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

model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,infer_gmacs,infer_macts,param_count
tinynet_e,72737.62,14.068,1024,106,0.03,0.69,2.04
mobilenetv3_small_050,54822.3,18.668,1024,224,0.03,0.92,1.59
lcnet_035,53629.35,19.084,1024,224,0.03,1.04,1.64
lcnet_050,45492.41,22.499,1024,224,0.05,1.26,1.88
mobilenetv3_small_075,39215.51,26.102,1024,224,0.05,1.3,2.04
tinynet_d,37346.61,27.409,1024,152,0.05,1.42,2.34
mobilenetv3_small_100,36280.34,28.214,1024,224,0.06,1.42,2.54
tf_mobilenetv3_small_minimal_100,31726.33,32.265,1024,224,0.06,1.41,2.04
tf_mobilenetv3_small_075,31503.43,32.494,1024,224,0.05,1.3,2.04
lcnet_075,29817.69,34.332,1024,224,0.1,1.99,2.36
tf_mobilenetv3_small_100,29444.91,34.767,1024,224,0.06,1.42,2.54
mnasnet_small,25354.86,40.376,1024,224,0.07,2.16,2.03
lcnet_100,24134.76,42.417,1024,224,0.16,2.52,2.95
regnetx_002,23983.4,42.686,1024,224,0.2,2.16,2.68
levit_128s,22675.73,45.148,1024,224,0.31,1.88,7.78
regnety_002,21709.37,47.158,1024,224,0.2,2.17,3.16
mobilenetv2_035,21673.44,47.236,1024,224,0.07,2.86,1.68
mnasnet_050,20010.27,51.163,1024,224,0.11,3.07,2.22
ghostnet_050,18932.82,54.075,1024,224,0.05,1.77,2.59
tinynet_c,18428.42,55.556,1024,184,0.11,2.87,2.46
semnasnet_050,17215.18,59.471,1024,224,0.11,3.44,2.08
mobilenetv2_050,17194.94,59.542,1024,224,0.1,3.64,1.97
cs3darknet_focus_s,16189.76,63.24,1024,256,0.69,2.7,3.27
lcnet_150,15557.15,65.811,1024,224,0.34,3.79,4.5
cs3darknet_s,15369.47,66.615,1024,256,0.72,2.97,3.28
levit_128,15337.67,66.754,1024,224,0.41,2.71,9.21
gernet_s,15288.68,66.966,1024,224,0.75,2.65,8.17
mobilenetv3_large_075,14216.3,72.019,1024,224,0.16,4.0,3.99
mixer_s32_224,14182.92,72.188,1024,224,1.0,2.28,19.1
vit_tiny_r_s16_p8_224,14125.39,72.482,1024,224,0.44,2.06,6.34
resnet10t,14112.07,72.551,1024,224,1.1,2.43,5.44
vit_small_patch32_224,13799.47,74.195,1024,224,1.15,2.5,22.88
regnetx_004,13610.2,75.225,1024,224,0.4,3.14,5.16
levit_192,13524.14,75.706,1024,224,0.66,3.2,10.95
mobilenetv3_rw,12956.58,79.021,1024,224,0.23,4.41,5.48
hardcorenas_a,12803.61,79.966,1024,224,0.23,4.38,5.26
mobilenetv3_large_100,12749.93,80.304,1024,224,0.23,4.41,5.48
mnasnet_075,12532.36,81.697,1024,224,0.23,4.77,3.17
tf_mobilenetv3_large_075,12186.51,84.017,1024,224,0.16,4.0,3.99
tinynet_b,12083.18,84.735,1024,188,0.21,4.44,3.73
regnety_004,11918.36,85.906,1024,224,0.41,3.89,4.34
tf_mobilenetv3_large_minimal_100,11715.94,87.392,1024,224,0.22,4.4,3.92
hardcorenas_c,11548.05,88.662,1024,224,0.28,5.01,5.52
hardcorenas_b,11510.71,88.949,1024,224,0.26,5.09,5.18
ese_vovnet19b_slim_dw,11501.95,89.018,1024,224,0.4,5.28,1.9
ghostnet_100,11332.61,90.348,1024,224,0.15,3.55,5.18
mnasnet_100,11138.43,91.923,1024,224,0.33,5.46,4.38
gluon_resnet18_v1b,11098.78,92.252,1024,224,1.82,2.48,11.69
resnet18,11083.1,92.383,1024,224,1.82,2.48,11.69
swsl_resnet18,11062.48,92.555,1024,224,1.82,2.48,11.69
ssl_resnet18,11061.11,92.565,1024,224,1.82,2.48,11.69
tf_mobilenetv3_large_100,11018.56,92.922,1024,224,0.23,4.41,5.48
mnasnet_b1,10993.58,93.135,1024,224,0.33,5.46,4.38
hardcorenas_d,10910.47,93.843,1024,224,0.3,4.93,7.5
semnasnet_075,10898.09,93.951,1024,224,0.23,5.54,2.91
mobilenetv2_075,10893.76,93.988,1024,224,0.22,5.86,2.64
seresnet18,10385.56,98.588,1024,224,1.82,2.49,11.78
legacy_seresnet18,10064.41,101.734,1024,224,1.82,2.49,11.78
spnasnet_100,10009.21,102.296,1024,224,0.35,6.03,4.42
tf_efficientnetv2_b0,9930.95,103.1,1024,224,0.73,4.77,7.14
levit_256,9858.1,103.863,1024,224,1.13,4.23,18.89
tinynet_a,9720.11,105.337,1024,192,0.35,5.41,6.19
hardcorenas_f,9714.91,105.393,1024,224,0.35,5.57,8.2
semnasnet_100,9623.78,106.393,1024,224,0.32,6.23,3.89
mnasnet_a1,9623.77,106.393,1024,224,0.32,6.23,3.89
mobilenetv2_100,9598.91,106.667,1024,224,0.31,6.68,3.5
hardcorenas_e,9571.87,106.966,1024,224,0.35,5.65,8.07
dla46_c,9568.4,107.007,1024,224,0.58,4.5,1.3
efficientnet_lite0,9361.14,109.377,1024,224,0.4,6.74,4.65
fbnetc_100,9352.03,109.484,1024,224,0.4,6.51,5.57
resnet18d,9334.83,109.687,1024,224,2.06,3.29,11.71
ese_vovnet19b_slim,9109.47,112.4,1024,224,1.69,3.52,3.17
regnety_006,9097.63,112.542,1024,224,0.61,4.33,6.06
regnetz_005,8607.49,118.955,1024,224,0.52,5.86,7.12
xcit_nano_12_p16_224_dist,8577.2,119.375,1024,224,0.56,4.17,3.05
xcit_nano_12_p16_224,8554.61,119.689,1024,224,0.56,4.17,3.05
levit_256d,8382.88,122.143,1024,224,1.4,4.93,26.21
regnetx_006,8379.52,122.192,1024,224,0.61,3.98,6.2
ghostnet_130,8278.59,123.681,1024,224,0.24,4.6,7.36
tf_efficientnet_lite0,8080.51,126.714,1024,224,0.4,6.74,4.65
efficientnet_b0,7965.17,128.548,1024,224,0.4,6.75,5.29
mnasnet_140,7779.42,131.618,1024,224,0.6,7.71,7.12
deit_tiny_distilled_patch16_224,7467.68,137.113,1024,224,1.27,6.01,5.91
rexnetr_100,7464.12,137.179,1024,224,0.43,7.72,4.88
deit_tiny_patch16_224,7430.15,137.806,1024,224,1.26,5.97,5.72
resnet14t,7429.68,137.815,1024,224,1.69,5.8,10.08
vit_tiny_patch16_224,7424.93,137.902,1024,224,1.26,5.97,5.72
regnetx_008,7394.88,138.463,1024,224,0.81,5.15,7.26
mobilenetv2_110d,7247.12,141.287,1024,224,0.45,8.71,4.52
hrnet_w18_small,7232.93,141.561,1024,224,1.61,5.72,13.19
tf_efficientnet_b0,7016.18,145.938,1024,224,0.4,6.75,5.29
regnety_008,6938.46,147.571,1024,224,0.81,5.25,6.26
