficientnet_b3a,1780.57,143.761,256,320,2.01,26.52,12.23
+densenet201,1754.6,145.89,256,224,4.34,7.85,20.01
+vgg13_bn,1750.09,146.264,256,224,11.33,12.25,133.05
+ssl_resnext101_32x4d,1737.01,147.366,256,224,8.01,21.23,44.18
+resnext101_32x4d,1736.55,147.407,256,224,8.01,21.23,44.18
+gluon_resnext101_32x4d,1736.42,147.419,256,224,8.01,21.23,44.18
+swsl_resnext101_32x4d,1735.28,147.514,256,224,8.01,21.23,44.18
+halonet50ts,1731.56,147.831,256,256,5.3,19.2,22.73
+res2net50_26w_6s,1726.13,148.297,256,224,6.33,15.28,37.05
+nf_resnet101,1725.55,148.347,256,224,8.01,16.23,44.55
+coat_lite_mini,1724.07,148.474,256,224,2.0,12.25,11.01
+regnetz_c16,1702.47,150.358,256,320,3.92,25.88,13.46
+nf_resnet50,1701.7,150.426,256,288,6.88,18.37,25.56
+ecaresnet101d,1699.81,150.594,256,224,8.08,17.07,44.57
+xcit_tiny_24_p16_224_dist,1697.25,150.82,256,224,2.34,11.82,12.12
+xcit_tiny_24_p16_224,1694.56,151.06,256,224,2.34,11.82,12.12
+xcit_small_12_p16_224_dist,1690.19,151.45,256,224,4.82,12.58,26.25
+xcit_small_12_p16_224,1687.09,151.729,256,224,4.82,12.58,26.25
+resnest26d,1686.65,151.769,256,224,3.64,9.97,17.07
+convnext_tiny,1676.02,152.729,256,224,4.47,13.44,28.59
+convnext_tiny_hnf,1674.55,152.865,256,224,4.47,13.44,28.59
+vit_small_r26_s32_224,1656.11,154.567,256,224,3.56,9.85,36.43
+resnetblur101d,1639.84,156.101,256,224,9.12,17.94,44.57
+dla102x,1638.98,156.183,256,224,5.89,19.42,26.31
+resnet61q,1638.11,156.265,256,288,9.87,21.52,36.85
+gmixer_24_224,1615.83,158.42,256,224,5.28,14.45,24.72
+vgg16,1592.01,160.79,256,224,15.47,13.56,138.36
+xcit_nano_12_p16_384_dist,1580.63,161.949,256,384,1.64,12.15,3.05
+regnetx_032,1571.21,162.919,256,224,3.2,11.37,15.3
+repvgg_b1g4,1566.48,163.412,256,224,8.15,10.64,39.97
+regnetx_040,1550.05,165.143,256,224,3.99,12.2,22.12
+twins_svt_small,1531.98,167.089,256,224,2.94,13.75,24.06
+seresnext101_32x4d,1528.6,167.459,256,224,8.02,21.26,48.96
+gluon_seresnext101_32x4d,1525.5,167.801,256,224,8.02,21.26,48.96
+legacy_seresnext101_32x4d,1523.33,168.041,256,224,8.02,21.26,48.96
+res2net101_26w_4s,1522.04,168.183,256,224,8.1,18.45,45.21
+xception,1515.79,168.877,256,299,8.4,35.83,22.86
+visformer_small,1505.04,170.081,256,224,4.88,11.43,40.22
+botnet50ts_256,1504.07,170.19,256,256,5.54,22.23,22.74
+resnest50d_1s4x24d,1495.52,171.166,256,224,4.43,13.57,25.68
+resnetv2_50x1_bit_distilled,1491.91,171.579,256,224,4.23,11.11,25.55
+resnetv2_152,1488.31,171.994,256,224,11.55,22.56,60.19
+efficientnet_el,1485.73,172.293,256,300,8.0,30.7,10.59
+efficientnet_el_pruned,1484.88,172.392,256,300,8.0,30.7,10.59
+gluon_resnet152_v1b,1466.32,174.574,256,224,11.56,22.56,60.19
+crossvit_small_240,1465.43,174.68,256,240,5.63,18.17,26.86
+tv_resnet152,1464.76,174.758,256,224,11.56,22.56,60.19
+resnet152,1463.7,174.886,256,224,11.56,22.56,60.19
+res2net50_26w_8s,1440.77,177.671,256,224,8.37,17.95,48.4
+tf_efficientnet_el,1439.79,177.79,256,300,8.0,30.7,10.59
+halo2botnet50ts_256,1435.45,178.33,256,256,5.02,21.78,22.64
+hrnet_w32,1431.59,178.81,256,224,8.97,22.02,41.23
+gluon_resnet152_v1c,1431.14,178.867,256,224,11.8,23.36,60.21
+nf_seresnet101,1430.41,178.958,256,224,8.02,16.27,49.33
+vgg16_bn,1430.18,178.985,256,224,15.5,13.56,138.37
+resnetv2_152d,1427.39,179.335,256,224,11.8,23.36,60.2
+resmlp_36_224,1426.81,179.41,256,224,8.91,16.33,44.69
+resmlp_36_distilled_224,1426.22,179.484,256,224,8.91,16.33,44.69
+nf_ecaresnet101,1423.4,179.839,256,224,8.01,16.27,44.55
+mixnet_m,1415.37,180.859,256,224,0.36,8.19,5.01
+gluon_resnet152_v1d,1405.52,182.126,256,224,11.8,23.36,60.21
+ese_vovnet99b,1395.24,183.468,256,224,16.51,11.27,63.2
+gmlp_s16_224,1389.58,184.216,256,224,4.42,15.1,19.42
+tf_mixnet_m,1379.18,185.603,256,224,0.36,8.19,5.01
+regnety_040,1367.09,187.246,256,224,4.0,12.29,20.65
+vit_large_patch32_224,1365.88,187.414,256,224,15.39,13.3,306.54
+hrnet_w18,1363.25,187.774,256,224,4.32,16.31,21.3
+vit_base_r26_s32_224,1359.83,188.244,256,224,6.81,12.36,101.38
+crossvit_15_240,1344.51,190.391,256,240,5.81,19.77,27.53
+resnetv2_50d_evob,1343.28,190.567,256,224,4.33,11.92,25.59
+ecaresnet50t,1341.42,190.83,256,320,8.82,24.13,25.57
+mixer_b16_224,1341.1,190.877,256,224,12.62,14.53,59.88
+mixer_b16_224_miil,1340.95,190.898,256,224,12.62,14.53,59.88
+vgg19,1334.38,191.835,256,224,19.63,14.86,143.67
+regnety_032,1331.17,192.299,256,288,5.29,18.61,19.44
+cait_xxs24_224,1325.98,193.051,256,224,2.53,20.29,11.96
+gluon_resnet152_v1s,1323.82,193.367,256,224,12.92,24.96,60.32
+mixer_l32_224,1320.53,193.849,256,224,11.27,19.86,206.94
+skresnext50_32x4d,1317.3,194.322,256,224,4.5,17.18,27.48
