pytorch-image-models

1
model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
2
tinynet_e,10725.36,46.047,512,106,2.04
3
mobilenetv3_small_050,9864.52,50.786,512,224,1.59
4
lcnet_035,9593.72,52.888,512,224,1.64
5
lcnet_050,8283.82,61.296,512,224,1.88
6
tf_mobilenetv3_small_minimal_100,8178.73,62.055,512,224,2.04
7
tinynet_d,7987.22,63.336,512,152,2.34
8
mobilenetv3_small_075,7734.29,65.482,512,224,2.04
9
mobilenetv3_small_100,7481.49,67.702,512,224,2.54
10
tf_mobilenetv3_small_075,7093.89,71.455,512,224,2.04
11
tf_mobilenetv3_small_100,6879.11,73.705,512,224,2.54
12
levit_128s,6303.14,80.293,512,224,7.78
13
lcnet_075,5742.95,88.676,512,224,2.36
14
lcnet_100,5331.75,95.531,512,224,2.95
15
mixer_s32_224,4714.36,108.029,512,224,19.1
16
mnasnet_small,4652.19,109.156,512,224,2.03
17
mnasnet_050,4534.41,112.14,512,224,2.22
18
levit_128,4434.56,114.332,512,224,9.21
19
vit_small_patch32_224,4334.06,117.284,512,224,22.88
20
mobilenetv2_035,4197.24,121.203,512,224,1.68
21
tinynet_c,4165.97,121.921,512,184,2.46
22
gernet_s,4117.74,123.649,512,224,8.17
23
semnasnet_050,4027.14,126.223,512,224,2.08
24
vit_tiny_r_s16_p8_224,3857.49,131.88,512,224,6.34
25
levit_192,3823.94,132.765,512,224,10.95
26
lcnet_150,3663.02,139.3,512,224,4.5
27
resnet18,3584.19,142.504,512,224,11.69
28
gluon_resnet18_v1b,3584.07,142.508,512,224,11.69
29
swsl_resnet18,3583.72,142.531,512,224,11.69
30
ssl_resnet18,3558.1,143.543,512,224,11.69
31
mobilenetv2_050,3541.93,143.76,512,224,1.97
32
mobilenetv3_large_075,3343.71,152.255,512,224,3.99
33
ese_vovnet19b_slim_dw,3243.14,157.395,512,224,1.9
34
tf_mobilenetv3_large_minimal_100,3227.09,157.922,512,224,3.92
35
seresnet18,3222.19,158.398,512,224,11.78
36
legacy_seresnet18,3130.77,163.021,512,224,11.78
37
tf_mobilenetv3_large_075,3109.15,163.824,512,224,3.99
38
mnasnet_075,3102.76,164.235,512,224,3.17
39
ghostnet_050,3069.54,165.437,512,224,2.59
40
mobilenetv3_rw,3020.36,168.644,512,224,5.48
41
mobilenetv3_large_100,2997.0,169.969,512,224,5.48
42
mobilenetv3_large_100_miil,2996.51,169.991,512,224,5.48
43
levit_256,2923.52,174.041,512,224,18.89
44
hardcorenas_a,2875.54,177.351,512,224,5.26
45
resnet18d,2830.02,180.547,512,224,11.71
46
mnasnet_b1,2826.42,180.324,512,224,4.38
47
mnasnet_100,2810.01,181.39,512,224,4.38
48
tf_mobilenetv3_large_100,2800.51,181.961,512,224,5.48
49
tinynet_b,2773.33,183.58,512,188,3.73
50
hardcorenas_b,2665.39,191.158,512,224,5.18
51
semnasnet_075,2649.51,192.342,512,224,2.91
52
hardcorenas_c,2643.17,192.764,512,224,5.52
53
ese_vovnet19b_slim,2613.26,195.551,512,224,3.17
54
mobilenetv2_075,2538.45,200.896,512,224,2.64
55
tf_efficientnetv2_b0,2507.59,202.986,512,224,7.14
56
spnasnet_100,2504.82,203.411,512,224,4.42
57
levit_256d,2485.6,204.456,512,224,26.21
58
hardcorenas_d,2483.8,204.983,512,224,7.5
59
semnasnet_100,2411.15,211.44,512,224,3.89
60
mnasnet_a1,2396.96,212.676,512,224,3.89
61
mobilenetv2_100,2381.65,214.209,512,224,3.5
62
regnetx_002,2371.97,215.169,512,224,2.68
63
tinynet_a,2274.6,223.875,512,192,6.19
64
regnety_002,2255.16,226.095,512,224,3.16
65
ghostnet_100,2251.56,226.062,512,224,5.18
66
fbnetc_100,2248.09,226.804,512,224,5.57
67
deit_tiny_patch16_224,2233.8,228.385,512,224,5.72
68
vit_tiny_patch16_224,2229.44,228.819,512,224,5.72
69
efficientnet_lite0,2209.28,231.003,512,224,4.65
70
hardcorenas_f,2207.45,230.839,512,224,8.2
71
deit_tiny_distilled_patch16_224,2193.62,232.567,512,224,5.91
72
hardcorenas_e,2183.35,233.392,512,224,8.07
73
xcit_nano_12_p16_224_dist,2148.4,236.588,512,224,3.05
74
xcit_nano_12_p16_224,2147.35,236.626,512,224,3.05
75
tv_resnet34,2081.13,245.45,512,224,21.8
76
resnet34,2080.93,245.474,512,224,21.8
77
gluon_resnet34_v1b,2070.75,246.674,512,224,21.8
78
pit_ti_distilled_224,2069.0,246.563,512,224,5.1
79
pit_ti_224,2067.14,246.798,512,224,4.85
80
tf_efficientnet_lite0,2051.57,248.83,512,224,4.65
81
skresnet18,2011.18,253.956,512,224,11.96
82
resnet26,1965.66,259.994,512,224,16.0
83
resnetblur18,1945.89,262.773,512,224,11.69
84
gernet_m,1920.15,265.947,512,224,21.14
85
ese_vovnet19b_dw,1905.39,268.216,512,224,6.54
86
nf_resnet26,1877.61,272.201,512,224,16.0
87
hrnet_w18_small,1858.6,274.127,512,224,13.19
88
seresnet34,1854.8,275.134,512,224,21.96
89
mnasnet_140,1835.61,278.136,512,224,7.12
90
legacy_seresnet34,1814.57,281.284,512,224,21.96
91
efficientnet_b0,1800.57,212.181,384,224,5.29
92
levit_384,1799.63,283.374,512,224,39.13
93
resnet34d,1799.03,284.0,512,224,21.82
94
mobilenetv2_110d,1768.64,216.1,384,224,4.52
95
rexnetr_100,1759.23,217.141,384,224,4.88
96
selecsls42,1754.3,291.22,512,224,30.35
97
selecsls42b,1748.59,292.176,512,224,32.46