mobilevitv2_050,6848.87,149.503,1024,256,0.48,8.04,1.37
pit_ti_distilled_224,6811.68,150.317,1024,224,0.71,6.23,5.1
pit_ti_224,6784.24,150.927,1024,224,0.7,6.19,4.85
gernet_m,6679.85,153.286,1024,224,3.02,5.24,21.14
efficientnet_b1_pruned,6642.37,154.15,1024,240,0.4,6.21,6.33
resnet34,6496.42,157.614,1024,224,3.67,3.74,21.8
gluon_resnet34_v1b,6494.61,157.658,1024,224,3.67,3.74,21.8
tv_resnet34,6481.01,157.989,1024,224,3.67,3.74,21.8
tf_efficientnetv2_b1,6476.52,158.098,1024,240,1.21,7.34,8.14
semnasnet_140,6454.5,158.637,1024,224,0.6,8.87,6.11
nf_regnet_b0,6452.24,158.693,1024,256,0.64,5.58,8.76
ese_vovnet19b_dw,6335.13,161.627,1024,224,1.34,8.25,6.54
mobilenetv2_140,6271.56,163.266,1024,224,0.6,9.57,6.11
rexnet_100,6226.48,164.447,1024,224,0.41,7.44,4.8
efficientnet_lite1,6187.91,165.472,1024,240,0.62,10.14,5.42
efficientnet_es_pruned,6115.4,167.434,1024,224,1.81,8.73,5.44
efficientnet_es,6115.12,167.443,1024,224,1.81,8.73,5.44
visformer_tiny,6103.09,167.772,1024,224,1.27,5.72,10.32
seresnet34,6058.13,169.019,1024,224,3.67,3.74,21.96
fbnetv3_b,6018.76,170.124,1024,256,0.55,9.1,8.6
selecsls42,5953.76,171.98,1024,224,2.94,4.62,30.35
selecsls42b,5921.2,172.924,1024,224,2.98,4.62,32.46
resnet26,5895.21,173.69,1024,224,2.36,7.35,16.0
edgenext_xx_small,5893.72,173.732,1024,288,0.33,4.21,1.33
levit_384,5880.4,174.126,1024,224,2.36,6.26,39.13
resnet34d,5865.98,174.555,1024,224,3.91,4.54,21.82
legacy_seresnet34,5850.24,175.025,1024,224,3.67,3.74,21.96
dla34,5827.3,175.712,1024,224,3.07,5.02,15.74
tf_efficientnet_es,5781.29,177.112,1024,224,1.81,8.73,5.44
cs3darknet_focus_m,5721.39,178.967,1024,288,2.51,6.19,9.3
resnetblur18,5636.65,181.657,1024,224,2.34,3.39,11.69
rexnetr_130,5590.0,183.173,1024,224,0.68,9.81,7.61
mobilevit_xxs,5524.87,185.333,1024,256,0.42,8.34,1.27
tf_efficientnet_lite1,5524.68,185.339,1024,240,0.62,10.14,5.42
cs3darknet_m,5478.07,186.916,1024,288,2.63,6.69,9.31
convnext_atto,5460.54,187.516,1024,288,0.91,6.3,3.7
xcit_tiny_12_p16_224_dist,5457.72,187.611,1024,224,1.24,6.29,6.72
xcit_tiny_12_p16_224,5456.63,187.649,1024,224,1.24,6.29,6.72
skresnet18,5413.1,189.159,1024,224,1.82,3.24,11.96
darknet17,5401.37,189.571,1024,256,3.26,7.18,14.3
mixnet_s,5392.58,189.878,1024,224,0.25,6.25,4.13
resmlp_12_224,5366.15,190.814,1024,224,3.01,5.5,15.35
resmlp_12_distilled_224,5364.91,190.857,1024,224,3.01,5.5,15.35
convnext_atto_ols,5288.94,193.6,1024,288,0.96,6.8,3.7
vit_base_patch32_clip_224,5280.68,193.903,1024,224,4.41,5.01,88.22
vit_base_patch32_224,5280.52,193.908,1024,224,4.41,5.01,88.22
pit_xs_distilled_224,5272.13,194.218,1024,224,1.41,7.76,11.0
pit_xs_224,5271.0,194.259,1024,224,1.4,7.71,10.62
repvgg_b0,5252.66,194.939,1024,224,3.41,6.15,15.82
mixer_b32_224,5221.71,196.094,1024,224,3.24,6.29,60.29
pvt_v2_b0,5210.31,196.521,1024,224,0.57,7.99,3.67
resnetaa34d,5171.78,197.986,1024,224,4.43,5.07,21.82
selecsls60,5160.83,198.407,1024,224,3.59,5.52,30.67
selecsls60b,5119.51,200.008,1024,224,3.63,5.52,32.77
mobilenetv2_120d,5111.95,200.304,1024,224,0.69,11.97,5.83
resnet26d,5108.26,200.449,1024,224,2.6,8.15,16.01
gmixer_12_224,5064.97,202.162,1024,224,2.67,7.26,12.7
gmlp_ti16_224,5007.93,204.464,1024,224,1.34,7.55,5.87
mixer_s16_224,4998.69,204.842,1024,224,3.79,5.97,18.53
tf_mixnet_s,4989.18,205.231,1024,224,0.25,6.25,4.13
efficientnet_b0_g16_evos,4930.67,207.667,1024,224,1.01,7.42,8.11
rexnetr_150,4900.22,208.959,1024,224,0.89,11.13,9.78
fbnetv3_d,4881.14,209.776,1024,256,0.68,11.1,10.31
darknet21,4850.41,211.105,1024,256,3.93,7.47,20.86
nf_resnet26,4816.48,212.591,1024,224,2.41,7.35,16.0
efficientnet_lite2,4781.65,214.14,1024,260,0.89,12.9,6.09
convnext_femto,4749.12,215.607,1024,288,1.3,7.56,5.22
tf_efficientnetv2_b2,4718.26,217.018,1024,260,1.72,9.84,10.1
sedarknet21,4656.51,219.895,1024,256,3.93,7.47,20.95
dla46x_c,4636.77,220.831,1024,224,0.54,5.66,1.07
convnext_femto_ols,4618.33,221.714,1024,288,1.35,8.06,5.23
resnext26ts,4603.25,222.441,1024,256,2.43,10.52,10.3
efficientformer_l1,4566.14,224.248,1024,224,1.3,5.53,12.29
dpn48b,4506.78,227.201,1024,224,1.69,8.92,9.13
crossvit_tiny_240,4481.69,228.473,1024,240,1.57,9.08,7.01
dla60x_c,4459.27,229.622,1024,224,0.59,6.01,1.32
eca_resnext26ts,4456.63,229.759,1024,256,2.43,10.52,10.3
seresnext26ts,4453.99,229.896,1024,256,2.43,10.52,10.39
legacy_seresnext26_32x4d,4441.15,230.558,1024,224,2.49,9.39,16.79
gernet_l,4396.56,232.898,1024,256,4.57,8.0,31.08
mobilevitv2_075,4393.87,233.041,1024,256,1.05,12.06,2.87
gcresnext26ts,4384.92,233.516,1024,256,2.43,10.53,10.48
tf_efficientnet_b1,4370.6,234.282,1024,240,0.71,10.88,7.79
tf_efficientnet_lite2,4293.9,238.467,1024,260,0.89,12.9,6.09
rexnet_130,4262.16,240.243,1024,224,0.68,9.71,7.56
efficientnet_b1,4239.44,241.53,1024,256,0.77,12.22,7.79
vit_small_patch32_384,4239.1,241.55,1024,384,3.45,8.25,22.92
crossvit_9_240,4212.37,243.082,1024,240,1.85,9.52,8.55
crossvit_9_dagger_240,4095.03,250.049,1024,240,1.99,9.97,8.78
nf_ecaresnet26,4091.86,250.24,1024,224,2.41,7.36,16.0
nf_seresnet26,4088.47,250.449,1024,224,2.41,7.36,17.4
efficientnet_cc_b0_8e,4076.51,251.183,1024,224,0.42,9.42,24.01
efficientnet_cc_b0_4e,4073.3,251.382,1024,224,0.41,9.42,13.31
ecaresnet50d_pruned,4055.39,252.492,1024,224,2.53,6.43,19.94