+xception41,1314.21,194.782,256,299,9.28,39.86,26.97
+crossvit_15_dagger_240,1313.12,194.944,256,240,6.13,20.43,28.21
+densenet161,1297.86,197.236,256,224,7.79,11.06,28.68
+dpn92,1283.16,199.496,256,224,6.54,18.21,37.67
+efficientnet_lite4,1279.6,200.05,256,380,4.04,45.66,13.01
+tresnet_m,1272.03,201.24,256,224,5.74,7.31,31.39
+legacy_seresnet152,1268.99,201.723,256,224,11.33,22.08,66.82
+dla169,1257.87,203.505,256,224,11.6,20.2,53.39
+seresnet152,1252.8,204.325,256,224,11.57,22.61,66.82
+swin_tiny_patch4_window7_224,1250.47,204.71,256,224,4.51,17.06,28.29
+vit_base_patch32_384,1245.01,205.608,256,384,13.06,16.5,88.3
+repvgg_b2,1240.95,206.281,256,224,20.45,12.9,89.02
+twins_pcpvt_small,1237.75,206.812,256,224,3.83,18.08,24.11
+inception_v4,1232.0,207.78,256,299,12.28,15.09,42.68
+regnetx_080,1230.26,208.073,256,224,8.02,14.06,39.57
+convit_small,1215.14,210.662,256,224,5.76,17.87,27.78
+vgg19_bn,1208.18,211.876,256,224,19.66,14.86,143.68
+xcit_nano_12_p8_224_dist,1199.12,213.478,256,224,2.16,15.71,3.05
+xcit_nano_12_p8_224,1193.48,214.486,256,224,2.16,15.71,3.05
+hrnet_w30,1182.47,216.483,256,224,8.15,21.21,37.71
+tf_efficientnet_lite4,1173.72,218.096,256,380,4.04,45.66,13.01
+resnetv2_50d_gn,1171.09,218.587,256,224,4.38,11.92,25.57
+vit_tiny_patch16_384,1165.29,219.677,256,384,4.7,25.39,5.79
+dla102x2,1162.53,220.196,256,224,9.34,29.91,41.28
+regnetx_064,1154.46,221.737,256,224,6.49,16.37,26.21
+vit_small_resnet50d_s16_224,1148.12,222.96,256,224,13.48,24.82,57.53
+resnest50d,1142.3,224.096,256,224,5.4,14.36,27.48
+xcit_tiny_12_p16_384_dist,1120.72,228.412,256,384,3.64,18.26,6.72
+nf_regnet_b4,1118.05,228.958,256,384,4.7,28.61,30.21
+mixnet_l,1111.69,230.267,256,224,0.58,10.84,7.33
+efficientnetv2_s,1109.52,230.718,256,384,8.44,35.77,21.46
+resnet50_gn,1084.83,235.97,256,224,4.14,11.11,25.56
+tf_efficientnetv2_s,1082.56,236.462,256,384,8.44,35.77,21.46
+tf_efficientnetv2_s_in21ft1k,1080.83,236.841,256,384,8.44,35.77,21.46
+tf_mixnet_l,1080.28,236.961,256,224,0.58,10.84,7.33
+wide_resnet101_2,1080.17,236.987,256,224,22.8,21.23,126.89
+gluon_resnext101_64x4d,1075.35,238.048,256,224,15.52,31.21,83.46
+dpn98,1075.31,238.059,256,224,11.73,25.2,61.57
+eca_nfnet_l0,1073.57,238.443,256,288,7.12,17.29,24.14
+resnext101_64x4d,1073.4,238.483,256,224,15.52,31.21,83.46
+regnetz_d8,1072.66,238.647,256,320,6.19,37.08,23.37
+convnext_small,1068.35,239.61,256,224,8.7,21.56,50.22
+nfnet_l0,1067.0,239.911,256,288,7.13,17.29,35.07
+resnet200,1062.15,241.009,256,224,15.07,32.19,64.67
+resnetrs101,1051.01,243.563,256,288,13.56,28.53,63.62
+inception_resnet_v2,1033.59,247.668,256,299,13.18,25.06,55.84
+ens_adv_inception_resnet_v2,1033.26,247.747,256,299,13.18,25.06,55.84
+efficientnetv2_rw_s,1032.33,247.972,256,384,8.72,38.03,23.94
+nest_tiny,1020.47,250.854,256,224,5.83,25.48,17.06
+coat_lite_small,1020.33,250.888,256,224,3.96,22.09,19.84
+jx_nest_tiny,1008.4,253.854,256,224,5.83,25.48,17.06
+vit_base_patch16_224_miil,996.21,256.96,256,224,17.58,23.9,86.54
+crossvit_18_240,991.56,258.167,256,240,9.05,26.26,43.27
+gluon_seresnext101_64x4d,990.21,258.518,256,224,15.53,31.25,88.23
+swsl_resnext101_32x8d,977.82,261.793,256,224,16.48,31.21,88.79
+ssl_resnext101_32x8d,977.78,261.803,256,224,16.48,31.21,88.79
+resnext101_32x8d,976.71,262.092,256,224,16.48,31.21,88.79
+resnet101d,976.38,262.181,256,320,16.48,34.77,44.57
+ig_resnext101_32x8d,976.0,262.282,256,224,16.48,31.21,88.79
+crossvit_18_dagger_240,971.37,263.533,256,240,9.5,27.03,44.27
+regnetz_d32,970.52,263.764,256,320,9.33,37.08,27.58
+vit_base_patch16_224_sam,969.72,263.98,256,224,17.58,23.9,86.57
+deit_base_patch16_224,967.9,264.478,256,224,17.58,23.9,86.57
+vit_base_patch16_224,966.99,264.723,256,224,17.58,23.9,86.57
+deit_base_distilled_patch16_224,962.72,265.901,256,224,17.68,24.05,87.34
+repvgg_b3,962.17,266.052,256,224,29.16,15.1,123.09
+resnest50d_4s2x40d,957.24,267.424,256,224,4.4,17.94,30.42
+gluon_xception65,952.59,268.729,256,299,13.96,52.48,39.92
+efficientnet_b4,950.53,269.31,256,384,4.51,50.04,19.34
+xception65,944.4,271.059,256,299,13.96,52.48,39.92
+ese_vovnet39b_evos,937.23,273.135,256,224,7.07,6.74,24.58
+hrnet_w40,919.71,278.336,256,224,12.75,25.29,57.56
+seresnext101_32x8d,905.52,282.696,256,224,16.48,31.25,93.57
+twins_pcpvt_base,904.7,282.951,256,224,6.68,25.25,43.83
+tf_efficientnet_b4,899.69,284.527,256,380,4.49,49.49,19.34
+tf_efficientnet_b4_ap,899.17,284.692,256,380,4.49,49.49,19.34
+tf_efficientnet_b4_ns,898.81,284.808,256,380,4.49,49.49,19.34
+xcit_small_24_p16_224_dist,897.88,285.104,256,224,9.1,23.64,47.67
