pytorch-image-models/results/benchmark-infer-amp-nchw-pt112-cu113-rtx3090.csv

model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
tinynet_e,49285.12,20.767,1024,106,0.03,0.69,2.04
mobilenetv3_small_050,43905.96,23.312,1024,224,0.03,0.92,1.59
lcnet_035,40961.84,24.988,1024,224,0.03,1.04,1.64
lcnet_050,36451.18,28.081,1024,224,0.05,1.26,1.88
mobilenetv3_small_075,32291.57,31.7,1024,224,0.05,1.3,2.04
mobilenetv3_small_100,28935.54,35.379,1024,224,0.06,1.42,2.54
tf_mobilenetv3_small_minimal_100,27926.5,36.657,1024,224,0.06,1.41,2.04
tinynet_d,27303.88,37.493,1024,152,0.05,1.42,2.34
tf_mobilenetv3_small_075,26850.04,38.127,1024,224,0.05,1.3,2.04
tf_mobilenetv3_small_100,24320.21,42.094,1024,224,0.06,1.42,2.54
lcnet_075,22627.19,45.245,1024,224,0.1,1.99,2.36
mnasnet_small,20150.91,50.806,1024,224,0.07,2.16,2.03
levit_128s,19458.78,52.613,1024,224,0.31,1.88,7.78
lcnet_100,18910.66,54.139,1024,224,0.16,2.52,2.95
mobilenetv2_035,18047.72,56.728,1024,224,0.07,2.86,1.68
regnetx_002,17921.55,57.126,1024,224,0.2,2.16,2.68
regnety_002,16656.92,61.462,1024,224,0.2,2.17,3.16
ghostnet_050,16494.57,62.071,1024,224,0.05,1.77,2.59
mnasnet_050,15574.97,65.736,1024,224,0.11,3.07,2.22
mobilenetv2_050,14533.98,70.445,1024,224,0.1,3.64,1.97
tinynet_c,14397.76,71.111,1024,184,0.11,2.87,2.46
semnasnet_050,14065.61,72.79,1024,224,0.11,3.44,2.08
levit_128,13348.5,76.702,1024,224,0.41,2.71,9.21
vit_small_patch32_224,12899.41,79.373,1024,224,1.15,2.5,22.88
mixer_s32_224,12823.61,79.842,1024,224,1.0,2.28,19.1
lcnet_150,12599.24,81.264,1024,224,0.34,3.79,4.5
regnetx_004,12314.46,83.141,1024,224,0.4,3.14,5.16
cs3darknet_focus_s,11852.98,86.381,1024,256,0.69,2.7,3.27
mobilenetv3_large_075,11687.27,87.605,1024,224,0.16,4.0,3.99
resnet10t,11549.51,88.651,1024,224,1.1,2.43,5.44
cs3darknet_s,11540.93,88.716,1024,256,0.72,2.97,3.28
vit_tiny_r_s16_p8_224,10917.33,93.785,1024,224,0.44,2.06,6.34
ese_vovnet19b_slim_dw,10530.7,97.229,1024,224,0.4,5.28,1.9
mobilenetv3_rw,10453.43,97.947,1024,224,0.23,4.41,5.48
hardcorenas_a,10387.47,98.569,1024,224,0.23,4.38,5.26
mobilenetv3_large_100_miil,10298.68,99.419,1024,224,0.23,4.41,5.48
mobilenetv3_large_100,10295.13,99.453,1024,224,0.23,4.41,5.48
tf_mobilenetv3_large_075,10277.2,99.627,1024,224,0.16,4.0,3.99
gernet_s,10228.24,100.105,1024,224,0.75,2.65,8.17
mnasnet_075,10209.23,100.29,1024,224,0.23,4.77,3.17
levit_192,10099.95,101.375,1024,224,0.66,3.2,10.95
tf_mobilenetv3_large_minimal_100,10021.88,102.166,1024,224,0.22,4.4,3.92
hardcorenas_b,9469.88,108.121,1024,224,0.26,5.09,5.18
regnetx_006,9309.45,109.982,1024,224,0.61,3.98,6.2
tinynet_b,9298.6,110.113,1024,188,0.21,4.44,3.73
regnety_004,9296.36,110.137,1024,224,0.41,3.89,4.34
ghostnet_100,9264.87,110.513,1024,224,0.15,3.55,5.18
hardcorenas_c,9196.31,111.338,1024,224,0.28,5.01,5.52
resnet18,9171.4,111.64,1024,224,1.82,2.48,11.69
tf_mobilenetv3_large_100,9170.64,111.649,1024,224,0.23,4.41,5.48
mobilenetv2_075,9151.72,111.88,1024,224,0.22,5.86,2.64
swsl_resnet18,9145.07,111.962,1024,224,1.82,2.48,11.69
mnasnet_100,9128.95,112.159,1024,224,0.33,5.46,4.38
mnasnet_b1,9096.68,112.558,1024,224,0.33,5.46,4.38
gluon_resnet18_v1b,9092.93,112.604,1024,224,1.82,2.48,11.69
ssl_resnet18,9043.33,113.221,1024,224,1.82,2.48,11.69
semnasnet_075,8958.16,114.297,1024,224,0.23,5.54,2.91
hardcorenas_d,8756.1,116.935,1024,224,0.3,4.93,7.5
seresnet18,8678.54,117.981,1024,224,1.82,2.49,11.78
regnety_006,8404.01,121.832,1024,224,0.61,4.33,6.06
mobilenetv2_100,8360.81,122.466,1024,224,0.31,6.68,3.5
legacy_seresnet18,8318.12,123.094,1024,224,1.82,2.49,11.78
spnasnet_100,8246.33,124.165,1024,224,0.35,6.03,4.42
semnasnet_100,8027.18,127.555,1024,224,0.32,6.23,3.89
mnasnet_a1,8013.14,127.779,1024,224,0.32,6.23,3.89
levit_256,7862.24,130.228,1024,224,1.13,4.23,18.89
resnet18d,7721.04,132.614,1024,224,2.06,3.29,11.71
hardcorenas_f,7642.68,133.973,1024,224,0.35,5.57,8.2
hardcorenas_e,7588.05,134.938,1024,224,0.35,5.65,8.07
ese_vovnet19b_slim,7530.8,135.964,1024,224,1.69,3.52,3.17
efficientnet_lite0,7530.79,135.964,1024,224,0.4,6.74,4.65
ghostnet_130,7411.84,138.146,1024,224,0.24,4.6,7.36
regnetx_008,7376.89,138.798,1024,224,0.81,5.15,7.26
tinynet_a,7260.16,141.032,1024,192,0.35,5.41,6.19
tf_efficientnetv2_b0,7117.22,143.865,1024,224,0.73,4.77,7.14
fbnetc_100,7115.49,143.899,1024,224,0.4,6.51,5.57
regnety_008,7108.36,144.037,1024,224,0.81,5.25,6.26
xcit_nano_12_p16_224_dist,7019.86,145.861,1024,224,0.56,4.17,3.05
xcit_nano_12_p16_224,7000.29,146.268,1024,224,0.56,4.17,3.05
edgenext_xx_small,6963.01,147.05,1024,256,0.33,4.21,1.33
levit_256d,6856.41,149.338,1024,224,1.4,4.93,26.21
deit_tiny_patch16_224,6794.46,150.698,1024,224,1.26,5.97,5.72
vit_tiny_patch16_224,6769.81,151.248,1024,224,1.26,5.97,5.72
tf_efficientnet_lite0,6667.82,153.562,1024,224,0.4,6.74,4.65
deit_tiny_distilled_patch16_224,6647.4,154.032,1024,224,1.27,6.01,5.91
efficientnet_b0,6576.16,155.702,1024,224,0.4,6.75,5.29
dla46_c,6538.59,156.596,1024,224,0.58,4.5,1.3
rexnetr_100,6369.79,160.748,1024,224,0.43,7.72,4.88
mnasnet_140,6297.39,162.595,1024,224,0.6,7.71,7.12
rexnet_100,6295.89,162.634,1024,224,0.41,7.44,4.8
efficientnet_b1_pruned,6269.62,163.315,1024,240,0.4,6.21,6.33
mobilenetv2_110d,6263.44,163.477,1024,224,0.45,8.71,4.52
regnetz_005,6057.27,169.042,1024,224,0.52,5.86,7.12
resnetblur18,6056.25,169.07,1024,224,2.34,3.39,11.69
pit_ti_distilled_224,6026.49,169.903,1024,224,0.71,6.23,5.1
pit_ti_224,5988.08,170.993,1024,224,0.7,6.19,4.85
nf_regnet_b0,5936.35,172.485,1024,256,0.64,5.58,8.76
mobilevitv2_050,5906.65,173.353,1024,256,0.48,8.04,1.37
tf_efficientnet_b0_ap,5894.61,173.707,1024,224,0.4,6.75,5.29
tf_efficientnet_b0,5892.32,173.774,1024,224,0.4,6.75,5.29
tf_efficientnet_b0_ns,5891.52,173.799,1024,224,0.4,6.75,5.29
visformer_tiny,5845.93,175.153,1024,224,1.27,5.72,10.32
resnet14t,5834.5,175.495,1024,224,1.69,5.8,10.08
dla46x_c,5690.98,179.922,1024,224,0.54,5.66,1.07
skresnet18,5640.2,181.543,1024,224,1.82,3.24,11.96
semnasnet_140,5544.22,184.685,1024,224,0.6,8.87,6.11
hrnet_w18_small,5451.81,187.816,1024,224,1.61,5.72,13.19
mobilenetv2_140,5399.1,189.649,1024,224,0.6,9.57,6.11
resnet34,5356.43,191.161,1024,224,3.67,3.74,21.8
