pytorch-image-models/results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv

1	model	train_samples_per_sec	train_step_time	train_batch_size	train_img_size	param_count
2	tinynet_e	11865.58	41.98	512	106	2.04
3	mobilenetv3_small_050	9629.08	51.965	512	224	1.59
4	lcnet_035	9606.99	52.813	512	224	1.64
5	lcnet_050	8308.1	61.144	512	224	1.88
6	tf_mobilenetv3_small_minimal_100	8177.36	62.078	512	224	2.04
7	tinynet_d	7868.57	64.271	512	152	2.34
8	mobilenetv3_small_075	7711.11	65.691	512	224	2.04
9	mobilenetv3_small_100	7460.55	67.914	512	224	2.54
10	tf_mobilenetv3_small_075	7072.94	71.668	512	224	2.04
11	tf_mobilenetv3_small_100	6822.85	74.336	512	224	2.54
12	levit_128s	6307.22	80.265	512	224	7.78
13	lcnet_075	5771.69	88.22	512	224	2.36
14	lcnet_100	5340.01	95.349	512	224	2.95
15	mnasnet_small	4625.32	109.825	512	224	2.03
16	mnasnet_050	4551.97	111.686	512	224	2.22
17	levit_128	4410.33	114.704	512	224	9.21
18	mixer_s32_224	4217.66	120.85	512	224	19.1
19	mobilenetv2_035	4180.28	121.712	512	224	1.68
20	gernet_s	4116.78	123.681	512	224	8.17
21	tinynet_c	4103.49	123.752	512	184	2.46
22	semnasnet_050	4028.68	126.209	512	224	2.08
23	levit_192	3811.4	133.194	512	224	10.95
24	vit_small_patch32_224	3700.17	137.556	512	224	22.88
25	lcnet_150	3681.41	138.606	512	224	4.5
26	gluon_resnet18_v1b	3581.02	142.641	512	224	11.69
27	resnet18	3574.82	142.871	512	224	11.69
28	ssl_resnet18	3574.64	142.896	512	224	11.69
29	swsl_resnet18	3565.29	143.268	512	224	11.69
30	mobilenetv2_050	3526.73	144.403	512	224	1.97
31	vit_tiny_r_s16_p8_224	3365.24	151.299	512	224	6.34
32	mobilenetv3_large_075	3334.18	152.721	512	224	3.99
33	ese_vovnet19b_slim_dw	3240.01	157.539	512	224	1.9
34	seresnet18	3217.3	158.65	512	224	11.78
35	tf_mobilenetv3_large_minimal_100	3209.68	158.819	512	224	3.92
36	legacy_seresnet18	3142.19	162.435	512	224	11.78
37	mnasnet_075	3119.09	163.378	512	224	3.17
38	tf_mobilenetv3_large_075	3090.56	164.803	512	224	3.99
39	ghostnet_050	3063.05	165.85	512	224	2.59
40	mobilenetv3_rw	3014.78	168.962	512	224	5.48
41	mobilenetv3_large_100	2992.21	170.226	512	224	5.48
42	mobilenetv3_large_100_miil	2990.87	170.323	512	224	5.48
43	levit_256	2894.46	175.762	512	224	18.89
44	hardcorenas_a	2868.48	177.792	512	224	5.26
45	resnet18d	2834.12	180.284	512	224	11.71
46	mnasnet_100	2827.14	180.334	512	224	4.38
47	mnasnet_b1	2827.02	180.326	512	224	4.38
48	tf_mobilenetv3_large_100	2779.62	183.335	512	224	5.48
49	tinynet_b	2747.1	185.348	512	188	3.73
50	hardcorenas_b	2668.69	190.927	512	224	5.18
51	semnasnet_075	2655.76	191.892	512	224	2.91
52	hardcorenas_c	2631.09	193.667	512	224	5.52
53	ese_vovnet19b_slim	2599.09	196.628	512	224	3.17
54	mobilenetv2_075	2533.52	201.317	512	224	2.64
55	spnasnet_100	2511.06	202.936	512	224	4.42
56	tf_efficientnetv2_b0	2494.41	204.074	512	224	7.14
57	hardcorenas_d	2465.48	206.526	512	224	7.5
58	levit_256d	2462.33	206.435	512	224	26.21
59	mnasnet_a1	2405.65	211.939	512	224	3.89
60	semnasnet_100	2399.02	212.51	512	224	3.89
61	mobilenetv2_100	2378.23	214.513	512	224	3.5
62	regnetx_002	2343.58	217.787	512	224	2.68
63	tinynet_a	2256.09	225.69	512	192	6.19
64	ghostnet_100	2255.1	225.72	512	224	5.18
65	fbnetc_100	2254.08	226.169	512	224	5.57
66	regnety_002	2253.77	226.257	512	224	3.16
67	efficientnet_lite0	2211.3	230.81	512	224	4.65
68	hardcorenas_f	2190.03	232.713	512	224	8.2
69	hardcorenas_e	2162.31	235.693	512	224	8.07