+xcit_small_24_p16_224,897.08,285.357,256,224,9.1,23.64,47.67
+beit_base_patch16_224,894.85,286.068,256,224,17.58,23.9,86.53
+cait_xxs36_224,891.78,287.055,256,224,3.77,30.34,17.3
+twins_svt_base,885.5,289.087,256,224,8.59,26.33,56.07
+regnety_080,865.03,295.931,256,224,8.0,17.97,39.18
+hrnet_w48,862.23,296.892,256,224,17.34,28.56,77.47
+xcit_tiny_12_p8_224_dist,851.38,300.676,256,224,4.81,23.6,6.71
+xcit_tiny_12_p8_224,850.38,301.029,256,224,4.81,23.6,6.71
+pit_b_224,831.73,307.778,256,224,12.42,32.94,73.76
+pit_b_distilled_224,829.76,308.512,256,224,12.5,33.07,74.79
+nfnet_f0s,822.42,311.265,256,256,12.62,18.05,71.49
+nfnet_f0,820.01,312.18,256,256,12.62,18.05,71.49
+swin_small_patch4_window7_224,808.39,316.666,256,224,8.77,27.47,49.61
+repvgg_b2g4,805.1,317.961,256,224,12.63,12.9,61.76
+resnetv2_50d_evos,799.75,320.087,256,224,4.33,11.92,25.59
+convnext_base,795.35,321.858,256,224,15.38,28.75,88.59
+convnext_base_in22ft1k,795.35,321.856,256,224,15.38,28.75,88.59
+dpn131,790.54,323.815,256,224,16.09,32.97,79.25
+regnetx_120,762.35,335.792,256,224,12.13,21.37,46.11
+regnety_064,760.83,336.463,256,224,6.39,16.41,30.58
+hrnet_w44,758.65,337.428,256,224,14.94,26.92,67.06
+densenet264,753.54,339.715,256,224,12.95,12.8,72.69
+mixnet_xl,746.77,342.795,256,224,0.93,14.57,11.9
+cait_s24_224,746.74,342.81,256,224,9.35,40.58,46.92
+regnety_120,732.77,349.348,256,224,12.14,21.38,51.82
+dm_nfnet_f0,732.71,349.374,256,256,12.62,18.05,71.49
+xception71,724.87,353.154,256,299,18.09,69.92,42.34
+coat_tiny,707.44,361.857,256,224,4.35,27.2,5.5
+resnet152d,694.55,368.574,256,320,24.08,47.67,60.21
+dpn107,691.54,370.175,256,224,18.38,33.46,86.92
+hrnet_w64,684.53,373.966,256,224,28.97,35.09,128.06
+nest_small,681.18,375.805,256,224,10.35,40.04,38.35
+vit_large_r50_s32_224,676.89,378.187,256,224,19.58,24.41,328.99
+jx_nest_small,675.63,378.895,256,224,10.35,40.04,38.35
+twins_svt_large,674.75,379.385,256,224,15.15,35.1,99.27
+seresnet200d,673.13,380.295,256,256,20.01,43.15,71.86
+ecaresnet200d,672.08,380.893,256,256,20.0,43.15,64.69
+repvgg_b3g4,671.77,381.071,256,224,17.89,15.1,83.83
+cspresnext50_iabn,667.96,383.242,256,256,4.02,15.86,20.57
+gmlp_b16_224,667.23,383.66,256,224,15.78,30.21,73.08
+crossvit_base_240,662.98,386.123,256,240,21.22,36.33,105.03
+xcit_medium_24_p16_224_dist,661.18,387.174,256,224,16.13,31.71,84.4
+xcit_medium_24_p16_224,660.34,387.669,256,224,16.13,31.71,84.4
+tresnet_l,657.41,389.391,256,224,10.88,11.9,55.99
+twins_pcpvt_large,657.27,389.474,256,224,9.84,35.82,60.99
+gluon_senet154,656.15,390.143,256,224,20.77,38.69,115.09
+senet154,655.06,390.791,256,224,20.77,38.69,115.09
+legacy_senet154,654.75,390.977,256,224,20.77,38.69,115.09
+convit_base,638.4,400.989,256,224,17.52,31.77,86.54
+swin_base_patch4_window7_224,617.48,414.571,256,224,15.47,36.63,87.77
+ese_vovnet99b_iabn,611.75,418.46,256,224,16.49,11.27,63.2
+regnetx_160,608.26,420.859,256,224,15.99,25.52,54.28
+cspdarknet53_iabn,603.85,423.936,256,256,6.53,16.81,27.64
+resnetrs152,602.36,424.984,256,320,24.34,48.14,86.62
+seresnet152d,600.43,426.343,256,320,24.09,47.72,66.84
+xcit_tiny_24_p16_384_dist,596.99,428.807,256,384,6.87,34.29,12.12
+xcit_small_12_p16_384_dist,594.31,430.737,256,384,14.14,36.51,26.25
+coat_mini,592.69,431.92,256,224,6.82,33.68,10.34
+vit_small_patch16_384,592.64,431.956,256,384,15.52,50.78,22.2
+regnetz_e8,575.64,444.705,256,320,15.46,63.94,57.7
+convmixer_768_32,563.29,454.463,256,224,19.55,25.95,21.11
+resnest101e,556.07,460.362,256,256,13.38,28.66,48.28
+efficientnetv2_m,555.39,460.921,256,416,18.6,67.5,54.14
+vit_base_r50_s16_224,554.34,461.796,256,224,21.66,35.29,98.66
+vit_small_r26_s32_384,549.37,465.972,256,384,10.43,29.85,36.47
+nf_regnet_b5,533.77,479.592,256,456,11.7,61.95,49.74
+seresnet269d,524.13,488.41,256,256,26.59,53.6,113.67
+nest_base,514.16,497.89,256,224,17.96,53.39,67.72
+jx_nest_base,510.9,501.061,256,224,17.96,53.39,67.72
+resnet200d,509.84,502.105,256,320,31.25,67.33,64.69
+tnt_s_patch16_224,490.75,521.641,256,224,5.24,24.37,23.76
+mixnet_xxl,486.35,526.355,256,224,2.04,23.43,23.96
+tresnet_xl,476.44,537.307,256,224,15.17,15.34,78.44
+convnext_large,476.21,537.564,256,224,34.4,43.13,197.77
+eca_nfnet_l1,475.22,538.689,256,320,14.92,34.42,41.41
+convnext_large_in22ft1k,475.1,538.817,256,224,34.4,43.13,197.77
+efficientnetv2_rw_m,464.7,550.875,256,416,21.49,79.62,53.24
+efficientnet_b5,456.59,560.666,256,456,10.46,98.86,30.39
+xcit_small_12_p8_224,453.25,564.8,256,224,18.69,47.21,26.21
+xcit_small_12_p8_224_dist,452.33,565.946,256,224,18.69,47.21,26.21