98
mixer_b32_224,1728.02,295.478,512,224,60.29
99
tf_efficientnet_b0_ns,1702.0,224.532,384,224,5.29
100
tf_efficientnet_b0_ap,1700.69,224.751,384,224,5.29
101
tf_efficientnet_b0,1700.24,224.78,384,224,5.29
102
mixer_s16_224,1649.18,309.899,512,224,18.53
103
semnasnet_140,1640.99,311.119,512,224,6.11
104
tf_efficientnet_es,1622.88,314.744,512,224,5.44
105
efficientnet_es,1618.83,315.528,512,224,5.44
106
efficientnet_es_pruned,1616.07,316.054,512,224,5.44
107
vit_base_patch32_224_sam,1613.76,316.429,512,224,88.22
108
vit_base_patch32_224,1612.96,316.587,512,224,88.22
109
resnet26d,1609.37,317.63,512,224,16.01
110
tf_efficientnetv2_b1,1607.05,237.525,384,240,8.14
111
ghostnet_130,1600.19,318.63,512,224,7.36
112
pit_xs_distilled_224,1591.2,320.859,512,224,11.0
113
pit_xs_224,1589.39,321.258,512,224,10.62
114
repvgg_b0,1586.15,321.714,512,224,15.82
115
resmlp_12_224,1552.02,329.099,512,224,15.35
116
resmlp_12_distilled_224,1551.98,329.119,512,224,15.35
117
gmixer_12_224,1551.47,329.195,512,224,12.7
118
mobilenetv2_140,1539.46,248.646,384,224,6.11
119
mobilevit_xxs,1515.36,252.293,384,256,1.27
120
selecsls60,1486.56,343.544,512,224,30.67
121
selecsls60b,1480.82,344.867,512,224,32.77
122
nf_seresnet26,1471.47,347.302,512,224,17.4
123
xcit_tiny_12_p16_224,1422.37,358.218,512,224,6.72
124
xcit_tiny_12_p16_224_dist,1420.76,358.558,512,224,6.72
125
efficientnet_lite1,1418.67,179.483,256,240,5.42
126
vit_small_patch32_384,1414.68,361.045,512,384,22.92
127
efficientnet_b1_pruned,1384.32,368.407,512,240,6.33
128
gmlp_ti16_224,1378.39,276.995,384,224,5.87
129
dla46_c,1367.99,373.533,512,224,1.3
130
nf_ecaresnet26,1361.11,375.605,512,224,16.0
131
poolformer_s12,1359.83,375.831,512,224,11.92
132
rexnetr_130,1350.37,188.438,256,224,7.61
133
tf_efficientnet_lite1,1343.78,189.557,256,240,5.42
134
crossvit_tiny_240,1320.33,386.159,512,240,7.01
135
mobilenetv2_120d,1309.71,194.276,256,224,5.83
136
resnetv2_50,1296.0,394.281,512,224,25.55
137
gernet_l,1283.32,398.106,512,256,31.08
138
rexnet_100,1277.92,299.324,384,224,4.8
139
crossvit_9_240,1236.5,309.16,384,240,8.55
140
resnet26t,1227.85,416.475,512,256,16.01
141
ssl_resnet50,1223.5,417.643,512,224,25.56
142
resnet50,1222.61,417.956,512,224,25.56
143
tv_resnet50,1222.03,418.147,512,224,25.56
144
swsl_resnet50,1222.0,418.189,512,224,25.56
145
gluon_resnet50_v1b,1221.97,418.181,512,224,25.56
146
crossvit_9_dagger_240,1195.59,319.731,384,240,8.78
147
vit_tiny_r_s16_p8_384,1193.45,320.912,384,384,6.36
148
rexnetr_150,1185.63,214.799,256,224,9.78
149
fbnetv3_b,1184.86,322.487,384,256,8.6
150
botnet26t_256,1168.73,327.971,384,256,12.49
151
tf_efficientnetv2_b2,1157.41,219.649,256,260,10.1
152
regnetx_004,1150.82,443.834,512,224,5.16
153
repvgg_a2,1142.14,447.42,512,224,28.21
154
skresnet34,1140.48,447.803,512,224,22.28
155
resnetv2_50t,1134.35,450.541,512,224,25.57
156
fbnetv3_d,1133.65,223.966,256,256,10.31
157
resnetv2_50d,1131.93,451.499,512,224,25.57
158
gluon_resnet50_v1c,1131.41,338.54,384,224,25.58
159
halonet26t,1122.34,341.57,384,256,12.48
160
convit_tiny,1108.09,461.02,512,224,5.71
161
efficientnet_lite2,1096.26,232.544,256,260,6.09
162
dla34,1094.33,467.287,512,224,15.74
163
convnext_nano_hnf,1075.54,356.227,384,224,15.59
164
resnet50d,1070.21,357.929,384,224,25.58
165
gluon_resnet50_v1d,1070.13,357.997,384,224,25.58
166
resnet50t,1068.62,358.508,384,224,25.57
167
mixnet_s,1051.2,485.837,512,224,4.13
168
legacy_seresnext26_32x4d,1051.18,486.414,512,224,16.79
169
tf_efficientnet_lite2,1045.58,243.879,256,260,6.09
170
vit_small_resnet26d_224,1042.37,367.395,384,224,63.61
171
deit_small_patch16_224,1032.62,371.017,384,224,22.05
172
vit_small_patch16_224,1027.63,372.823,384,224,22.05
173
regnety_004,1027.25,497.255,512,224,4.34
174
tf_efficientnet_b1_ns,1026.16,247.955,256,240,7.79
175
tf_efficientnet_b1_ap,1026.11,248.006,256,240,7.79
176
tf_efficientnet_b1,1025.11,248.193,256,240,7.79
177
resnet32ts,1021.77,249.96,256,256,17.96
178
deit_small_distilled_patch16_224,1010.79,379.058,384,224,22.44
179
resnet33ts,1009.39,252.998,256,256,19.68
180
res2net50_48w_2s,1006.25,380.82,384,224,25.29
181
vovnet39a,1004.46,509.092,512,224,22.6
182
seresnext26d_32x4d,1002.27,382.471,384,224,16.81
183
seresnext26t_32x4d,1001.74,382.665,384,224,16.81
184
seresnext26tn_32x4d,1001.47,382.779,384,224,16.81
185
legacy_seresnet50,993.86,385.256,384,224,28.09
186
tf_efficientnet_em,979.63,260.356,256,240,6.9
187
efficientnet_em,978.46,260.687,256,240,6.9
188
dla46x_c,973.77,525.047,512,224,1.07
189
eca_resnet33ts,964.39,264.788,256,256,19.68
190
pit_s_224,961.0,265.507,256,224,23.46
191
