Add PyTorch 1.13 inference benchmark numbers

results/benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv

@@ -0,0 +1,933 @@
+model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
+tinynet_e,49277.65,20.77,1024,106,0.03,0.69,2.04
+mobilenetv3_small_050,45562.75,22.464,1024,224,0.03,0.92,1.59
+lcnet_035,41026.68,24.949,1024,224,0.03,1.04,1.64
+lcnet_050,37575.13,27.242,1024,224,0.05,1.26,1.88
+mobilenetv3_small_075,33062.39,30.961,1024,224,0.05,1.3,2.04
+mobilenetv3_small_100,30012.26,34.109,1024,224,0.06,1.42,2.54
+tf_mobilenetv3_small_minimal_100,28698.14,35.672,1024,224,0.06,1.41,2.04
+tf_mobilenetv3_small_075,27407.51,37.352,1024,224,0.05,1.3,2.04
+tinynet_d,27236.47,37.585,1024,152,0.05,1.42,2.34
+tf_mobilenetv3_small_100,25103.65,40.781,1024,224,0.06,1.42,2.54
+lcnet_075,24140.95,42.406,1024,224,0.1,1.99,2.36
+mnasnet_small,20706.43,49.443,1024,224,0.07,2.16,2.03
+levit_128s,20595.72,49.709,1024,224,0.31,1.88,7.78
+lcnet_100,19684.75,52.01,1024,224,0.16,2.52,2.95
+mobilenetv2_035,18358.82,55.767,1024,224,0.07,2.86,1.68
+regnetx_002,18244.04,56.117,1024,224,0.2,2.16,2.68
+ghostnet_050,17564.96,58.287,1024,224,0.05,1.77,2.59
+regnety_002,17006.07,60.202,1024,224,0.2,2.17,3.16
+mnasnet_050,15925.32,64.29,1024,224,0.11,3.07,2.22
+vit_tiny_r_s16_p8_224,15068.38,67.946,1024,224,0.44,2.06,6.34
+mobilenetv2_050,14843.74,68.974,1024,224,0.1,3.64,1.97
+tinynet_c,14634.69,69.959,1024,184,0.11,2.87,2.46
+semnasnet_050,14248.78,71.855,1024,224,0.11,3.44,2.08
+levit_128,14164.26,72.284,1024,224,0.41,2.71,9.21
+vit_small_patch32_224,13811.36,74.131,1024,224,1.15,2.5,22.88
+mixer_s32_224,13352.85,76.677,1024,224,1.0,2.28,19.1
+cs3darknet_focus_s,12798.44,79.999,1024,256,0.69,2.7,3.27
+lcnet_150,12783.12,80.094,1024,224,0.34,3.79,4.5
+cs3darknet_s,12395.11,82.602,1024,256,0.72,2.97,3.28
+regnetx_004,12366.39,82.791,1024,224,0.4,3.14,5.16
+mobilenetv3_large_075,12001.32,85.313,1024,224,0.16,4.0,3.99
+levit_192,11882.81,86.163,1024,224,0.66,3.2,10.95
+resnet10t,11615.84,88.145,1024,224,1.1,2.43,5.44
+ese_vovnet19b_slim_dw,11539.4,88.729,1024,224,0.4,5.28,1.9
+gernet_s,11496.77,89.058,1024,224,0.75,2.65,8.17
+mobilenetv3_rw,10873.77,94.16,1024,224,0.23,4.41,5.48
+mobilenetv3_large_100,10705.06,95.645,1024,224,0.23,4.41,5.48
+hardcorenas_a,10554.34,97.012,1024,224,0.23,4.38,5.26
+tf_mobilenetv3_large_075,10511.12,97.41,1024,224,0.16,4.0,3.99
+tf_mobilenetv3_large_minimal_100,10371.16,98.725,1024,224,0.22,4.4,3.92
+mnasnet_075,10345.17,98.972,1024,224,0.23,4.77,3.17
+hardcorenas_b,9695.74,105.601,1024,224,0.26,5.09,5.18
+regnety_004,9655.22,106.046,1024,224,0.41,3.89,4.34
+ghostnet_100,9483.99,107.96,1024,224,0.15,3.55,5.18
+hardcorenas_c,9481.05,107.994,1024,224,0.28,5.01,5.52
+tf_mobilenetv3_large_100,9456.79,108.271,1024,224,0.23,4.41,5.48
+regnetx_006,9408.22,108.83,1024,224,0.61,3.98,6.2
+mobilenetv2_075,9313.88,109.932,1024,224,0.22,5.86,2.64
+tinynet_b,9291.99,110.191,1024,188,0.21,4.44,3.73
+mnasnet_b1,9286.4,110.258,1024,224,0.33,5.46,4.38
+mnasnet_100,9263.52,110.53,1024,224,0.33,5.46,4.38
+gluon_resnet18_v1b,9078.31,112.785,1024,224,1.82,2.48,11.69
+semnasnet_075,9069.42,112.895,1024,224,0.23,5.54,2.91
+resnet18,9045.63,113.192,1024,224,1.82,2.48,11.69
+ssl_resnet18,9045.4,113.196,1024,224,1.82,2.48,11.69
+swsl_resnet18,9040.4,113.258,1024,224,1.82,2.48,11.69
+levit_256,8921.47,114.768,1024,224,1.13,4.23,18.89
+hardcorenas_d,8879.46,115.311,1024,224,0.3,4.93,7.5
+regnety_006,8666.48,118.144,1024,224,0.61,4.33,6.06
+seresnet18,8542.99,119.851,1024,224,1.82,2.49,11.78
+mobilenetv2_100,8507.29,120.356,1024,224,0.31,6.68,3.5
+spnasnet_100,8342.04,122.741,1024,224,0.35,6.03,4.42
+legacy_seresnet18,8310.8,123.202,1024,224,1.82,2.49,11.78
+semnasnet_100,8284.16,123.599,1024,224,0.32,6.23,3.89
+mnasnet_a1,8283.57,123.607,1024,224,0.32,6.23,3.89
+regnetx_008,7852.75,130.39,1024,224,0.81,5.15,7.26
+hardcorenas_f,7809.07,131.117,1024,224,0.35,5.57,8.2
+hardcorenas_e,7730.97,132.444,1024,224,0.35,5.65,8.07
+efficientnet_lite0,7722.75,132.584,1024,224,0.4,6.74,4.65
+levit_256d,7689.03,133.165,1024,224,1.4,4.93,26.21
+xcit_nano_12_p16_224_dist,7674.8,133.413,1024,224,0.56,4.17,3.05
+xcit_nano_12_p16_224,7670.11,133.492,1024,224,0.56,4.17,3.05
+resnet18d,7636.48,134.082,1024,224,2.06,3.29,11.71
+ghostnet_130,7625.58,134.274,1024,224,0.24,4.6,7.36
+tf_efficientnetv2_b0,7614.25,134.473,1024,224,0.73,4.77,7.14
+ese_vovnet19b_slim,7588.4,134.932,1024,224,1.69,3.52,3.17
+deit_tiny_distilled_patch16_224,7449.3,137.451,1024,224,1.27,6.01,5.91
+deit_tiny_patch16_224,7398.73,138.391,1024,224,1.26,5.97,5.72
+vit_tiny_patch16_224,7390.78,138.538,1024,224,1.26,5.97,5.72
+regnety_008,7366.88,138.989,1024,224,0.81,5.25,6.26
+tinynet_a,7358.6,139.145,1024,192,0.35,5.41,6.19
+dla46_c,7311.64,140.038,1024,224,0.58,4.5,1.3
+fbnetc_100,7303.94,140.187,1024,224,0.4,6.51,5.57
+mobilevitv2_050,7248.37,141.262,1024,256,0.48,8.04,1.37
+tf_efficientnet_lite0,6816.26,150.218,1024,224,0.4,6.74,4.65
+pit_ti_distilled_224,6788.49,150.832,1024,224,0.71,6.23,5.1
+pit_ti_224,6762.99,151.401,1024,224,0.7,6.19,4.85
+efficientnet_b0,6687.26,153.115,1024,224,0.4,6.75,5.29
+visformer_tiny,6618.81,154.698,1024,224,1.27,5.72,10.32
+rexnet_100,6608.65,154.937,1024,224,0.41,7.44,4.8
+mnasnet_140,6580.58,155.597,1024,224,0.6,7.71,7.12
+efficientnet_b1_pruned,6513.48,157.201,1024,240,0.4,6.21,6.33
+rexnetr_100,6491.35,157.737,1024,224,0.43,7.72,4.88
+mobilenetv2_110d,6395.98,160.089,1024,224,0.45,8.71,4.52
+resnet14t,6341.58,161.462,1024,224,1.69,5.8,10.08
+regnetz_005,6208.75,164.916,1024,224,0.52,5.86,7.12
+dla46x_c,6145.64,166.61,1024,224,0.54,5.66,1.07
+nf_regnet_b0,6055.0,169.104,1024,256,0.64,5.58,8.76
+tf_efficientnet_b0,5992.76,170.862,1024,224,0.4,6.75,5.29
+hrnet_w18_small,5908.15,173.308,1024,224,1.61,5.72,13.19
+edgenext_xx_small,5886.07,173.957,1024,288,0.33,4.21,1.33