efficientnet_b2_pruned,4030.92,254.025,1024,260,0.73,9.13,8.31
ecaresnext50t_32x4d,4018.73,254.796,1024,224,2.7,10.09,15.41
ecaresnext26t_32x4d,4017.09,254.9,1024,224,2.7,10.09,15.41
seresnext26t_32x4d,4014.43,255.069,1024,224,2.7,10.09,16.81
seresnext26tn_32x4d,4014.36,255.074,1024,224,2.7,10.09,16.81
repvgg_a2,3987.84,256.77,1024,224,5.7,6.26,28.21
poolformer_s12,3982.67,257.103,1024,224,1.82,5.53,11.92
seresnext26d_32x4d,3979.57,257.303,1024,224,2.73,10.19,16.81
vit_tiny_r_s16_p8_384,3963.05,258.374,1024,384,1.34,6.49,6.36
resnet26t,3939.46,259.923,1024,256,3.35,10.52,16.01
nf_regnet_b1,3911.64,261.772,1024,288,1.02,9.2,10.22
rexnet_150,3881.93,263.775,1024,224,0.9,11.21,9.73
nf_regnet_b2,3879.78,263.921,1024,272,1.22,9.27,14.31
resnetv2_50,3865.49,264.896,1024,224,4.11,11.11,25.55
regnetx_016,3852.41,265.794,1024,224,1.62,7.93,9.19
tf_efficientnet_cc_b0_4e,3812.08,268.608,1024,224,0.41,9.42,13.31
tf_efficientnet_cc_b0_8e,3803.67,269.202,1024,224,0.42,9.42,24.01
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
vgg13_bn,1879.72,544.749,1024,224,11.33,12.25,133.05
mixnet_xl,1872.46,546.86,1024,224,0.93,14.57,11.9
res2net50_26w_6s,1870.88,547.321,1024,224,6.33,15.28,37.05
ecaresnet101d,1869.88,547.616,1024,224,8.08,17.07,44.57
densenet201,1869.57,547.706,1024,224,4.34,7.85,20.01
nf_resnet101,1858.48,550.976,1024,224,8.01,16.23,44.55
coatnet_0_224,1857.28,275.661,512,224,4.58,24.01,25.04
pvt_v2_b2,1854.85,552.053,1024,224,4.05,27.53,25.36
crossvit_15_dagger_240,1850.69,553.295,1024,240,6.13,20.43,28.21
resmlp_36_224,1846.41,554.574,1024,224,8.91,16.33,44.69
resmlp_36_distilled_224,1845.04,554.99,1024,224,8.91,16.33,44.69
resnet61q,1841.84,555.954,1024,288,9.87,21.52,36.85
swin_s3_tiny_224,1817.5,563.398,1024,224,4.64,19.13,28.33
cait_xxs24_224,1796.55,569.968,1024,224,2.53,20.29,11.96
cs3darknet_x,1789.33,572.268,1024,288,10.6,14.36,35.05
vit_medium_patch16_gap_240,1785.54,573.481,1024,240,9.22,18.81,44.4
nf_resnet50,1784.84,573.708,1024,288,6.88,18.37,25.56
resnet50_gn,1764.31,580.385,1024,224,4.14,11.11,25.56
mixer_b16_224_miil,1761.45,581.327,1024,224,12.62,14.53,59.88
mixer_b16_224,1759.76,581.885,1024,224,12.62,14.53,59.88
resnetblur101d,1757.96,582.482,1024,224,9.12,17.94,44.57
eca_nfnet_l0,1726.58,593.068,1024,288,7.12,17.29,24.14
nfnet_l0,1721.83,594.705,1024,288,7.13,17.29,35.07
vit_large_patch32_224,1717.59,596.169,1024,224,15.41,13.32,327.9
vgg16,1717.44,596.224,1024,224,15.47,13.56,138.36
regnetz_c16,1710.89,598.505,1024,320,3.92,25.88,13.46
pvt_v2_b2_li,1709.89,598.855,1024,224,3.91,27.6,22.55
resnest50d_1s4x24d,1705.52,600.391,1024,224,4.43,13.57,25.68
coat_lite_small,1704.55,600.733,1024,224,3.96,22.09,19.84
resnetv2_50d_frn,1697.1,603.368,1024,224,4.33,11.92,25.59
cs3sedarknet_x,1689.8,605.975,1024,288,10.6,14.37,35.4
seresnext101_32x4d,1687.65,606.747,1024,224,8.02,21.26,48.96
gluon_seresnext101_32x4d,1687.1,606.945,1024,224,8.02,21.26,48.96
legacy_seresnext101_32x4d,1684.69,607.813,1024,224,8.02,21.26,48.96
regnetv_040,1682.92,608.454,1024,288,6.6,20.3,20.64
mobilevitv2_175,1677.66,457.769,768,256,5.54,28.13,14.25
regnety_040,1677.03,610.59,1024,288,6.61,20.3,20.65
mobilevitv2_175_in22ft1k,1677.0,457.949,768,256,5.54,28.13,14.25
convnext_tiny_hnf,1676.16,610.908,1024,288,7.39,22.21,28.59
res2net101_26w_4s,1675.37,611.195,1024,224,8.1,18.45,45.21
vit_tiny_patch16_384,1665.76,614.72,1024,384,4.7,25.39,5.79
sequencer2d_s,1661.32,616.362,1024,224,4.96,11.31,27.65
ese_vovnet39b_evos,1661.21,616.404,1024,224,7.07,6.74,24.58
vit_base_patch32_384,1649.27,620.868,1024,384,13.06,16.5,88.3
vit_base_patch32_clip_384,1648.64,621.105,1024,384,13.06,16.5,88.3
mixer_l32_224,1645.23,622.393,1024,224,11.27,19.86,206.94
convnext_tiny,1642.14,623.562,1024,288,7.39,22.21,28.59
botnet50ts_256,1639.64,312.25,512,256,5.54,22.23,22.74
swinv2_cr_tiny_224,1630.02,628.199,1024,224,4.66,28.45,28.33
resnetv2_50d_evob,1627.44,629.196,1024,224,4.33,11.92,25.59
twins_pcpvt_base,1615.12,633.996,1024,224,6.68,25.25,43.83
resnetv2_152,1614.43,634.268,1024,224,11.55,22.56,60.19
hrnet_w32,1605.06,637.96,1024,224,8.97,22.02,41.23
swinv2_cr_tiny_ns_224,1600.43,639.811,1024,224,4.66,28.45,28.33
xception41p,1598.79,480.351,768,299,9.25,39.86,26.91
tv_resnet152,1582.54,647.049,1024,224,11.56,22.56,60.19
gluon_resnet152_v1b,1581.57,647.444,1024,224,11.56,22.56,60.19
resnet152,1581.02,647.671,1024,224,11.56,22.56,60.19
xception,1579.88,648.138,1024,299,8.4,35.83,22.86
halo2botnet50ts_256,1572.75,651.076,1024,256,5.02,21.78,22.64
res2net50_26w_8s,1568.85,652.695,1024,224,8.37,17.95,48.4
vit_medium_patch16_gap_256,1564.22,654.626,1024,256,10.59,22.15,38.86
resnetv2_152d,1557.03,657.648,1024,224,11.8,23.36,60.2
efficientnet_el_pruned,1555.14,658.449,1024,300,8.0,30.7,10.59
maxvit_rmlp_nano_rw_256,1551.85,659.845,1024,256,4.47,31.92,15.5
regnetx_064,1550.52,660.413,1024,224,6.49,16.37,26.21
efficientnet_el,1549.97,660.646,1024,300,8.0,30.7,10.59
gluon_resnet152_v1c,1548.96,661.078,1024,224,11.8,23.36,60.21
nf_ecaresnet101,1546.58,662.091,1024,224,8.01,16.27,44.55
nf_seresnet101,1539.38,665.191,1024,224,8.02,16.27,49.33
mvitv2_tiny,1537.54,665.985,1024,224,4.7,21.16,24.17