+xcit_tiny_24_p8_224,450.37,568.411,256,224,9.21,45.39,12.11
+mixer_l16_224,449.08,570.035,256,224,44.6,41.69,208.2
+xcit_tiny_24_p8_224_dist,448.81,570.379,256,224,9.21,45.39,12.11
+halonet_h1,448.78,570.426,256,256,3.0,51.17,8.1
+vit_large_patch32_384,441.35,580.019,256,384,45.31,43.86,306.63
+resnetrs200,436.51,586.457,256,320,31.51,67.81,93.21
+tf_efficientnet_b5,434.35,589.365,256,456,10.46,98.86,30.39
+tf_efficientnet_b5_ap,433.75,590.18,256,456,10.46,98.86,30.39
+tf_efficientnet_b5_ns,433.48,590.557,256,456,10.46,98.86,30.39
+tf_efficientnetv2_m_in21ft1k,410.56,623.518,256,480,24.76,89.84,54.14
+tf_efficientnetv2_m,410.47,623.661,256,480,24.76,89.84,54.14
+xcit_nano_12_p8_384_dist,410.15,624.154,256,384,6.34,46.08,3.05
+regnety_320,406.99,628.99,256,224,32.34,30.26,145.05
+regnety_160,405.46,631.367,256,288,26.37,38.07,83.59
+xcit_large_24_p16_224_dist,400.4,639.34,256,224,35.86,47.27,189.1
+xcit_large_24_p16_224,400.19,639.684,256,224,35.86,47.27,189.1
+regnetz_d8_evob,388.06,659.67,256,320,6.12,37.08,23.41
+tnt_b_patch16_224,385.58,663.922,256,224,14.09,39.01,65.41
+swin_large_patch4_window7_224,383.73,667.122,256,224,34.53,54.94,196.53
+resnetv2_50x1_bitm,374.41,683.729,256,448,16.62,44.46,25.55
+ssl_resnext101_32x16d,338.57,756.102,256,224,36.27,51.18,194.03
+swsl_resnext101_32x16d,338.32,756.674,256,224,36.27,51.18,194.03
+ig_resnext101_32x16d,338.18,756.969,256,224,36.27,51.18,194.03
+vit_large_patch16_224,326.85,783.223,256,224,61.6,63.52,304.33
+convnext_xlarge_in22ft1k,321.97,795.088,256,224,60.97,57.5,350.2
+tresnet_m_448,321.59,796.023,256,448,22.94,29.21,31.39
+xcit_small_24_p16_384_dist,315.9,810.38,256,384,26.72,68.58,47.67
+crossvit_15_dagger_408,307.27,833.13,256,408,21.45,95.05,28.5
+nasnetalarge,305.09,839.069,256,331,23.89,90.56,88.75
+beit_large_patch16_224,301.03,850.396,256,224,61.6,63.52,304.43
+pnasnet5large,294.97,867.879,256,331,25.04,92.89,86.06
+xcit_tiny_12_p8_384_dist,290.12,882.382,256,384,14.13,69.14,6.71
+ecaresnet269d,282.41,906.484,256,352,50.25,101.25,102.09
+nfnet_f1s,278.33,919.751,256,320,35.97,46.77,132.63
+nfnet_f1,277.93,921.079,256,320,35.97,46.77,132.63
+resnetrs270,274.74,931.762,256,352,51.13,105.48,129.86
+convnext_base_384_in22ft1k,274.29,933.296,256,384,45.2,84.49,88.59
+resnetv2_152x2_bit_teacher,268.11,954.835,256,224,46.95,45.11,236.34
+efficientnet_b6,261.2,490.039,128,528,19.4,167.39,43.04
+regnetx_320,257.17,995.447,256,224,31.81,36.3,107.81
+vit_base_patch16_384,256.27,998.923,256,384,55.54,101.56,86.86
+deit_base_patch16_384,256.23,999.078,256,384,55.54,101.56,86.86
+deit_base_distilled_patch16_384,253.03,1011.71,256,384,55.65,101.82,87.63
+dm_nfnet_f1,251.34,1018.532,256,320,35.97,46.77,132.63
+tf_efficientnet_b6_ns,249.3,513.425,128,528,19.4,167.39,43.04
+tf_efficientnet_b6_ap,249.28,513.468,128,528,19.4,167.39,43.04
+tf_efficientnet_b6,249.27,513.475,128,528,19.4,167.39,43.04
+cait_xxs24_384,240.96,1062.389,256,384,9.63,122.66,12.03
+resnetv2_101x1_bitm,237.63,1077.288,256,448,31.65,64.93,44.54
+xcit_small_24_p8_224,236.59,1082.038,256,224,35.81,90.78,47.63
+xcit_small_24_p8_224_dist,236.51,1082.395,256,224,35.81,90.78,47.63
+efficientnetv2_l,230.67,1109.79,256,480,56.4,157.99,118.52
+xcit_medium_24_p16_384_dist,229.71,1114.433,256,384,47.39,91.64,84.4
+crossvit_18_dagger_408,228.55,560.041,128,408,32.47,124.87,44.61
+tf_efficientnetv2_l,228.05,1122.527,256,480,56.4,157.99,118.52
+eca_nfnet_l2,227.63,1124.623,256,384,30.05,68.28,56.72
+tf_efficientnetv2_l_in21ft1k,227.22,1126.624,256,480,56.4,157.99,118.52
+vit_large_r50_s32_384,223.83,1143.726,256,384,57.43,76.52,329.09
+beit_base_patch16_384,221.26,1157.006,256,384,55.54,101.56,86.74
+regnetz_d8_evos,211.13,1212.504,256,320,7.03,38.92,23.46
+resmlp_big_24_224,198.32,1290.833,256,224,100.23,87.31,129.14
+resmlp_big_24_224_in22ft1k,197.59,1295.599,256,224,100.23,87.31,129.14
+resmlp_big_24_distilled_224,197.33,1297.278,256,224,100.23,87.31,129.14
+resnest200e,191.82,1334.548,256,320,35.69,82.78,70.2
+resnetrs350,182.63,1401.718,256,384,77.59,154.74,163.96
+swin_base_patch4_window12_384,171.61,745.879,128,384,47.19,134.78,87.9
+cait_xs24_384,171.6,1491.866,256,384,19.28,183.98,26.67
+xcit_medium_24_p8_224,171.09,1496.317,256,224,63.53,121.23,84.32
+xcit_medium_24_p8_224_dist,171.08,1496.368,256,224,63.53,121.23,84.32
+vit_base_patch8_224,170.14,1504.628,256,224,78.22,161.69,86.58
+tresnet_l_448,163.98,1561.153,256,448,43.5,47.56,55.99
+convnext_large_384_in22ft1k,162.15,1578.727,256,384,101.09,126.74,197.77
+cait_xxs36_384,161.38,1586.306,256,384,14.35,183.7,17.37