+semnasnet_140,5856.63,174.833,1024,224,0.6,8.87,6.11
+resnetblur18,5839.81,175.336,1024,224,2.34,3.39,11.69
+ese_vovnet19b_dw,5825.11,175.779,1024,224,1.34,8.25,6.54
+dla60x_c,5790.89,176.817,1024,224,0.59,6.01,1.32
+mobilenetv2_140,5780.41,177.139,1024,224,0.6,9.57,6.11
+skresnet18,5648.81,181.265,1024,224,1.82,3.24,11.96
+mobilevit_xxs,5528.18,185.22,1024,256,0.42,8.34,1.27
+efficientnet_b0_gn,5401.88,189.551,1024,224,0.42,6.75,5.29
+convnext_atto,5364.13,190.886,1024,288,0.91,6.3,3.7
+gluon_resnet34_v1b,5344.34,191.593,1024,224,3.67,3.74,21.8
+resnet34,5335.05,191.926,1024,224,3.67,3.74,21.8
+efficientnet_lite1,5334.12,191.959,1024,240,0.62,10.14,5.42
+tv_resnet34,5332.7,192.011,1024,224,3.67,3.74,21.8
+vit_base_patch32_224,5287.0,193.67,1024,224,4.41,5.01,88.22
+vit_base_patch32_clip_224,5281.4,193.877,1024,224,4.41,5.01,88.22
+levit_384,5276.74,194.047,1024,224,2.36,6.26,39.13
+pit_xs_distilled_224,5241.4,195.357,1024,224,1.41,7.76,11.0
+pit_xs_224,5237.09,195.517,1024,224,1.4,7.71,10.62
+selecsls42,5225.99,195.932,1024,224,2.94,4.62,30.35
+selecsls42b,5201.55,196.853,1024,224,2.98,4.62,32.46
+gernet_m,5124.67,199.807,1024,224,3.02,5.24,21.14
+pvt_v2_b0,5122.72,199.882,1024,224,0.57,7.99,3.67
+tf_efficientnetv2_b1,5122.21,199.903,1024,240,1.21,7.34,8.14
+mixnet_s,5079.84,201.57,1024,224,0.25,6.25,4.13
+convnext_atto_ols,5062.64,202.255,1024,288,0.96,6.8,3.7
+seresnet34,5028.88,203.611,1024,224,3.67,3.74,21.96
+rexnetr_130,5003.96,204.626,1024,224,0.68,9.81,7.61
+fbnetv3_b,5003.0,204.666,1024,256,0.55,9.1,8.6
+mixer_b32_224,4982.51,205.508,1024,224,3.24,6.29,60.29
+xcit_tiny_12_p16_224_dist,4879.26,209.853,1024,224,1.24,6.29,6.72
+legacy_seresnet34,4875.12,210.034,1024,224,3.67,3.74,21.96
+xcit_tiny_12_p16_224,4870.16,210.244,1024,224,1.24,6.29,6.72
+resnet34d,4834.78,211.786,1024,224,3.91,4.54,21.82
+tf_efficientnet_lite1,4822.03,212.348,1024,240,0.62,10.14,5.42
+resnet26,4794.98,213.545,1024,224,2.36,7.35,16.0
+mobilenetv2_120d,4786.27,213.934,1024,224,0.69,11.97,5.83
+rexnet_130,4770.1,214.659,1024,224,0.68,9.71,7.56
+efficientnet_b0_g16_evos,4743.69,215.854,1024,224,1.01,7.42,8.11
+efficientnet_es,4736.89,216.163,1024,224,1.81,8.73,5.44
+efficientnet_es_pruned,4735.25,216.239,1024,224,1.81,8.73,5.44
+tf_mixnet_s,4735.17,216.242,1024,224,0.25,6.25,4.13
+gmlp_ti16_224,4709.0,217.445,1024,224,1.34,7.55,5.87
+convnext_femto,4672.08,219.162,1024,288,1.3,7.56,5.22
+mobilevitv2_075,4638.17,220.764,1024,256,1.05,12.06,2.87
+resmlp_12_224,4601.92,222.504,1024,224,3.01,5.5,15.35
+resmlp_12_distilled_224,4597.97,222.695,1024,224,3.01,5.5,15.35
+gmixer_12_224,4543.02,225.388,1024,224,2.67,7.26,12.7
+fbnetv3_d,4532.2,225.927,1024,256,0.68,11.1,10.31
+tf_efficientnet_es,4518.93,226.591,1024,224,1.81,8.73,5.44
+selecsls60,4510.1,227.034,1024,224,3.59,5.52,30.67
+mixer_s16_224,4509.29,227.075,1024,224,3.79,5.97,18.53
+regnetx_016,4507.02,227.189,1024,224,1.62,7.93,9.19
+selecsls60b,4490.35,228.033,1024,224,3.63,5.52,32.77
+cs3darknet_focus_m,4487.64,228.171,1024,288,2.51,6.19,9.3
+dla34,4481.03,228.505,1024,224,3.07,5.02,15.74
+crossvit_tiny_240,4476.83,228.722,1024,240,1.57,9.08,7.01
+convnext_femto_ols,4473.25,228.904,1024,288,1.35,8.06,5.23
+vit_tiny_r_s16_p8_384,4463.13,229.423,1024,384,1.34,6.49,6.36
+cs3darknet_m,4452.94,229.949,1024,288,2.63,6.69,9.31
+repvgg_b0,4433.11,230.978,1024,224,3.41,6.15,15.82
+resnet26d,4354.59,235.143,1024,224,2.6,8.15,16.01
+rexnetr_150,4349.97,235.392,1024,224,0.89,11.13,9.78
+resnetaa34d,4309.77,237.588,1024,224,4.43,5.07,21.82
+efficientnet_b2_pruned,4309.58,237.598,1024,260,0.73,9.13,8.31
+darknet17,4296.61,238.316,1024,256,3.26,7.18,14.3
+vit_small_patch32_384,4250.58,240.897,1024,384,3.45,8.25,22.92
+crossvit_9_240,4201.98,243.683,1024,240,1.85,9.52,8.55
+nf_resnet26,4197.39,243.949,1024,224,2.41,7.35,16.0
+efficientnet_b0_g8_gn,4190.39,244.357,1024,224,0.66,6.75,6.56
+rexnet_150,4186.31,244.594,1024,224,0.9,11.21,9.73
+ecaresnet50d_pruned,4182.62,244.81,1024,224,2.53,6.43,19.94
+efficientformer_l1,4075.83,251.225,1024,224,1.3,5.53,12.29
+poolformer_s12,4050.19,252.815,1024,224,1.82,5.53,11.92
+regnety_016,4035.9,253.712,1024,224,1.63,8.04,11.2
+efficientnet_lite2,4013.48,255.128,1024,260,0.89,12.9,6.09
+crossvit_9_dagger_240,3992.98,256.437,1024,240,1.99,9.97,8.78
+efficientnet_cc_b0_8e,3929.29,260.595,1024,224,0.42,9.42,24.01
+efficientnet_cc_b0_4e,3918.01,261.346,1024,224,0.41,9.42,13.31
+darknet21,3914.26,261.596,1024,256,3.93,7.47,20.86
+efficientnet_b1,3876.9,264.116,1024,256,0.77,12.22,7.79
+tf_efficientnet_b1,3834.3,267.052,1024,240,0.71,10.88,7.79
+resnest14d,3793.21,269.944,1024,224,2.76,7.33,10.61
+sedarknet21,3784.73,270.549,1024,256,3.93,7.47,20.95
+resnext26ts,3775.5,271.211,1024,256,2.43,10.52,10.3
+tf_efficientnetv2_b2,3727.06,274.735,1024,260,1.72,9.84,10.1
+convnext_pico,3702.78,276.537,1024,288,2.27,10.08,9.05
+edgenext_x_small,3692.42,277.311,1024,288,0.68,7.5,2.34
+tf_efficientnet_cc_b0_8e,3691.33,277.395,1024,224,0.42,9.42,24.01
+dpn48b,3689.99,277.494,1024,224,1.69,8.92,9.13
+eca_resnext26ts,3675.59,278.583,1024,256,2.43,10.52,10.3
+seresnext26ts,3670.33,278.98,1024,256,2.43,10.52,10.39
+tf_efficientnet_cc_b0_4e,3665.41,279.357,1024,224,0.41,9.42,13.31
+tf_efficientnet_lite2,3662.0,279.618,1024,260,0.89,12.9,6.09
+nf_ecaresnet26,3619.99,282.862,1024,224,2.41,7.36,16.0
+nf_seresnet26,3618.8,282.955,1024,224,2.41,7.36,17.4
+gcresnext26ts,3594.7,284.852,1024,256,2.43,10.53,10.48
+mobilevitv2_100,3589.19,213.964,768,256,1.84,16.08,4.9
+gernet_l,3556.24,287.933,1024,256,4.57,8.0,31.08
+legacy_seresnext26_32x4d,3545.88,288.774,1024,224,2.49,9.39,16.79
+convnext_pico_ols,3532.27,289.886,1024,288,2.37,10.74,9.06
+resnet26t,3503.33,292.28,1024,256,3.35,10.52,16.01
+repvgg_a2,3454.82,296.386,1024,224,5.7,6.26,28.21