nfnet_f0,1525.01,671.456,1024,256,12.62,18.05,71.49
vgg16_bn,1523.86,671.963,1024,224,15.5,13.56,138.37
cs3edgenet_x,1521.21,673.136,1024,288,14.59,16.36,47.82
gluon_resnet152_v1d,1520.11,673.621,1024,224,11.8,23.36,60.21
maxvit_nano_rw_256,1517.43,674.812,1024,256,4.46,30.28,15.45
tf_efficientnet_el,1506.16,679.862,1024,300,8.0,30.7,10.59
convnextv2_nano,1500.71,511.746,768,288,4.06,13.84,15.62
resnest50d,1492.63,686.022,1024,224,5.4,14.36,27.48
ese_vovnet99b,1489.17,687.617,1024,224,16.51,11.27,63.2
dla169,1471.11,696.059,1024,224,11.6,20.2,53.39
regnety_032,1467.85,697.604,1024,288,5.29,18.61,19.44
skresnext50_32x4d,1463.28,699.785,1024,224,4.5,17.18,27.48
xcit_tiny_12_p8_224_dist,1458.7,701.981,1024,224,4.81,23.6,6.71
xcit_tiny_12_p8_224,1458.23,702.211,1024,224,4.81,23.6,6.71
convit_small,1457.54,702.541,1024,224,5.76,17.87,27.78
mobilevitv2_200_in22ft1k,1456.59,527.247,768,256,7.22,32.15,18.45
mobilevitv2_200,1456.02,527.451,768,256,7.22,32.15,18.45
ecaresnet50t,1438.32,711.929,1024,320,8.82,24.13,25.57
gluon_resnet152_v1s,1432.22,714.961,1024,224,12.92,24.96,60.32
nest_tiny,1415.33,542.618,768,224,5.83,25.48,17.06
regnety_040s_gn,1412.65,724.867,1024,224,4.03,12.29,20.65
vgg19,1393.71,183.67,256,224,19.63,14.86,143.67
jx_nest_tiny,1389.62,552.657,768,224,5.83,25.48,17.06
legacy_seresnet152,1383.83,739.96,1024,224,11.33,22.08,66.82
densenet161,1376.52,743.891,1024,224,7.79,11.06,28.68
poolformer_s36,1370.67,747.069,1024,224,5.0,15.82,30.86
vit_small_resnet50d_s16_224,1367.59,748.748,1024,224,13.48,24.82,57.53
twins_svt_base,1362.65,751.463,1024,224,8.59,26.33,56.07
seresnet152,1361.7,751.99,1024,224,11.57,22.61,66.82
xception41,1356.44,566.173,768,299,9.28,39.86,26.97
maxvit_tiny_rw_224,1350.45,758.254,1024,224,5.11,33.11,29.06
crossvit_18_240,1348.85,759.154,1024,240,9.05,26.26,43.27
maxxvit_rmlp_nano_rw_256,1347.73,759.767,1024,256,4.37,26.05,16.78
efficientnet_lite4,1343.74,571.528,768,380,4.04,45.66,13.01
gcvit_tiny,1339.65,764.364,1024,224,4.79,29.82,28.22
pvt_v2_b3,1325.92,772.282,1024,224,6.92,37.7,45.24
crossvit_18_dagger_240,1313.78,779.419,1024,240,9.5,27.03,44.27
volo_d1_224,1312.37,780.255,1024,224,6.94,24.43,26.63
xcit_small_24_p16_224_dist,1307.3,783.278,1024,224,9.1,23.64,47.67
tresnet_m,1305.71,784.234,1024,224,5.74,7.31,31.39
inception_v4,1305.41,784.412,1024,299,12.28,15.09,42.68
repvgg_b2,1305.22,784.529,1024,224,20.45,12.9,89.02
xcit_small_24_p16_224,1303.71,785.433,1024,224,9.1,23.64,47.67
sequencer2d_m,1295.72,790.281,1024,224,6.55,14.26,38.31
edgenext_base,1283.77,797.633,1024,320,6.01,24.32,18.51
hrnet_w30,1280.53,799.653,1024,224,8.15,21.21,37.71
dm_nfnet_f0,1275.46,802.834,1024,256,12.62,18.05,71.49
coatnet_rmlp_1_rw_224,1268.37,807.322,1024,224,7.85,35.47,41.69
maxxvitv2_nano_rw_256,1259.7,812.877,1024,256,6.26,23.05,23.7
efficientnetv2_s,1254.49,816.255,1024,384,8.44,35.77,21.46
vgg19_bn,1246.52,205.36,256,224,19.66,14.86,143.68
nf_regnet_b4,1235.79,828.604,1024,384,4.7,28.61,30.21
swin_small_patch4_window7_224,1235.74,828.641,1024,224,8.77,27.47,49.61
tf_efficientnet_lite4,1232.22,623.25,768,380,4.04,45.66,13.01
regnetz_d32,1223.51,836.919,1024,320,9.33,37.08,27.58
mixnet_xxl,1219.27,629.871,768,224,2.04,23.43,23.96
tf_efficientnetv2_s,1219.16,839.906,1024,384,8.44,35.77,21.46
deit_base_patch16_224,1213.08,844.121,1024,224,17.58,23.9,86.57
deit_base_distilled_patch16_224,1212.98,844.19,1024,224,17.68,24.05,87.34
vit_base_patch16_clip_224,1211.82,844.996,1024,224,17.58,23.9,86.57
vit_base_patch16_224_miil,1211.26,845.389,1024,224,17.59,23.91,94.4
dpn92,1210.45,845.948,1024,224,6.54,18.21,37.67
vit_base_patch16_224,1210.28,846.074,1024,224,17.58,23.9,86.57
coatnet_rmlp_1_rw2_224,1208.65,847.215,1024,224,8.11,40.13,41.72
cait_xxs36_224,1205.51,849.419,1024,224,3.77,30.34,17.3
maxvit_tiny_tf_224,1200.3,639.828,768,224,5.6,35.78,30.92
swinv2_tiny_window8_256,1200.06,853.274,1024,256,5.96,24.57,28.35
efficientnetv2_rw_s,1199.87,853.413,1024,384,8.72,38.03,23.94
dla102x2,1198.52,854.374,1024,224,9.34,29.91,41.28
regnetx_160,1195.08,856.833,1024,224,15.99,25.52,54.28
dpn98,1183.92,864.908,1024,224,11.73,25.2,61.57
vit_base_patch16_rpn_224,1180.39,867.498,1024,224,17.49,23.75,86.54
twins_pcpvt_large,1168.64,876.22,1024,224,9.84,35.82,60.99
deit3_base_patch16_224,1164.77,879.134,1024,224,17.58,23.9,86.59
deit3_base_patch16_224_in21ft1k,1164.5,879.334,1024,224,17.58,23.9,86.59
regnetz_d8,1163.64,879.982,1024,320,6.19,37.08,23.37
swsl_resnext101_32x8d,1158.15,884.156,1024,224,16.48,31.21,88.79
resnext101_32x8d,1158.05,884.232,1024,224,16.48,31.21,88.79
ssl_resnext101_32x8d,1158.02,884.255,1024,224,16.48,31.21,88.79
wide_resnet101_2,1157.66,884.531,1024,224,22.8,21.23,126.89
ig_resnext101_32x8d,1157.3,884.8,1024,224,16.48,31.21,88.79
coatnet_1_rw_224,1155.72,886.014,1024,224,8.04,34.6,41.72
vit_base_patch16_gap_224,1154.73,886.777,1024,224,17.49,25.59,86.57
vit_base_patch32_clip_448,1154.21,887.173,1024,448,17.93,23.9,88.34
resnet200,1149.71,890.646,1024,224,15.07,32.19,64.67
mvitv2_small,1146.92,892.812,1024,224,7.0,28.08,34.87
xception65p,1145.07,670.686,768,299,13.91,52.48,39.82
cs3se_edgenet_x,1143.17,895.738,1024,320,18.01,20.21,50.72
vit_relpos_base_patch16_rpn_224,1143.15,895.76,1024,224,17.51,24.97,86.41
