pytorch-image-models/results/benchmark-train-amp-nhwc-pt111-cu113-rtx3090.csv

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