70	tv_resnet34	2075.27	246.161	512	224	21.8
71	resnet34	2068.19	246.986	512	224	21.8
72	gluon_resnet34_v1b	2067.71	247.057	512	224	21.8
73	skresnet18	2066.34	247.158	512	224	11.96
74	tf_efficientnet_lite0	2054.44	248.465	512	224	4.65
75	resnetblur18	1969.59	259.6	512	224	11.69
76	resnet26	1968.95	259.579	512	224	16.0
77	gernet_m	1919.3	266.068	512	224	21.14
78	ese_vovnet19b_dw	1895.91	269.566	512	224	6.54
79	nf_resnet26	1892.25	270.084	512	224	16.0
80	hrnet_w18_small	1887.88	269.862	512	224	13.19
81	seresnet34	1853.44	275.372	512	224	21.96
82	mnasnet_140	1845.29	276.683	512	224	7.12
83	legacy_seresnet34	1806.55	282.531	512	224	21.96
84	resnet34d	1806.5	282.837	512	224	21.82
85	efficientnet_b0	1788.38	213.649	384	224	5.29
86	levit_384	1780.35	286.471	512	224	39.13
87	mobilenetv2_110d	1767.81	216.252	384	224	4.52
88	rexnetr_100	1752.61	217.959	384	224	4.88
89	selecsls42	1747.75	292.316	512	224	30.35
90	selecsls42b	1738.89	293.814	512	224	32.46
91	deit_tiny_patch16_224	1689.9	302.152	512	224	5.72
92	tf_efficientnet_b0_ap	1684.9	226.862	384	224	5.29
93	tf_efficientnet_b0_ns	1683.36	227.058	384	224	5.29
94	tf_efficientnet_b0	1683.23	227.077	384	224	5.29
95	vit_tiny_patch16_224	1683.04	303.395	512	224	5.72
96	deit_tiny_distilled_patch16_224	1666.5	306.386	512	224	5.91
97	semnasnet_140	1636.74	311.892	512	224	6.11
98	efficientnet_es	1623.57	314.604	512	224	5.44
99	efficientnet_es_pruned	1623.07	314.728	512	224	5.44
100	mixer_b32_224	1621.79	314.927	512	224	60.29
101	tf_efficientnet_es	1614.49	316.384	512	224	5.44
102	resnet26d	1611.26	317.273	512	224	16.01
103	ghostnet_130	1598.03	319.078	512	224	7.36
104	tf_efficientnetv2_b1	1597.89	238.836	384	240	8.14
105	repvgg_b0	1575.31	323.975	512	224	15.82
106	pit_ti_224	1548.89	329.683	512	224	4.85
107	pit_ti_distilled_224	1548.6	329.749	512	224	5.1
108	resmlp_12_224	1545.21	330.553	512	224	15.35
109	resmlp_12_distilled_224	1540.69	331.552	512	224	15.35
110	mobilenetv2_140	1540.03	248.569	384	224	6.11
111	vit_base_patch32_224	1513.69	337.426	512	224	88.22
112	vit_base_patch32_224_sam	1513.5	337.457	512	224	88.22
113	selecsls60	1477.69	345.619	512	224	30.67
114	selecsls60b	1473.48	346.601	512	224	32.77
115	nf_seresnet26	1470.65	347.478	512	224	17.4
116	xcit_nano_12_p16_224	1446.71	352.118	512	224	3.05
117	xcit_nano_12_p16_224_dist	1446.49	352.205	512	224	3.05
118	mixer_s16_224	1421.1	359.737	512	224	18.53
119	efficientnet_lite1	1418.43	179.546	256	240	5.42
120	efficientnet_b1_pruned	1373.85	371.198	512	240	6.33
121	dla46_c	1358.21	376.236	512	224	1.3
122	nf_ecaresnet26	1357.53	376.618	512	224	16.0
123	poolformer_s12	1347.4	379.311	512	224	11.92
124	rexnetr_130	1344.64	189.254	256	224	7.61
125	tf_efficientnet_lite1	1343.17	189.621	256	240	5.42
126	mobilenetv2_120d	1310.43	194.218	256	224	5.83
127	resnetv2_50	1297.38	393.874	512	224	25.55
128	gernet_l	1283.43	398.072	512	256	31.08
129	rexnet_100	1272.36	300.69	384	224	4.8
130	pit_xs_distilled_224	1254.74	407.184	512	224	11.0
131	pit_xs_224	1254.0	407.428	512	224	10.62
132	gmixer_12_224	1249.86	408.85	512	224	12.7
133	resnet26t	1229.42	415.965	512	256	16.01
134	vit_small_patch32_384	1222.24	418.08	512	384	22.92
135	gluon_resnet50_v1b	1211.76	316.088	384	224	25.56
136	resnet50	1209.87	316.583	384	224	25.56
137	swsl_resnet50	1207.82	317.131	384	224	25.56
138	ssl_resnet50	1206.46	317.499	384	224	25.56
139	tv_resnet50	1206.19	317.554	384	224	25.56