pit_s_distilled_224,960.14,265.718,256,224,24.04
192
tf_mixnet_s,958.59,532.877,512,224,4.13
193
seresnet50,956.87,400.165,384,224,28.09
194
efficientnet_b1,954.91,266.596,256,256,7.79
195
seresnet33ts,954.85,267.313,256,256,19.78
196
ecaresnetlight,952.86,536.422,512,224,30.16
197
vit_base2_patch32_256,950.48,537.853,512,256,119.46
198
ese_vovnet39b,947.73,539.578,512,224,24.57
199
ecaresnext50t_32x4d,947.69,404.65,384,224,15.41
200
ecaresnext26t_32x4d,947.22,404.844,384,224,15.41
201
dla60,945.45,405.196,384,224,22.04
202
gluon_resnet50_v1s,943.31,406.227,384,224,25.68
203
resnetaa50d,941.94,406.82,384,224,25.58
204
eca_vovnet39b,939.18,544.514,512,224,22.6
205
vgg11,930.6,550.023,512,224,132.86
206
gcresnet33ts,927.58,274.995,256,256,19.88
207
lambda_resnet26rpt_256,921.55,207.755,192,256,10.99
208
dla60x_c,921.01,554.951,512,224,1.32
209
ecaresnet50d_pruned,911.85,560.565,512,224,19.94
210
resnetblur50,909.58,421.362,384,224,25.56
211
mobilevit_xs,909.51,210.0,192,256,2.32
212
cspresnet50,906.79,422.612,384,256,21.62
213
rexnetr_200,896.75,212.966,192,224,16.52
214
coat_lite_tiny,890.79,430.193,384,224,5.72
215
nf_seresnet50,886.81,431.807,384,224,28.09
216
dpn68b,878.29,436.039,384,224,12.61
217
selecsls84,872.56,585.545,512,224,50.95
218
twins_svt_small,868.85,440.366,384,224,24.06
219
hrnet_w18_small_v2,867.42,587.948,512,224,15.6
220
seresnet50t,865.51,442.504,384,224,28.1
221
cspresnext50,862.61,444.309,384,224,20.57
222
resnetrs50,861.96,444.354,384,224,35.69
223
cspresnet50w,860.12,445.567,384,256,28.12
224
cspresnet50d,849.09,451.363,384,256,21.64
225
densenet121,845.28,301.077,256,224,7.98
226
tv_densenet121,845.28,301.063,256,224,7.98
227
rexnet_150,842.23,302.82,256,224,9.73
228
tv_resnext50_32x4d,836.18,458.41,384,224,25.03
229
swsl_resnext50_32x4d,836.09,458.464,384,224,25.03
230
res2net50_26w_4s,835.77,458.208,384,224,25.7
231
coat_lite_mini,833.77,459.672,384,224,11.01
232
vit_base_resnet26d_224,833.37,459.491,384,224,101.4
233
resnext50_32x4d,832.87,460.244,384,224,25.03
234
ssl_resnext50_32x4d,832.34,460.521,384,224,25.03
235
dpn68,831.95,460.44,384,224,12.61
236
gluon_resnext50_32x4d,831.77,460.799,384,224,25.03
237
vovnet57a,828.64,616.994,512,224,36.64
238
efficientnet_b2_pruned,825.77,308.457,256,260,8.31
239
resnetblur50d,818.48,311.928,256,224,25.58
240
skresnet50,810.12,472.628,384,224,25.8
241
tf_efficientnet_b2_ap,809.72,235.646,192,260,9.11
242
tf_efficientnet_b2_ns,809.32,235.717,192,260,9.11
243
tf_efficientnet_b2,809.06,235.843,192,260,9.11
244
vgg11_bn,805.38,476.555,384,224,132.87
245
densenet121d,805.31,316.045,256,224,8.0
246
nf_ecaresnet50,804.89,476.102,384,224,25.56
247
rexnet_130,801.42,318.304,256,224,7.56
248
ecaresnet50d,793.07,483.245,384,224,25.58
249
ese_vovnet57b,790.94,484.567,384,224,38.61
250
regnetx_006,790.56,646.782,512,224,6.2
251
gcresnet50t,788.09,323.372,256,256,25.9
252
regnety_006,787.76,648.873,512,224,6.06
253
convnext_tiny,781.17,326.737,256,224,28.59
254
tf_inception_v3,774.78,494.217,384,299,23.83
255
gluon_inception_v3,774.48,494.404,384,299,23.83
256
seresnetaa50d,773.82,329.682,256,224,28.11
257
inception_v3,772.99,495.38,384,299,23.83
258
adv_inception_v3,769.85,497.351,384,299,23.83
259
resmlp_24_distilled_224,767.92,331.893,256,224,30.02
260
resnext50d_32x4d,765.61,333.516,256,224,25.05
261
resmlp_24_224,762.25,334.383,256,224,30.02
262
gmixer_24_224,759.72,335.461,256,224,24.72
263
resnetv2_101,757.49,336.449,256,224,44.54
264
res2net50_14w_8s,756.34,336.303,256,224,25.06
265
xcit_nano_12_p16_384_dist,754.95,337.338,256,384,3.05
266
sehalonet33ts,749.52,340.746,256,256,13.69
267
densenetblur121d,739.98,344.167,256,224,8.0
268
dla60_res2net,736.45,346.205,256,224,20.85
269
skresnet50d,736.23,346.324,256,224,25.82
270
mobilevit_s,734.66,260.236,192,256,5.58
271
gluon_resnet101_v1b,731.02,348.601,256,224,44.55
272
tv_resnet101,727.65,350.31,256,224,44.55
273
resnet101,727.5,350.369,256,224,44.55
274
xcit_tiny_24_p16_224,726.25,349.143,256,224,12.12
275
xcit_tiny_24_p16_224_dist,725.28,349.489,256,224,12.12
276
efficientnet_b2,724.21,263.654,192,288,9.11
277
twins_pcpvt_small,724.17,351.883,256,224,24.11
278
efficientnet_b2a,723.56,263.856,192,288,9.11
279
ecaresnet101d_pruned,714.19,715.116,512,224,24.88
280
nf_resnet50,710.87,539.322,384,288,25.56
281
nf_resnet101,707.69,540.968,384,224,44.55
282
seresnext50_32x4d,706.91,361.01,256,224,27.56
283
gluon_seresnext50_32x4d,706.58,361.114,256,224,27.56
284
efficientnet_b0_gn,705.84,361.599,256,224,5.29
285
legacy_seresnext50_32x4d,704.96,362.028,256,224,27.56
286
nf_regnet_b0,703.19,726.933,512,256,8.76
287