dla60x_c,5292.02,193.487,1024,224,0.59,6.01,1.32
mobilevit_xxs,5275.05,194.109,1024,256,0.42,8.34,1.27
ese_vovnet19b_dw,5260.83,194.634,1024,224,1.34,8.25,6.54
gluon_resnet34_v1b,5203.76,196.769,1024,224,3.67,3.74,21.8
tv_resnet34,5193.55,197.156,1024,224,3.67,3.74,21.8
efficientnet_lite1,5144.81,199.024,1024,240,0.62,10.14,5.42
mixnet_s,5054.78,202.566,1024,224,0.25,6.25,4.13
seresnet34,5051.53,202.699,1024,224,3.67,3.74,21.96
gernet_m,5028.39,203.632,1024,224,3.02,5.24,21.14
fbnetv3_b,4982.49,205.508,1024,256,0.55,9.1,8.6
selecsls42,4945.53,207.043,1024,224,2.94,4.62,30.35
selecsls42b,4942.3,207.179,1024,224,2.98,4.62,32.46
vit_base_patch32_224_sam,4921.3,208.063,1024,224,4.41,5.01,88.22
vit_base_patch32_224,4918.17,208.197,1024,224,4.41,5.01,88.22
resnet34d,4834.03,211.82,1024,224,3.91,4.54,21.82
rexnetr_130,4789.2,213.803,1024,224,0.68,9.81,7.61
pit_xs_224,4766.56,214.816,1024,224,1.4,7.71,10.62
tf_efficientnetv2_b1,4738.51,216.09,1024,240,1.21,7.34,8.14
legacy_seresnet34,4737.15,216.152,1024,224,3.67,3.74,21.96
pit_xs_distilled_224,4722.37,216.826,1024,224,1.41,7.76,11.0
mixer_b32_224,4707.3,217.523,1024,224,3.24,6.29,60.29
tf_mixnet_s,4706.57,217.551,1024,224,0.25,6.25,4.13
tf_efficientnet_lite1,4662.36,219.62,1024,240,0.62,10.14,5.42
xcit_tiny_12_p16_224_dist,4593.26,222.924,1024,224,1.24,6.29,6.72
xcit_tiny_12_p16_224,4592.09,222.979,1024,224,1.24,6.29,6.72
rexnet_130,4578.43,223.646,1024,224,0.68,9.71,7.56
levit_384,4538.82,225.597,1024,224,2.36,6.26,39.13
mobilenetv2_120d,4530.56,226.009,1024,224,0.69,11.97,5.83
edgenext_x_small,4436.58,230.795,1024,256,0.68,7.5,2.34
cs3darknet_focus_m,4399.27,232.755,1024,288,2.51,6.19,9.3
efficientnet_b0_g16_evos,4394.3,233.017,1024,224,1.01,7.42,8.11
efficientnet_es,4389.85,233.253,1024,224,1.81,8.73,5.44
efficientnet_es_pruned,4389.6,233.266,1024,224,1.81,8.73,5.44
resnet26,4383.27,233.604,1024,224,2.36,7.35,16.0
cs3darknet_m,4330.89,236.429,1024,288,2.63,6.69,9.31
fbnetv3_d,4328.59,236.555,1024,256,0.68,11.1,10.31
repvgg_b0,4286.85,238.858,1024,224,3.41,6.15,15.82
selecsls60,4286.11,238.899,1024,224,3.59,5.52,30.67
darknet17,4270.14,179.843,768,256,3.26,7.18,14.3
selecsls60b,4265.59,240.05,1024,224,3.63,5.52,32.77
efficientnet_b2_pruned,4264.69,240.099,1024,260,0.73,9.13,8.31
tf_efficientnet_es,4239.07,241.551,1024,224,1.81,8.73,5.44
regnetx_016,4196.72,243.986,1024,224,1.62,7.93,9.19
rexnetr_150,4170.12,245.545,1024,224,0.89,11.13,9.78
crossvit_tiny_240,4122.19,248.4,1024,240,1.57,9.08,7.01
dla34,4120.09,248.525,1024,224,3.07,5.02,15.74
mixer_s16_224,4085.83,250.611,1024,224,3.79,5.97,18.53
vit_small_patch32_384,4015.79,254.982,1024,384,3.45,8.25,22.92
rexnet_150,3990.72,256.583,1024,224,0.9,11.21,9.73
resnet26d,3989.2,256.681,1024,224,2.6,8.15,16.01
ecaresnet50d_pruned,3983.23,257.066,1024,224,2.53,6.43,19.94
efficientnet_lite2,3977.91,257.41,1024,260,0.89,12.9,6.09
gmlp_ti16_224,3944.3,259.603,1024,224,1.34,7.55,5.87
mobilevitv2_075,3905.27,262.199,1024,256,1.05,12.06,2.87
crossvit_9_240,3875.46,264.215,1024,240,1.85,9.52,8.55
darknet21,3872.25,198.322,768,256,3.93,7.47,20.86
nf_resnet26,3857.21,265.465,1024,224,2.41,7.35,16.0
convnext_nano_ols,3756.44,272.585,1024,224,2.5,8.37,15.6
convnext_nano_hnf,3749.56,273.084,1024,224,2.46,8.37,15.59
sedarknet21,3744.18,205.107,768,256,3.93,7.47,20.95
efficientnet_b1,3742.67,273.59,1024,256,0.77,12.22,7.79
crossvit_9_dagger_240,3734.14,274.215,1024,240,1.99,9.97,8.78
tf_efficientnet_b1,3731.51,274.409,1024,240,0.71,10.88,7.79
tf_efficientnet_b1_ns,3731.48,274.411,1024,240,0.71,10.88,7.79
tf_efficientnet_b1_ap,3726.19,274.8,1024,240,0.71,10.88,7.79
resnest14d,3644.88,280.93,1024,224,2.76,7.33,10.61
regnety_016,3624.55,282.503,1024,224,1.63,8.04,11.2
tf_efficientnet_lite2,3624.06,282.543,1024,260,0.89,12.9,6.09
vit_tiny_r_s16_p8_384,3594.94,213.622,768,384,1.34,6.49,6.36
tf_efficientnetv2_b2,3593.98,284.91,1024,260,1.72,9.84,10.1
poolformer_s12,3483.41,293.951,1024,224,1.82,5.53,11.92
resmlp_12_224,3460.87,295.868,1024,224,3.01,5.5,15.35
resmlp_12_distilled_224,3458.54,296.067,1024,224,3.01,5.5,15.35
mixnet_m,3455.23,296.35,1024,224,0.36,8.19,5.01
gmixer_12_224,3401.29,301.051,1024,224,2.67,7.26,12.7
resnext26ts,3375.26,303.371,1024,256,2.43,10.52,10.3
nf_ecaresnet26,3365.9,304.215,1024,224,2.41,7.36,16.0
nf_seresnet26,3360.23,304.729,1024,224,2.41,7.36,17.4
gernet_l,3328.59,307.626,1024,256,4.57,8.0,31.08
repvgg_a2,3325.03,307.955,1024,224,5.7,6.26,28.21
tf_mixnet_m,3322.0,308.236,1024,224,0.36,8.19,5.01
efficientnet_b3_pruned,3297.4,310.535,1024,300,1.04,11.86,9.86
nf_regnet_b1,3293.07,310.944,1024,288,1.02,9.2,10.22
seresnext26ts,3291.26,311.115,1024,256,2.43,10.52,10.39
eca_resnext26ts,3290.56,311.182,1024,256,2.43,10.52,10.3
legacy_seresnext26_32x4d,3269.09,313.225,1024,224,2.49,9.39,16.79
skresnet34,3229.96,317.02,1024,224,3.67,5.13,22.28
gcresnext26ts,3229.79,317.037,1024,256,2.43,10.53,10.48
nf_regnet_b2,3193.49,320.64,1024,272,1.22,9.27,14.31
convit_tiny,3179.42,322.058,1024,224,1.26,7.94,5.71
resnet26t,3149.41,325.128,1024,256,3.35,10.52,16.01
rexnetr_200,3135.78,244.904,768,224,1.59,15.11,16.52
ecaresnet101d_pruned,3129.51,327.195,1024,224,3.48,7.69,24.88
seresnext26tn_32x4d,3050.2,335.704,1024,224,2.7,10.09,16.81
seresnext26t_32x4d,3050.01,335.724,1024,224,2.7,10.09,16.81
ecaresnext50t_32x4d,3049.83,335.744,1024,224,2.7,10.09,15.41
ecaresnext26t_32x4d,3048.36,335.905,1024,224,2.7,10.09,15.41
seresnext26d_32x4d,3037.9,337.063,1024,224,2.73,10.19,16.81
deit_small_patch16_224,3002.36,341.052,1024,224,4.61,11.95,22.05
rexnet_200,3001.86,255.828,768,224,1.56,14.91,16.37
vit_small_patch16_224,3000.37,341.279,1024,224,4.61,11.95,22.05
mobilevit_xs,2981.72,257.559,768,256,1.05,16.33,2.32
deit_small_distilled_patch16_224,2950.87,347.001,1024,224,4.63,12.02,22.44
pit_s_224,2945.22,347.668,1024,224,2.88,11.56,23.46
ecaresnetlight,2941.7,348.085,1024,224,4.11,8.42,30.16
coat_lite_tiny,2932.4,349.189,1024,224,1.6,11.65,5.72
eca_botnext26ts_256,2930.99,349.358,1024,256,2.46,11.6,10.59
pit_s_distilled_224,2918.75,350.821,1024,224,2.9,11.64,24.04
tf_efficientnet_b2_ns,2903.13,352.71,1024,260,1.02,13.83,9.11
tf_efficientnet_b2,2902.67,352.766,1024,260,1.02,13.83,9.11