140	fbnetv3_b	1183.98	322.691	384	256	8.6
141	rexnetr_150	1180.6	215.678	256	224	9.78
142	skresnet34	1172.64	435.505	512	224	22.28
143	botnet26t_256	1165.39	328.958	384	256	12.49
144	regnetx_004	1156.64	441.6	512	224	5.16
145	tf_efficientnetv2_b2	1153.57	220.384	256	260	10.1
146	mobilevit_xxs	1138.13	336.274	384	256	1.27
147	repvgg_a2	1135.99	449.884	512	224	28.21
148	fbnetv3_d	1135.22	223.716	256	256	10.31
149	resnetv2_50t	1134.34	450.569	512	224	25.57
150	resnetv2_50d	1133.08	451.042	512	224	25.57
151	gluon_resnet50_v1c	1130.59	338.824	384	224	25.58
152	halonet26t	1113.35	344.34	384	256	12.48
153	efficientnet_lite2	1098.34	232.132	256	260	6.09
154	dla34	1084.57	471.49	512	224	15.74
155	mixnet_s	1077.24	474.033	512	224	4.13
156	resnet50d	1072.54	357.199	384	224	25.58
157	gluon_resnet50_v1d	1071.22	357.651	384	224	25.58
158	resnet50t	1070.87	357.75	384	224	25.57
159	xcit_tiny_12_p16_224	1059.54	481.47	512	224	6.72
160	xcit_tiny_12_p16_224_dist	1056.83	482.712	512	224	6.72
161	vit_tiny_r_s16_p8_384	1051.35	364.401	384	384	6.36
162	convnext_nano_hnf	1047.46	365.815	384	224	15.59
163	tf_efficientnet_lite2	1043.72	244.303	256	260	6.09
164	legacy_seresnext26_32x4d	1042.93	490.306	512	224	16.79
165	regnety_004	1025.72	498.016	512	224	4.34
166	resnet32ts	1024.45	249.318	256	256	17.96
167	res2net50_48w_2s	1015.98	377.161	384	224	25.29
168	tf_efficientnet_b1	1013.9	251.028	256	240	7.79
169	tf_efficientnet_b1_ap	1013.6	251.079	256	240	7.79
170	tf_efficientnet_b1_ns	1013.45	251.129	256	240	7.79
171	resnet33ts	1011.87	252.405	256	256	19.68
172	vit_small_resnet26d_224	1011.11	378.737	384	224	63.61
173	vovnet39a	996.22	513.329	512	224	22.6
174	seresnext26d_32x4d	992.71	386.155	384	224	16.81
175	seresnext26tn_32x4d	991.03	386.816	384	224	16.81
176	seresnext26t_32x4d	990.93	386.864	384	224	16.81
177	legacy_seresnet50	981.61	390.065	384	224	28.09
178	efficientnet_em	977.99	260.806	256	240	6.9
179	dla46x_c	974.57	524.617	512	224	1.07
180	tf_efficientnet_em	973.77	261.927	256	240	6.9
181	tf_mixnet_s	968.67	527.275	512	224	4.13
182	eca_resnet33ts	964.37	264.809	256	256	19.68
183	crossvit_tiny_240	956.47	399.879	384	240	7.01
184	seresnet33ts	956.02	266.975	256	256	19.78
185	crossvit_9_240	952.71	401.653	384	240	8.55
186	efficientnet_b1	949.11	268.27	256	256	7.79
187	seresnet50	945.63	404.935	384	224	28.09
188	resnetaa50d	943.45	406.185	384	224	25.58
189	gluon_resnet50_v1s	943.41	406.213	384	224	25.68
190	ecaresnetlight	941.44	542.944	512	224	30.16
191	ese_vovnet39b	941.23	543.33	512	224	24.57
192	ecaresnext26t_32x4d	941.0	407.528	384	224	15.41
193	dla60	940.59	407.297	384	224	22.04
194	ecaresnext50t_32x4d	939.56	408.147	384	224	15.41
195	eca_vovnet39b	935.89	546.442	512	224	22.6
196	convit_tiny	932.74	410.683	384	224	5.71
197	gcresnet33ts	930.55	274.114	256	256	19.88
198	gmlp_ti16_224	928.92	411.858	384	224	5.87
199	crossvit_9_dagger_240	926.84	412.865	384	240	8.78
200	cspresnet50	926.15	413.781	384	256	21.62
201	vgg11	923.83	554.05	512	224	132.86
202	dla60x_c	916.37	557.77	512	224	1.32
203	resnetblur50	915.4	418.683	384	224	25.56
204	vit_base2_patch32_256	908.46	562.788	512	256	119.46
205	ecaresnet50d_pruned	905.82	564.295	512	224	19.94
206	rexnetr_200	893.29	213.797	192	224	16.52
207	deit_small_patch16_224	893.26	429.034	384	224	22.05
208	lambda_resnet26rpt_256	890.56	215.0	192	256	10.99
209	vit_small_patch16_224	886.7	432.227	384	224	22.05