+mixnet_m,3418.52,299.526,1024,224,0.36,8.19,5.01
+efficientnet_b3_pruned,3356.7,305.049,1024,300,1.04,11.86,9.86
+nf_regnet_b1,3352.23,305.456,1024,288,1.02,9.2,10.22
+ecaresnext50t_32x4d,3339.2,306.649,1024,224,2.7,10.09,15.41
+ecaresnext26t_32x4d,3337.18,306.833,1024,224,2.7,10.09,15.41
+seresnext26tn_32x4d,3327.66,307.711,1024,224,2.7,10.09,16.81
+seresnext26t_32x4d,3327.23,307.751,1024,224,2.7,10.09,16.81
+seresnext26d_32x4d,3303.57,309.954,1024,224,2.73,10.19,16.81
+tf_mixnet_m,3301.19,310.17,1024,224,0.36,8.19,5.01
+convit_tiny,3286.62,311.554,1024,224,1.26,7.94,5.71
+mobilevit_xs,3278.19,234.265,768,256,1.05,16.33,2.32
+pit_s_224,3268.88,313.245,1024,224,2.88,11.56,23.46
+pit_s_distilled_224,3266.72,313.452,1024,224,2.9,11.64,24.04
+skresnet34,3242.45,315.8,1024,224,3.67,5.13,22.28
+eca_botnext26ts_256,3224.24,317.583,1024,256,2.46,11.6,10.59
+ecaresnet101d_pruned,3223.88,317.616,1024,224,3.48,7.69,24.88
+deit_small_distilled_patch16_224,3220.79,317.922,1024,224,4.63,12.02,22.44
+ecaresnetlight,3215.57,318.439,1024,224,4.11,8.42,30.16
+deit_small_patch16_224,3209.05,319.085,1024,224,4.61,11.95,22.05
+vit_small_patch16_224,3199.98,319.99,1024,224,4.61,11.95,22.05
+eca_halonext26ts,3173.71,322.639,1024,256,2.44,11.46,10.76
+convnextv2_atto,3162.98,323.733,1024,288,0.91,6.3,3.71
+resnetv2_50,3158.28,324.214,1024,224,4.11,11.11,25.55
+nf_regnet_b2,3133.63,326.765,1024,272,1.22,9.27,14.31
+rexnetr_200,3133.12,245.111,768,224,1.59,15.11,16.52
+botnet26t_256,3123.98,327.772,1024,256,3.32,11.98,12.49
+coat_lite_tiny,3113.54,328.874,1024,224,1.6,11.65,5.72
+vit_small_r26_s32_224,3112.34,329.001,1024,224,3.56,9.85,36.43
+bat_resnext26ts,3103.95,329.89,1024,256,2.53,12.51,10.73
+halonet26t,3103.39,329.95,1024,256,3.19,11.69,12.48
+pvt_v2_b1,3095.14,330.828,1024,224,2.12,15.39,14.01
+cspresnet50,3063.22,334.278,1024,256,4.54,11.5,21.62
+resnet32ts,3055.79,335.09,1024,256,4.63,11.58,17.96
+rexnet_200,3051.5,251.668,768,224,1.56,14.91,16.37
+lambda_resnet26t,3046.2,336.144,1024,256,3.02,11.87,10.96
+ssl_resnet50,3030.48,337.887,1024,224,4.11,11.11,25.56
+gluon_resnet50_v1b,3027.43,338.23,1024,224,4.11,11.11,25.56
+tv_resnet50,3027.39,338.232,1024,224,4.11,11.11,25.56
+swsl_resnet50,3027.07,338.268,1024,224,4.11,11.11,25.56
+resnet50,3025.4,338.455,1024,224,4.11,11.11,25.56
+deit3_small_patch16_224_in21ft1k,3023.02,338.721,1024,224,4.61,11.95,22.06
+deit3_small_patch16_224,3017.77,339.312,1024,224,4.61,11.95,22.06
+tresnet_m,3006.54,340.578,1024,224,5.74,7.31,31.39
+resnet33ts,3005.78,340.665,1024,256,4.76,11.66,19.68
+vit_small_resnet26d_224,2994.08,341.995,1024,224,5.07,11.12,63.61
+resnetv2_50t,2989.06,342.569,1024,224,4.32,11.82,25.57
+regnetx_032,2988.15,342.675,1024,224,3.2,11.37,15.3
+dpn68b,2981.13,343.481,1024,224,2.35,10.47,12.61
+hrnet_w18_small_v2,2978.67,343.765,1024,224,2.62,9.65,15.6
+dpn68,2975.29,344.155,1024,224,2.35,10.47,12.61
+resnetv2_50d,2971.15,344.633,1024,224,4.35,11.92,25.57
+efficientnet_em,2938.12,348.51,1024,240,3.04,14.34,6.9
+vit_base_patch32_plus_256,2934.64,348.925,1024,256,7.79,7.76,119.48
+coat_lite_mini,2921.75,350.462,1024,224,2.0,12.25,11.01
+tf_efficientnet_b2,2919.63,350.718,1024,260,1.02,13.83,9.11
+seresnet33ts,2919.51,350.732,1024,256,4.76,11.66,19.78
+eca_resnet33ts,2917.21,351.008,1024,256,4.76,11.66,19.68
+haloregnetz_b,2890.29,354.276,1024,224,1.97,11.94,11.68
+coatnet_pico_rw_224,2884.58,354.98,1024,224,2.05,14.62,10.85
+dla60,2883.99,355.049,1024,224,4.26,10.16,22.04
+gluon_resnet50_v1c,2872.58,356.463,1024,224,4.35,11.92,25.58
+resnet50t,2869.49,356.844,1024,224,4.32,11.82,25.57
+gcresnet33ts,2863.36,357.609,1024,256,4.76,11.68,19.88
+gluon_resnet50_v1d,2853.24,358.879,1024,224,4.35,11.92,25.58
+cspresnet50d,2852.98,358.911,1024,256,4.86,12.55,21.64
+resnet50d,2850.55,359.218,1024,224,4.35,11.92,25.58
+vovnet39a,2845.31,359.878,1024,224,7.09,6.73,22.6
+cspresnet50w,2835.31,361.148,1024,256,5.04,12.19,28.12
+vgg11,2827.53,362.143,1024,224,7.61,7.44,132.86
+tf_efficientnet_em,2826.28,362.303,1024,240,3.04,14.34,6.9
+visformer_small,2818.88,363.251,1024,224,4.88,11.43,40.22
+vit_relpos_small_patch16_224,2792.87,366.637,1024,224,4.59,13.05,21.98
+vit_relpos_base_patch32_plus_rpn_256,2784.26,367.771,1024,256,7.68,8.01,119.42
+vit_srelpos_small_patch16_224,2781.72,368.106,1024,224,4.59,12.16,21.97
+resnest26d,2772.97,369.267,1024,224,3.64,9.97,17.07
+cs3darknet_focus_l,2770.5,369.596,1024,288,5.9,10.16,21.15
+efficientnet_b2a,2767.64,369.979,1024,288,1.12,16.2,9.11
+efficientnet_b2,2766.98,370.065,1024,288,1.12,16.2,9.11
+ese_vovnet39b,2760.12,370.986,1024,224,7.09,6.74,24.57
+legacy_seresnet50,2753.49,371.881,1024,224,3.88,10.6,28.09
+densenet121,2749.79,372.378,1024,224,2.87,6.9,7.98
+tv_densenet121,2747.16,372.735,1024,224,2.87,6.9,7.98
+eca_vovnet39b,2736.53,374.185,1024,224,7.09,6.74,22.6
+coatnet_nano_cc_224,2716.19,376.986,1024,224,2.24,15.02,13.76
+convnextv2_femto,2710.95,377.714,1024,288,1.3,7.56,5.23
+resnetv2_50x1_bit_distilled,2704.93,378.554,1024,224,4.23,11.11,25.55
+selecsls84,2697.2,379.64,1024,224,5.9,7.57,50.95
+flexivit_small,2693.55,380.153,1024,240,5.35,14.18,22.06
+twins_svt_small,2691.25,380.48,1024,224,2.94,13.75,24.06
+mixnet_l,2678.25,382.327,1024,224,0.58,10.84,7.33
+seresnet50,2674.61,382.848,1024,224,4.11,11.13,28.09
+xcit_nano_12_p16_384_dist,2668.39,383.74,1024,384,1.64,12.15,3.05
+cs3darknet_l,2649.93,386.412,1024,288,6.16,10.83,21.16
+coatnet_nano_rw_224,2633.36,388.844,1024,224,2.41,15.41,15.14
+coatnext_nano_rw_224,2627.24,389.75,1024,224,2.47,12.8,14.7
+xcit_tiny_24_p16_224_dist,2617.14,391.253,1024,224,2.34,11.82,12.12
+densenet121d,2616.98,391.278,1024,224,3.11,7.7,8.0
+xcit_tiny_24_p16_224,2614.91,391.584,1024,224,2.34,11.82,12.12
+resnet50_gn,2599.07,393.975,1024,224,4.14,11.11,25.56
+vit_relpos_small_patch16_rpn_224,2596.73,394.33,1024,224,4.59,13.05,21.97