tf_efficientnet_b2_ap,2901.98,352.851,1024,260,1.02,13.83,9.11
eca_halonext26ts,2883.09,355.163,1024,256,2.44,11.46,10.76
tresnet_m,2870.7,356.694,1024,224,5.74,7.31,31.39
botnet26t_256,2862.72,357.688,1024,256,3.32,11.98,12.49
regnetx_032,2852.1,359.019,1024,224,3.2,11.37,15.3
hrnet_w18_small_v2,2845.04,359.912,1024,224,2.62,9.65,15.6
deit3_small_patch16_224_in21ft1k,2837.48,360.868,1024,224,4.61,11.95,22.06
halonet26t,2832.73,361.477,1024,256,3.19,11.69,12.48
resnetv2_50,2829.74,361.858,1024,224,4.11,11.11,25.55
deit3_small_patch16_224,2828.59,362.004,1024,224,4.61,11.95,22.06
vgg11,2795.7,183.125,512,224,7.61,7.44,132.86
haloregnetz_b,2794.73,366.391,1024,224,1.97,11.94,11.68
bat_resnext26ts,2793.93,366.495,1024,256,2.53,12.51,10.73
vit_relpos_base_patch32_plus_rpn_256,2775.87,368.882,1024,256,7.68,8.01,119.42
vit_base_patch32_plus_256,2773.66,369.174,1024,256,7.79,7.76,119.48
dpn68b,2762.53,370.662,1024,224,2.35,10.47,12.61
vit_small_resnet26d_224,2758.05,371.264,1024,224,5.07,11.12,63.61
efficientnet_b2,2753.12,371.929,1024,288,1.12,16.2,9.11
coat_lite_mini,2752.31,372.037,1024,224,2.0,12.25,11.01
efficientnet_b2a,2752.1,372.068,1024,288,1.12,16.2,9.11
efficientnet_b0_gn,2748.63,372.536,1024,224,0.42,6.75,5.29
resnet50,2733.34,374.621,1024,224,4.11,11.11,25.56
ssl_resnet50,2732.73,374.705,1024,224,4.11,11.11,25.56
tv_resnet50,2732.0,374.804,1024,224,4.11,11.11,25.56
gluon_resnet50_v1b,2731.92,374.815,1024,224,4.11,11.11,25.56
swsl_resnet50,2730.89,374.957,1024,224,4.11,11.11,25.56
cspresnet50,2720.51,376.385,1024,256,4.54,11.5,21.62
resnet32ts,2719.03,376.593,1024,256,4.63,11.58,17.96
dpn68,2711.28,377.669,1024,224,2.35,10.47,12.61
mobilevitv2_100,2710.59,283.322,768,256,1.84,16.08,4.9
vovnet39a,2706.48,378.339,1024,224,7.09,6.73,22.6
resnetv2_50t,2687.6,380.997,1024,224,4.32,11.82,25.57
resnet33ts,2683.32,381.605,1024,256,4.76,11.66,19.68
resnetv2_50d,2678.25,382.327,1024,224,4.35,11.92,25.57
efficientnet_em,2663.14,384.496,1024,240,3.04,14.34,6.9
mixnet_l,2651.17,289.672,768,224,0.58,10.84,7.33
visformer_small,2638.82,388.04,1024,224,4.88,11.43,40.22
ese_vovnet39b,2631.4,389.135,1024,224,7.09,6.74,24.57
resnest26d,2624.21,390.2,1024,224,3.64,9.97,17.07
vit_relpos_small_patch16_224,2615.53,391.496,1024,224,4.59,13.05,21.98
seresnet33ts,2613.57,391.79,1024,256,4.76,11.66,19.78
eca_resnet33ts,2609.68,392.373,1024,256,4.76,11.66,19.68
vit_srelpos_small_patch16_224,2607.7,392.67,1024,224,4.59,12.16,21.97
eca_vovnet39b,2607.14,392.755,1024,224,7.09,6.74,22.6
gluon_resnet50_v1c,2599.91,393.848,1024,224,4.35,11.92,25.58
tf_efficientnet_em,2599.16,393.961,1024,240,3.04,14.34,6.9
cspresnet50w,2589.44,395.44,1024,256,5.04,12.19,28.12
resnet50d,2584.02,396.27,1024,224,4.35,11.92,25.58
legacy_seresnet50,2582.34,396.527,1024,224,3.88,10.6,28.09
resnet50t,2580.37,396.829,1024,224,4.32,11.82,25.57
twins_svt_small,2576.63,397.407,1024,224,2.94,13.75,24.06
gluon_resnet50_v1d,2570.89,398.293,1024,224,4.35,11.92,25.58
gcresnet33ts,2569.2,398.556,1024,256,4.76,11.68,19.88
cspresnet50d,2560.0,399.988,1024,256,4.86,12.55,21.64
lambda_resnet26t,2551.69,401.29,1024,256,3.02,11.87,10.96
tf_mixnet_l,2550.79,301.072,768,224,0.58,10.84,7.33
selecsls84,2543.3,402.613,1024,224,5.9,7.57,50.95
vgg11_bn,2541.42,201.45,512,224,7.62,7.44,132.87
dla60,2525.2,405.498,1024,224,4.26,10.16,22.04
cs3darknet_focus_l,2520.03,406.331,1024,288,5.9,10.16,21.15
res2net50_48w_2s,2502.4,409.196,1024,224,4.18,11.72,25.29
cs3darknet_l,2485.99,411.896,1024,288,6.16,10.83,21.16
densenet121,2467.71,414.945,1024,224,2.87,6.9,7.98
xcit_nano_12_p16_384_dist,2466.74,415.111,1024,384,1.64,12.15,3.05
xcit_tiny_24_p16_224_dist,2463.21,415.705,1024,224,2.34,11.82,12.12
tv_densenet121,2461.4,416.011,1024,224,2.87,6.9,7.98
xcit_tiny_24_p16_224,2457.2,416.72,1024,224,2.34,11.82,12.12
seresnet50,2438.84,419.859,1024,224,4.11,11.13,28.09
convnext_tiny_hnfd,2399.93,426.664,1024,224,4.47,13.44,28.59
convnext_tiny_hnf,2395.62,427.433,1024,224,4.47,13.44,28.59
efficientnet_lite3,2383.15,214.83,512,300,1.65,21.85,8.2
efficientnet_b0_g8_gn,2375.8,431.002,1024,224,0.66,6.75,6.56
convnext_tiny_in22ft1k,2362.17,433.485,1024,224,4.47,13.44,28.59
densenet121d,2362.07,433.503,1024,224,3.11,7.7,8.0
convnext_tiny,2359.72,433.936,1024,224,4.47,13.44,28.59
cs3sedarknet_l,2353.08,435.161,1024,288,6.16,10.83,21.91
resnetaa50d,2350.26,435.685,1024,224,5.39,12.44,25.58
efficientnet_cc_b0_4e,2334.0,438.721,1024,224,0.41,9.42,13.31
seresnet50t,2333.68,438.78,1024,224,4.32,11.83,28.1
ecaresnet50d,2316.33,442.066,1024,224,4.35,11.93,25.58
resnetblur50,2298.66,445.465,1024,224,5.16,12.02,25.56
mobilevit_s,2279.76,336.866,768,256,2.03,19.94,5.58
resnetrs50,2276.18,449.864,1024,224,4.48,12.14,35.69
vit_base_resnet26d_224,2262.15,452.654,1024,224,6.97,13.16,101.4
gluon_resnet50_v1s,2257.16,453.655,1024,224,5.47,13.52,25.68
vovnet57a,2253.6,454.372,1024,224,8.95,7.52,36.64
adv_inception_v3,2250.27,455.041,1024,299,5.73,8.97,23.83
gluon_inception_v3,2249.35,455.229,1024,299,5.73,8.97,23.83
tf_inception_v3,2245.22,456.064,1024,299,5.73,8.97,23.83
tf_efficientnet_cc_b0_4e,2243.01,456.518,1024,224,0.41,9.42,13.31
inception_v3,2240.78,456.965,1024,299,5.73,8.97,23.83
tf_efficientnet_cc_b0_8e,2240.71,456.986,1024,224,0.42,9.42,24.01
densenetblur121d,2235.56,458.037,1024,224,3.11,7.9,8.0
resnest50d_1s4x24d,2213.57,462.589,1024,224,4.43,13.57,25.68
res2net50_26w_4s,2209.54,463.432,1024,224,4.28,12.61,25.7
ssl_resnext50_32x4d,2205.13,464.359,1024,224,4.26,14.4,25.03
swsl_resnext50_32x4d,2204.8,464.429,1024,224,4.26,14.4,25.03
gluon_resnext50_32x4d,2203.2,464.765,1024,224,4.26,14.4,25.03
resnext50_32x4d,2199.44,465.561,1024,224,4.26,14.4,25.03
tv_resnext50_32x4d,2198.23,465.818,1024,224,4.26,14.4,25.03
regnetx_040,2190.95,467.362,1024,224,3.99,12.2,22.12
cspresnext50,2182.4,469.194,1024,256,4.05,15.86,20.57
resnetblur50d,2182.09,469.263,1024,224,5.4,12.82,25.58
regnetz_b16,2180.8,469.54,1024,288,2.39,16.43,9.72
ese_vovnet57b,2171.57,471.535,1024,224,8.95,7.52,38.61
tf_efficientnet_lite3,2166.77,236.285,512,300,1.65,21.85,8.2
mobilevitv2_125,2151.63,356.926,768,256,2.86,20.1,7.48
efficientnet_cc_b0_8e,2149.58,476.36,1024,224,0.42,9.42,24.01