210	cspresnext50	880.67	435.197	384	224	20.57
211	nf_seresnet50	879.83	435.274	384	224	28.09
212	cspresnet50w	877.16	436.915	384	256	28.12
213	dpn68b	876.72	436.795	384	224	12.61
214	selecsls84	869.46	587.629	512	224	50.95
215	cspresnet50d	864.94	443.102	384	256	21.64
216	hrnet_w18_small_v2	863.89	590.316	512	224	15.6
217	deit_small_distilled_patch16_224	862.29	296.032	256	224	22.44
218	resnetrs50	858.46	446.055	384	224	35.69
219	densenet121	847.31	300.374	256	224	7.98
220	seresnet50t	845.39	301.672	256	224	28.1
221	tv_densenet121	843.62	301.628	256	224	7.98
222	gluon_resnext50_32x4d	836.83	458.055	384	224	25.03
223	rexnet_150	836.6	304.881	256	224	9.73
224	tv_resnext50_32x4d	834.19	459.519	384	224	25.03
225	swsl_resnext50_32x4d	834.14	459.541	384	224	25.03
226	ssl_resnext50_32x4d	832.93	460.219	384	224	25.03
227	resnext50_32x4d	832.41	460.523	384	224	25.03
228	dpn68	829.49	461.803	384	224	12.61
229	res2net50_26w_4s	828.02	307.899	256	224	25.7
230	vovnet57a	825.25	464.451	384	224	36.64
231	resnetblur50d	824.95	309.477	256	224	25.58
232	pit_s_224	821.86	310.612	256	224	23.46
233	efficientnet_b2_pruned	819.89	310.747	256	260	8.31
234	pit_s_distilled_224	815.65	312.988	256	224	24.04
235	skresnet50	813.96	313.131	256	224	25.8
236	vgg11_bn	808.62	474.647	384	224	132.87
237	densenet121d	807.2	315.378	256	224	8.0
238	vit_base_resnet26d_224	803.08	476.892	384	224	101.4
239	nf_ecaresnet50	802.77	477.356	384	224	25.56
240	rexnet_130	798.18	319.593	256	224	7.56
241	tf_efficientnet_b2_ap	795.21	239.963	192	260	9.11
242	tf_efficientnet_b2	794.4	240.207	192	260	9.11
243	regnetx_006	793.57	644.37	512	224	6.2
244	tf_efficientnet_b2_ns	792.71	240.732	192	260	9.11
245	gcresnet50t	789.8	322.677	256	256	25.9
246	regnety_006	787.34	649.188	512	224	6.06
247	ese_vovnet57b	786.57	487.301	384	224	38.61
248	ecaresnet50d	779.07	327.677	256	224	25.58
249	gluon_inception_v3	773.52	495.019	384	299	23.83
250	inception_v3	772.81	495.53	384	299	23.83
251	tf_inception_v3	770.52	496.982	384	299	23.83
252	resnext50d_32x4d	766.06	333.341	256	224	25.05
253	res2net50_14w_8s	764.36	332.765	256	224	25.06
254	seresnetaa50d	763.26	334.261	256	224	28.11
255	resnetv2_101	757.08	336.665	256	224	44.54
256	mobilevit_xs	756.94	252.56	192	256	2.32
257	resmlp_24_224	756.42	336.919	256	224	30.02
258	resmlp_24_distilled_224	756.42	336.97	256	224	30.02
259	adv_inception_v3	750.25	510.458	384	299	23.83
260	skresnet50d	748.96	340.43	256	224	25.82
261	dla60_res2net	743.7	342.834	256	224	20.85
262	sehalonet33ts	741.65	344.36	256	256	13.69
263	densenetblur121d	741.17	343.605	256	224	8.0
264	resnet101	732.48	347.987	256	224	44.55
265	gluon_resnet101_v1b	731.78	348.301	256	224	44.55
266	efficientnet_b0_gn	728.3	350.425	256	224	5.29
267	tv_resnet101	727.94	350.179	256	224	44.55
268	efficientnet_b2a	716.29	266.588	192	288	9.11
269	nf_resnet50	716.15	535.346	384	288	25.56
270	nf_resnet101	716.05	534.647	384	224	44.55
271	efficientnet_b2	714.18	267.365	192	288	9.11
272	ecaresnet101d_pruned	711.06	718.295	512	224	24.88
273	darknet53	702.74	363.511	256	256	41.61
274	gluon_resnet101_v1c	701.82	363.226	256	224	44.57
275	resnetv2_101d	700.7	363.831	256	224	44.56
276	densenet169	700.47	362.977	256	224	14.15
277	gluon_seresnext50_32x4d	700.46	364.36	256	224	27.56
278	seresnext50_32x4d	699.23	365.027	256	224	27.56
279	legacy_seresnext50_32x4d	697.76	365.743	256	224	27.56
280	nf_regnet_b0	696.64	733.751	512	256	8.76