+res2net50_48w_2s,2593.21,394.865,1024,224,4.18,11.72,25.29
+mobilevit_s,2587.93,296.749,768,256,2.03,19.94,5.58
+convnext_nano,2579.36,396.983,1024,288,4.06,13.84,15.59
+tf_mixnet_l,2577.4,397.288,1024,224,0.58,10.84,7.33
+resnetaa50d,2573.35,397.912,1024,224,5.39,12.44,25.58
+vgg11_bn,2556.04,400.607,1024,224,7.62,7.44,132.87
+seresnet50t,2550.33,401.504,1024,224,4.32,11.83,28.1
+ecaresnet50d,2544.16,402.478,1024,224,4.35,11.93,25.58
+gcvit_xxtiny,2518.13,406.639,1024,224,2.14,15.36,12.0
+cs3sedarknet_l,2502.51,409.176,1024,288,6.16,10.83,21.91
+resnetrs50,2497.73,409.96,1024,224,4.48,12.14,35.69
+mobilevitv2_125,2489.87,308.438,768,256,2.86,20.1,7.48
+resnetblur50,2484.87,412.08,1024,224,5.16,12.02,25.56
+cspresnext50,2483.24,412.352,1024,256,4.05,15.86,20.57
+gluon_resnet50_v1s,2459.02,416.413,1024,224,5.47,13.52,25.68
+efficientnet_cc_b1_8e,2458.85,416.443,1024,240,0.75,15.44,39.72
+vit_base_resnet26d_224,2458.01,416.584,1024,224,6.97,13.16,101.4
+densenetblur121d,2444.58,418.873,1024,224,3.11,7.9,8.0
+tv_resnext50_32x4d,2431.41,421.143,1024,224,4.26,14.4,25.03
+ssl_resnext50_32x4d,2431.35,421.155,1024,224,4.26,14.4,25.03
+swsl_resnext50_32x4d,2430.87,421.236,1024,224,4.26,14.4,25.03
+resnext50_32x4d,2429.56,421.462,1024,224,4.26,14.4,25.03
+gluon_resnext50_32x4d,2428.35,421.674,1024,224,4.26,14.4,25.03
+dla60x,2414.82,424.035,1024,224,3.54,13.8,17.35
+efficientnet_lite3,2407.43,212.664,512,300,1.65,21.85,8.2
+regnetx_040,2406.98,425.416,1024,224,3.99,12.2,22.12
+semobilevit_s,2404.63,319.371,768,256,2.03,19.95,5.74
+gcresnext50ts,2402.57,426.196,1024,256,3.75,15.46,15.67
+regnety_040s_gn,2385.11,429.317,1024,224,4.03,12.29,20.65
+resnetblur50d,2367.52,432.507,1024,224,5.4,12.82,25.58
+vovnet57a,2360.79,433.737,1024,224,8.95,7.52,36.64
+tf_efficientnet_cc_b1_8e,2357.71,434.307,1024,240,0.75,15.44,39.72
+resmlp_24_distilled_224,2351.85,435.39,1024,224,5.96,10.91,30.02
+resmlp_24_224,2345.81,436.509,1024,224,5.96,10.91,30.02
+res2net50_14w_8s,2341.48,437.317,1024,224,4.21,13.28,25.06
+coatnet_rmlp_nano_rw_224,2340.53,437.494,1024,224,2.62,20.34,15.15
+sehalonet33ts,2339.44,328.271,768,256,3.55,14.7,13.69
+res2net50_26w_4s,2338.49,437.876,1024,224,4.28,12.61,25.7
+convnext_nano_ols,2328.37,439.779,1024,288,4.38,15.5,15.65
+lambda_resnet26rpt_256,2324.88,165.158,384,256,3.16,11.87,10.99
+gmixer_24_224,2324.82,440.451,1024,224,5.28,14.45,24.72
+gcresnet50t,2321.78,441.028,1024,256,5.42,14.67,25.9
+resnext50d_32x4d,2317.05,441.929,1024,224,4.5,15.2,25.05
+resnest50d_1s4x24d,2309.9,443.296,1024,224,4.43,13.57,25.68
+seresnetaa50d,2309.78,443.319,1024,224,5.4,12.46,28.11
+dla60_res2net,2301.91,444.834,1024,224,4.15,12.34,20.85
+vit_base_r26_s32_224,2301.77,444.864,1024,224,6.81,12.36,101.38
+twins_pcpvt_small,2290.09,447.132,1024,224,3.83,18.08,24.11
+regnetz_b16,2286.62,447.81,1024,288,2.39,16.43,9.72
+ese_vovnet57b,2267.23,451.64,1024,224,8.95,7.52,38.61
+gluon_inception_v3,2265.31,452.024,1024,299,5.73,8.97,23.83
+inception_v3,2260.97,452.888,1024,299,5.73,8.97,23.83
+adv_inception_v3,2258.89,453.305,1024,299,5.73,8.97,23.83
+tf_inception_v3,2255.73,453.943,1024,299,5.73,8.97,23.83
+densenet169,2232.91,458.582,1024,224,3.4,7.3,14.15
+tf_efficientnetv2_b3,2223.64,460.493,1024,300,3.04,15.74,14.36
+nf_ecaresnet50,2211.52,463.019,1024,224,4.21,11.13,25.56
+nf_seresnet50,2207.21,463.921,1024,224,4.21,11.13,28.09
+skresnet50,2206.75,464.017,1024,224,4.11,12.5,25.8
+edgenext_small,2206.31,464.109,1024,320,1.97,14.16,5.59
+seresnext50_32x4d,2197.09,466.058,1024,224,4.26,14.42,27.56
+gluon_seresnext50_32x4d,2196.94,466.091,1024,224,4.26,14.42,27.56
+xcit_small_12_p16_224_dist,2195.81,466.33,1024,224,4.82,12.58,26.25
+legacy_seresnext50_32x4d,2193.34,466.856,1024,224,4.26,14.42,27.56
+xcit_small_12_p16_224,2190.16,467.534,1024,224,4.82,12.58,26.25
+repvgg_b1g4,2188.83,467.817,1024,224,8.15,10.64,39.97
+tf_efficientnet_lite3,2188.37,233.953,512,300,1.65,21.85,8.2
+efficientnetv2_rw_t,2170.03,471.87,1024,288,3.19,16.42,13.65
+gmlp_s16_224,2164.56,473.061,1024,224,4.42,15.1,19.42
+dla60_res2next,2126.26,481.583,1024,224,3.49,13.17,17.03
+gc_efficientnetv2_rw_t,2126.09,481.621,1024,288,3.2,16.45,13.68
+skresnet50d,2112.57,484.703,1024,224,4.36,13.31,25.82
+mobilevitv2_150,2105.0,243.219,512,256,4.09,24.11,10.59
+mobilevitv2_150_in22ft1k,2104.51,243.274,512,256,4.09,24.11,10.59
+convnextv2_pico,2092.16,489.434,1024,288,2.27,10.08,9.07
+poolformer_s24,2090.38,489.851,1024,224,3.41,10.68,21.39
+cs3sedarknet_xdw,2090.04,489.929,1024,256,5.97,17.18,21.6
+res2next50,2085.23,491.055,1024,224,4.2,13.71,24.67
+cspdarknet53,2084.51,491.231,1024,256,6.57,16.81,27.64
+fbnetv3_g,2084.48,491.238,1024,288,1.77,21.09,16.62
+crossvit_small_240,2074.04,493.709,1024,240,5.63,18.17,26.86
+deit3_medium_patch16_224_in21ft1k,2064.27,496.046,1024,224,8.0,15.93,38.85
+deit3_medium_patch16_224,2063.34,496.268,1024,224,8.0,15.93,38.85
+xcit_nano_12_p8_224_dist,2049.01,499.742,1024,224,2.16,15.71,3.05
+xcit_nano_12_p8_224,2044.48,500.848,1024,224,2.16,15.71,3.05
+nf_regnet_b3,2035.39,503.085,1024,320,2.05,14.61,18.59
+cs3darknet_focus_x,2017.73,507.488,1024,256,8.03,10.69,35.02
+vit_relpos_medium_patch16_cls_224,2000.38,511.89,1024,224,8.03,18.24,38.76
+lambda_resnet50ts,1991.21,514.246,1024,256,5.07,17.48,21.54
+swin_tiny_patch4_window7_224,1978.72,517.495,1024,224,4.51,17.06,28.29
+sebotnet33ts_256,1959.75,195.932,384,256,3.89,17.46,13.7
+coatnet_0_rw_224,1957.32,523.148,1024,224,4.43,18.73,27.44
+ecaresnet26t,1953.32,524.224,1024,320,5.24,16.44,16.01
+regnetx_080,1942.5,527.144,1024,224,8.02,14.06,39.57
+gcvit_xtiny,1941.57,527.393,1024,224,2.93,20.26,19.98
+resnetv2_101,1925.46,531.806,1024,224,7.83,16.23,44.54
+regnetx_064,1920.06,533.303,1024,224,6.49,16.37,26.21
+mixnet_xl,1918.85,533.64,1024,224,0.93,14.57,11.9