semobilevit_s,2143.19,358.331,768,256,2.03,19.95,5.74
twins_pcpvt_small,2142.01,478.043,1024,224,3.83,18.08,24.11
nf_regnet_b3,2133.81,479.88,1024,320,2.05,14.61,18.59
tf_efficientnetv2_b3,2121.62,482.639,1024,300,3.04,15.74,14.36
seresnetaa50d,2118.99,483.236,1024,224,5.4,12.46,28.11
efficientnetv2_rw_t,2117.33,483.616,1024,288,3.19,16.42,13.65
gcresnext50ts,2113.73,484.438,1024,256,3.75,15.46,15.67
edgenext_small,2107.47,485.876,1024,320,1.97,14.16,5.59
resnext50d_32x4d,2094.1,488.98,1024,224,4.5,15.2,25.05
dla60x,2080.97,492.062,1024,224,3.54,13.8,17.35
res2net50_14w_8s,2066.79,495.441,1024,224,4.21,13.28,25.06
gc_efficientnetv2_rw_t,2061.37,496.743,1024,288,3.2,16.45,13.68
sehalonet33ts,2057.14,373.322,768,256,3.55,14.7,13.69
gcresnet50t,2055.89,498.068,1024,256,5.42,14.67,25.9
skresnet50,2048.81,499.79,1024,224,4.11,12.5,25.8
fbnetv3_g,2047.87,500.019,1024,288,1.77,21.09,16.62
nf_ecaresnet50,2039.26,502.129,1024,224,4.21,11.13,25.56
nf_seresnet50,2037.45,502.576,1024,224,4.21,11.13,28.09
cs3darknet_focus_x,2026.01,505.415,1024,256,8.03,10.69,35.02
dla60_res2net,2015.55,508.035,1024,224,4.15,12.34,20.85
lambda_resnet26rpt_256,2015.24,190.536,384,256,3.16,11.87,10.99
seresnext50_32x4d,2010.4,509.339,1024,224,4.26,14.42,27.56
legacy_seresnext50_32x4d,2003.57,511.076,1024,224,4.26,14.42,27.56
repvgg_b1g4,2003.2,511.169,1024,224,8.15,10.64,39.97
gluon_seresnext50_32x4d,2002.45,511.358,1024,224,4.26,14.42,27.56
densenet169,1987.41,515.228,1024,224,3.4,7.3,14.15
res2next50,1967.78,520.369,1024,224,4.2,13.71,24.67
vit_relpos_small_patch16_rpn_224,1966.99,520.579,1024,224,4.59,13.05,21.97
skresnet50d,1957.14,523.201,1024,224,4.36,13.31,25.82
xcit_small_12_p16_224_dist,1952.72,524.382,1024,224,4.82,12.58,26.25
crossvit_small_240,1952.54,524.431,1024,240,5.63,18.17,26.86
xcit_small_12_p16_224,1952.1,524.55,1024,224,4.82,12.58,26.25
cs3sedarknet_xdw,1919.73,533.397,1024,256,5.97,17.18,21.6
swin_tiny_patch4_window7_224,1915.52,534.569,1024,224,4.51,17.06,28.29
vit_relpos_medium_patch16_cls_224,1909.56,536.236,1024,224,8.03,18.24,38.76
mixnet_xl,1903.31,268.993,512,224,0.93,14.57,11.9
dla60_res2next,1893.19,540.873,1024,224,3.49,13.17,17.03
xcit_nano_12_p8_224_dist,1887.0,542.649,1024,224,2.16,15.71,3.05
xcit_nano_12_p8_224,1883.21,543.74,1024,224,2.16,15.71,3.05
cspdarknet53,1881.33,408.211,768,256,6.57,16.81,27.64
gmlp_s16_224,1873.82,546.464,1024,224,4.42,15.1,19.42
edgenext_small_rw,1831.96,558.95,1024,320,2.46,14.85,7.83
ecaresnet26t,1828.87,559.898,1024,320,5.24,16.44,16.01
vit_small_r26_s32_224,1825.94,560.792,1024,224,3.56,9.85,36.43
vgg13,1819.73,281.346,512,224,11.31,12.25,133.05
poolformer_s24,1804.4,567.487,1024,224,3.41,10.68,21.39
crossvit_15_240,1799.06,569.173,1024,240,5.81,19.77,27.53
vit_relpos_medium_patch16_224,1794.09,570.75,1024,224,7.97,17.02,38.75
vit_srelpos_medium_patch16_224,1787.05,573.0,1024,224,7.96,16.21,38.74
mobilevitv2_150,1774.77,288.477,512,256,4.09,24.11,10.59
mobilevitv2_150_in22ft1k,1773.43,288.695,512,256,4.09,24.11,10.59
sebotnet33ts_256,1762.47,217.864,384,256,3.89,17.46,13.7
resmlp_24_224,1761.92,581.171,1024,224,5.96,10.91,30.02
efficientnet_b3,1761.71,290.615,512,320,2.01,26.52,12.23
efficientnet_b3a,1761.71,290.614,512,320,2.01,26.52,12.23
resmlp_24_distilled_224,1760.69,581.576,1024,224,5.96,10.91,30.02
regnetx_064,1757.88,436.877,768,224,6.49,16.37,26.21
resnest50d,1750.78,584.87,1024,224,5.4,14.36,27.48
gmixer_24_224,1741.35,588.036,1024,224,5.28,14.45,24.72
swin_s3_tiny_224,1737.42,589.369,1024,224,4.64,19.13,28.33
crossvit_15_dagger_240,1736.98,589.517,1024,240,6.13,20.43,28.21
vit_base_resnet50d_224,1722.65,594.42,1024,224,8.73,16.92,110.97
resnetv2_101,1717.18,596.314,1024,224,7.83,16.23,44.54
tf_efficientnet_b3_ap,1706.97,299.935,512,300,1.87,23.83,12.23
tf_efficientnet_b3,1705.74,300.151,512,300,1.87,23.83,12.23
tf_efficientnet_b3_ns,1705.51,300.191,512,300,1.87,23.83,12.23
lambda_resnet50ts,1694.68,604.231,1024,256,5.07,17.48,21.54
dla102,1693.75,604.56,1024,224,7.19,14.18,33.27
darknetaa53,1689.16,454.651,768,288,10.08,15.68,36.02
gluon_resnet101_v1b,1679.75,609.599,1024,224,7.83,16.23,44.55
tv_resnet101,1679.18,609.808,1024,224,7.83,16.23,44.55
resnet101,1676.67,610.719,1024,224,7.83,16.23,44.55
repvgg_b1,1663.53,615.546,1024,224,13.16,10.64,57.42
resnetv2_101d,1653.14,619.414,1024,224,8.07,17.04,44.56
gluon_resnet101_v1c,1649.02,620.96,1024,224,8.08,17.04,44.57
vgg13_bn,1642.15,311.774,512,224,11.33,12.25,133.05
cait_xxs24_224,1641.65,623.749,1024,224,2.53,20.29,11.96
res2net50_26w_6s,1639.34,624.627,1024,224,6.33,15.28,37.05
hrnet_w18,1631.65,627.569,1024,224,4.32,16.31,21.3
vit_large_patch32_224,1623.29,630.805,1024,224,15.39,13.3,306.54
wide_resnet50_2,1618.04,632.851,1024,224,11.43,14.4,68.88
gluon_resnet101_v1d,1616.88,633.307,1024,224,8.08,17.04,44.57
xcit_tiny_12_p16_384_dist,1614.06,634.414,1024,384,3.64,18.26,6.72
regnetv_040,1604.78,478.557,768,288,6.6,20.3,20.64
halonet50ts,1600.56,639.764,1024,256,5.3,19.2,22.73
regnety_040,1597.66,480.688,768,288,6.61,20.3,20.65
darknet53,1585.01,484.528,768,288,11.78,15.68,41.61
efficientnet_cc_b1_8e,1576.34,649.593,1024,240,0.75,15.44,39.72
coat_lite_small,1576.03,649.72,1024,224,3.96,22.09,19.84
regnety_032,1576.03,649.722,1024,288,5.29,18.61,19.44
resnetv2_50x1_bit_distilled,1575.9,649.775,1024,224,4.23,11.11,25.55
swinv2_cr_tiny_224,1574.62,650.304,1024,224,4.66,28.45,28.33
legacy_seresnet101,1569.43,652.454,1024,224,7.61,15.74,49.33
vit_base_patch32_384,1551.76,659.885,1024,384,13.06,16.5,88.3
ese_vovnet39b_evos,1551.37,660.05,1024,224,7.07,6.74,24.58
swinv2_cr_tiny_ns_224,1546.02,662.33,1024,224,4.66,28.45,28.33
vit_tiny_patch16_384,1542.96,663.648,1024,384,4.7,25.39,5.79
lamhalobotnet50ts_256,1533.2,667.873,1024,256,5.02,18.44,22.57
tf_efficientnet_cc_b1_8e,1527.24,670.479,1024,240,0.75,15.44,39.72
resnetaa101d,1521.49,673.009,1024,224,9.12,17.56,44.57
densenet201,1515.85,675.514,1024,224,4.34,7.85,20.01
resnetaa50,1510.7,677.817,1024,288,8.52,19.24,25.56
mixer_l32_224,1508.54,678.791,1024,224,11.27,19.86,206.94
seresnet101,1502.48,681.526,1024,224,7.84,16.27,49.33
vit_base_r26_s32_224,1492.4,686.129,1024,224,6.81,12.36,101.38