vit_relpos_base_patch16_224,1141.31,897.204,1024,224,17.51,24.97,86.43
tnt_s_patch16_224,1135.32,901.935,1024,224,5.24,24.37,23.76
resnetrs101,1134.67,902.454,1024,288,13.56,28.53,63.62
vit_relpos_base_patch16_clsgap_224,1128.94,907.03,1024,224,17.6,25.12,86.43
vit_relpos_base_patch16_cls_224,1126.78,908.771,1024,224,17.6,25.12,86.43
inception_resnet_v2,1126.73,908.809,1024,299,13.18,25.06,55.84
ens_adv_inception_resnet_v2,1125.41,909.877,1024,299,13.18,25.06,55.84
beit_base_patch16_224,1112.26,920.631,1024,224,17.58,23.9,86.53
coat_tiny,1108.72,923.572,1024,224,4.35,27.2,5.5
beitv2_base_patch16_224,1108.55,923.711,1024,224,17.58,23.9,86.53
mvitv2_small_cls,1101.66,929.491,1024,224,7.04,28.17,34.87
resnetv2_50d_gn,1092.35,937.413,1024,288,7.24,19.7,25.57
pit_b_distilled_224,1078.48,474.731,512,224,12.5,33.07,74.79
pit_b_224,1075.34,476.117,512,224,12.42,32.94,73.76
hrnet_w40,1059.78,966.217,1024,224,12.75,25.29,57.56
coatnet_1_224,1045.17,489.859,512,224,8.7,39.0,42.23
resnet101d,1039.88,984.712,1024,320,16.48,34.77,44.57
flexivit_base,1037.21,987.248,1024,240,20.29,28.36,86.59
gluon_resnext101_64x4d,1034.86,989.491,1024,224,15.52,31.21,83.46
vit_small_patch16_36x1_224,1033.13,991.146,1024,224,13.71,35.69,64.67
vit_large_r50_s32_224,1030.67,993.517,1024,224,19.58,24.41,328.99
maxvit_rmlp_tiny_rw_256,1029.25,746.162,768,256,6.77,46.92,29.15
xcit_tiny_24_p16_384_dist,1027.64,996.444,1024,384,6.87,34.29,12.12
efficientnet_b4,1014.08,504.879,512,384,4.51,50.04,19.34
maxvit_tiny_rw_256,1008.0,1015.861,1024,256,6.74,44.35,29.07
vit_small_patch16_18x2_224,1006.7,1017.169,1024,224,13.71,35.69,64.67
swinv2_cr_small_224,1005.28,1018.603,1024,224,9.07,50.27,49.7
regnetx_080,1004.51,1019.384,1024,224,8.02,14.06,39.57
repvgg_b3,994.23,1029.925,1024,224,29.16,15.1,123.09
swinv2_cr_small_ns_224,993.75,1030.424,1024,224,9.08,50.27,49.7
repvgg_b2g4,988.97,1035.405,1024,224,12.63,12.9,61.76
convnext_small,988.3,1036.113,1024,288,14.39,35.65,50.22
gluon_xception65,987.82,777.458,768,299,13.96,52.48,39.92
vit_small_r26_s32_384,982.68,1042.031,1024,384,10.43,29.85,36.47
xception65,978.83,784.597,768,299,13.96,52.48,39.92
regnetz_040,975.77,787.056,768,320,6.35,37.78,27.12
regnetz_040h,971.51,790.512,768,320,6.43,37.94,28.94
gluon_seresnext101_64x4d,965.3,1060.794,1024,224,15.53,31.25,88.23
maxvit_tiny_pm_256,964.03,1062.189,1024,256,6.61,47.9,30.09
efficientformer_l7,962.55,1063.825,1024,224,10.17,24.45,82.23
twins_svt_large,962.19,1064.229,1024,224,15.15,35.1,99.27
tf_efficientnet_b4,957.62,534.646,512,380,4.49,49.49,19.34
pvt_v2_b4,957.38,1069.569,1024,224,10.14,53.74,62.56
poolformer_m36,954.91,1072.334,1024,224,8.8,22.02,56.17
cait_s24_224,954.44,1072.866,1024,224,9.35,40.58,46.92
regnetz_b16_evos,950.47,808.013,768,288,2.36,16.43,9.74
resnest50d_4s2x40d,938.07,1091.586,1024,224,4.4,17.94,30.42
hrnet_w48,936.07,1093.917,1024,224,17.34,28.56,77.47
gmlp_b16_224,930.95,1099.935,1024,224,15.78,30.21,73.08
convnextv2_tiny,930.82,550.041,512,288,7.39,22.21,28.64
convnextv2_small,928.68,1102.629,1024,224,8.71,21.56,50.32
maxxvit_rmlp_tiny_rw_256,918.72,1114.583,1024,256,6.66,39.76,29.64
mobilevitv2_150_384_in22ft1k,915.49,419.435,384,384,9.2,54.25,10.59
pvt_v2_b5,909.79,1125.516,1024,224,11.76,50.92,81.96
nest_small,903.21,850.284,768,224,10.35,40.04,38.35
swin_s3_small_224,899.98,853.339,768,224,9.43,37.84,49.74
xcit_medium_24_p16_224_dist,898.61,1139.525,1024,224,16.13,31.71,84.4
xcit_medium_24_p16_224,898.6,1139.542,1024,224,16.13,31.71,84.4
jx_nest_small,892.03,860.939,768,224,10.35,40.04,38.35
coat_mini,880.8,1162.569,1024,224,6.82,33.68,10.34
swin_base_patch4_window7_224,875.38,1169.764,1024,224,15.47,36.63,87.77
dpn131,865.2,1183.527,1024,224,16.09,32.97,79.25
resnetv2_50d_evos,854.82,1197.895,1024,288,7.15,19.7,25.59
xcit_small_12_p16_384_dist,853.54,1199.694,1024,384,14.14,36.51,26.25
sequencer2d_l,839.78,1219.347,1024,224,9.74,22.12,54.3
crossvit_base_240,839.43,914.892,768,240,21.22,36.33,105.03
hrnet_w44,821.37,1246.671,1024,224,14.94,26.92,67.06
eca_nfnet_l1,818.87,1250.489,1024,320,14.92,34.42,41.41
vit_base_r50_s16_224,817.55,1252.502,1024,224,21.67,35.31,114.69
maxvit_rmlp_small_rw_224,816.34,1254.368,1024,224,10.75,49.3,64.9
gcvit_small,815.24,1256.055,1024,224,8.57,41.61,51.09
regnety_080,811.28,1262.191,1024,288,13.22,29.69,39.18
densenet264,804.85,1272.268,1024,224,12.95,12.8,72.69
mvitv2_base,804.14,1273.395,1024,224,10.16,40.5,51.47
repvgg_b3g4,802.85,1275.443,1024,224,17.89,15.1,83.83
vit_base_patch16_plus_240,782.25,1309.022,1024,240,27.41,33.08,117.56
swinv2_tiny_window16_256,781.61,655.045,512,256,6.68,39.02,28.35
maxvit_small_tf_224,777.04,658.899,512,224,11.66,53.17,68.93
xcit_tiny_24_p8_224,771.1,1327.958,1024,224,9.21,45.39,12.11
xcit_tiny_24_p8_224_dist,770.21,1329.496,1024,224,9.21,45.39,12.11
coatnet_2_rw_224,763.52,670.562,512,224,15.09,49.22,73.87
vit_relpos_base_patch16_plus_240,763.4,1341.361,1024,240,27.3,34.33,117.38
efficientnet_b3_gn,763.0,671.023,512,320,2.14,28.83,11.73
coatnet_rmlp_2_rw_224,759.73,673.906,512,224,15.18,54.78,73.88
vit_small_patch16_384,753.82,1018.79,768,384,15.52,50.78,22.2
hrnet_w64,750.36,1364.663,1024,224,28.97,35.09,128.06