darknet53,701.97,363.892,256,256,41.61
288
resnetv2_101d,699.92,364.177,256,224,44.56
289
densenet169,698.35,364.121,256,224,14.15
290
gluon_resnet101_v1c,697.85,365.313,256,224,44.57
291
dla60x,694.54,367.645,256,224,17.35
292
poolformer_s24,690.11,369.675,256,224,21.39
293
semobilevit_s,684.71,279.143,192,256,5.74
294
efficientnetv2_rw_t,684.48,278.424,192,288,13.65
295
vit_small_r26_s32_224,682.34,373.878,256,224,36.43
296
convnext_tiny_hnf,681.83,374.501,256,224,28.59
297
gluon_resnet101_v1d,674.08,378.237,256,224,44.57
298
tf_efficientnetv2_b3,670.7,284.467,192,300,14.36
299
xcit_small_12_p16_224,670.22,380.208,256,224,26.25
300
xcit_small_12_p16_224_dist,669.97,380.26,256,224,26.25
301
sebotnet33ts_256,666.38,191.3,128,256,13.7
302
rexnet_200,665.99,287.162,192,224,16.37
303
vgg13,663.21,578.818,384,224,133.05
304
regnety_008,661.82,772.637,512,224,6.26
305
wide_resnet50_2,661.04,580.088,384,224,68.88
306
dla102,650.38,392.047,256,224,33.27
307
gmlp_s16_224,648.9,294.316,192,224,19.42
308
vit_base_resnet50d_224,646.39,394.444,256,224,110.97
309
swin_tiny_patch4_window7_224,639.35,399.428,256,224,28.29
310
ecaresnet26t,628.75,406.586,256,320,16.01
311
repvgg_b1,627.31,815.089,512,224,57.42
312
gluon_resnet101_v1s,624.3,408.497,256,224,44.67
313
crossvit_small_240,624.04,408.587,256,240,26.86
314
resnetaa101d,621.23,410.532,256,224,44.57
315
eca_botnext26ts_256,618.03,413.613,256,256,10.59
316
resnext26ts,615.62,623.252,384,256,10.3
317
gc_efficientnetv2_rw_t,605.04,314.593,192,288,13.68
318
eca_halonext26ts,604.41,422.932,256,256,10.76
319
seresnext26ts,598.53,427.051,256,256,10.39
320
eca_resnext26ts,598.25,427.346,256,256,10.3
321
convnext_tiny_hnfd,592.58,430.992,256,224,28.63
322
regnetx_008,591.8,864.35,512,224,7.26
323
resnetv2_50x1_bit_distilled,589.64,324.794,192,224,25.55
324
legacy_seresnet101,588.41,432.899,256,224,49.33
325
gcresnext26ts,585.17,436.656,256,256,10.48
326
halonet50ts,584.39,327.573,192,256,22.73
327
xcit_nano_12_p8_224,583.42,437.05,256,224,3.05
328
cait_xxs24_224,582.93,436.673,256,224,11.96
329
xcit_nano_12_p8_224_dist,581.01,438.848,256,224,3.05
330
mixer_b16_224,580.44,440.268,256,224,59.88
331
mixer_b16_224_miil,579.94,440.653,256,224,59.88
332
swin_s3_tiny_224,578.76,441.339,256,224,28.33
333
seresnet101,574.05,443.691,256,224,49.33
334
mixnet_m,573.23,891.634,512,224,5.01
335
res2net50_26w_6s,569.28,447.908,256,224,37.05
336
vgg13_bn,568.79,449.813,256,224,133.05
337
crossvit_15_240,568.46,335.957,192,240,27.53
338
resnetblur101d,567.71,449.352,256,224,44.57
339
cspdarknet53,565.64,451.547,256,256,27.64
340
efficientnet_lite3,563.01,226.244,128,300,8.2
341
tf_efficientnet_lite3,561.05,227.067,128,300,8.2
342
crossvit_15_dagger_240,549.96,347.22,192,240,28.21
343
resnext101_32x4d,548.6,465.031,256,224,44.18
344
tf_mixnet_m,547.03,700.438,384,224,5.01
345
swsl_resnext101_32x4d,546.13,467.192,256,224,44.18
346
gluon_resnext101_32x4d,545.31,467.899,256,224,44.18
347
ssl_resnext101_32x4d,545.31,467.944,256,224,44.18
348
densenet201,539.32,353.029,192,224,20.01
349
vgg16,536.49,715.548,384,224,138.36
350
bat_resnext26ts,533.44,478.688,256,256,10.73
351
nf_seresnet101,532.2,478.733,256,224,49.33
352
vit_base_r26_s32_224,528.57,361.981,192,224,101.38
353
resnetv2_152,524.49,485.916,256,224,60.19
354
botnet50ts_256,524.41,243.109,128,256,22.74
355
res2net101_26w_4s,523.46,486.536,256,224,45.21
356
efficientnet_b3_pruned,519.43,491.117,256,300,9.86
357
vit_base_patch32_384,517.32,494.013,256,384,88.3
358
vit_large_patch32_224,511.41,498.976,256,224,306.54
359
halo2botnet50ts_256,510.64,375.017,192,256,22.64
360
mixer_l32_224,510.1,374.908,192,224,206.94
361
swin_v2_cr_tiny_224,506.89,377.55,192,224,28.33
362
resmlp_36_distilled_224,505.72,377.435,192,224,44.69
363
resmlp_36_224,505.39,377.735,192,224,44.69
364
vit_tiny_patch16_384,503.94,253.174,128,384,5.79
365
res2next50,502.84,507.818,256,224,24.67
366
dla102x,501.98,380.938,192,224,26.31
367
swin_v2_cr_tiny_ns_224,501.36,381.688,192,224,28.33
368
resnet152,499.83,381.783,192,224,60.19
369
gluon_resnet152_v1b,499.79,381.933,192,224,60.19
370
tv_resnet152,496.47,384.401,192,224,60.19
371
xception,494.06,258.29,128,299,22.86
372
visformer_tiny,491.83,1040.332,512,224,10.32
373
mixnet_l,488.23,784.993,384,224,7.33
374
gluon_resnet152_v1c,485.58,393.139,192,224,60.21
375
resnet50_gn,484.73,395.256,192,224,25.56
376
resnetv2_152d,484.59,393.938,192,224,60.2
377
twins_pcpvt_base,480.18,397.102,192,224,43.83
378
nest_tiny,477.31,267.267,128,224,17.06
379
res2net50_26w_8s,476.93,534.581,256,224,48.4
380
ecaresnet101d,475.58,536.508,256,224,44.57
381