gluon_resnet101_v1s,1485.37,689.375,1024,224,9.19,18.64,44.67
twins_pcpvt_base,1484.93,689.584,1024,224,6.68,25.25,43.83
mobilevitv2_175,1472.18,347.77,512,256,5.54,28.13,14.25
mobilevitv2_175_in22ft1k,1472.06,347.8,512,256,5.54,28.13,14.25
nf_resnet101,1469.16,696.987,1024,224,8.01,16.23,44.55
resnest50d_4s2x40d,1467.36,697.84,1024,224,4.4,17.94,30.42
vgg16,1464.57,349.576,512,224,15.47,13.56,138.36
resnetv2_50d_frn,1463.93,699.474,1024,224,4.33,11.92,25.59
resnetblur101d,1458.09,702.276,1024,224,9.12,17.94,44.57
ecaresnet101d,1457.01,702.796,1024,224,8.08,17.07,44.57
sequencer2d_s,1455.29,703.627,1024,224,4.96,11.31,27.65
nf_resnet50,1445.9,708.195,1024,288,6.88,18.37,25.56
convnext_small,1445.85,708.22,1024,224,8.71,21.56,50.22
convnext_small_in22ft1k,1443.98,709.135,1024,224,8.71,21.56,50.22
regnetz_c16,1437.42,356.181,512,320,3.92,25.88,13.46
tresnet_l,1432.52,714.812,1024,224,10.88,11.9,55.99
cs3darknet_x,1429.24,716.453,1024,288,10.6,14.36,35.05
dla102x,1397.97,732.475,1024,224,5.89,19.42,26.31
ssl_resnext101_32x4d,1392.96,735.11,1024,224,8.01,21.23,44.18
swsl_resnext101_32x4d,1392.73,735.231,1024,224,8.01,21.23,44.18
resnext101_32x4d,1390.48,736.423,1024,224,8.01,21.23,44.18
botnet50ts_256,1389.99,276.247,384,256,5.54,22.23,22.74
skresnext50_32x4d,1389.9,736.732,1024,224,4.5,17.18,27.48
gluon_resnext101_32x4d,1389.41,736.987,1024,224,8.01,21.23,44.18
nest_tiny,1388.05,553.283,768,224,5.83,25.48,17.06
resnet50_gn,1386.72,738.422,1024,224,4.14,11.11,25.56
resnetv2_50d_evob,1383.3,740.244,1024,224,4.33,11.92,25.59
res2net50_26w_8s,1373.33,745.622,1024,224,8.37,17.95,48.4
halo2botnet50ts_256,1372.33,559.619,768,256,5.02,21.78,22.64
regnetx_080,1370.56,747.125,1024,224,8.02,14.06,39.57
jx_nest_tiny,1362.62,563.605,768,224,5.83,25.48,17.06
convit_small,1355.18,755.603,1024,224,5.76,17.87,27.78
res2net101_26w_4s,1353.43,756.586,1024,224,8.1,18.45,45.21
xception,1340.72,572.814,768,299,8.4,35.83,22.86
mixer_b16_224_miil,1340.03,764.147,1024,224,12.62,14.53,59.88
repvgg_b2g4,1335.06,766.992,1024,224,12.63,12.9,61.76
vgg16_bn,1335.02,383.503,512,224,15.5,13.56,138.37
mixer_b16_224,1328.05,771.041,1024,224,12.62,14.53,59.88
twins_svt_base,1307.2,783.34,1024,224,8.59,26.33,56.07
dpn92,1299.67,787.878,1024,224,6.54,18.21,37.67
ese_vovnet99b_iabn,1282.63,798.345,1024,224,16.49,11.27,63.2
crossvit_18_240,1272.74,804.553,1024,240,9.05,26.26,43.27
regnety_040s_gn,1271.39,805.405,1024,224,4.03,12.29,20.65
eca_nfnet_l0,1271.38,805.411,1024,288,7.12,17.29,24.14
nfnet_l0,1269.37,806.681,1024,288,7.13,17.29,35.07
seresnext101_32x4d,1268.1,807.494,1024,224,8.02,21.26,48.96
legacy_seresnext101_32x4d,1267.59,807.817,1024,224,8.02,21.26,48.96
gluon_seresnext101_32x4d,1265.67,809.045,1024,224,8.02,21.26,48.96
nf_ecaresnet101,1264.2,809.986,1024,224,8.01,16.27,44.55
vit_relpos_medium_patch16_rpn_224,1263.66,810.331,1024,224,7.97,17.02,38.73
nf_seresnet101,1261.42,811.77,1024,224,8.02,16.27,49.33
mobilevitv2_200,1256.15,305.684,384,256,7.22,32.15,18.45
mobilevitv2_200_in22ft1k,1255.83,305.762,384,256,7.22,32.15,18.45
xception41p,1254.65,408.071,512,299,9.25,39.86,26.91
resnet51q,1254.6,816.185,1024,288,8.07,20.94,35.7
efficientnet_el,1254.42,408.143,512,300,8.0,30.7,10.59
efficientnet_el_pruned,1254.28,408.188,512,300,8.0,30.7,10.59
ese_vovnet99b,1240.88,825.205,1024,224,16.51,11.27,63.2
xcit_tiny_12_p8_224_dist,1237.16,827.688,1024,224,4.81,23.6,6.71
xcit_tiny_12_p8_224,1235.05,829.105,1024,224,4.81,23.6,6.71
crossvit_18_dagger_240,1235.02,829.126,1024,240,9.5,27.03,44.27
vgg19,1227.1,417.229,512,224,19.63,14.86,143.67
tf_efficientnet_el,1226.94,417.286,512,300,8.0,30.7,10.59
poolformer_s36,1217.09,841.334,1024,224,5.0,15.82,30.86
hrnet_w32,1204.83,849.897,1024,224,8.97,22.02,41.23
hrnet_w30,1202.88,851.275,1024,224,8.15,21.21,37.71
resnetv2_152,1196.21,856.023,1024,224,11.55,22.56,60.19
nfnet_f0,1193.84,857.722,1024,256,12.62,18.05,71.49
swin_small_patch4_window7_224,1179.92,867.841,1024,224,8.77,27.47,49.61
resmlp_36_224,1179.88,867.87,1024,224,8.91,16.33,44.69
vit_small_resnet50d_s16_224,1179.15,868.406,1024,224,13.48,24.82,57.53
resmlp_36_distilled_224,1179.01,868.509,1024,224,8.91,16.33,44.69
efficientnet_lite4,1178.02,325.958,384,380,4.04,45.66,13.01
tv_resnet152,1172.68,873.198,1024,224,11.56,22.56,60.19
gluon_resnet152_v1b,1172.67,873.208,1024,224,11.56,22.56,60.19
resnet152,1170.69,874.682,1024,224,11.56,22.56,60.19
mixnet_xxl,1163.99,329.888,384,224,2.04,23.43,23.96
resnetv2_152d,1163.57,880.032,1024,224,11.8,23.36,60.2
ecaresnet50t,1162.34,880.97,1024,320,8.82,24.13,25.57
resnet61q,1160.54,882.331,1024,288,9.87,21.52,36.85
vit_base_patch16_224_miil,1154.75,886.763,1024,224,17.58,23.9,86.54
repvgg_b2,1154.25,887.146,1024,224,20.45,12.9,89.02
inception_v4,1153.57,887.661,1024,299,12.28,15.09,42.68
swinv2_tiny_window8_256,1152.79,888.266,1024,256,5.96,24.57,28.35
densenet161,1147.8,892.122,1024,224,7.79,11.06,28.68
gluon_resnet152_v1c,1146.71,892.979,1024,224,11.8,23.36,60.21
gluon_resnet152_v1d,1141.31,897.204,1024,224,11.8,23.36,60.21
sequencer2d_m,1138.06,899.765,1024,224,6.55,14.26,38.31
vit_base_patch16_224_sam,1132.42,904.242,1024,224,17.58,23.9,86.57
deit_base_patch16_224,1132.42,904.245,1024,224,17.58,23.9,86.57
vit_base_patch16_224,1132.21,904.413,1024,224,17.58,23.9,86.57
dla169,1130.13,906.071,1024,224,11.6,20.2,53.39
regnetx_120,1129.55,453.263,512,224,12.13,21.37,46.11
volo_d1_224,1126.62,908.904,1024,224,6.94,24.43,26.63
vgg19_bn,1122.31,456.189,512,224,19.66,14.86,143.68
deit_base_distilled_patch16_224,1116.6,917.056,1024,224,17.68,24.05,87.34
xception41,1110.46,461.057,512,299,9.28,39.86,26.97
cait_xxs36_224,1104.66,926.97,1024,224,3.77,30.34,17.3
tf_efficientnet_lite4,1091.59,351.767,384,380,4.04,45.66,13.01
convmixer_1024_20_ks9_p14,1091.56,938.092,1024,224,5.55,5.51,24.38
deit3_base_patch16_224,1090.26,939.213,1024,224,17.58,23.9,86.59
deit3_base_patch16_224_in21ft1k,1088.57,940.667,1024,224,17.58,23.9,86.59
legacy_seresnet152,1086.41,942.544,1024,224,11.33,22.08,66.82
tnt_s_patch16_224,1079.54,948.54,1024,224,5.24,24.37,23.76
regnety_120,1077.58,475.125,512,224,12.14,21.38,51.82