+vit_base_r50_s16_384,161.14,1588.636,256,384,67.43,135.03,98.95
+vit_base_resnet50_384,161.06,1589.462,256,384,67.43,135.03,98.95
+nfnet_f2s,156.52,1635.579,256,352,63.22,79.06,193.78
+efficientnet_b7,156.11,409.945,64,600,38.33,289.94,66.35
+nfnet_f2,155.79,1643.217,256,352,63.22,79.06,193.78
+xcit_tiny_24_p8_384_dist,152.9,1674.228,256,384,27.05,132.95,12.11
+densenet264d_iabn,151.23,1692.723,256,224,13.47,14.0,72.74
+xcit_small_12_p8_384_dist,150.53,1700.627,256,384,54.92,138.29,26.21
+tf_efficientnet_b7_ns,150.44,425.41,64,600,38.33,289.94,66.35
+tf_efficientnet_b7_ap,150.35,425.668,64,600,38.33,289.94,66.35
+tf_efficientnet_b7,150.33,425.703,64,600,38.33,289.94,66.35
+efficientnetv2_xl,146.15,1751.589,256,512,93.85,247.32,208.12
+tf_efficientnetv2_xl_in21ft1k,144.77,1768.278,256,512,93.85,247.32,208.12
+dm_nfnet_f2,141.71,1806.539,256,352,63.22,79.06,193.78
+xcit_large_24_p16_384_dist,138.32,1850.744,256,384,105.35,137.17,189.1
+cait_s24_384,132.94,1925.665,256,384,32.17,245.31,47.06
+resnetrs420,132.69,1929.303,256,416,108.45,213.79,191.89
+vit_huge_patch14_224,131.53,1946.246,256,224,167.4,139.41,632.05
+eca_nfnet_l3,127.14,2013.536,256,448,52.55,118.4,72.04
+tresnet_xl_448,120.79,2119.391,256,448,60.65,61.31,78.44
+efficientnet_cc_b0_8e,117.25,8.519,1,224,0.42,9.42,24.01
+efficientnet_cc_b0_4e,114.89,8.693,1,224,0.41,9.42,13.31
+convnext_xlarge_384_in22ft1k,110.42,1159.152,128,384,179.18,168.99,350.2
+tf_efficientnet_cc_b0_8e,109.13,9.153,1,224,0.42,9.42,24.01
+swin_large_patch4_window12_384,108.07,1184.415,128,384,104.08,202.16,196.74
+tf_efficientnet_cc_b0_4e,106.38,9.39,1,224,0.41,9.42,13.31
+xcit_large_24_p8_224,103.21,2480.29,256,224,141.23,181.56,188.93
+xcit_large_24_p8_224_dist,103.09,2483.315,256,224,141.23,181.56,188.93
+efficientnet_b8,95.86,667.618,64,672,63.48,442.89,87.41
+resnetv2_152x2_bit_teacher_384,93.91,2726.129,256,384,136.16,132.56,236.34
+tf_efficientnet_b8,93.03,687.97,64,672,63.48,442.89,87.41
+tf_efficientnet_b8_ap,92.99,688.234,64,672,63.48,442.89,87.41
+resnetv2_50x3_bitm,90.18,1419.305,128,448,145.7,133.37,217.32
+resnest269e,90.1,2841.126,256,416,77.69,171.98,110.93
+cait_s36_384,88.82,2882.347,256,384,47.99,367.4,68.37
+vit_large_patch16_384,88.44,2894.698,256,384,191.21,270.24,304.72
+vit_giant_patch14_224,87.02,2941.98,256,224,267.18,192.64,1012.61
+nfnet_f3s,85.07,3009.339,256,416,115.58,141.78,254.92
+nfnet_f3,84.65,3024.233,256,416,115.58,141.78,254.92
+efficientnet_cc_b1_8e,83.46,11.971,1,240,0.75,15.44,39.72
+convmixer_1024_20_ks9_p14,81.44,3143.542,256,224,5.55,5.51,24.38
+xcit_small_24_p8_384_dist,78.98,3241.259,256,384,105.24,265.91,47.63
+beit_large_patch16_384,77.03,3323.174,256,384,191.21,270.24,305.0
+dm_nfnet_f3,76.93,3327.777,256,416,115.58,141.78,254.92
+tf_efficientnet_cc_b1_8e,76.09,13.131,1,240,0.75,15.44,39.72
+resnetv2_152x2_bitm,68.83,1859.681,128,448,184.99,180.43,236.34
+xcit_medium_24_p8_384_dist,58.64,4365.679,256,384,186.67,354.73,84.32
+resnetv2_101x3_bitm,55.09,2323.244,128,448,280.33,194.78,387.93
+vit_gigantic_patch14_224,52.92,4837.231,256,224,483.95,275.37,1844.44
+nfnet_f4s,45.21,5662.39,256,512,216.26,262.26,316.07
+nfnet_f4,45.13,5672.08,256,512,216.26,262.26,316.07
+dm_nfnet_f4,41.12,6225.397,256,512,216.26,262.26,316.07
+xcit_large_24_p8_384_dist,35.18,3638.243,128,384,415.0,531.82,188.93
+nfnet_f5s,33.4,7663.628,256,544,290.97,349.71,377.21
+nfnet_f5,33.22,7705.647,256,544,290.97,349.71,377.21
+beit_large_patch16_512,31.23,2049.459,64,512,362.24,656.39,305.67
+cait_m36_384,30.6,8365.416,256,384,173.11,734.81,271.22
+dm_nfnet_f5,30.51,8392.012,256,544,290.97,349.71,377.21
+nfnet_f6s,24.87,10292.837,256,576,378.69,452.2,438.36
+nfnet_f6,24.74,10346.138,256,576,378.69,452.2,438.36
+dm_nfnet_f6,23.05,11108.286,256,576,378.69,452.2,438.36
+nfnet_f7s,19.54,13099.713,256,608,480.39,570.85,499.5
+nfnet_f7,19.47,13146.917,256,608,480.39,570.85,499.5
+resnetv2_152x4_bitm,17.96,3562.952,64,480,844.84,414.26,936.53
+cait_m48_448,13.23,9672.182,128,448,329.41,1708.23,356.46
+convmixer_1536_20,13.15,19467.539,256,224,48.68,33.03,51.63
diff --git a/results/model_metadata_in1k.csv b/results/model_metadata_in1k.csv
index bbb160f9..7647ea5a 100644
--- a/results/model_metadata_in1k.csv
+++ b/results/model_metadata_in1k.csv
@@ -452,10 +452,10 @@ 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_patch16_224_sam,in1k
 vit_base_patch32_224,in21k
 vit_base_patch32_384,in21k
-vit_base_patch32_sam_224,in1k
+vit_base_patch32_224_sam,in1k
 vit_base_r50_s16_384,in21k
 vit_large_patch16_224,in21k