+edgenext_small_rw,1912.9,535.3,1024,320,2.46,14.85,7.83
+vit_relpos_medium_patch16_224,1907.96,536.687,1024,224,7.97,17.02,38.75
+vit_srelpos_medium_patch16_224,1900.57,538.773,1024,224,7.96,16.21,38.74
+resnest50d,1896.74,539.858,1024,224,5.4,14.36,27.48
+crossvit_15_240,1894.86,540.397,1024,240,5.81,19.77,27.53
+vit_base_resnet50d_224,1892.78,540.989,1024,224,8.73,16.92,110.97
+gluon_resnet101_v1b,1879.26,544.883,1024,224,7.83,16.23,44.55
+tv_resnet101,1878.26,545.172,1024,224,7.83,16.23,44.55
+resnet101,1875.25,546.047,1024,224,7.83,16.23,44.55
+dla102,1873.79,546.472,1024,224,7.19,14.18,33.27
+efficientformer_l3,1868.08,548.142,1024,224,3.93,12.01,31.41
+maxvit_rmlp_pico_rw_256,1866.73,411.402,768,256,1.85,24.86,7.52
+resnetv2_101d,1855.94,551.727,1024,224,8.07,17.04,44.56
+pvt_v2_b2,1835.92,557.745,1024,224,4.05,27.53,25.36
+maxvit_pico_rw_256,1829.44,419.787,768,256,1.83,22.3,7.46
+vgg13,1820.36,562.512,1024,224,11.31,12.25,133.05
+lamhalobotnet50ts_256,1818.57,563.067,1024,256,5.02,18.44,22.57
+crossvit_15_dagger_240,1817.96,563.255,1024,240,6.13,20.43,28.21
+gluon_resnet101_v1c,1816.14,563.82,1024,224,8.08,17.04,44.57
+res2net50_26w_6s,1811.81,565.168,1024,224,6.33,15.28,37.05
+gluon_resnet101_v1d,1808.21,566.295,1024,224,8.08,17.04,44.57
+swin_s3_tiny_224,1803.67,567.72,1024,224,4.64,19.13,28.33
+coatnet_rmlp_0_rw_224,1803.63,567.733,1024,224,4.72,24.89,27.45
+vit_relpos_medium_patch16_rpn_224,1770.72,578.284,1024,224,7.97,17.02,38.73
+halonet50ts,1765.73,579.917,1024,256,5.3,19.2,22.73
+repvgg_b1,1760.92,581.5,1024,224,13.16,10.64,57.42
+coatnet_bn_0_rw_224,1753.99,583.799,1024,224,4.67,22.04,27.44
+wide_resnet50_2,1747.87,585.844,1024,224,11.43,14.4,68.88
+efficientnet_b3,1741.21,294.036,512,320,2.01,26.52,12.23
+efficientnet_b3a,1740.84,294.1,512,320,2.01,26.52,12.23
+densenet201,1738.22,589.096,1024,224,4.34,7.85,20.01
+coatnet_0_224,1727.45,296.376,512,224,4.58,24.01,25.04
+darknetaa53,1721.33,594.876,1024,288,10.08,15.68,36.02
+tf_efficientnet_b3,1720.61,297.558,512,300,1.87,23.83,12.23
+cait_xxs24_224,1720.1,595.301,1024,224,2.53,20.29,11.96
+vit_large_patch32_224,1718.53,595.845,1024,224,15.41,13.32,327.9
+mobilevitv2_175,1697.71,301.572,512,256,5.54,28.13,14.25
+mobilevitv2_175_in22ft1k,1697.51,301.606,512,256,5.54,28.13,14.25
+xcit_tiny_12_p16_384_dist,1694.92,604.145,1024,384,3.64,18.26,6.72
+pvt_v2_b2_li,1694.45,604.311,1024,224,3.91,27.6,22.55
+coat_lite_small,1694.41,604.328,1024,224,3.96,22.09,19.84
+resnetaa101d,1692.59,604.976,1024,224,9.12,17.56,44.57
+legacy_seresnet101,1686.93,607.005,1024,224,7.61,15.74,49.33
+tresnet_v2_l,1685.52,607.515,1024,224,8.81,16.34,46.17
+hrnet_w18,1679.12,609.832,1024,224,4.32,16.31,21.3
+vit_medium_patch16_gap_240,1667.0,614.264,1024,240,9.22,18.81,44.4
+vit_tiny_patch16_384,1660.88,616.528,1024,384,4.7,25.39,5.79
+regnetv_040,1659.81,616.926,1024,288,6.6,20.3,20.64
+convnext_tiny_hnf,1659.73,616.951,1024,288,7.39,22.21,28.59
+seresnet101,1655.13,618.666,1024,224,7.84,16.27,49.33
+vit_base_patch32_384,1651.29,620.109,1024,384,13.06,16.5,88.3
+vit_base_patch32_clip_384,1649.72,620.7,1024,384,13.06,16.5,88.3
+regnety_040,1647.66,621.47,1024,288,6.61,20.3,20.65
+regnety_032,1645.25,622.383,1024,288,5.29,18.61,19.44
+gluon_resnet101_v1s,1642.29,623.505,1024,224,9.19,18.64,44.67
+vgg13_bn,1634.19,626.596,1024,224,11.33,12.25,133.05
+resnetaa50,1631.05,627.803,1024,288,8.52,19.24,25.56
+mixer_b16_224_miil,1628.71,628.706,1024,224,12.62,14.53,59.88
+mixer_b16_224,1627.79,629.061,1024,224,12.62,14.53,59.88
+convnext_tiny,1626.95,629.384,1024,288,7.39,22.21,28.59
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+swinv2_cr_tiny_224,1618.15,632.807,1024,224,4.66,28.45,28.33
+ecaresnet101d,1609.33,636.276,1024,224,8.08,17.07,44.57
+twins_pcpvt_base,1605.41,637.831,1024,224,6.68,25.25,43.83
+dla102x,1601.78,639.274,1024,224,5.89,19.42,26.31
+ese_vovnet39b_evos,1601.47,639.4,1024,224,7.07,6.74,24.58
+darknet53,1597.03,641.177,1024,288,11.78,15.68,41.61
+resnetblur101d,1596.24,641.494,1024,224,9.12,17.94,44.57
+resnet51q,1592.08,643.172,1024,288,8.07,20.94,35.7
+swinv2_cr_tiny_ns_224,1591.39,643.448,1024,224,4.66,28.45,28.33
+mixer_l32_224,1583.03,646.85,1024,224,11.27,19.86,206.94
+resmlp_36_distilled_224,1577.86,648.967,1024,224,8.91,16.33,44.69
+resmlp_36_224,1577.4,649.158,1024,224,8.91,16.33,44.69
+resnetv2_50d_gn,1561.87,655.61,1024,288,7.24,19.7,25.57
+botnet50ts_256,1556.81,246.643,384,256,5.54,22.23,22.74
+nf_resnet50,1548.83,661.132,1024,288,6.88,18.37,25.56
+resnetv2_50d_frn,1547.35,661.764,1024,224,4.33,11.92,25.59
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+mvitv2_tiny,1534.63,667.247,1024,224,4.7,21.16,24.17
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+mobilevitv2_200,1478.44,519.454,768,256,7.22,32.15,18.45
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+res2net50_26w_8s,1466.52,698.239,1024,224,8.37,17.95,48.4
+sequencer2d_s,1465.84,698.562,1024,224,4.96,11.31,27.65
+eca_nfnet_l0,1461.61,700.586,1024,288,7.12,17.29,24.14
+nfnet_l0,1460.27,701.228,1024,288,7.13,17.29,35.07
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+resnet61q,1434.01,714.068,1024,288,9.87,21.52,36.85
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+xception,1353.17,567.542,768,299,8.4,35.83,22.86
+twins_svt_base,1350.54,758.199,1024,224,8.59,26.33,56.07
+crossvit_18_240,1343.82,761.996,1024,240,9.05,26.26,43.27
+ese_vovnet99b_iabn,1343.72,762.049,1024,224,16.49,11.27,63.2
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+dpn92,1330.6,769.562,1024,224,6.54,18.21,37.67
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+cs3edgenet_x,1281.15,799.266,1024,288,14.59,16.36,47.82
+edgenext_base,1272.74,804.548,1024,320,6.01,24.32,18.51
+regnety_120,1268.38,807.318,1024,224,12.14,21.38,51.82
+dla169,1258.34,813.753,1024,224,11.6,20.2,53.39