repvgg_b3g4,1077.28,950.524,1024,224,17.89,15.1,83.83
vit_relpos_base_patch16_clsgap_224,1077.01,950.767,1024,224,17.6,25.12,86.43
vit_relpos_base_patch16_cls_224,1076.19,951.489,1024,224,17.6,25.12,86.43
gluon_resnet152_v1s,1074.28,953.181,1024,224,12.92,24.96,60.32
twins_pcpvt_large,1061.77,964.416,1024,224,9.84,35.82,60.99
seresnet152,1047.32,977.721,1024,224,11.57,22.61,66.82
beit_base_patch16_224,1045.12,979.774,1024,224,17.58,23.9,86.53
xcit_small_24_p16_224_dist,1038.39,986.125,1024,224,9.1,23.64,47.67
xcit_small_24_p16_224,1037.69,986.793,1024,224,9.1,23.64,47.67
coat_tiny,1036.7,987.731,1024,224,4.35,27.2,5.5
dm_nfnet_f0,1035.11,989.253,1024,256,12.62,18.05,71.49
nf_regnet_b4,1027.0,997.065,1024,384,4.7,28.61,30.21
vit_relpos_base_patch16_224,1017.61,1006.263,1024,224,17.51,24.97,86.43
convnext_base_in22ft1k,1006.85,1017.02,1024,224,15.38,28.75,88.59
convnext_base,1006.73,1017.126,1024,224,15.38,28.75,88.59
pit_b_224,993.61,515.277,512,224,12.42,32.94,73.76
pit_b_distilled_224,985.16,519.696,512,224,12.5,33.07,74.79
tresnet_xl,983.38,1041.292,1024,224,15.17,15.34,78.44
efficientnetv2_s,976.0,1049.166,1024,384,8.44,35.77,21.46
dla102x2,973.1,526.138,512,224,9.34,29.91,41.28
vit_small_patch16_36x1_224,972.14,1053.329,1024,224,13.71,35.69,64.67
swinv2_cr_small_224,966.28,1059.712,1024,224,9.07,50.27,49.7
swinv2_cr_small_ns_224,955.69,1071.465,1024,224,9.08,50.27,49.7
tf_efficientnetv2_s_in21ft1k,955.24,1071.964,1024,384,8.44,35.77,21.46
tf_efficientnetv2_s,955.13,1072.086,1024,384,8.44,35.77,21.46
vit_small_patch16_18x2_224,948.32,1079.793,1024,224,13.71,35.69,64.67
wide_resnet101_2,939.08,1090.412,1024,224,22.8,21.23,126.89
regnetx_160,936.53,546.684,512,224,15.99,25.52,54.28
regnety_080,933.52,548.447,512,288,13.22,29.69,39.18
regnetz_b16_evos,933.51,822.691,768,288,2.36,16.43,9.74
efficientnetv2_rw_s,931.24,1099.596,1024,384,8.72,38.03,23.94
resnetv2_50d_gn,920.9,1111.946,1024,288,7.24,19.7,25.57
twins_svt_large,918.22,1115.185,1024,224,15.15,35.1,99.27
efficientnet_b4,917.89,418.339,384,384,4.51,50.04,19.34
regnetz_040,913.72,420.249,384,320,6.35,37.78,27.12
xception65p,910.71,562.184,512,299,13.91,52.48,39.82
regnetz_040h,909.33,422.274,384,320,6.43,37.94,28.94
dpn98,906.73,1129.316,1024,224,11.73,25.2,61.57
repvgg_b3,901.67,1135.661,1024,224,29.16,15.1,123.09
resnetrs101,898.53,1139.62,1024,288,13.56,28.53,63.62
gluon_resnext101_64x4d,887.37,1153.955,1024,224,15.52,31.21,83.46
nest_small,885.28,867.51,768,224,10.35,40.04,38.35
poolformer_m36,879.83,1163.84,1024,224,8.8,22.02,56.17
regnetz_d8,877.84,1166.489,1024,320,6.19,37.08,23.37
jx_nest_small,874.11,878.596,768,224,10.35,40.04,38.35
ssl_resnext101_32x8d,874.01,1171.597,1024,224,16.48,31.21,88.79
swsl_resnext101_32x8d,873.31,1172.532,1024,224,16.48,31.21,88.79
resnext101_32x8d,873.01,1172.932,1024,224,16.48,31.21,88.79
ig_resnext101_32x8d,872.81,1173.211,1024,224,16.48,31.21,88.79
regnetz_d32,869.58,1177.564,1024,320,9.33,37.08,27.58
inception_resnet_v2,868.78,1178.653,1024,299,13.18,25.06,55.84
ens_adv_inception_resnet_v2,868.32,1179.275,1024,299,13.18,25.06,55.84
xcit_tiny_24_p16_384_dist,866.54,1181.7,1024,384,6.87,34.29,12.12
cait_s24_224,865.33,1183.354,1024,224,9.35,40.58,46.92
resnest101e,858.93,894.122,768,256,13.38,28.66,48.28
tf_efficientnet_b4,858.91,447.067,384,380,4.49,49.49,19.34
tf_efficientnet_b4_ap,858.7,447.171,384,380,4.49,49.49,19.34
tf_efficientnet_b4_ns,858.52,447.267,384,380,4.49,49.49,19.34
swin_s3_small_224,853.54,899.766,768,224,9.43,37.84,49.74
regnetv_064,852.1,600.857,512,288,10.55,27.11,30.58
regnety_064,851.33,601.396,512,288,10.56,27.11,30.58
resnet200,847.44,1208.333,1024,224,15.07,32.19,64.67
gluon_seresnext101_64x4d,834.87,1226.518,1024,224,15.53,31.25,88.23
coat_mini,833.41,1228.669,1024,224,6.82,33.68,10.34
swin_base_patch4_window7_224,832.6,1229.869,1024,224,15.47,36.63,87.77
resnet101d,816.8,1253.661,1024,320,16.48,34.77,44.57
gluon_xception65,816.5,627.052,512,299,13.96,52.48,39.92
xception65,811.16,631.185,512,299,13.96,52.48,39.92
resnetv2_50d_evos,810.51,947.543,768,288,7.15,19.7,25.59
convnext_tiny_384_in22ft1k,807.27,634.218,512,384,13.14,39.48,28.59
gmlp_b16_224,789.84,1296.449,1024,224,15.78,30.21,73.08
hrnet_w40,787.85,1299.728,1024,224,12.75,25.29,57.56
crossvit_base_240,787.17,975.639,768,240,21.22,36.33,105.03
hrnet_w44,771.15,1327.87,1024,224,14.94,26.92,67.06
swinv2_tiny_window16_256,763.4,670.672,512,256,6.68,39.02,28.35
mobilevitv2_150_384_in22ft1k,757.55,337.918,256,384,9.2,54.25,10.59
xcit_medium_24_p16_224_dist,748.7,1367.689,1024,224,16.13,31.71,84.4
xcit_medium_24_p16_224,748.18,1368.635,1024,224,16.13,31.71,84.4
tresnet_m_448,743.16,1377.885,1024,448,22.94,29.21,31.39
vit_large_r50_s32_224,742.19,1379.692,1024,224,19.58,24.41,328.99
hrnet_w48,738.63,1386.343,1024,224,17.34,28.56,77.47
vit_base_patch16_plus_240,738.11,1387.321,1024,240,27.41,33.08,117.56
sequencer2d_l,736.17,1390.978,1024,224,9.74,22.12,54.3
xcit_small_12_p16_384_dist,715.91,1430.327,1024,384,14.14,36.51,26.25
swinv2_small_window8_256,710.32,1441.594,1024,256,11.58,40.14,49.73
swin_s3_base_224,693.67,1476.198,1024,224,13.69,48.26,71.13
vit_small_patch16_384,692.4,1109.164,768,384,15.52,50.78,22.2
vit_relpos_base_patch16_plus_240,691.79,1480.194,1024,240,27.3,34.33,117.38
tnt_b_patch16_224,691.78,1480.223,1024,224,14.09,39.01,65.41
swinv2_cr_base_224,688.11,1488.125,1024,224,15.86,59.66,87.88
densenet264d_iabn,687.57,1489.287,1024,224,13.47,14.0,72.74
convit_base,685.88,1492.962,1024,224,17.52,31.77,86.54
swinv2_cr_base_ns_224,682.58,1500.17,1024,224,15.86,59.66,87.88
vit_base_patch16_rpn_224,667.73,1533.544,1024,224,17.49,23.75,86.54
densenet264,664.62,1540.716,1024,224,12.95,12.8,72.69
deit3_small_patch16_384,664.03,1156.564,768,384,15.52,50.78,22.21
poolformer_m48,663.83,1542.547,1024,224,11.59,29.17,73.47
deit3_small_patch16_384_in21ft1k,663.62,1157.274,768,384,15.52,50.78,22.21
efficientnet_b3_gn,662.87,386.187,256,320,2.14,28.83,11.73
dpn131,660.11,1551.238,1024,224,16.09,32.97,79.25
eca_nfnet_l1,655.87,1561.27,1024,320,14.92,34.42,41.41
vit_relpos_base_patch16_rpn_224,655.49,1562.186,1024,224,17.51,24.97,86.41
xcit_tiny_24_p8_224,650.45,1574.283,1024,224,9.21,45.39,12.11