xception71,749.7,1024.396,768,299,18.09,69.92,42.34
resnet152d,742.37,1379.356,1024,320,24.08,47.67,60.21
swinv2_small_window8_256,741.95,1380.134,1024,256,11.58,40.14,49.73
mobilevitv2_175_384_in22ft1k,739.09,519.544,384,384,12.47,63.29,14.25
ecaresnet200d,736.17,1390.959,1024,256,20.0,43.15,64.69
seresnet200d,733.28,1396.444,1024,256,20.01,43.15,71.86
swin_s3_base_224,733.27,1396.459,1024,224,13.69,48.26,71.13
convit_base,731.09,1400.636,1024,224,17.52,31.77,86.54
resnest101e,726.65,1409.184,1024,256,13.38,28.66,48.28
deit3_small_patch16_384,726.49,1057.125,768,384,15.52,50.78,22.21
deit3_small_patch16_384_in21ft1k,726.32,1057.368,768,384,15.52,50.78,22.21
volo_d2_224,722.61,1417.079,1024,224,14.34,41.34,58.68
tnt_b_patch16_224,721.24,1419.762,1024,224,14.09,39.01,65.41
xcit_nano_12_p8_384_dist,720.41,1421.4,1024,384,6.34,46.08,3.05
swinv2_cr_base_224,719.23,1423.721,1024,224,15.86,59.66,87.88
poolformer_m48,719.07,1424.046,1024,224,11.59,29.17,73.47
coatnet_2_224,715.36,715.711,512,224,16.5,52.67,74.68
swinv2_cr_base_ns_224,712.96,1436.239,1024,224,15.86,59.66,87.88
dpn107,691.0,1481.897,1024,224,18.38,33.46,86.92
convnext_base,687.14,1490.219,1024,288,25.43,47.53,88.59
resnetv2_50x1_bitm,684.31,374.087,256,448,16.62,44.46,25.55
efficientnet_b3_g8_gn,664.63,770.341,512,320,3.2,28.83,14.25
regnety_064,657.71,1556.911,1024,288,10.56,27.11,30.58
regnetv_064,652.6,1569.096,1024,288,10.55,27.11,30.58
xcit_small_12_p8_224,651.3,1572.214,1024,224,18.69,47.21,26.21
xcit_small_12_p8_224_dist,651.08,1572.755,1024,224,18.69,47.21,26.21
resnetrs152,649.95,1575.501,1024,320,24.34,48.14,86.62
mobilevitv2_200_384_in22ft1k,647.42,395.4,256,384,16.24,72.34,18.45
seresnet152d,645.69,1585.88,1024,320,24.09,47.72,66.84
tresnet_l,644.38,1589.105,1024,224,10.88,11.9,55.99
tresnet_v2_l,642.3,1594.246,1024,224,8.81,16.34,46.17
nest_base,640.98,798.76,512,224,17.96,53.39,67.72
regnetx_120,640.37,1599.07,1024,224,12.13,21.37,46.11
seresnext101_32x8d,639.53,1601.159,1024,288,27.24,51.63,93.57
regnetz_e8,639.43,1601.423,1024,320,15.46,63.94,57.7
ese_vovnet99b_iabn,636.1,1609.798,1024,224,16.49,11.27,63.2
jx_nest_base,634.61,806.787,512,224,17.96,53.39,67.72
regnety_120,625.75,1636.422,1024,224,12.14,21.38,51.82
efficientnetv2_m,624.53,1639.618,1024,416,18.6,67.5,54.14
seresnext101d_32x8d,621.55,1647.466,1024,288,27.64,52.95,93.59
resnext101_64x4d,619.77,1652.21,1024,288,25.66,51.59,83.46
swsl_resnext101_32x16d,612.21,1672.624,1024,224,36.27,51.18,194.03
ig_resnext101_32x16d,611.98,1673.243,1024,224,36.27,51.18,194.03
maxvit_rmlp_small_rw_256,611.67,1255.571,768,256,14.15,66.09,64.9
ssl_resnext101_32x16d,611.31,1675.063,1024,224,36.27,51.18,194.03
regnety_320,605.31,1691.684,1024,224,32.34,30.26,145.05
gcvit_base,602.42,1699.782,1024,224,14.87,55.48,90.32
regnetz_c16_evos,596.93,857.706,512,320,3.86,25.88,13.49
maxxvit_rmlp_small_rw_256,590.18,1735.046,1024,256,14.67,58.38,66.01
legacy_senet154,585.86,1747.854,1024,224,20.77,38.69,115.09
senet154,585.53,1748.836,1024,224,20.77,38.69,115.09
seresnextaa101d_32x8d,585.08,1750.175,1024,288,28.51,56.44,93.59
gluon_senet154,584.86,1750.843,1024,224,20.77,38.69,115.09
convmixer_768_32,581.95,1759.577,1024,224,19.55,25.95,21.11
seresnet269d,574.5,1782.4,1024,256,26.59,53.6,113.67
nf_regnet_b5,565.36,905.602,512,456,11.7,61.95,49.74
mixer_l16_224,553.66,1849.49,1024,224,44.6,41.69,208.2
resnet200d,545.14,1878.401,1024,320,31.25,67.33,64.69
nfnet_f1,544.28,1881.353,1024,320,35.97,46.77,132.63
vit_large_patch32_384,543.45,1884.237,1024,384,45.31,43.86,306.63
efficientnetv2_rw_m,543.37,1884.512,1024,416,21.49,79.62,53.24
vit_medium_patch16_gap_384,539.24,949.475,512,384,26.08,67.54,39.03
efficientnet_b5,533.21,960.212,512,448,9.59,93.56,30.39
swinv2_base_window8_256,531.81,1925.495,1024,256,20.37,52.59,87.92
maxxvitv2_rmlp_base_rw_224,525.72,1947.791,1024,224,24.2,62.77,116.09
xcit_large_24_p16_224_dist,509.19,2011.039,1024,224,35.86,47.27,189.1
xcit_large_24_p16_224,509.15,2011.169,1024,224,35.86,47.27,189.1
swin_large_patch4_window7_224,504.4,1522.593,768,224,34.53,54.94,196.53
halonet_h1,503.39,508.543,256,256,3.0,51.17,8.1
volo_d3_224,502.58,2037.467,1024,224,20.78,60.09,86.33
swinv2_small_window16_256,488.97,1047.084,512,256,12.82,66.29,49.73
tresnet_xl,481.58,2126.301,1024,224,15.17,15.34,78.44
vit_small_patch8_224,479.11,1068.641,512,224,22.44,80.84,21.67
tf_efficientnet_b5,476.47,805.919,384,456,10.46,98.86,30.39
maxvit_rmlp_base_rw_224,472.06,2169.196,1024,224,23.15,92.64,116.14
resnetrs200,471.68,2170.964,1024,320,31.51,67.81,93.21
xcit_tiny_12_p8_384_dist,471.45,2172.002,1024,384,14.13,69.14,6.71
dm_nfnet_f1,461.24,2220.087,1024,320,35.97,46.77,132.63
tf_efficientnetv2_m,458.93,1673.426,768,480,24.76,89.84,54.14
xcit_small_24_p16_384_dist,457.16,2239.891,1024,384,26.72,68.58,47.67
coatnet_rmlp_3_rw_224,439.5,582.463,256,224,33.56,79.47,165.15
maxvit_base_tf_224,430.05,1190.542,512,224,24.04,95.01,119.47
swinv2_cr_large_224,423.86,1811.887,768,224,35.1,78.42,196.68
resnetv2_152x2_bit_teacher,423.36,2418.743,1024,224,46.95,45.11,236.34
swinv2_cr_tiny_384,423.1,907.565,384,384,15.34,161.01,28.33
coatnet_3_rw_224,421.95,606.701,256,224,33.44,73.83,181.81