+hrnet_w30,1252.2,817.74,1024,224,8.15,21.21,37.71
+xception41p,1249.06,409.896,512,299,9.25,39.86,26.91
+maxxvitv2_nano_rw_256,1248.81,819.967,1024,256,6.26,23.05,23.7
+ecaresnet50t,1243.91,823.198,1024,320,8.82,24.13,25.57
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+densenet161,1220.41,839.05,1024,224,7.79,11.06,28.68
+efficientnet_el,1218.76,840.187,1024,300,8.0,30.7,10.59
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+maxvit_tiny_rw_224,1200.3,853.107,1024,224,5.11,33.11,29.06
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+swinv2_tiny_window8_256,1191.01,859.761,1024,256,5.96,24.57,28.35
+volo_d1_224,1190.57,860.079,1024,224,6.94,24.43,26.63
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+xcit_small_24_p16_224_dist,1175.31,871.245,1024,224,9.1,23.64,47.67
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+inception_v4,1168.76,876.127,1024,299,12.28,15.09,42.68
+seresnet152,1166.02,878.19,1024,224,11.57,22.61,66.82
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+deit3_base_patch16_224,1159.4,883.201,1024,224,17.58,23.9,86.59
+deit3_base_patch16_224_in21ft1k,1159.14,883.404,1024,224,17.58,23.9,86.59
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+regnetx_160,1153.07,888.048,1024,224,15.99,25.52,54.28
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+tnt_s_patch16_224,1135.12,902.091,1024,224,5.24,24.37,23.76
+convmixer_1024_20_ks9_p14,1130.85,905.497,1024,224,5.55,5.51,24.38
+vgg19_bn,1127.16,908.464,1024,224,19.66,14.86,143.68
+vit_relpos_base_patch16_clsgap_224,1124.58,910.547,1024,224,17.6,25.12,86.43
+vit_relpos_base_patch16_cls_224,1122.76,912.026,1024,224,17.6,25.12,86.43
+coatnet_rmlp_1_rw2_224,1119.61,914.591,1024,224,8.11,40.13,41.72
+beit_base_patch16_224,1109.32,923.073,1024,224,17.58,23.9,86.53
+xception41,1107.6,462.251,512,299,9.28,39.86,26.97
+tresnet_xl,1106.51,925.423,1024,224,15.17,15.34,78.44
+beitv2_base_patch16_224,1106.05,925.798,1024,224,17.58,23.9,86.53
+coat_tiny,1099.16,931.604,1024,224,4.35,27.2,5.5
+vit_base_patch16_gap_224,1085.51,943.323,1024,224,17.49,25.59,86.57
+maxvit_tiny_tf_224,1081.57,710.062,768,224,5.6,35.78,30.92
+vit_relpos_base_patch16_224,1078.21,949.713,1024,224,17.51,24.97,86.43
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+coatnet_1_rw_224,1074.48,953.005,1024,224,8.04,34.6,41.72
+dla102x2,1070.83,956.252,1024,224,9.34,29.91,41.28
+pit_b_224,1066.8,479.928,512,224,12.42,32.94,73.76
+pit_b_distilled_224,1063.31,481.504,512,224,12.5,33.07,74.79
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+vit_small_patch16_36x1_224,1032.1,992.142,1024,224,13.71,35.69,64.67
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+flexivit_base,1028.55,995.558,1024,240,20.29,28.36,86.59
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+swinv2_cr_small_ns_224,989.25,1035.114,1024,224,9.08,50.27,49.7
+vit_relpos_base_patch16_rpn_224,986.84,1037.641,1024,224,17.51,24.97,86.41
+coatnet_1_224,984.69,519.944,512,224,8.7,39.0,42.23
+resnet200,983.36,1041.314,1024,224,15.07,32.19,64.67
+dpn98,982.09,1042.657,1024,224,11.73,25.2,61.57
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+regnety_080,969.67,1056.01,1024,288,13.22,29.69,39.18
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+efficientformer_l7,877.43,1167.027,1024,224,10.17,24.45,82.23
+coat_mini,874.29,1171.227,1024,224,6.82,33.68,10.34
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+swin_base_patch4_window7_224,870.1,1176.867,1024,224,15.47,36.63,87.77
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+eva_giant_patch14_560,10.36,4631.037,48,560,1906.76,2577.17,1014.45

results/benchmark-infer-amp-nhwc-pt113-cu117-rtx3090.csv

@@ -0,0 +1,930 @@
+model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
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+convnext_pico,3747.49,273.239,1024,288,2.27,10.08,9.05
+ecaresnetlight,3744.45,273.459,1024,224,4.11,8.42,30.16
+dpn68,3724.59,274.917,1024,224,2.35,10.47,12.61
+edgenext_x_small,3714.71,275.646,1024,288,0.68,7.5,2.34
+gluon_resnet50_v1b,3672.76,278.798,1024,224,4.11,11.11,25.56
+ssl_resnet50,3671.85,278.866,1024,224,4.11,11.11,25.56
+efficientnet_em,3671.25,278.913,1024,240,3.04,14.34,6.9
+resnet50,3668.58,279.116,1024,224,4.11,11.11,25.56
+swsl_resnet50,3668.32,279.136,1024,224,4.11,11.11,25.56
+tv_resnet50,3667.14,279.225,1024,224,4.11,11.11,25.56
+dpn68b,3667.07,279.229,1024,224,2.35,10.47,12.61
+rexnetr_200,3659.45,279.811,1024,224,1.59,15.11,16.52
+convnext_pico_ols,3651.34,280.434,1024,288,2.37,10.74,9.06
+botnet26t_256,3594.28,284.883,1024,256,3.32,11.98,12.49
+bat_resnext26ts,3569.91,286.828,1024,256,2.53,12.51,10.73
+resnetv2_50t,3547.32,288.657,1024,224,4.32,11.82,25.57
+mixnet_m,3537.26,289.477,1024,224,0.36,8.19,5.01
+regnety_016,3531.88,289.919,1024,224,1.63,8.04,11.2
+tf_efficientnet_em,3529.62,290.106,1024,240,3.04,14.34,6.9
+resnetv2_50d,3525.02,290.482,1024,224,4.35,11.92,25.57
+halonet26t,3515.15,291.299,1024,256,3.19,11.69,12.48
+resnet32ts,3492.62,293.179,1024,256,4.63,11.58,17.96
+hrnet_w18_small_v2,3482.81,294.001,1024,224,2.62,9.65,15.6
+gluon_resnet50_v1c,3481.59,294.107,1024,224,4.35,11.92,25.58
+dla60,3466.91,295.351,1024,224,4.26,10.16,22.04
+resnet33ts,3460.78,295.875,1024,256,4.76,11.66,19.68
+tf_efficientnet_b2,3402.3,300.962,1024,260,1.02,13.83,9.11
+convit_tiny,3399.61,301.199,1024,224,1.26,7.94,5.71
+resnet50t,3373.72,303.51,1024,224,4.32,11.82,25.57
+tf_mixnet_m,3366.38,304.167,1024,224,0.36,8.19,5.01
+efficientnet_b3_pruned,3360.1,304.74,1024,300,1.04,11.86,9.86
+seresnet33ts,3354.27,305.27,1024,256,4.76,11.66,19.78
+resnet50d,3351.47,305.527,1024,224,4.35,11.92,25.58
+eca_resnet33ts,3350.95,305.574,1024,256,4.76,11.66,19.68
+vit_small_resnet26d_224,3346.77,305.954,1024,224,5.07,11.12,63.61
+cs3darknet_focus_l,3335.18,307.018,1024,288,5.9,10.16,21.15