 vit_large_patch16_384,in21k
diff --git a/results/results-imagenet-a-clean.csv b/results/results-imagenet-a-clean.csv
index e109ac1b..9db7cd09 100644
--- a/results/results-imagenet-a-clean.csv
+++ b/results/results-imagenet-a-clean.csv
@@ -309,7 +309,7 @@ gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic
 gmlp_s16_224,94.150,5.850,98.500,1.500,19.42,224,0.875,bicubic
 efficientnet_b2_pruned,94.140,5.860,98.530,1.470,8.31,260,0.890,bicubic
 regnety_064,94.140,5.860,98.730,1.270,30.58,224,0.875,bicubic
-vit_base_patch16_sam_224,94.140,5.860,98.670,1.330,86.57,224,0.900,bicubic
+vit_base_patch16_224_sam,94.140,5.860,98.670,1.330,86.57,224,0.900,bicubic
 regnetx_160,94.120,5.880,98.740,1.260,54.28,224,0.875,bicubic
 nf_regnet_b1,94.120,5.880,98.630,1.370,10.22,288,0.900,bicubic
 dpn98,94.110,5.890,98.580,1.420,61.57,224,0.875,bicubic
@@ -513,7 +513,7 @@ semnasnet_075,90.080,9.920,97.430,2.570,2.91,224,0.875,bicubic
 ghostnet_100,90.030,9.970,97.370,2.630,5.18,224,0.875,bilinear
 pit_ti_224,89.950,10.050,97.450,2.550,4.85,224,0.900,bicubic
 tv_resnet34,89.930,10.070,97.340,2.660,21.80,224,0.875,bilinear
-vit_base_patch32_sam_224,89.750,10.250,97.000,3.000,88.22,224,0.900,bicubic
+vit_base_patch32_224_sam,89.750,10.250,97.000,3.000,88.22,224,0.900,bicubic
 tf_mobilenetv3_large_075,89.680,10.320,97.210,2.790,3.99,224,0.875,bilinear
 xcit_nano_12_p16_224_dist,89.680,10.320,97.090,2.910,3.05,224,1.000,bicubic
 deit_tiny_patch16_224,89.670,10.330,97.440,2.560,5.72,224,0.900,bicubic
diff --git a/results/results-imagenet-a.csv b/results/results-imagenet-a.csv
index c5409656..900004d5 100644
--- a/results/results-imagenet-a.csv
+++ b/results/results-imagenet-a.csv
@@ -373,7 +373,7 @@ crossvit_tiny_240,9.107,90.893,34.587,65.413,7.01,240,0.875,bicubic,-81.143,-63.
 resnest26d,9.080,90.920,37.840,62.160,17.07,224,0.875,bilinear,-84.240,-60.190,+10
 vit_tiny_patch16_224,9.067,90.933,34.600,65.400,5.72,224,0.900,bicubic,-82.693,-63.440,+98
 regnety_040,9.013,90.987,37.040,62.960,20.65,224,0.875,bicubic,-84.847,-61.610,-40
-vit_base_patch16_sam_224,8.987,91.013,36.160,63.840,86.57,224,0.900,bicubic,-85.153,-62.510,-64
+vit_base_patch16_224_sam,8.987,91.013,36.160,63.840,86.57,224,0.900,bicubic,-85.153,-62.510,-64
 gluon_resnext50_32x4d,8.973,91.027,36.307,63.693,25.03,224,0.875,bicubic,-84.837,-62.103,-36
 rexnet_100,8.907,91.093,36.373,63.627,4.80,224,0.875,bicubic,-84.123,-62.017,+21
 seresnext26t_32x4d,8.893,91.107,36.920,63.080,16.81,224,0.875,bicubic,-83.927,-61.450,+34
@@ -476,7 +476,7 @@ resnext26ts,4.680,95.320,29.013,70.987,10.30,256,0.900,bicubic,-87.190,-68.907,-
 selecsls42b,4.667,95.333,28.587,71.413,32.46,224,0.875,bicubic,-87.613,-69.553,-30
 tf_efficientnet_lite1,4.613,95.387,28.387,71.613,5.42,240,0.882,bicubic,-88.007,-69.683,-49
 mobilenetv2_120d,4.533,95.467,29.280,70.720,5.83,224,0.875,bicubic,-87.867,-68.770,-37
-vit_base_patch32_sam_224,4.333,95.667,24.387,75.613,88.22,224,0.900,bicubic,-85.417,-72.613,+37
+vit_base_patch32_224_sam,4.333,95.667,24.387,75.613,88.22,224,0.900,bicubic,-85.417,-72.613,+37
 efficientnet_es_pruned,4.213,95.787,26.533,73.467,5.44,224,0.875,bicubic,-86.967,-71.217,+5
 tinynet_b,4.187,95.813,26.707,73.293,3.73,188,0.875,bicubic,-86.743,-70.963,+13
 fbnetc_100,4.133,95.867,25.933,74.067,5.57,224,0.875,bilinear,-86.577,-71.277,+18
diff --git a/results/results-imagenet-r-clean.csv b/results/results-imagenet-r-clean.csv
index 9970f543..415c8e07 100644
--- a/results/results-imagenet-r-clean.csv
+++ b/results/results-imagenet-r-clean.csv
@@ -304,7 +304,7 @@ dpn98,93.920,6.080,98.920,1.080,61.57,224,0.875,bicubic
 gluon_resnet152_v1c,93.890,6.110,98.800,1.200,60.21,224,0.875,bicubic
 regnetx_160,93.890,6.110,99.090,0.910,54.28,224,0.875,bicubic
 regnety_080,93.890,6.110,99.000,1.000,39.18,224,0.875,bicubic
-vit_base_patch16_sam_224,93.890,6.110,98.890,1.110,86.57,224,0.900,bicubic
+vit_base_patch16_224_sam,93.890,6.110,98.890,1.110,86.57,224,0.900,bicubic
 nf_regnet_b1,93.880,6.120,98.740,1.260,10.22,288,0.900,bicubic
 xception71,93.880,6.120,98.950,1.050,42.34,299,0.903,bicubic
 cspresnet50,93.860,6.140,98.860,1.140,21.62,256,0.887,bilinear
@@ -518,7 +518,7 @@ skresnet18,90.170,9.830,97.780,2.220,11.96,224,0.875,bicubic
 xcit_nano_12_p16_224_dist,90.170,9.830,97.760,2.240,3.05,224,1.000,bicubic
 resnet18d,89.990,10.010,97.830,2.170,11.71,224,0.875,bicubic
 hrnet_w18_small,89.880,10.120,97.900,2.100,13.19,224,0.875,bilinear
-vit_base_patch32_sam_224,89.860,10.140,97.600,2.400,88.22,224,0.900,bicubic
+vit_base_patch32_224_sam,89.860,10.140,97.600,2.400,88.22,224,0.900,bicubic