convnext_small,473.89,403.445,192,224,50.22
382
gluon_resnet152_v1d,473.52,403.216,192,224,60.21
383
tf_mixnet_l,470.86,542.123,256,224,7.33
384
jx_nest_tiny,470.71,271.015,128,224,17.06
385
vgg16_bn,469.97,544.386,256,224,138.37
386
nf_ecaresnet101,465.87,547.628,256,224,44.55
387
coat_lite_small,463.34,412.922,192,224,19.84
388
poolformer_s36,458.24,417.134,192,224,30.86
389
efficientnet_el,455.42,279.993,128,300,10.59
390
efficientnet_el_pruned,454.32,280.643,128,300,10.59
391
vgg19,451.86,849.574,384,224,143.67
392
convit_small,450.19,425.458,192,224,27.78
393
fbnetv3_g,449.02,283.045,128,288,16.62
394
ese_vovnet99b,448.97,568.658,256,224,63.2
395
seresnext101_32x4d,448.16,426.163,192,224,48.96
396
gluon_seresnext101_32x4d,447.49,426.94,192,224,48.96
397
gluon_resnet152_v1s,446.73,427.49,192,224,60.32
398
legacy_seresnext101_32x4d,446.01,428.263,192,224,48.96
399
nf_regnet_b3,442.03,577.378,256,320,18.59
400
tf_efficientnet_el,441.61,288.785,128,300,10.59
401
ese_vovnet39b_evos,439.23,290.493,128,224,24.58
402
dla60_res2next,437.89,583.208,256,224,17.03
403
volo_d1_224,437.25,437.756,192,224,26.63
404
dla169,436.98,436.866,192,224,53.39
405
skresnext50_32x4d,435.09,586.972,256,224,27.48
406
hrnet_w32,433.46,438.263,192,224,41.23
407
vit_small_resnet50d_s16_224,432.94,442.239,192,224,57.53
408
twins_svt_base,429.83,444.617,192,224,56.07
409
hrnet_w18,419.32,605.846,256,224,21.3
410
crossvit_18_240,400.15,317.858,128,240,43.27
411
vgg19_bn,399.74,640.035,256,224,143.68
412
ecaresnet50t,399.44,319.549,128,320,25.57
413
inception_v4,397.78,480.469,192,299,42.68
414
tf_efficientnet_b3,393.44,323.695,128,300,12.23
415
swin_small_patch4_window7_224,393.38,486.272,192,224,49.61
416
legacy_seresnet152,392.87,485.406,192,224,66.82
417
tf_efficientnet_b3_ap,392.08,324.783,128,300,12.23
418
vit_base_patch16_224_miil,391.87,489.169,192,224,86.54
419
tf_efficientnet_b3_ns,391.61,325.176,128,300,12.23
420
crossvit_18_dagger_240,387.95,327.891,128,240,44.27
421
vit_base_patch16_224,385.23,497.575,192,224,86.57
422
vit_base_patch16_224_sam,384.98,497.891,192,224,86.57
423
deit_base_patch16_224,384.15,498.956,192,224,86.57
424
cait_xxs36_224,380.29,501.012,192,224,17.3
425
repvgg_b2,380.03,1346.183,512,224,89.02
426
regnetx_016,379.21,1349.264,512,224,9.19
427
deit_base_distilled_patch16_224,378.28,506.739,192,224,87.34
428
densenet161,376.13,337.907,128,224,28.68
429
haloregnetz_b,375.52,680.247,256,224,11.68
430
xcit_tiny_12_p8_224,374.86,339.659,128,224,6.71
431
xcit_tiny_12_p8_224_dist,374.8,339.672,128,224,6.71
432
seresnet152,372.93,339.954,128,224,66.82
433
dla102x2,362.92,351.15,128,224,41.28
434
wide_resnet101_2,360.46,531.121,192,224,126.89
435
gluon_resnext101_64x4d,357.83,356.147,128,224,83.46
436
efficientnet_b3a,354.6,359.335,128,320,12.23
437
resnet200,354.57,357.998,128,224,64.67
438
xception41p,353.88,360.846,128,299,26.91
439
regnety_016,353.36,1447.082,512,224,11.2
440
efficientnet_b3,353.18,360.796,128,320,12.23
441
beit_base_patch16_224,352.29,543.93,192,224,86.53
442
resnest14d,349.84,1463.045,512,224,10.61
443
hrnet_w30,346.82,733.381,256,224,37.71
444
ens_adv_inception_resnet_v2,341.5,558.819,192,299,55.84
445
inception_resnet_v2,341.03,559.722,192,299,55.84
446
xcit_small_24_p16_224_dist,341.01,371.894,128,224,47.67
447
tnt_s_patch16_224,340.3,562.32,192,224,23.76
448
xcit_small_24_p16_224,339.02,373.952,128,224,47.67
449
efficientnet_lite4,334.87,189.779,64,380,13.01
450
dpn92,332.25,769.002,256,224,37.67
451
nf_regnet_b1,330.04,1549.911,512,288,10.22
452
twins_pcpvt_large,327.73,386.698,128,224,60.99
453
resnet101d,327.41,389.353,128,320,44.57
454
convnext_small_in22ft1k,327.31,389.301,128,224,88.59
455
convnext_base,327.3,389.374,128,224,88.59
456
convnext_base_in22ft1k,326.61,390.177,128,224,88.59
457
convnext_tiny_in22ft1k,324.94,392.181,128,224,88.59
458
tf_efficientnet_lite4,322.62,197.041,64,380,13.01
459
resnetrs101,321.74,395.61,128,288,63.62
460
pit_b_224,318.92,400.391,128,224,73.76
461
pit_b_distilled_224,318.09,401.455,128,224,74.79
462
gcresnext50ts,316.73,604.706,192,256,15.67
463
repvgg_b3,315.56,1215.795,384,224,123.09
464
gluon_seresnext101_64x4d,313.23,406.424,128,224,88.23
465
regnetz_d8,311.3,204.013,64,320,23.37
466
poolformer_m36,307.82,413.95,128,224,56.17
467
xception41,305.16,418.228,128,299,26.97
468
resnetv2_50d_gn,304.62,419.347,128,288,25.57
469
coat_tiny,304.05,418.955,128,224,5.5
470
vit_small_patch16_36x1_224,302.22,420.928,128,224,64.67
471
swin_v2_cr_small_224,302.05,421.43,128,224,49.7
472
cait_s24_224,301.09,422.497,128,224,46.92
473
mixnet_xl,300.81,849.169,256,224,11.9