281	dla60x	692.36	368.785	256	224	17.35
282	poolformer_s24	685.09	372.431	256	224	21.39
283	gluon_resnet101_v1d	678.31	375.898	256	224	44.57
284	efficientnetv2_rw_t	675.19	282.266	192	288	13.65
285	vgg13	667.6	575.009	384	224	133.05
286	tf_efficientnetv2_b3	665.51	286.721	192	300	14.36
287	convnext_tiny_hnf	664.96	384.0	256	224	28.59
288	rexnet_200	662.14	288.822	192	224	16.37
289	regnety_008	658.96	775.979	512	224	6.26
290	wide_resnet50_2	657.26	583.464	384	224	68.88
291	vit_small_r26_s32_224	656.89	388.437	256	224	36.43
292	sebotnet33ts_256	656.8	194.107	128	256	13.7
293	dla102	653.13	390.463	256	224	33.27
294	vit_base_resnet50d_224	630.21	404.636	256	224	110.97
295	mobilevit_s	629.43	303.928	192	256	5.58
296	repvgg_b1	626.12	816.692	512	224	57.42
297	gluon_resnet101_v1s	625.12	407.966	256	224	44.67
298	resnetaa101d	624.52	408.356	256	224	44.57
299	gmixer_24_224	623.55	409.084	256	224	24.72
300	ecaresnet26t	622.79	410.514	256	320	16.01
301	eca_botnext26ts_256	616.5	414.654	256	256	10.59
302	resnext26ts	613.16	625.751	384	256	10.3
303	eca_halonext26ts	603.84	423.35	256	256	10.76
304	gc_efficientnetv2_rw_t	602.6	315.856	192	288	13.68
305	eca_resnext26ts	600.19	425.981	256	256	10.3
306	convnext_tiny	596.38	428.309	256	224	28.59
307	seresnext26ts	596.22	428.706	256	256	10.39
308	coat_lite_tiny	594.48	645.068	384	224	5.72
309	regnetx_008	592.44	863.401	512	224	7.26
310	semobilevit_s	588.43	325.035	192	256	5.74
311	gcresnext26ts	588.04	434.525	256	256	10.48
312	mixnet_m	587.11	652.551	384	224	5.01
313	resnetv2_50x1_bit_distilled	582.57	328.74	192	224	25.55
314	legacy_seresnet101	581.9	437.758	256	224	49.33
315	cspdarknet53	581.74	439.027	256	256	27.64
316	halonet50ts	578.04	331.194	192	256	22.73
317	convnext_tiny_hnfd	577.71	442.141	256	224	28.63
318	res2net50_26w_6s	575.17	443.355	256	224	37.05
319	vgg13_bn	572.41	446.96	256	224	133.05
320	resnetblur101d	571.53	446.389	256	224	44.57
321	seresnet101	569.61	447.279	256	224	49.33
322	xcit_small_12_p16_224	569.05	448.106	256	224	26.25
323	coat_lite_mini	568.16	675.001	384	224	11.01
324	xcit_small_12_p16_224_dist	566.71	449.975	256	224	26.25
325	efficientnet_lite3	563.82	225.962	128	300	8.2
326	tf_efficientnet_lite3	561.43	226.92	128	300	8.2
327	tf_mixnet_m	548.78	698.227	384	224	5.01
328	gluon_resnext101_32x4d	548.42	465.243	256	224	44.18
329	swsl_resnext101_32x4d	547.31	466.21	256	224	44.18
330	xcit_tiny_24_p16_224_dist	547.0	464.738	256	224	12.12
331	ssl_resnext101_32x4d	546.67	466.798	256	224	44.18
332	resnext101_32x4d	545.9	467.45	256	224	44.18
333	xcit_tiny_24_p16_224	544.31	466.994	256	224	12.12
334	densenet201	543.07	350.641	192	224	20.01
335	vgg16	540.58	710.12	384	224	138.36
336	twins_svt_small	538.2	474.088	256	224	24.06
337	bat_resnext26ts	534.44	477.847	256	256	10.73
338	mixer_b16_224_miil	533.51	479.062	256	224	59.88
339	mixer_b16_224	533.49	479.056	256	224	59.88
340	nf_seresnet101	527.72	482.805	256	224	49.33
341	resnetv2_152	524.88	485.535	256	224	60.19
342	gmlp_s16_224	524.3	364.698	192	224	19.42
343	crossvit_small_240	523.32	365.287	192	240	26.86
344	res2net101_26w_4s	521.59	365.626	192	224	45.21
345	botnet50ts_256	517.93	246.212	128	256	22.74
346	efficientnet_b3_pruned	516.58	493.917	256	300	9.86
347	vit_base_r26_s32_224	515.2	371.411	192	224	101.38
348	nf_regnet_b3	513.91	496.324	256	320	18.59
349	res2next50	505.83	504.834	256	224	24.67