resnetv2_101x1_bitm,419.35,610.453,256,448,31.65,64.93,44.54
coatnet_3_224,405.07,631.982,256,224,36.56,79.01,166.97
convnextv2_base,403.59,1268.593,512,288,25.43,47.53,88.72
eca_nfnet_l2,401.73,2548.946,1024,384,30.05,68.28,56.72
regnetz_d8_evos,394.39,1947.294,768,320,7.03,38.92,23.46
convmixer_1024_20_ks9_p14,393.5,2602.254,1024,224,5.55,5.51,24.38
eva_large_patch14_196,392.3,2610.234,1024,196,61.57,63.52,304.14
crossvit_15_dagger_408,390.72,655.182,256,408,21.45,95.05,28.5
vit_large_patch16_224,390.66,2621.182,1024,224,61.6,63.52,304.33
vit_base_patch16_18x2_224,384.38,2663.987,1024,224,52.51,71.38,256.73
deit3_large_patch16_224_in21ft1k,377.58,2711.976,1024,224,61.6,63.52,304.37
deit3_large_patch16_224,377.53,2712.348,1024,224,61.6,63.52,304.37
convnext_large,373.02,2058.836,768,288,56.87,71.29,197.77
beit_large_patch16_224,360.62,2839.572,1024,224,61.6,63.52,304.43
beitv2_large_patch16_224,360.58,2839.86,1024,224,61.6,63.52,304.43
swinv2_base_window12to16_192to256_22kft1k,360.56,1065.006,384,256,22.02,84.71,87.92
swinv2_base_window16_256,360.23,1065.959,384,256,22.02,84.71,87.92
regnety_160,353.5,2172.566,768,288,26.37,38.07,83.59
nasnetalarge,345.63,1111.004,384,331,23.89,90.56,88.75
maxvit_tiny_tf_384,344.01,744.157,256,384,17.53,123.42,30.98
xcit_small_24_p8_224,342.37,2990.915,1024,224,35.81,90.78,47.63
xcit_small_24_p8_224_dist,342.26,2991.817,1024,224,35.81,90.78,47.63
flexivit_large,335.35,3053.52,1024,240,70.99,75.39,304.36
maxxvitv2_rmlp_large_rw_224,332.33,3081.271,1024,224,44.14,87.15,215.42
vit_large_r50_s32_384,329.8,3104.921,1024,384,57.43,76.52,329.09
pnasnet5large,328.89,1167.534,384,331,25.04,92.89,86.06
tresnet_m_448,325.8,3143.01,1024,448,22.94,29.21,31.39
volo_d1_384,323.04,1584.906,512,384,22.75,108.55,26.78
volo_d4_224,318.96,3210.439,1024,224,44.34,80.22,192.96
xcit_medium_24_p16_384_dist,312.74,3274.268,1024,384,47.39,91.64,84.4
nfnet_f2,310.6,3296.869,1024,352,63.22,79.06,193.78
vit_base_patch16_384,307.09,1250.42,384,384,55.54,101.56,86.86
deit_base_patch16_384,306.8,1251.599,384,384,55.54,101.56,86.86
vit_base_patch16_clip_384,306.29,1253.685,384,384,55.54,101.56,86.86
deit_base_distilled_patch16_384,305.48,1257.017,384,384,55.65,101.82,87.63
ecaresnet269d,305.06,3356.684,1024,352,50.25,101.25,102.09
maxvit_large_tf_224,301.43,1273.908,384,224,43.68,127.35,211.79
deit3_base_patch16_384_in21ft1k,298.01,1288.526,384,384,55.54,101.56,86.88
deit3_base_patch16_384,297.88,1289.093,384,384,55.54,101.56,86.88
resnetrs270,296.97,3448.186,1024,352,51.13,105.48,129.86
regnetx_320,289.44,2653.413,768,224,31.81,36.3,107.81
efficientnet_b6,287.31,890.997,256,528,19.4,167.39,43.04
vit_large_patch14_224,286.23,3577.501,1024,224,81.08,88.79,304.2
vit_large_patch14_clip_224,285.99,3580.5,1024,224,81.08,88.79,304.2
crossvit_18_dagger_408,285.18,673.248,192,408,32.47,124.87,44.61
cait_xxs24_384,281.48,3637.936,1024,384,9.63,122.66,12.03
ig_resnext101_32x32d,275.12,1860.956,512,224,87.29,91.12,468.53
tf_efficientnet_b6,274.07,700.545,192,528,19.4,167.39,43.04
dm_nfnet_f2,264.79,2900.408,768,352,63.22,79.06,193.78
beit_base_patch16_384,261.27,1469.733,384,384,55.54,101.56,86.74
efficientnetv2_l,260.33,1966.694,512,480,56.4,157.99,118.52
swinv2_cr_small_384,259.75,985.56,256,384,29.7,298.03,49.7
tf_efficientnetv2_l,257.29,1989.923,512,480,56.4,157.99,118.52
resnest200e,254.36,1006.453,256,320,35.69,82.78,70.2
mvitv2_large,249.99,2048.061,512,224,43.87,112.02,217.99
xcit_tiny_24_p8_384_dist,248.25,4124.916,1024,384,27.05,132.95,12.11
convnext_xlarge,242.63,2110.182,512,288,100.8,95.05,350.2
resmlp_big_24_224_in22ft1k,241.9,4233.056,1024,224,100.23,87.31,129.14
resmlp_big_24_224,241.74,4235.988,1024,224,100.23,87.31,129.14
resmlp_big_24_distilled_224,241.44,4241.249,1024,224,100.23,87.31,129.14
convnextv2_large,239.52,1068.782,256,288,56.87,71.29,197.96
coatnet_4_224,238.62,1072.827,256,224,62.48,129.26,275.43
swin_base_patch4_window12_384,236.12,813.144,192,384,47.19,134.78,87.9
xcit_medium_24_p8_224_dist,233.5,3289.007,768,224,63.53,121.23,84.32
xcit_medium_24_p8_224,233.5,3289.104,768,224,63.53,121.23,84.32
eca_nfnet_l3,229.87,2227.284,512,448,52.55,118.4,72.04
vit_base_r50_s16_384,226.32,1696.687,384,384,67.43,135.03,98.95
maxvit_small_tf_384,224.01,857.105,192,384,35.87,183.65,69.02
xcit_small_12_p8_384_dist,221.54,1733.28,384,384,54.92,138.29,26.21
swinv2_large_window12to16_192to256_22kft1k,220.1,1163.101,256,256,47.81,121.53,196.74
volo_d5_224,210.88,4855.76,1024,224,72.4,118.11,295.46
vit_base_patch8_224,199.67,1282.079,256,224,78.22,161.69,86.58
cait_xs24_384,197.64,3885.811,768,384,19.28,183.98,26.67
resnetrs350,196.19,5219.377,1024,384,77.59,154.74,163.96
cait_xxs36_384,188.27,5439.03,1024,384,14.35,183.7,17.37
swinv2_cr_base_384,185.68,1378.725,256,384,50.57,333.68,87.88
coatnet_rmlp_2_rw_384,184.84,1038.746,192,384,47.69,209.43,73.88
swinv2_cr_huge_224,184.09,2085.934,384,224,115.97,121.08,657.83
convnext_xxlarge,183.68,2787.486,512,224,151.66,95.29,846.47
volo_d2_384,180.56,2126.753,384,384,46.17,184.51,58.87
xcit_large_24_p16_384_dist,176.39,5805.281,1024,384,105.35,137.17,189.1
regnety_640,174.81,4393.396,768,224,64.16,42.5,281.38
maxvit_xlarge_tf_224,171.63,1491.6,256,224,97.49,191.02,474.95