 mobilenetv2_100,89.830,10.170,97.830,2.170,3.50,224,0.875,bicubic
 vgg19,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear
 deit_tiny_patch16_224,89.620,10.380,97.960,2.040,5.72,224,0.900,bicubic
diff --git a/results/results-imagenet-r.csv b/results/results-imagenet-r.csv
index 98bfe022..906bdb5a 100644
--- a/results/results-imagenet-r.csv
+++ b/results/results-imagenet-r.csv
@@ -341,7 +341,7 @@ xception65,40.270,59.730,55.277,44.723,39.92,299,0.903,bicubic,-53.490,-43.583,-
 densenet201,40.267,59.733,56.700,43.300,20.01,224,0.875,bicubic,-52.423,-41.950,+84
 resnext50d_32x4d,40.163,59.837,55.487,44.513,25.05,224,0.875,bicubic,-53.647,-43.253,-23
 eca_resnet33ts,40.130,59.870,56.997,43.003,19.68,256,0.900,bicubic,-53.730,-41.893,-32
-vit_base_patch16_sam_224,40.103,59.897,55.430,44.570,86.57,224,0.900,bicubic,-53.787,-43.460,-37
+vit_base_patch16_224_sam,40.103,59.897,55.430,44.570,86.57,224,0.900,bicubic,-53.787,-43.460,-37
 hrnet_w48,40.097,59.903,56.640,43.360,77.47,224,0.875,bilinear,-53.933,-42.400,-53
 legacy_seresnet152,40.050,59.950,55.813,44.187,66.82,224,0.875,bilinear,-53.390,-43.037,+21
 hrnet_w30,40.030,59.970,57.117,42.883,37.71,224,0.875,bilinear,-53.360,-41.713,+29
@@ -452,7 +452,7 @@ eca_botnext26ts_256,36.670,63.330,52.477,47.523,10.59,256,0.950,bicubic,-56.690,
 hardcorenas_a,36.643,63.357,54.910,45.090,5.26,224,0.875,bilinear,-54.977,-43.260,+25
 levit_128s,36.623,63.377,53.137,46.863,7.78,224,0.900,bicubic,-54.877,-45.263,+27
 efficientnet_b0,36.603,63.397,53.487,46.513,5.29,224,0.875,bicubic,-55.877,-45.193,-14
-vit_base_patch32_sam_224,36.547,63.453,53.043,46.957,88.22,224,0.900,bicubic,-53.313,-44.557,+66
+vit_base_patch32_224_sam,36.547,63.453,53.043,46.957,88.22,224,0.900,bicubic,-53.313,-44.557,+66
 xcit_nano_12_p8_224_dist,36.540,63.460,52.883,47.117,3.05,224,1.000,bicubic,-55.880,-45.647,-10
 tf_efficientnet_em,36.370,63.630,52.843,47.157,6.90,240,0.882,bicubic,-56.810,-45.827,-66
 skresnet18,36.320,63.680,54.193,45.807,11.96,224,0.875,bicubic,-53.850,-43.587,+59
diff --git a/results/results-imagenet-real.csv b/results/results-imagenet-real.csv
index 2dca7538..56959e80 100644
--- a/results/results-imagenet-real.csv
+++ b/results/results-imagenet-real.csv
@@ -275,7 +275,7 @@ vit_large_patch32_384,85.911,14.089,97.368,2.632,306.63,384,1.000,bicubic,+4.401
 tf_efficientnetv2_b2,85.900,14.100,96.889,3.111,10.10,260,0.890,bicubic,+5.694,+1.847,+5
 tf_efficientnet_b2,85.898,14.102,96.862,3.139,9.11,260,0.890,bicubic,+5.818,+1.954,+11
 resnet50_gn,85.883,14.117,96.849,3.151,25.56,224,0.940,bicubic,+5.831,+1.903,+12
-vit_base_patch16_sam_224,85.877,14.123,96.697,3.303,86.57,224,0.900,bicubic,+5.635,+1.941,-2
+vit_base_patch16_224_sam,85.877,14.123,96.697,3.303,86.57,224,0.900,bicubic,+5.635,+1.941,-2
 seresnet50,85.853,14.147,97.009,2.991,28.09,224,0.875,bicubic,+5.589,+1.937,-5
 repvgg_b2g4,85.849,14.151,96.812,3.188,61.76,224,0.875,bilinear,+6.479,+2.126,+47
 gluon_resnet101_v1d,85.847,14.153,96.663,3.337,44.57,224,0.875,bicubic,+5.431,+1.647,-18
@@ -516,7 +516,7 @@ tv_resnet34,80.389,19.611,94.438,5.562,21.80,224,0.875,bilinear,+7.081,+3.014,-3
 resnet18d,80.385,19.615,94.246,5.754,11.71,224,0.875,bicubic,+8.135,+3.558,+8
 mobilenetv2_100,80.255,19.745,94.197,5.803,3.50,224,0.875,bicubic,+7.289,+3.179,0
 xcit_nano_12_p16_224_dist,80.216,19.784,94.357,5.643,3.05,224,1.000,bicubic,+7.914,+3.495,+5
-vit_base_patch32_sam_224,80.210,19.790,93.823,6.177,88.22,224,0.900,bicubic,+6.518,+2.811,-11
+vit_base_patch32_224_sam,80.210,19.790,93.823,6.177,88.22,224,0.900,bicubic,+6.518,+2.811,-11
 ssl_resnet18,80.101,19.899,94.590,5.410,11.69,224,0.875,bilinear,+7.495,+3.166,-1
 tf_mobilenetv3_large_075,80.088,19.912,94.182,5.818,3.99,224,0.875,bilinear,+6.648,+2.834,-12
 deit_tiny_patch16_224,80.011,19.988,94.449,5.551,5.72,224,0.900,bicubic,+7.846,+3.329,+4
diff --git a/results/results-imagenet.csv b/results/results-imagenet.csv
index 998a7c91..ae25e015 100644
--- a/results/results-imagenet.csv
+++ b/results/results-imagenet.csv
@@ -273,7 +273,7 @@ gluon_resnet101_v1s,80.302,19.698,95.160,4.840,44.67,224,0.875,bicubic
 tf_efficientnet_b2_ap,80.302,19.698,95.028,4.972,9.11,260,0.890,bicubic
 seresnet50,80.264,19.736,95.072,4.928,28.09,224,0.875,bicubic
 tf_efficientnet_el,80.250,19.750,95.130,4.870,10.59,300,0.904,bicubic
-vit_base_patch16_sam_224,80.242,19.758,94.756,5.244,86.57,224,0.900,bicubic
+vit_base_patch16_224_sam,80.242,19.758,94.756,5.244,86.57,224,0.900,bicubic
 regnetx_320,80.240,19.760,95.022,4.978,107.81,224,0.875,bicubic