350	dla102x	504.27	379.22	192	224	26.31
351	xcit_nano_12_p16_384_dist	504.22	505.947	256	384	3.05
352	resnet50_gn	503.53	380.489	192	224	25.56
353	mixnet_l	503.2	507.181	256	224	7.33
354	resnet152	499.49	382.202	192	224	60.19
355	gluon_resnet152_v1b	499.26	382.341	192	224	60.19
356	resmlp_36_224	498.84	382.725	192	224	44.69
357	tv_resnet152	497.88	383.389	192	224	60.19
358	mixer_l32_224	496.73	385.058	192	224	206.94
359	resmlp_36_distilled_224	495.13	385.629	192	224	44.69
360	visformer_tiny	493.66	1036.466	512	224	10.32
361	halo2botnet50ts_256	493.38	258.451	128	256	22.64
362	cait_xxs24_224	493.27	516.559	256	224	11.96
363	xception	492.05	259.342	128	299	22.86
364	vit_base_patch32_384	491.11	520.434	256	384	88.3
365	vit_large_patch32_224	490.76	520.06	256	224	306.54
366	gluon_resnet152_v1c	485.71	393.072	192	224	60.21
367	resnetv2_152d	485.01	393.607	192	224	60.2
368	res2net50_26w_8s	477.37	400.062	192	224	48.4
369	crossvit_15_240	477.11	400.634	192	240	27.53
370	gluon_resnet152_v1d	473.85	402.963	192	224	60.21
371	tf_mixnet_l	473.66	538.956	256	224	7.33
372	ecaresnet101d	472.0	540.618	256	224	44.57
373	vgg16_bn	467.67	547.066	256	224	138.37
374	crossvit_15_dagger_240	464.95	411.108	192	240	28.21
375	nf_ecaresnet101	463.81	550.107	256	224	44.55
376	efficientnet_el	455.11	280.196	128	300	10.59
377	poolformer_s36	454.99	420.116	192	224	30.86
378	efficientnet_el_pruned	454.4	280.625	128	300	10.59
379	swin_tiny_patch4_window7_224	453.0	564.154	256	224	28.29
380	gluon_resnet152_v1s	449.55	424.842	192	224	60.32
381	vgg19	448.89	855.203	384	224	143.67
382	fbnetv3_g	446.79	284.505	128	288	16.62
383	ese_vovnet99b	446.63	571.682	256	224	63.2
384	gluon_seresnext101_32x4d	445.56	428.728	192	224	48.96
385	legacy_seresnext101_32x4d	443.64	430.564	192	224	48.96
386	seresnext101_32x4d	442.87	431.396	192	224	48.96
387	tf_efficientnet_el	442.83	287.962	128	300	10.59
388	skresnext50_32x4d	441.31	578.719	256	224	27.48
389	twins_pcpvt_small	440.34	579.752	256	224	24.11
390	dla60_res2next	439.19	581.507	256	224	17.03
391	ese_vovnet39b_evos	437.95	291.344	128	224	24.58
392	dla169	436.27	437.707	192	224	53.39
393	hrnet_w32	434.6	437.22	192	224	41.23
394	hrnet_w18	419.74	605.263	256	224	21.3
395	swin_s3_tiny_224	418.05	458.308	192	224	28.33
396	convit_small	417.6	458.784	192	224	27.78
397	vit_tiny_patch16_384	413.0	309.097	128	384	5.79
398	vit_small_resnet50d_s16_224	412.12	464.661	192	224	57.53
399	vgg19_bn	402.52	635.599	256	224	143.68
400	inception_v4	396.8	481.741	192	299	42.68
401	ecaresnet50t	394.31	323.698	128	320	25.57
402	tf_efficientnet_b3	389.49	327.004	128	300	12.23
403	legacy_seresnet152	389.45	489.771	192	224	66.82
404	tf_efficientnet_b3_ap	388.84	327.542	128	300	12.23
405	tf_efficientnet_b3_ns	388.78	327.565	128	300	12.23
406	xcit_nano_12_p8_224_dist	387.21	659.394	256	224	3.05
407	convnext_small	384.54	497.552	192	224	50.22
408	xcit_nano_12_p8_224	384.13	664.719	256	224	3.05
409	regnetx_016	380.23	1345.67	512	224	9.19
410	swin_v2_cr_tiny_224	379.31	504.955	192	224	28.33
411	repvgg_b2	378.58	1351.362	512	224	89.02
412	densenet161	378.04	336.272	128	224	28.68
413	haloregnetz_b	373.44	684.066	256	224	11.68
414	seresnet152	368.67	343.988	128	224	66.82
415	volo_d1_224	368.14	346.356	128	224	26.63
416	dla102x2	362.23	351.833	128	224	41.28
417	swin_v2_cr_tiny_ns_224	361.82	529.379	192	224	28.33
418	vit_base_patch16_224_miil	361.72	353.077	128	224	86.54