474
vit_small_patch16_18x2_224,299.9,424.102,128,224,64.67
475
resnetv2_50d_frn,299.64,426.047,128,224,25.59
476
efficientnetv2_s,299.05,318.819,96,384,21.46
477
twins_svt_large,298.59,426.599,128,224,99.27
478
tf_efficientnetv2_s,297.45,320.544,96,384,21.46
479
tf_efficientnetv2_s_in21ft1k,295.84,322.238,96,384,21.46
480
efficientnetv2_rw_s,295.58,214.343,64,384,23.94
481
nest_small,295.19,323.571,96,224,38.35
482
jx_nest_small,293.04,325.974,96,224,38.35
483
hrnet_w40,291.68,653.529,192,224,57.56
484
regnetz_005,286.8,1783.819,512,224,7.12
485
nf_regnet_b2,284.19,1799.964,512,272,14.31
486
dpn98,283.21,450.397,128,224,61.57
487
gluon_xception65,280.82,339.911,96,299,39.92
488
xception65,279.18,341.922,96,299,39.92
489
resnet51q,277.93,689.969,192,288,35.7
490
nf_regnet_b4,277.28,459.47,128,384,30.21
491
swin_s3_small_224,277.05,344.678,96,224,49.74
492
swin_base_patch4_window7_224,275.83,462.244,128,224,87.77
493
xception65p,274.95,464.241,128,299,39.82
494
gmlp_b16_224,270.89,352.851,96,224,73.08
495
hrnet_w48,266.5,475.648,128,224,77.47
496
resnest26d,258.35,1485.604,384,224,17.07
497
resnest50d_1s4x24d,258.11,990.508,256,224,25.68
498
xcit_tiny_24_p16_384_dist,251.56,378.207,96,384,12.12
499
regnetz_c16,250.16,510.248,128,320,13.46
500
crossvit_base_240,249.99,382.366,96,240,105.03
501
coat_mini,247.34,515.482,128,224,10.34
502
xcit_medium_24_p16_224,244.65,519.851,128,224,84.4
503
xcit_medium_24_p16_224_dist,244.08,521.069,128,224,84.4
504
hrnet_w44,241.77,789.352,192,224,67.06
505
efficientnet_b4,241.47,262.953,64,384,19.34
506
volo_d2_224,238.72,400.292,96,224,58.68
507
tf_efficientnet_b4,236.52,268.528,64,380,19.34
508
tf_efficientnet_b4_ap,236.39,268.69,64,380,19.34
509
tf_efficientnet_b4_ns,236.1,269.028,64,380,19.34
510
vit_small_patch16_384,235.52,270.897,64,384,22.2
511
resnetv2_50d_evob,235.19,406.951,96,224,25.59
512
tresnet_m,234.84,2177.505,512,224,31.39
513
nfnet_l0,233.22,1096.449,256,288,35.07
514
visformer_small,232.72,1649.37,384,224,40.22
515
xcit_small_12_p16_384_dist,230.87,414.048,96,384,26.25
516
vit_large_r50_s32_224,228.88,417.083,96,224,328.99
517
convit_base,228.65,558.76,128,224,86.54
518
eca_nfnet_l0,226.92,1127.142,256,288,24.14
519
resnetv2_50d_evos,223.6,285.051,64,288,25.59
520
tnt_b_patch16_224,222.54,573.324,128,224,65.41
521
vit_small_r26_s32_384,221.41,287.746,64,384,36.47
522
densenet264,220.0,432.388,96,224,72.69
523
swin_s3_base_224,219.07,435.557,96,224,71.13
524
hrnet_w64,218.91,579.973,128,224,128.06
525
resnext101_64x4d,217.22,440.378,96,288,83.46
526
resnet152d,216.09,441.927,96,320,60.21
527
xception71,215.62,294.681,64,299,42.34
528
swin_v2_cr_base_224,215.23,443.662,96,224,87.88
529
dpn131,211.54,603.038,128,224,79.25
530
nest_base,210.35,302.564,64,224,67.72
531
vit_base_r50_s16_224,208.87,457.959,96,224,98.66
532
jx_nest_base,208.37,305.48,64,224,67.72
533
resnet61q,207.91,614.63,128,288,36.85
534
mixnet_xxl,202.79,629.315,128,224,23.96
535
xcit_nano_12_p8_384_dist,196.18,324.445,64,384,3.05
536
poolformer_m48,193.91,492.638,96,224,73.47
537
xcit_tiny_24_p8_224,190.8,499.85,96,224,12.11
538
xcit_tiny_24_p8_224_dist,190.62,500.3,96,224,12.11
539
seresnet200d,190.31,500.165,96,256,71.86
540
ecaresnet200d,182.23,523.49,96,256,64.69
541
regnetz_b16,181.6,1055.83,192,288,9.72
542
convnext_large_in22ft1k,180.86,529.028,96,224,197.77
543
convnext_large,180.64,529.707,96,224,197.77
544
convmixer_768_32,179.25,534.249,96,224,21.11
545
repvgg_b1g4,178.41,2868.637,512,224,39.97
546
regnety_032,178.01,1436.656,256,288,19.44
547
regnetx_032,177.68,2160.015,384,224,15.3
548
resnest50d,177.64,1439.786,256,224,27.48
549
gluon_senet154,177.29,538.24,96,224,115.09
550
senet154,176.81,539.67,96,224,115.09
551
halonet_h1,175.85,362.526,64,256,8.1
552
legacy_senet154,175.45,543.752,96,224,115.09
553
xcit_small_12_p8_224,174.99,363.954,64,224,26.21
554
xcit_small_12_p8_224_dist,174.85,364.256,64,224,26.21
555
seresnet152d,173.74,364.967,64,320,66.84
556
dpn107,173.23,552.482,96,224,86.92
557
mixer_l16_224,172.58,554.751,96,224,208.2
558
resnetrs152,171.14,370.433,64,320,86.62
559
resnest50d_4s2x40d,167.22,1529.64,256,224,30.42
560
resnet200d,166.19,382.131,64,320,64.69
561
volo_d3_224,162.25,391.709,64,224,86.33
562
regnetx_040,161.87,2371.182,384,224,22.12
563
vit_large_patch32_384,161.83,591.666,96,384,306.63
564
efficientnet_b3_gn,160.22,397.781,64,320,11.73
565
swin_large_patch4_window7_224,151.35,420.987,64,224,196.53
566
regnetx_080,150.02,2558.515,384,224,39.57
567
regnety_040s_gn,149.61,853.983,128,224,20.65
568
efficientnetv2_m,149.31,318.263,48,416,54.14
569