 legacy_seresnext101_32x4d,80.228,19.772,95.014,4.986,48.96,224,0.875,bilinear
 repvgg_b3g4,80.212,19.788,95.106,4.894,83.83,224,0.875,bilinear
@@ -505,7 +505,7 @@ ghostnet_100,73.978,26.022,91.458,8.542,5.18,224,0.875,bilinear
 crossvit_9_240,73.970,26.030,91.964,8.036,8.55,240,0.875,bicubic
 xcit_nano_12_p8_224,73.918,26.082,92.170,7.830,3.05,224,1.000,bicubic
 regnetx_006,73.852,26.148,91.674,8.326,6.20,224,0.875,bicubic
-vit_base_patch32_sam_224,73.692,26.308,91.012,8.988,88.22,224,0.900,bicubic
+vit_base_patch32_224_sam,73.692,26.308,91.012,8.988,88.22,224,0.900,bicubic
 tf_mobilenetv3_large_075,73.440,26.560,91.348,8.652,3.99,224,0.875,bilinear
 vgg16_bn,73.350,26.650,91.504,8.496,138.37,224,0.875,bilinear
 crossvit_tiny_240,73.336,26.664,91.916,8.084,7.01,240,0.875,bicubic
diff --git a/results/results-imagenetv2-matched-frequency.csv b/results/results-imagenetv2-matched-frequency.csv
index e5190e2c..fdf25a92 100644
--- a/results/results-imagenetv2-matched-frequency.csv
+++ b/results/results-imagenetv2-matched-frequency.csv
@@ -314,7 +314,7 @@ fbnetv3_d,68.340,31.660,88.450,11.550,10.31,256,0.950,bilinear,-11.342,-6.500,-2
 resmlp_big_24_224,68.320,31.680,87.530,12.470,129.14,224,0.875,bicubic,-12.712,-7.490,-85
 efficientnet_b2_pruned,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.754,-21
 gluon_resnext50_32x4d,68.300,31.700,87.290,12.710,25.03,224,0.875,bicubic,-11.068,-7.136,+12
-vit_base_patch16_sam_224,68.260,31.740,87.720,12.280,86.57,224,0.900,bicubic,-11.982,-7.036,-41
+vit_base_patch16_224_sam,68.260,31.740,87.720,12.280,86.57,224,0.900,bicubic,-11.982,-7.036,-41
 ecaresnet26t,68.230,31.770,88.800,11.200,16.01,320,0.950,bicubic,-11.618,-6.284,-18
 tf_efficientnet_lite3,68.230,31.770,87.740,12.260,8.20,300,0.904,bilinear,-11.588,-7.174,-15
 ese_vovnet39b,68.200,31.800,88.260,11.740,24.57,224,0.875,bicubic,-11.110,-6.456,+10
@@ -518,7 +518,7 @@ tf_mobilenetv3_large_075,60.400,39.600,81.950,18.050,3.99,224,0.875,bilinear,-13
 xcit_nano_12_p16_224_dist,60.240,39.760,82.500,17.500,3.05,224,1.000,bicubic,-12.062,-8.362,+5
 mobilenetv2_100,60.190,39.810,82.240,17.760,3.50,224,0.875,bicubic,-12.776,-8.778,-2
 resnet18d,60.180,39.820,82.310,17.690,11.71,224,0.875,bicubic,-12.070,-8.378,+4
-vit_base_patch32_sam_224,60.010,39.990,81.230,18.770,88.22,224,0.900,bicubic,-13.682,-9.782,-13
+vit_base_patch32_224_sam,60.010,39.990,81.230,18.770,88.22,224,0.900,bicubic,-13.682,-9.782,-13
 deit_tiny_patch16_224,59.830,40.170,82.660,17.340,5.72,224,0.900,bicubic,-12.336,-8.460,+4
 legacy_seresnet18,59.810,40.190,81.690,18.310,11.78,224,0.875,bicubic,-11.932,-8.642,+7
 vgg19,59.710,40.290,81.450,18.550,143.67,224,0.875,bilinear,-12.656,-9.420,-3
diff --git a/results/results-sketch.csv b/results/results-sketch.csv
index 1709535a..b2bc6eb6 100644
--- a/results/results-sketch.csv
+++ b/results/results-sketch.csv
@@ -349,7 +349,7 @@ regnetx_160,27.823,72.177,45.625,54.375,54.28,224,0.875,bicubic,-52.025,-49.205,
 tf_inception_v3,27.778,72.222,45.719,54.281,23.83,299,0.875,bicubic,-50.076,-47.919,+63
 res2net101_26w_4s,27.772,72.228,45.169,54.831,45.21,224,0.875,bilinear,-51.426,-49.269,-4
 tf_efficientnetv2_b1,27.756,72.243,46.578,53.422,8.14,240,0.882,bicubic,-51.706,-48.148,-28
-vit_base_patch16_sam_224,27.711,72.289,45.106,54.894,86.57,224,0.900,bicubic,-52.531,-49.650,-76
+vit_base_patch16_224_sam,27.711,72.289,45.106,54.894,86.57,224,0.900,bicubic,-52.531,-49.650,-76
 fbnetv3_b,27.668,72.332,46.983,53.017,8.60,256,0.950,bilinear,-51.482,-47.763,-6
 repvgg_b1,27.652,72.348,46.521,53.479,57.42,224,0.875,bilinear,-50.716,-47.575,+32
 hrnet_w44,27.615,72.385,45.837,54.163,67.06,224,0.875,bilinear,-51.285,-48.535,+5
@@ -480,7 +480,7 @@ tf_efficientnet_em,23.359,76.641,40.402,59.598,6.90,240,0.882,bicubic,-54.773,-5
 repvgg_b0,23.317,76.683,41.178,58.822,15.82,224,0.875,bilinear,-51.839,-51.240,+5
 xcit_nano_12_p16_224_dist,23.255,76.746,41.370,58.630,3.05,224,1.000,bicubic,-49.048,-49.492,+42
 mobilenetv2_110d,23.074,76.926,40.726,59.274,4.52,224,0.875,bicubic,-51.966,-51.458,+7
-vit_base_patch32_sam_224,23.048,76.952,39.572,60.428,88.22,224,0.900,bicubic,-50.644,-51.440,+25
+vit_base_patch32_224_sam,23.048,76.952,39.572,60.428,88.22,224,0.900,bicubic,-50.644,-51.440,+25
 tinynet_b,23.015,76.985,40.971,59.029,3.73,188,0.875,bicubic,-51.965,-51.215,+8
 deit_tiny_distilled_patch16_224,22.726,77.274,40.771,59.229,5.91,224,0.900,bicubic,-51.786,-51.117,+15
 mobilenetv3_large_100,22.655,77.345,40.777,59.223,5.48,224,0.875,bicubic,-53.107,-51.763,-13