419	nest_tiny	360.72	353.977	128	224	17.06
420	gluon_resnext101_64x4d	360.58	353.482	128	224	83.46
421	jx_nest_tiny	360.01	354.671	128	224	17.06
422	wide_resnet101_2	358.04	534.717	192	224	126.89
423	deit_base_patch16_224	356.6	358.132	128	224	86.57
424	vit_base_patch16_224	355.86	358.875	128	224	86.57
425	vit_base_patch16_224_sam	355.66	359.078	128	224	86.57
426	resnet200	355.09	357.637	128	224	64.67
427	regnety_016	353.22	1447.724	512	224	11.2
428	xception41p	353.13	361.611	128	299	26.91
429	deit_base_distilled_patch16_224	352.06	362.734	128	224	87.34
430	efficientnet_b3a	350.83	363.194	128	320	12.23
431	efficientnet_b3	350.78	363.262	128	320	12.23
432	resnest14d	349.46	1464.67	512	224	10.61
433	crossvit_18_240	347.41	366.517	128	240	43.27
434	hrnet_w30	347.21	732.586	256	224	37.71
435	inception_resnet_v2	342.0	558.107	192	299	55.84
436	ens_adv_inception_resnet_v2	341.96	558.12	192	299	55.84
437	crossvit_18_dagger_240	338.55	376.059	128	240	44.27
438	efficientnet_lite4	334.77	189.845	64	380	13.01
439	dpn92	332.74	767.899	256	224	37.67
440	nf_regnet_b1	332.08	1540.325	512	288	10.22
441	coat_lite_small	330.21	579.992	192	224	19.84
442	resnet101d	329.64	386.792	128	320	44.57
443	mixnet_xl	327.95	583.611	192	224	11.9
444	beit_base_patch16_224	326.86	390.577	128	224	86.53
445	tf_efficientnet_lite4	322.3	197.262	64	380	13.01
446	resnetrs101	319.8	398.042	128	288	63.62
447	twins_pcpvt_base	319.06	599.001	192	224	43.83
448	cait_xxs36_224	317.98	398.889	128	224	17.3
449	gcresnext50ts	316.46	605.234	192	256	15.67
450	resnetv2_50d_gn	315.97	404.249	128	288	25.57
451	repvgg_b3	314.46	1220.096	384	224	123.09
452	gluon_seresnext101_64x4d	311.54	408.706	128	224	88.23
453	twins_svt_base	310.17	410.642	128	224	56.07
454	regnetz_d8	308.13	206.12	64	320	23.37
455	poolformer_m36	305.55	417.03	128	224	56.17
456	xception41	305.2	418.184	128	299	26.97
457	resnetv2_50d_frn	299.55	426.215	128	224	25.59
458	efficientnetv2_s	298.13	319.843	96	384	21.46
459	efficientnetv2_rw_s	294.35	215.203	64	384	23.94
460	swin_small_patch4_window7_224	293.69	434.018	128	224	49.61
461	tf_efficientnetv2_s	292.33	326.193	96	384	21.46
462	hrnet_w40	292.01	652.817	192	224	57.56
463	tf_efficientnetv2_s_in21ft1k	290.7	328.02	96	384	21.46
464	pit_b_224	290.65	329.366	96	224	73.76
465	xcit_small_24_p16_224_dist	289.62	438.649	128	224	47.67
466	xcit_small_24_p16_224	289.57	438.594	128	224	47.67
467	regnetz_005	289.37	1767.969	512	224	7.12
468	pit_b_distilled_224	289.24	330.966	96	224	74.79
469	nf_regnet_b2	283.49	1804.47	512	272	14.31
470	dpn98	282.57	451.401	128	224	61.57
471	gluon_xception65	280.65	340.128	96	299	39.92
472	convnext_base	280.05	455.331	128	224	88.59
473	convnext_base_in22ft1k	278.55	457.745	128	224	88.59
474	convnext_small_in22ft1k	278.52	457.835	128	224	88.59
475	resnet51q	278.38	688.843	192	288	35.7
476	convnext_tiny_in22ft1k	278.23	458.306	128	224	88.59
477	xception65	278.17	343.202	96	299	39.92
478	nf_regnet_b4	276.19	461.347	128	384	30.21
479	xcit_tiny_12_p8_224	275.08	463.559	128	224	6.71
480	xcit_tiny_12_p8_224_dist	274.14	465.135	128	224	6.71
481	xception65p	273.65	466.496	128	299	39.82
482	cait_s24_224	273.57	465.435	128	224	46.92
483	hrnet_w48	266.71	475.16	128	224	77.47
484	vit_small_patch16_18x2_224	263.99	482.238	128	224	64.67
485	vit_small_patch16_36x1_224	259.67	367.102	96	224	64.67
486	resnest50d_1s4x24d	257.47	992.99	256	224	25.68