ssl_resnext101_32x8d,147.46,866.477,128,224,88.79
570
resnext101_32x8d,147.32,867.312,128,224,88.79
571
swsl_resnext101_32x8d,147.16,868.264,128,224,88.79
572
ig_resnext101_32x8d,146.91,869.691,128,224,88.79
573
regnetz_e8,146.27,326.163,48,320,57.7
574
resnetv2_50x1_bitm,140.77,340.162,48,448,25.55
575
seresnet269d,137.16,460.633,64,256,113.67
576
xcit_large_24_p16_224,136.77,464.553,64,224,189.1
577
xcit_large_24_p16_224_dist,136.73,464.738,64,224,189.1
578
xcit_tiny_12_p8_384_dist,128.06,373.098,48,384,6.71
579
efficientnetv2_rw_m,126.21,250.013,32,416,53.24
580
regnetx_064,124.13,2061.422,256,224,26.21
581
resnetrs200,123.75,383.587,48,320,93.21
582
dm_nfnet_f0,121.58,2104.417,256,256,71.49
583
swin_v2_cr_large_224,120.98,394.327,48,224,196.68
584
regnety_040,120.25,1595.17,192,288,20.65
585
nfnet_f0,119.63,2138.729,256,256,71.49
586
regnetv_040,118.92,1074.873,128,288,20.64
587
ese_vovnet99b_iabn,118.27,3243.951,384,224,63.2
588
xcit_small_24_p16_384_dist,117.41,405.393,48,384,47.67
589
regnetz_b16_evos,117.22,544.08,64,288,9.74
590
crossvit_15_dagger_408,116.43,273.026,32,408,28.5
591
efficientnet_b0_g8_gn,115.43,2216.717,256,224,6.56
592
vit_large_patch16_224,115.39,553.095,64,224,304.33
593
regnetz_c16_evos,115.15,414.978,48,320,13.49
594
vit_base_patch16_18x2_224,114.12,558.126,64,224,256.73
595
convnext_xlarge_in22ft1k,114.03,559.475,64,224,350.2
596
convnext_tiny_384_in22ft1k,112.53,424.859,48,384,88.59
597
convnext_small_384_in22ft1k,112.49,424.983,48,384,88.59
598
convnext_base_384_in22ft1k,112.43,425.187,48,384,88.59
599
swin_v2_cr_tiny_384,111.07,286.85,32,384,28.33
600
tf_efficientnetv2_m,109.5,289.071,32,480,54.14
601
tf_efficientnetv2_m_in21ft1k,109.37,289.435,32,480,54.14
602
beit_large_patch16_224,106.59,598.365,64,224,304.43
603
volo_d1_384,104.96,303.527,32,384,26.78
604
tresnet_l,104.79,4882.686,512,224,55.99
605
repvgg_b2g4,102.33,5002.104,512,224,61.76
606
eca_nfnet_l1,101.26,1262.246,128,320,41.41
607
volo_d4_224,101.17,471.916,48,224,192.96
608
cspdarknet53_iabn,98.65,3890.155,384,256,27.64
609
cait_xxs24_384,98.52,484.701,48,384,12.03
610
efficientnet_b5,97.28,326.485,32,456,30.39
611
tf_efficientnet_b5,95.75,331.792,32,456,30.39
612
tf_efficientnet_b5_ns,95.73,331.833,32,456,30.39
613
vit_base_patch16_384,95.69,333.568,32,384,86.86
614
deit_base_patch16_384,95.67,333.658,32,384,86.86
615
regnetz_d8_evos,95.66,332.456,32,320,23.46
616
tf_efficientnet_b5_ap,95.45,332.725,32,456,30.39
617
regnetz_040,94.56,674.98,64,320,27.12
618
regnetz_040h,94.14,678.01,64,320,28.94
619
deit_base_distilled_patch16_384,93.65,340.87,32,384,87.63
620
tresnet_xl,90.76,4227.401,384,224,78.44
621
cspresnext50_iabn,89.98,4265.102,384,256,20.57
622
resnest101e,89.71,1424.366,128,256,48.28
623
crossvit_18_dagger_408,87.99,361.633,32,408,44.61
624
xcit_small_24_p8_224,87.73,361.414,32,224,47.63
625
xcit_small_24_p8_224_dist,87.7,361.441,32,224,47.63
626
resnetv2_101x1_bitm,86.89,366.637,32,448,44.54
627
nf_regnet_b5,86.53,736.892,64,456,49.74
628
resnetv2_152x2_bit_teacher,86.4,368.012,32,224,236.34
629
repvgg_b3g4,84.75,4530.071,384,224,83.83
630
vit_large_patch14_224,84.3,567.814,48,224,304.2
631
beit_base_patch16_384,82.73,385.724,32,384,86.74
632
seresnext101_32x8d,81.65,781.61,64,288,93.57
633
xcit_medium_24_p16_384_dist,81.08,391.168,32,384,84.4
634
ecaresnet269d,77.88,406.425,32,352,102.09
635
regnetx_120,77.54,3300.773,256,224,46.11
636
pnasnet5large,76.44,414.721,32,331,86.06
637
vit_large_r50_s32_384,75.76,419.984,32,384,329.09
638
regnety_120,75.34,2547.007,192,224,51.82
639
resnetrs270,75.27,419.128,32,352,129.86
640
swin_base_patch4_window12_384,73.61,432.836,32,384,87.9
641
regnety_064,72.69,1759.173,128,288,30.58
642
regnetz_d32,72.18,885.049,64,320,27.58
643
regnetv_064,71.81,1780.738,128,288,30.58
644
resmlp_big_24_224,68.34,466.717,32,224,129.14
645
resmlp_big_24_224_in22ft1k,68.31,466.955,32,224,129.14
646
resmlp_big_24_distilled_224,68.26,467.278,32,224,129.14
647
regnety_320,67.49,1895.092,128,224,145.05
648
nasnetalarge,66.93,473.19,32,331,88.75
649
swin_v2_cr_small_384,66.26,359.874,24,384,49.7
650
cait_xs24_384,65.98,482.447,32,384,26.67
651
regnety_080,65.45,1954.421,128,288,39.18
652
regnetx_160,65.01,2952.336,192,224,54.28
653
xcit_tiny_24_p8_384_dist,64.61,492.002,32,384,12.11
654
volo_d5_224,64.26,494.733,32,224,295.46
655
cait_xxs36_384,63.75,498.023,32,384,17.37
656
vit_base_patch8_224,62.96,380.293,24,224,86.58
657
xcit_medium_24_p8_224,62.71,506.97,32,224,84.32
658
xcit_medium_24_p8_224_dist,62.63,507.407,32,224,84.32
659
efficientnet_b3_g8_gn,62.43,1023.448,64,320,14.25
660