xcit_tiny_24_p8_224_dist,649.22,1577.262,1024,224,9.21,45.39,12.11
xcit_nano_12_p8_384_dist,643.06,1592.369,1024,384,6.34,46.08,3.05
nest_base,629.02,813.95,512,224,17.96,53.39,67.72
volo_d2_224,627.91,1630.781,1024,224,14.34,41.34,58.68
mobilevitv2_175_384_in22ft1k,627.52,407.942,256,384,12.47,63.29,14.25
jx_nest_base,621.88,823.3,512,224,17.96,53.39,67.72
vit_small_r26_s32_384,619.54,619.804,384,384,10.43,29.85,36.47
senet154,618.82,1654.743,1024,224,20.77,38.69,115.09
gluon_senet154,618.51,1655.586,1024,224,20.77,38.69,115.09
legacy_senet154,618.16,1656.503,1024,224,20.77,38.69,115.09
xception71,616.97,829.852,512,299,18.09,69.92,42.34
vit_base_r50_s16_224,613.11,1670.152,1024,224,21.66,35.29,98.66
hrnet_w64,609.7,1679.491,1024,224,28.97,35.09,128.06
regnety_320,607.61,842.637,512,224,32.34,30.26,145.05
dpn107,606.08,1689.539,1024,224,18.38,33.46,86.92
regnetz_c16_evos,598.89,854.904,512,320,3.86,25.88,13.49
ecaresnet200d,592.5,1728.248,1024,256,20.0,43.15,64.69
seresnet200d,591.19,1732.085,1024,256,20.01,43.15,71.86
resnet152d,576.9,1774.999,1024,320,24.08,47.67,60.21
convnext_large,559.02,1831.761,1024,224,34.4,43.13,197.77
convnext_large_in22ft1k,558.96,1831.941,1024,224,34.4,43.13,197.77
regnety_160,558.21,687.896,384,288,26.37,38.07,83.59
efficientnet_b3_g8_gn,557.9,458.854,256,320,3.2,28.83,14.25
xcit_small_12_p8_224,546.6,1873.371,1024,224,18.69,47.21,26.21
xcit_small_12_p8_224_dist,546.45,1873.905,1024,224,18.69,47.21,26.21
resnext101_64x4d,541.68,1417.803,768,288,25.66,51.59,83.46
mobilevitv2_200_384_in22ft1k,527.08,364.262,192,384,16.24,72.34,18.45
halonet_h1,518.76,493.471,256,256,3.0,51.17,8.1
vit_large_patch32_384,517.18,1979.967,1024,384,45.31,43.86,306.63
seresnet152d,516.02,1984.399,1024,320,24.09,47.72,66.84
resnetrs152,512.78,1996.941,1024,320,24.34,48.14,86.62
swinv2_base_window8_256,507.32,1513.812,768,256,20.37,52.59,87.92
seresnext101_32x8d,503.19,1526.235,768,288,27.24,51.63,93.57
convnext_small_384_in22ft1k,494.64,1035.087,512,384,25.58,63.37,50.22
seresnext101d_32x8d,494.43,1553.287,768,288,27.64,52.95,93.59
swin_large_patch4_window7_224,478.67,1604.435,768,224,34.53,54.94,196.53
swinv2_small_window16_256,476.38,1074.753,512,256,12.82,66.29,49.73
regnetz_e8,474.49,1618.577,768,320,15.46,63.94,57.7
regnetx_320,471.27,814.799,384,224,31.81,36.3,107.81
ssl_resnext101_32x16d,471.02,1086.983,512,224,36.27,51.18,194.03
swsl_resnext101_32x16d,470.83,1087.428,512,224,36.27,51.18,194.03
ig_resnext101_32x16d,470.74,1087.624,512,224,36.27,51.18,194.03
mixer_l16_224,470.73,2175.315,1024,224,44.6,41.69,208.2
seresnextaa101d_32x8d,463.39,1657.351,768,288,28.51,56.44,93.59
seresnet269d,463.29,2210.273,1024,256,26.59,53.6,113.67
nf_regnet_b5,450.96,1135.344,512,456,11.7,61.95,49.74
efficientnetv2_m,449.82,2276.453,1024,416,18.6,67.5,54.14
volo_d3_224,439.99,2327.294,1024,224,20.78,60.09,86.33
efficientnet_b5,425.78,601.238,256,456,10.46,98.86,30.39
xcit_large_24_p16_224_dist,423.07,2420.403,1024,224,35.86,47.27,189.1
xcit_large_24_p16_224,422.98,2420.908,1024,224,35.86,47.27,189.1
xcit_tiny_12_p8_384_dist,419.35,2441.847,1024,384,14.13,69.14,6.71
resnet200d,417.0,2455.593,1024,320,31.25,67.33,64.69
efficientnetv2_rw_m,411.82,1864.879,768,416,21.49,79.62,53.24
tf_efficientnet_b5_ns,408.16,627.186,256,456,10.46,98.86,30.39
swinv2_cr_tiny_384,408.1,627.286,256,384,15.34,161.01,28.33
tf_efficientnet_b5,407.78,627.773,256,456,10.46,98.86,30.39
tf_efficientnet_b5_ap,407.68,627.936,256,456,10.46,98.86,30.39
swinv2_cr_large_224,405.25,1895.127,768,224,35.1,78.42,196.68
resnetv2_50x1_bitm,401.93,955.37,384,448,16.62,44.46,25.55
nfnet_f1,399.69,2561.946,1024,320,35.97,46.77,132.63
xcit_small_24_p16_384_dist,382.57,2676.633,1024,384,26.72,68.58,47.67
regnetz_d8_evos,376.87,2037.797,768,320,7.03,38.92,23.46
tresnet_l_448,371.52,2756.242,1024,448,43.5,47.56,55.99
vit_large_patch16_224,369.7,2769.802,1024,224,61.6,63.52,304.33
resnetrs200,368.58,2778.22,1024,320,31.51,67.81,93.21
convnext_xlarge_in22ft1k,368.02,1391.221,512,224,60.98,57.5,350.2
crossvit_15_dagger_408,366.37,698.731,256,408,21.45,95.05,28.5
vit_base_patch16_18x2_224,361.96,2829.064,1024,224,52.51,71.38,256.73
deit3_large_patch16_224,358.07,2859.733,1024,224,61.6,63.52,304.37
deit3_large_patch16_224_in21ft1k,357.9,2861.143,1024,224,61.6,63.52,304.37
dm_nfnet_f1,357.87,2146.026,768,320,35.97,46.77,132.63
tf_efficientnetv2_m,350.54,2190.896,768,480,24.76,89.84,54.14
tf_efficientnetv2_m_in21ft1k,350.14,2193.372,768,480,24.76,89.84,54.14
swinv2_base_window16_256,345.6,1111.087,384,256,22.02,84.71,87.92
swinv2_base_window12to16_192to256_22kft1k,345.47,1111.525,384,256,22.02,84.71,87.92
convnext_base_384_in22ft1k,344.56,1485.926,512,384,45.21,84.49,88.59
beit_large_patch16_224,342.32,2991.347,1024,224,61.6,63.52,304.43
eca_nfnet_l2,322.02,2384.947,768,384,30.05,68.28,56.72
volo_d1_384,293.04,1747.159,512,384,22.75,108.55,26.78
convmixer_768_32,292.83,3496.872,1024,224,19.55,25.95,21.11
resnetv2_152x2_bit_teacher,291.46,2634.992,768,224,46.95,45.11,236.34
deit_base_patch16_384,288.65,1330.327,384,384,55.54,101.56,86.86
vit_base_patch16_384,288.47,1331.141,384,384,55.54,101.56,86.86
resnest200e,288.19,1776.58,512,320,35.69,82.78,70.2
xcit_small_24_p8_224,286.12,3578.848,1024,224,35.81,90.78,47.63
xcit_small_24_p8_224_dist,286.06,3579.677,1024,224,35.81,90.78,47.63
deit_base_distilled_patch16_384,284.56,1349.413,384,384,55.65,101.82,87.63
volo_d4_224,282.61,3623.333,1024,224,44.34,80.22,192.96
deit3_base_patch16_384,277.81,1382.217,384,384,55.54,101.56,86.88
deit3_base_patch16_384_in21ft1k,277.78,1382.367,384,384,55.54,101.56,86.88
tresnet_xl_448,277.15,2771.052,768,448,60.65,61.31,78.44
nasnetalarge,276.88,1386.877,384,331,23.89,90.56,88.75
vit_large_patch14_224,271.51,3771.489,1024,224,81.08,88.79,304.2
cait_xxs24_384,269.82,3795.14,1024,384,9.63,122.66,12.03
crossvit_18_dagger_408,269.4,950.247,256,408,32.47,124.87,44.61
xcit_medium_24_p16_384_dist,269.2,2852.889,768,384,47.39,91.64,84.4
pnasnet5large,264.84,1449.925,384,331,25.04,92.89,86.06
resnetv2_101x1_bitm,252.59,1520.226,384,448,31.65,64.93,44.54
efficientnet_b6,252.26,507.392,128,528,19.4,167.39,43.04