+gluon_resnet50_v1d,3334.65,307.068,1024,224,4.35,11.92,25.58
+mobilevitv2_100,3324.63,307.994,1024,256,1.84,16.08,4.9
+vovnet39a,3320.12,308.408,1024,224,7.09,6.73,22.6
+legacy_seresnet50,3312.33,309.135,1024,224,3.88,10.6,28.09
+efficientnet_b0_gn,3307.86,309.554,1024,224,0.42,6.75,5.29
+gcresnet33ts,3307.01,309.633,1024,256,4.76,11.68,19.88
+pit_s_distilled_224,3301.25,310.173,1024,224,2.9,11.64,24.04
+pit_s_224,3299.97,310.295,1024,224,2.88,11.56,23.46
+mobilevit_xs,3252.28,314.844,1024,256,1.05,16.33,2.32
+deit_small_distilled_patch16_224,3233.6,316.663,1024,224,4.63,12.02,22.44
+efficientnet_b2a,3223.97,317.608,1024,288,1.12,16.2,9.11
+efficientnet_b2,3223.9,317.615,1024,288,1.12,16.2,9.11
+deit_small_patch16_224,3218.99,318.1,1024,224,4.61,11.95,22.05
+vit_small_patch16_224,3218.38,318.16,1024,224,4.61,11.95,22.05
+cs3darknet_l,3210.26,318.965,1024,288,6.16,10.83,21.16
+ese_vovnet39b,3206.21,319.369,1024,224,7.09,6.74,24.57
+eca_vovnet39b,3203.77,319.612,1024,224,7.09,6.74,22.6
+convnextv2_atto,3196.73,320.315,1024,288,0.91,6.3,3.71
+coatnet_pico_rw_224,3189.82,321.008,1024,224,2.05,14.62,10.85
+seresnet50,3181.57,321.841,1024,224,4.11,11.13,28.09
+pvt_v2_b1,3147.37,325.339,1024,224,2.12,15.39,14.01
+coat_lite_tiny,3146.41,325.439,1024,224,1.6,11.65,5.72
+res2net50_48w_2s,3127.52,327.404,1024,224,4.18,11.72,25.29
+eca_botnext26ts_256,3112.32,329.003,1024,256,2.46,11.6,10.59
+ecaresnet101d_pruned,3103.16,329.973,1024,224,3.48,7.69,24.88
+efficientnet_b0_g8_gn,3073.2,333.192,1024,224,0.66,6.75,6.56
+ssl_resnext50_32x4d,3071.68,333.356,1024,224,4.26,14.4,25.03
+dla60x,3071.64,333.359,1024,224,3.54,13.8,17.35
+swsl_resnext50_32x4d,3070.7,333.464,1024,224,4.26,14.4,25.03
+tv_resnext50_32x4d,3069.81,333.56,1024,224,4.26,14.4,25.03
+resnext50_32x4d,3069.72,333.57,1024,224,4.26,14.4,25.03
+gluon_resnext50_32x4d,3068.47,333.704,1024,224,4.26,14.4,25.03
+vit_small_r26_s32_224,3061.92,334.417,1024,224,3.56,9.85,36.43
+skresnet34,3055.95,335.073,1024,224,3.67,5.13,22.28
+deit3_small_patch16_224_in21ft1k,3048.82,335.855,1024,224,4.61,11.95,22.06
+deit3_small_patch16_224,3047.23,336.031,1024,224,4.61,11.95,22.06
+eca_halonext26ts,3035.71,337.305,1024,256,2.44,11.46,10.76
+haloregnetz_b,3032.47,337.665,1024,224,1.97,11.94,11.68
+vit_relpos_base_patch32_plus_rpn_256,3026.45,338.338,1024,256,7.68,8.01,119.42
+vit_relpos_small_patch16_rpn_224,3019.95,339.067,1024,224,4.59,13.05,21.97
+vit_relpos_small_patch16_224,3008.26,340.383,1024,224,4.59,13.05,21.98
+vit_srelpos_small_patch16_224,3000.96,341.213,1024,224,4.59,12.16,21.97
+xcit_nano_12_p16_384_dist,3000.48,341.266,1024,384,1.64,12.15,3.05
+cs3sedarknet_l,2995.41,341.845,1024,288,6.16,10.83,21.91
+resnetaa50d,2993.03,342.116,1024,224,5.39,12.44,25.58
+vgg11,2983.47,85.796,256,224,7.61,7.44,132.86
+selecsls84,2973.16,344.402,1024,224,5.9,7.57,50.95
+resnetrs50,2963.42,345.535,1024,224,4.48,12.14,35.69
+seresnet50t,2957.12,346.271,1024,224,4.32,11.83,28.1
+resnest14d,2954.69,346.556,1024,224,2.76,7.33,10.61
+gluon_resnet50_v1s,2953.65,346.677,1024,224,5.47,13.52,25.68
+coat_lite_mini,2952.61,346.799,1024,224,2.0,12.25,11.01
+ecaresnet50d,2945.96,347.583,1024,224,4.35,11.93,25.58
+densenet121,2933.45,349.064,1024,224,2.87,6.9,7.98
+tv_densenet121,2929.69,349.514,1024,224,2.87,6.9,7.98
+vit_base_patch32_plus_256,2929.65,349.519,1024,256,7.79,7.76,119.48
+rexnet_200,2927.94,349.723,1024,224,1.56,14.91,16.37
+xcit_tiny_24_p16_224_dist,2927.0,349.834,1024,224,2.34,11.82,12.12
+xcit_tiny_24_p16_224,2921.97,350.436,1024,224,2.34,11.82,12.12
+coatnet_nano_cc_224,2867.38,357.108,1024,224,2.24,15.02,13.76
+gcresnext50ts,2857.34,358.363,1024,256,3.75,15.46,15.67
+lambda_resnet26rpt_256,2853.55,358.839,1024,256,3.16,11.87,10.99
+resnext50d_32x4d,2845.08,359.908,1024,224,4.5,15.2,25.05
+mixnet_l,2828.6,361.996,1024,224,0.58,10.84,7.33
+densenet121d,2824.08,362.584,1024,224,3.11,7.7,8.0
+efficientnet_lite3,2821.84,362.87,1024,300,1.65,21.85,8.2
+cspresnet50,2793.65,366.534,1024,256,4.54,11.5,21.62
+coatnet_nano_rw_224,2781.93,368.077,1024,224,2.41,15.41,15.14
+vgg11_bn,2760.38,370.949,1024,224,7.62,7.44,132.87
+vovnet57a,2755.77,371.572,1024,224,8.95,7.52,36.64
+resmlp_24_224,2750.33,372.306,1024,224,5.96,10.91,30.02
+resmlp_24_distilled_224,2740.33,373.665,1024,224,5.96,10.91,30.02
+convnextv2_femto,2735.91,374.269,1024,288,1.3,7.56,5.23
+flexivit_small,2735.78,374.287,1024,240,5.35,14.18,22.06
+gcresnet50t,2732.04,374.8,1024,256,5.42,14.67,25.9
+legacy_seresnext50_32x4d,2722.84,376.065,1024,224,4.26,14.42,27.56
+seresnext50_32x4d,2721.47,376.256,1024,224,4.26,14.42,27.56
+gluon_seresnext50_32x4d,2720.58,376.379,1024,224,4.26,14.42,27.56
+visformer_small,2719.93,376.468,1024,224,4.88,11.43,40.22
+twins_svt_small,2713.39,377.374,1024,224,2.94,13.75,24.06
+resnetv2_50x1_bit_distilled,2708.81,378.014,1024,224,4.23,11.11,25.55
+res2net50_14w_8s,2692.9,380.248,1024,224,4.21,13.28,25.06
+resnetblur50,2685.97,381.228,1024,224,5.16,12.02,25.56
+vit_base_resnet26d_224,2684.6,381.421,1024,224,6.97,13.16,101.4
+tf_mixnet_l,2680.8,381.958,1024,224,0.58,10.84,7.33
+seresnetaa50d,2658.93,385.106,1024,224,5.4,12.46,28.11
+dla60_res2net,2656.16,385.506,1024,224,4.15,12.34,20.85
+cspresnet50d,2655.05,385.668,1024,256,4.86,12.55,21.64
+coatnext_nano_rw_224,2655.0,385.674,1024,224,2.47,12.8,14.7
+ese_vovnet57b,2654.33,385.773,1024,224,8.95,7.52,38.61
+tf_efficientnetv2_b3,2654.14,385.8,1024,300,3.04,15.74,14.36
+cspresnet50w,2641.68,387.621,1024,256,5.04,12.19,28.12
+res2net50_26w_4s,2629.64,389.395,1024,224,4.28,12.61,25.7
+regnetz_b16,2626.71,389.828,1024,288,2.39,16.43,9.72
+convnext_nano,2611.78,392.059,1024,288,4.06,13.84,15.59
+efficientnetv2_rw_t,2601.49,393.609,1024,288,3.19,16.42,13.65
+fbnetv3_g,2595.29,394.549,1024,288,1.77,21.09,16.62
+gmixer_24_224,2595.15,394.571,1024,224,5.28,14.45,24.72
