Add update NCHW and NHWC inference benchmark numbers for current models. Flip name of 'sam' vit models in results files

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
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+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

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

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

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

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

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

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

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

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

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