swinv2_cr_small_384,250.03,1023.876,256,384,29.7,298.03,49.7
beit_base_patch16_384,247.68,1550.363,384,384,55.54,101.56,86.74
vit_large_r50_s32_384,246.17,1559.866,384,384,57.43,76.52,329.09
tf_efficientnet_b6_ns,242.42,527.986,128,528,19.4,167.39,43.04
tf_efficientnet_b6,242.34,528.179,128,528,19.4,167.39,43.04
tf_efficientnet_b6_ap,242.3,528.255,128,528,19.4,167.39,43.04
ecaresnet269d,241.69,4236.816,1024,352,50.25,101.25,102.09
resnetrs270,234.11,4373.986,1024,352,51.13,105.48,129.86
nfnet_f2,224.73,4556.614,1024,352,63.22,79.06,193.78
swin_base_patch4_window12_384,220.36,871.278,192,384,47.19,134.78,87.9
xcit_tiny_24_p8_384_dist,219.9,4656.678,1024,384,27.05,132.95,12.11
resmlp_big_24_224,218.18,4693.363,1024,224,100.23,87.31,129.14
resmlp_big_24_224_in22ft1k,217.68,4704.164,1024,224,100.23,87.31,129.14
resmlp_big_24_distilled_224,217.65,4704.831,1024,224,100.23,87.31,129.14
swinv2_large_window12to16_192to256_22kft1k,211.96,1207.756,256,256,47.81,121.53,196.74
efficientnetv2_l,206.63,2477.808,512,480,56.4,157.99,118.52
tf_efficientnetv2_l,204.52,2503.355,512,480,56.4,157.99,118.52
tf_efficientnetv2_l_in21ft1k,204.48,2503.917,512,480,56.4,157.99,118.52
ig_resnext101_32x32d,202.59,1263.594,256,224,87.29,91.12,468.53
xcit_medium_24_p8_224,202.12,5066.293,1024,224,63.53,121.23,84.32
xcit_medium_24_p8_224_dist,201.88,5072.196,1024,224,63.53,121.23,84.32
dm_nfnet_f2,200.18,3836.576,768,352,63.22,79.06,193.78
convnext_large_384_in22ft1k,190.55,1343.472,256,384,101.1,126.74,197.77
vit_base_patch8_224,188.25,1359.85,256,224,78.22,161.69,86.58
volo_d5_224,187.56,5459.662,1024,224,72.4,118.11,295.46
cait_xs24_384,186.33,4121.716,768,384,19.28,183.98,26.67
xcit_small_12_p8_384_dist,183.57,2091.823,384,384,54.92,138.29,26.21
eca_nfnet_l3,182.91,2799.141,512,448,52.55,118.4,72.04
cait_xxs36_384,180.41,5675.791,1024,384,14.35,183.7,17.37
swinv2_cr_base_384,178.38,1435.085,256,384,50.57,333.68,87.88
vit_base_resnet50_384,177.85,2159.087,384,384,67.43,135.03,98.95
vit_base_r50_s16_384,177.6,2162.196,384,384,67.43,135.03,98.95
swinv2_cr_huge_224,175.47,2188.347,384,224,115.97,121.08,657.83
convmixer_1536_20,167.1,6128.044,1024,224,48.68,33.03,51.63
volo_d2_384,164.75,1553.889,256,384,46.17,184.51,58.87
resnetrs350,156.77,4898.75,768,384,77.59,154.74,163.96
xcit_large_24_p16_384_dist,154.33,3317.602,512,384,105.35,137.17,189.1
vit_huge_patch14_224,146.32,6998.359,1024,224,167.4,139.41,632.05
efficientnet_b7,145.11,661.558,96,600,38.33,289.94,66.35
cait_s24_384,144.99,3531.336,512,384,32.17,245.31,47.06
deit3_huge_patch14_224,142.26,7197.843,1024,224,167.4,139.41,632.13
deit3_huge_patch14_224_in21ft1k,142.17,7202.758,1024,224,167.4,139.41,632.13
tf_efficientnet_b7_ns,140.64,682.566,96,600,38.33,289.94,66.35
tf_efficientnet_b7_ap,140.61,682.704,96,600,38.33,289.94,66.35
tf_efficientnet_b7,140.6,682.756,96,600,38.33,289.94,66.35
efficientnetv2_xl,139.56,2751.573,384,512,93.85,247.32,208.12
tf_efficientnetv2_xl_in21ft1k,138.42,2774.117,384,512,93.85,247.32,208.12
resnest269e,135.65,2830.833,384,416,77.69,171.98,110.93
swin_large_patch4_window12_384,130.35,981.936,128,384,104.08,202.16,196.74
convnext_xlarge_384_in22ft1k,125.25,1532.9,192,384,179.2,168.99,350.2
nfnet_f3,124.74,4104.555,512,416,115.58,141.78,254.92
ig_resnext101_32x48d,118.28,1623.193,192,224,153.57,131.06,828.41
xcit_large_24_p8_224,115.22,4443.765,512,224,141.23,181.56,188.93
xcit_large_24_p8_224_dist,115.18,4445.056,512,224,141.23,181.56,188.93
resnetrs420,112.12,6849.78,768,416,108.45,213.79,191.89
dm_nfnet_f3,110.18,4647.097,512,416,115.58,141.78,254.92
swinv2_cr_large_384,108.04,1184.75,128,384,108.95,404.96,196.68
resnetv2_50x3_bitm,102.09,1253.798,128,448,145.7,133.37,217.32
resnetv2_152x2_bit_teacher_384,98.91,2588.163,256,384,136.16,132.56,236.34
vit_large_patch16_384,97.45,2626.88,256,384,191.21,270.24,304.72
cait_s36_384,97.05,5275.469,512,384,47.99,367.4,68.37
xcit_small_24_p8_384_dist,96.34,3985.916,384,384,105.24,265.91,47.63
vit_giant_patch14_224,95.73,8022.929,768,224,267.18,192.64,1012.61
deit3_large_patch16_384,94.64,2704.996,256,384,191.21,270.24,304.76
deit3_large_patch16_384_in21ft1k,94.52,2708.314,256,384,191.21,270.24,304.76
swinv2_base_window12to24_192to384_22kft1k,94.37,678.174,64,384,55.25,280.36,87.92
efficientnet_b8,91.29,1051.594,96,672,63.48,442.89,87.41
tf_efficientnet_b8,88.95,1079.277,96,672,63.48,442.89,87.41
tf_efficientnet_b8_ap,88.84,1080.533,96,672,63.48,442.89,87.41
beit_large_patch16_384,84.67,3023.634,256,384,191.21,270.24,305.0
resnetv2_152x2_bitm,73.09,2626.956,192,448,184.99,180.43,236.34
volo_d3_448,72.41,2651.496,192,448,96.33,446.83,86.63
nfnet_f4,69.91,5493.031,384,512,216.26,262.26,316.07
xcit_medium_24_p8_384_dist,67.93,3768.466,256,384,186.67,354.73,84.32
dm_nfnet_f4,62.55,4092.528,256,512,216.26,262.26,316.07
resnetv2_101x3_bitm,61.05,2096.759,128,448,280.33,194.78,387.93
swinv2_large_window12to24_192to384_22kft1k,59.71,803.821,48,384,116.15,407.83,196.74
vit_gigantic_patch14_224,57.59,8890.782,512,224,483.95,275.37,1844.44
tf_efficientnet_l2_ns_475,56.35,1135.833,64,475,172.11,609.89,480.31
volo_d4_448,52.92,2418.622,128,448,197.13,527.35,193.41
swinv2_cr_giant_224,50.53,2532.906,128,224,483.85,309.15,2598.76
nfnet_f5,49.64,5157.064,256,544,290.97,349.71,377.21
swinv2_cr_huge_384,47.06,1360.056,64,384,352.04,583.18,657.94
dm_nfnet_f5,44.17,5795.363,256,544,290.97,349.71,377.21
xcit_large_24_p8_384_dist,38.64,4968.379,192,384,415.0,531.82,188.93
nfnet_f6,37.99,6738.223,256,576,378.69,452.2,438.36
volo_d5_448,36.49,3507.831,128,448,315.06,737.92,295.91
beit_large_patch16_512,33.88,2833.282,96,512,362.24,656.39,305.67
dm_nfnet_f6,33.83,7567.962,256,576,378.69,452.2,438.36
cait_m36_384,31.72,8071.786,256,384,173.11,734.81,271.22
nfnet_f7,30.38,8426.213,256,608,480.39,570.85,499.5
volo_d5_512,25.58,3752.221,96,512,425.09,1105.37,296.09
resnetv2_152x4_bitm,22.67,4234.474,96,480,844.84,414.26,936.53
efficientnet_l2,20.51,1169.975,24,800,479.12,1707.39,480.31
tf_efficientnet_l2_ns,20.15,1191.261,24,800,479.12,1707.39,480.31
swinv2_cr_giant_384,14.62,2188.205,32,384,1450.71,1394.86,2598.76
cait_m48_448,13.47,9503.031,128,448,329.41,1708.23,356.46