nfnet_f3,170.11,4514.791,768,416,115.58,141.78,254.92
densenet264d_iabn,167.13,6126.84,1024,224,13.47,14.0,72.74
efficientnet_b7,166.38,1153.975,192,600,38.33,289.94,66.35
maxvit_tiny_tf_512,163.72,781.809,128,512,33.49,257.59,31.05
efficientnetv2_xl,162.7,3146.865,512,512,93.85,247.32,208.12
tf_efficientnetv2_xl,161.32,3173.821,512,512,93.85,247.32,208.12
tf_efficientnet_b7,160.43,1196.798,192,600,38.33,289.94,66.35
resnetv2_152x2_bit_teacher_384,159.54,1604.579,256,384,136.16,132.56,236.34
tresnet_l_448,154.66,6620.743,1024,448,43.5,47.56,55.99
vit_huge_patch14_224,154.27,6637.58,1024,224,167.43,139.43,658.75
vit_huge_patch14_clip_224,154.17,6642.017,1024,224,167.4,139.41,632.05
maxxvitv2_rmlp_base_rw_384,153.9,1663.429,256,384,72.98,213.74,116.09
cait_s24_384,152.41,3359.254,512,384,32.17,245.31,47.06
deit3_huge_patch14_224_in21ft1k,150.05,6824.53,1024,224,167.4,139.41,632.13
deit3_huge_patch14_224,149.59,6845.356,1024,224,167.4,139.41,632.13
dm_nfnet_f3,145.48,3519.403,512,416,115.58,141.78,254.92
resnetrs420,142.37,5394.528,768,416,108.45,213.79,191.89
swin_large_patch4_window12_384,138.37,925.016,128,384,104.08,202.16,196.74
resnetv2_50x3_bitm,133.5,1438.189,192,448,145.7,133.37,217.32
maxvit_rmlp_base_rw_384,131.6,1945.285,256,384,70.97,318.95,116.14
xcit_large_24_p8_224_dist,131.32,3898.808,512,224,141.23,181.56,188.93
xcit_large_24_p8_224,131.27,3900.391,512,224,141.23,181.56,188.93
coatnet_5_224,130.48,1471.508,192,224,145.49,194.24,687.47
maxvit_base_tf_384,122.48,1567.652,192,384,73.8,332.9,119.65
resnest269e,119.17,2148.198,256,416,77.69,171.98,110.93
resnetv2_152x2_bitm,117.29,2182.534,256,448,184.99,180.43,236.34
xcit_small_24_p8_384_dist,116.59,3293.649,384,384,105.24,265.91,47.63
tresnet_xl_448,115.63,8855.938,1024,448,60.65,61.31,78.44
swinv2_cr_large_384,113.43,1128.479,128,384,108.95,404.96,196.68
maxvit_small_tf_512,106.82,1198.298,128,512,67.26,383.77,69.13
efficientnet_b8,106.21,1205.18,128,672,63.48,442.89,87.41
tf_efficientnet_b8,102.86,1244.358,128,672,63.48,442.89,87.41
eva_large_patch14_336,102.71,2492.371,256,336,191.1,270.24,304.53
vit_large_patch14_clip_336,102.52,2496.99,256,336,191.11,270.24,304.53
vit_large_patch16_384,102.5,2497.593,256,384,191.21,270.24,304.72
cait_s36_384,101.88,5025.316,512,384,47.99,367.4,68.37
eva_giant_patch14_224,101.84,10055.112,1024,224,267.18,192.64,1012.56
vit_giant_patch14_224,100.71,7625.752,768,224,267.18,192.64,1012.61
vit_giant_patch14_clip_224,100.43,7646.856,768,224,267.18,192.64,1012.65
deit3_large_patch16_384_in21ft1k,99.81,2564.809,256,384,191.21,270.24,304.76
deit3_large_patch16_384,99.8,2564.994,256,384,191.21,270.24,304.76
swinv2_base_window12to24_192to384_22kft1k,96.12,665.832,64,384,55.25,280.36,87.92
nfnet_f4,89.33,5731.574,512,512,216.26,262.26,316.07
beit_large_patch16_384,88.56,2890.58,256,384,191.21,270.24,305.0
maxvit_large_tf_384,86.44,1480.84,128,384,132.55,445.84,212.03
regnety_1280,82.49,4654.845,384,224,127.66,71.58,644.81
xcit_medium_24_p8_384_dist,79.96,3201.705,256,384,186.67,354.73,84.32
resnetv2_101x3_bitm,79.41,2417.67,192,448,280.33,194.78,387.93
volo_d3_448,77.64,2473.021,192,448,96.33,446.83,86.63
dm_nfnet_f4,77.54,4952.036,384,512,216.26,262.26,316.07
nfnet_f5,67.46,5691.915,384,544,290.97,349.71,377.21
tf_efficientnet_l2,63.66,1507.989,96,475,172.11,609.89,480.31
swinv2_large_window12to24_192to384_22kft1k,60.94,787.651,48,384,116.15,407.83,196.74
vit_gigantic_patch14_224,60.18,8507.121,512,224,483.95,275.37,1844.44
vit_gigantic_patch14_clip_224,60.11,8517.85,512,224,483.96,275.37,1844.91
volo_d4_448,57.87,3317.675,192,448,197.13,527.35,193.41
maxvit_base_tf_512,57.86,2212.256,128,512,138.02,703.99,119.88
dm_nfnet_f5,57.78,6645.368,384,544,290.97,349.71,377.21
vit_huge_patch14_clip_336,57.4,4460.085,256,336,390.97,407.54,632.46
ig_resnext101_32x48d,56.43,6804.709,384,224,153.57,131.06,828.41
convnextv2_huge,56.31,1704.92,96,384,337.96,232.35,660.29
convmixer_1536_20,55.47,18461.426,1024,224,48.68,33.03,51.63
swinv2_cr_giant_224,52.39,3665.046,192,224,483.85,309.15,2598.76
nfnet_f6,51.81,7411.574,384,576,378.69,452.2,438.36
maxvit_xlarge_tf_384,50.76,1891.335,96,384,292.78,668.76,475.32
swinv2_cr_huge_384,49.01,1305.73,64,384,352.04,583.18,657.94
regnety_2560,47.69,8051.463,384,224,257.07,87.48,826.14
xcit_large_24_p8_384_dist,44.91,4275.004,192,384,415.0,531.82,188.93
dm_nfnet_f6,44.62,5737.462,256,576,378.69,452.2,438.36
nfnet_f7,41.13,6224.782,256,608,480.39,570.85,499.5
maxvit_large_tf_512,41.04,1559.597,64,512,244.75,942.15,212.33
eva_giant_patch14_336,39.89,6418.269,256,336,620.64,550.67,1013.01
volo_d5_448,39.88,3209.812,128,448,315.06,737.92,295.91
beit_large_patch16_512,35.33,2716.953,96,512,362.24,656.39,305.67
cait_m36_384,32.89,7783.487,256,384,173.11,734.81,271.22
resnetv2_152x4_bitm,30.46,3151.929,96,480,844.84,414.26,936.53
volo_d5_512,27.89,4590.0,128,512,425.09,1105.37,296.09
maxvit_xlarge_tf_512,24.38,1968.424,48,512,534.14,1413.22,475.77
efficientnet_l2,23.13,1383.428,32,800,479.12,1707.39,480.31
swinv2_cr_giant_384,15.06,2124.735,32,384,1450.71,1394.86,2598.76
cait_m48_448,13.86,9235.876,128,448,329.41,1708.23,356.46
eva_giant_patch14_560,10.52,3043.009,32,560,1906.76,2577.17,1014.45