+mobilevit_s,2586.09,395.952,1024,256,2.03,19.94,5.58
+coatnet_rmlp_nano_rw_224,2569.7,398.478,1024,224,2.62,20.34,15.15
+gcvit_xxtiny,2561.41,399.768,1024,224,2.14,15.36,12.0
+tf_efficientnet_lite3,2530.94,404.582,1024,300,1.65,21.85,8.2
+efficientnet_cc_b1_8e,2530.65,404.628,1024,240,0.75,15.44,39.72
+densenetblur121d,2522.66,405.908,1024,224,3.11,7.9,8.0
+resnetblur50d,2509.45,408.045,1024,224,5.4,12.82,25.58
+nf_ecaresnet50,2490.39,411.168,1024,224,4.21,11.13,25.56
+inception_v3,2485.21,412.025,1024,299,5.73,8.97,23.83
+nf_seresnet50,2482.66,412.449,1024,224,4.21,11.13,28.09
+tf_inception_v3,2481.38,412.658,1024,299,5.73,8.97,23.83
+gc_efficientnetv2_rw_t,2480.59,412.793,1024,288,3.2,16.45,13.68
+adv_inception_v3,2479.41,412.983,1024,299,5.73,8.97,23.83
+repvgg_b1g4,2473.34,414.003,1024,224,8.15,10.64,39.97
+mobilevitv2_125,2472.28,414.18,1024,256,2.86,20.1,7.48
+gluon_inception_v3,2468.42,414.827,1024,299,5.73,8.97,23.83
+nf_regnet_b3,2461.52,415.991,1024,320,2.05,14.61,18.59
+xcit_small_12_p16_224_dist,2446.89,418.478,1024,224,4.82,12.58,26.25
+xcit_small_12_p16_224,2446.42,418.558,1024,224,4.82,12.58,26.25
+cspresnext50,2438.96,419.836,1024,256,4.05,15.86,20.57
+convnext_nano_ols,2435.0,420.521,1024,288,4.38,15.5,15.65
+regnetx_032,2429.42,421.489,1024,224,3.2,11.37,15.3
+densenet169,2426.29,422.031,1024,224,3.4,7.3,14.15
+sehalonet33ts,2419.4,423.234,1024,256,3.55,14.7,13.69
+tf_efficientnet_cc_b1_8e,2406.19,425.557,1024,240,0.75,15.44,39.72
+semobilevit_s,2402.02,426.294,1024,256,2.03,19.95,5.74
+resnetv2_101,2330.6,439.36,1024,224,7.83,16.23,44.54
+twins_pcpvt_small,2312.72,442.754,1024,224,3.83,18.08,24.11
+xcit_nano_12_p8_224_dist,2295.5,446.077,1024,224,2.16,15.71,3.05
+xcit_nano_12_p8_224,2292.87,446.587,1024,224,2.16,15.71,3.05
+gmlp_s16_224,2290.73,447.007,1024,224,4.42,15.1,19.42
+cs3darknet_focus_x,2287.2,447.697,1024,256,8.03,10.69,35.02
+vit_base_r26_s32_224,2275.25,450.047,1024,224,6.81,12.36,101.38
+gluon_resnet101_v1b,2260.37,453.01,1024,224,7.83,16.23,44.55
+tv_resnet101,2258.59,453.368,1024,224,7.83,16.23,44.55
+resnet101,2258.28,453.43,1024,224,7.83,16.23,44.55
+skresnet50,2234.62,458.23,1024,224,4.11,12.5,25.8
+ecaresnet26t,2232.29,458.709,1024,320,5.24,16.44,16.01
+edgenext_small,2226.69,459.86,1024,320,1.97,14.16,5.59
+dla102,2219.96,461.255,1024,224,7.19,14.18,33.27
+res2next50,2214.71,462.347,1024,224,4.2,13.71,24.67
+dla60_res2next,2210.67,463.194,1024,224,3.49,13.17,17.03
+resnetv2_101d,2203.82,464.633,1024,224,8.07,17.04,44.56
+gluon_resnet101_v1c,2194.65,466.578,1024,224,8.08,17.04,44.57
+resnest26d,2170.04,471.869,1024,224,3.64,9.97,17.07
+vgg13,2149.71,476.331,1024,224,11.31,12.25,133.05
+gluon_resnet101_v1d,2137.49,479.053,1024,224,8.08,17.04,44.57
+skresnet50d,2115.22,484.098,1024,224,4.36,13.31,25.82
+convnextv2_pico,2108.5,485.64,1024,288,2.27,10.08,9.07
+vit_base_resnet50d_224,2101.17,487.333,1024,224,8.73,16.92,110.97
+coatnet_0_rw_224,2082.49,491.706,1024,224,4.43,18.73,27.44
+crossvit_small_240,2081.5,491.94,1024,240,5.63,18.17,26.86
+deit3_medium_patch16_224_in21ft1k,2076.53,493.118,1024,224,8.0,15.93,38.85
+deit3_medium_patch16_224,2072.34,494.116,1024,224,8.0,15.93,38.85
+mobilevitv2_150,2071.36,494.349,1024,256,4.09,24.11,10.59
+mobilevitv2_150_in22ft1k,2070.3,494.603,1024,256,4.09,24.11,10.59
+sebotnet33ts_256,2067.91,247.581,512,256,3.89,17.46,13.7
+wide_resnet50_2,2057.08,497.78,1024,224,11.43,14.4,68.88
+vit_relpos_medium_patch16_rpn_224,2044.85,500.757,1024,224,7.97,17.02,38.73
+efficientformer_l3,2041.79,501.507,1024,224,3.93,12.01,31.41
+poolformer_s24,2040.35,501.863,1024,224,3.41,10.68,21.39
+vit_relpos_medium_patch16_224,2037.47,502.572,1024,224,7.97,17.02,38.75
+cspdarknet53,2035.94,502.949,1024,256,6.57,16.81,27.64
+resnet51q,2034.41,503.329,1024,288,8.07,20.94,35.7
+vit_srelpos_medium_patch16_224,2033.15,503.638,1024,224,7.96,16.21,38.74
+maxvit_rmlp_pico_rw_256,2008.78,509.748,1024,256,1.85,24.86,7.52
+vit_relpos_medium_patch16_cls_224,2007.24,510.141,1024,224,8.03,18.24,38.76
+dla102x,2006.55,510.315,1024,224,5.89,19.42,26.31
+legacy_seresnet101,2003.12,511.188,1024,224,7.61,15.74,49.33
+swin_tiny_patch4_window7_224,1995.14,513.235,1024,224,4.51,17.06,28.29
+repvgg_b1,1985.42,515.747,1024,224,13.16,10.64,57.42
+resnetaa101d,1982.98,516.381,1024,224,9.12,17.56,44.57
+coatnet_rmlp_0_rw_224,1981.75,516.703,1024,224,4.72,24.89,27.45
+tf_efficientnet_b3,1975.92,518.226,1024,300,1.87,23.83,12.23
+gcvit_xtiny,1969.68,519.869,1024,224,2.93,20.26,19.98
+hrnet_w18,1967.17,520.531,1024,224,4.32,16.31,21.3
+gluon_resnet101_v1s,1965.68,520.926,1024,224,9.19,18.64,44.67
+maxvit_pico_rw_256,1965.38,521.006,1024,256,1.83,22.3,7.46
+resnetaa50,1958.15,522.93,1024,288,8.52,19.24,25.56
+seresnet101,1954.63,523.871,1024,224,7.84,16.27,49.33
+efficientnet_b3,1949.54,525.239,1024,320,2.01,26.52,12.23
+efficientnet_b3a,1949.11,525.356,1024,320,2.01,26.52,12.23
+edgenext_small_rw,1932.68,529.816,1024,320,2.46,14.85,7.83
+regnetx_040,1932.62,529.839,1024,224,3.99,12.2,22.12
+cs3sedarknet_xdw,1925.4,531.825,1024,256,5.97,17.18,21.6
+coatnet_bn_0_rw_224,1920.71,533.123,1024,224,4.67,22.04,27.44
+xcit_tiny_12_p16_384_dist,1911.65,535.652,1024,384,3.64,18.26,6.72
+ssl_resnext101_32x4d,1910.73,535.909,1024,224,8.01,21.23,44.18
+swsl_resnext101_32x4d,1910.43,535.993,1024,224,8.01,21.23,44.18
+resnext101_32x4d,1909.99,536.115,1024,224,8.01,21.23,44.18
+gluon_resnext101_32x4d,1909.34,536.298,1024,224,8.01,21.23,44.18
+darknet53,1903.77,537.866,1024,288,11.78,15.68,41.61
+darknetaa53,1898.12,539.468,1024,288,10.08,15.68,36.02
+crossvit_15_240,1892.46,541.083,1024,240,5.81,19.77,27.53
+halonet50ts,1881.53,544.226,1024,256,5.3,19.2,22.73
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+mixnet_xl,1872.46,546.86,1024,224,0.93,14.57,11.9
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