convnext_large_384_in22ft1k,61.7,516.836,32,384,197.77
661
convmixer_1024_20_ks9_p14,61.37,4170.722,256,224,24.38
662
efficientnet_b0_g16_evos,60.46,6350.16,384,224,8.11
663
tf_efficientnetv2_l_in21ft1k,60.25,261.19,16,480,118.52
664
xcit_small_12_p8_384_dist,60.04,398.02,24,384,26.21
665
efficientnetv2_l,59.19,265.957,16,480,118.52
666
vit_base_resnet50_384,59.0,405.136,24,384,98.95
667
tf_efficientnetv2_l,58.87,267.382,16,480,118.52
668
vit_base_r50_s16_384,58.85,406.196,24,384,98.95
669
volo_d2_384,58.21,273.125,16,384,58.87
670
tresnet_m_448,53.55,3582.526,192,448,31.39
671
cait_s24_384,49.8,479.385,24,384,47.06
672
regnety_160,48.14,1993.0,96,288,83.59
673
ig_resnext101_32x16d,47.52,2018.737,96,224,194.03
674
swsl_resnext101_32x16d,47.43,2022.391,96,224,194.03
675
xcit_large_24_p16_384_dist,47.39,502.961,24,384,189.1
676
ssl_resnext101_32x16d,47.29,2028.601,96,224,194.03
677
resnetrs350,47.22,500.442,24,384,163.96
678
swin_v2_cr_base_384,47.19,336.677,16,384,87.88
679
swin_v2_cr_huge_224,46.26,343.404,16,224,657.83
680
regnetx_320,46.16,2771.769,128,224,107.81
681
eca_nfnet_l2,44.82,1425.204,64,384,56.72
682
efficientnet_b6,42.73,371.597,16,528,43.04
683
tf_efficientnet_b6,41.54,382.29,16,528,43.04
684
tf_efficientnet_b6_ns,41.5,382.621,16,528,43.04
685
tf_efficientnet_b6_ap,41.36,384.088,16,528,43.04
686
swin_large_patch4_window12_384,41.02,388.265,16,384,196.74
687
nfnet_f1,40.44,2371.478,96,320,132.63
688
vit_huge_patch14_224,39.64,401.543,16,224,632.05
689
dm_nfnet_f1,38.26,1670.645,64,320,132.63
690
convnext_xlarge_384_in22ft1k,37.04,430.195,16,384,350.2
691
efficientnet_b7,36.68,214.625,8,600,66.35
692
efficientnetv2_xl,36.54,322.755,12,512,208.12
693
tf_efficientnetv2_xl_in21ft1k,36.36,324.371,12,512,208.12
694
tf_efficientnet_b7_ap,36.21,217.402,8,600,66.35
695
tf_efficientnet_b7,36.05,218.422,8,600,66.35
696
tf_efficientnet_b7_ns,35.41,221.975,8,600,66.35
697
xcit_large_24_p8_224,34.96,454.269,16,224,188.93
698
xcit_large_24_p8_224_dist,34.92,454.696,16,224,188.93
699
resnetrs420,32.2,487.619,16,416,191.89
700
cait_s36_384,32.09,494.814,16,384,68.37
701
resnest200e,32.0,1494.763,48,320,70.2
702
densenet264d_iabn,31.93,4003.992,128,224,72.74
703
resnetv2_50x3_bitm,31.81,502.194,16,448,217.32
704
xcit_small_24_p8_384_dist,29.97,396.971,12,384,47.63
705
resnetv2_152x2_bit_teacher_384,29.92,398.698,12,384,236.34
706
vit_large_patch16_384,28.85,414.372,12,384,304.72
707
swin_v2_cr_large_384,28.47,419.18,12,384,196.68
708
tresnet_l_448,25.64,4988.984,128,448,55.99
709
beit_large_patch16_384,25.11,475.839,12,384,305.0
710
volo_d3_448,24.79,320.233,8,448,86.63
711
eca_nfnet_l3,24.19,1319.468,32,448,72.04
712
tresnet_xl_448,23.17,4140.191,96,448,78.44
713
nfnet_f2,22.36,2143.929,48,352,193.78
714
vit_giant_patch14_224,22.25,356.944,8,224,1012.61
715
dm_nfnet_f2,22.12,2166.49,48,352,193.78
716
efficientnet_cc_b0_8e,21.78,44.083,1,224,24.01
717
resnetv2_152x2_bitm,21.74,365.619,8,448,236.34
718
tf_efficientnet_cc_b0_4e,21.44,44.859,1,224,13.31
719
tf_efficientnet_cc_b0_8e,20.98,45.875,1,224,24.01
720
xcit_medium_24_p8_384_dist,20.42,388.21,8,384,84.32
721
efficientnet_cc_b0_4e,20.36,47.276,1,224,13.31
722
ig_resnext101_32x32d,18.17,1760.063,32,224,468.53
723
volo_d4_448,17.6,338.311,6,448,193.41
724
resnetv2_101x3_bitm,17.53,454.801,8,448,387.93
725
tf_efficientnet_cc_b1_8e,17.15,56.006,1,240,39.72
726
efficientnet_cc_b1_8e,16.21,59.398,1,240,39.72
727
resnest269e,13.09,1826.778,24,416,110.93
728
tf_efficientnet_b8_ap,12.18,488.771,6,672,87.41
729
efficientnet_b8,12.12,491.31,6,672,87.41
730
nfnet_f3,12.08,1982.52,24,416,254.92
731
xcit_large_24_p8_384_dist,11.91,500.622,6,384,188.93
732
tf_efficientnet_b8,11.9,500.516,6,672,87.41
733
cait_m36_384,11.87,501.638,6,384,271.22
734
dm_nfnet_f3,11.74,2040.434,24,416,254.92
735
volo_d5_448,11.52,343.952,4,448,295.91
736
swin_v2_cr_huge_384,10.9,364.423,4,384,657.94
737
convmixer_1536_20,9.63,4981.706,48,224,51.63
738
beit_large_patch16_512,9.42,422.773,4,512,305.67
739
tf_efficientnet_l2_ns_475,9.0,327.787,3,475,480.31
740
ig_resnext101_32x48d,8.5,1880.808,16,224,828.41
741
volo_d5_512,8.05,369.448,3,512,296.09
742
nfnet_f4,6.47,1849.874,12,512,316.07
743
dm_nfnet_f4,6.2,1929.065,12,512,316.07
744
cait_m48_448,4.75,415.897,2,448,356.46
745
nfnet_f5,4.63,1719.792,8,544,377.21
746
resnetv2_152x4_bitm,4.49,443.185,2,480,936.53
747
dm_nfnet_f5,4.47,1782.137,8,544,377.21
748
nfnet_f6,3.5,1707.387,6,576,438.36
749
dm_nfnet_f6,3.39,1759.608,6,576,438.36
750
nfnet_f7,2.67,1489.771,4,608,499.5
751
efficientnet_l2,2.09,473.733,1,800,480.31
752
tf_efficientnet_l2_ns,2.09,474.031,1,800,480.31
753