487	resnest26d	255.39	1502.806	384	224	17.07
488	regnetz_c16	250.02	510.536	128	320	13.46
489	gmlp_b16_224	249.07	383.895	96	224	73.08
490	hrnet_w44	242.27	787.905	192	224	67.06
491	twins_svt_large	238.88	533.776	128	224	99.27
492	efficientnet_b4	238.09	266.775	64	384	19.34
493	nest_small	237.16	403.167	96	224	38.35
494	jx_nest_small	237.15	403.154	96	224	38.35
495	swin_v2_cr_small_224	235.88	404.597	96	224	49.7
496	resnetv2_50d_evob	235.37	406.693	96	224	25.59
497	crossvit_base_240	233.19	410.026	96	240	105.03
498	visformer_small	233.03	1647.198	384	224	40.22
499	tf_efficientnet_b4_ns	232.84	272.816	64	380	19.34
500	nfnet_l0	232.69	1098.999	256	288	35.07
501	tf_efficientnet_b4_ap	232.56	273.059	64	380	19.34
502	tresnet_m	232.35	2200.869	512	224	31.39
503	tf_efficientnet_b4	232.32	273.464	64	380	19.34
504	coat_tiny	232.24	549.137	128	224	5.5
505	swin_s3_small_224	226.56	421.928	96	224	49.74
506	twins_pcpvt_large	226.38	561.433	128	224	60.99
507	eca_nfnet_l0	225.65	1133.48	256	288	24.14
508	swin_base_patch4_window7_224	225.24	566.471	128	224	87.77
509	vit_large_r50_s32_224	223.42	427.305	96	224	328.99
510	densenet264	221.03	430.404	96	224	72.69
511	resnetv2_50d_evos	220.72	288.818	64	288	25.59
512	hrnet_w64	220.46	575.895	128	224	128.06
513	convit_base	218.2	438.93	96	224	86.54
514	resnet152d	215.82	442.51	96	320	60.21
515	resnext101_64x4d	215.79	443.36	96	288	83.46
516	xception71	214.33	296.52	64	299	42.34
517	vit_small_r26_s32_384	213.14	298.982	64	384	36.47
518	volo_d2_224	211.05	453.161	96	224	58.68
519	vit_small_patch16_384	211.02	302.439	64	384	22.2
520	dpn131	210.85	605.028	128	224	79.25
521	xcit_medium_24_p16_224_dist	210.73	452.215	96	224	84.4
522	xcit_medium_24_p16_224	210.37	452.835	96	224	84.4
523	resnet61q	208.57	612.704	128	288	36.85
524	mixnet_xxl	207.05	616.266	128	224	23.96
525	vit_base_r50_s16_224	197.64	322.234	64	224	98.66
526	coat_mini	197.23	646.961	128	224	10.34
527	xcit_small_12_p16_384_dist	195.15	490.178	96	384	26.25
528	poolformer_m48	192.74	495.644	96	224	73.47
529	xcit_tiny_24_p16_384_dist	188.23	506.657	96	384	12.12
530	seresnet200d	187.28	508.352	96	256	71.86
531	ecaresnet200d	180.23	529.288	96	256	64.69
532	regnetz_b16	180.04	1064.958	192	288	9.72
533	convmixer_768_32	179.96	532.189	96	224	21.11
534	repvgg_b1g4	179.05	2858.541	512	224	39.97
535	regnetx_032	178.17	2153.981	384	224	15.3
536	nest_base	178.06	357.8	64	224	67.72
537	regnety_032	177.84	1438.077	256	288	19.44
538	jx_nest_base	177.82	358.268	64	224	67.72
539	resnest50d	177.64	1439.759	256	224	27.48
540	gluon_senet154	176.66	540.173	96	224	115.09
541	legacy_senet154	176.51	540.595	96	224	115.09
542	swin_v2_cr_base_224	176.18	360.924	64	224	87.88
543	senet154	175.91	542.436	96	224	115.09
544	swin_s3_base_224	175.78	361.468	64	224	71.13
545	dpn107	172.56	554.611	96	224	86.92
546	seresnet152d	171.73	369.416	64	320	66.84
547	resnetrs152	170.84	371.345	64	320	86.62
548	halonet_h1	170.19	374.644	64	256	8.1
549	resnet200d	166.41	381.713	64	320	64.69
550	resnest50d_4s2x40d	165.16	1548.618	256	224	30.42
551	efficientnet_b3_gn	165.05	386.066	64	320	11.73
552	convnext_large_in22ft1k	165.0	580.132	96	224	197.77
553	mixer_l16_224	164.87	580.828	96	224	208.2
554	convnext_large	164.55	581.706	96	224	197.77
555	regnetx_040	161.41	2377.974	384	224	22.12
556	tnt_s_patch16_224	160.55	795.443	128	224	23.76
557	regnety_040s_gn	150.6	848.376	128	224	20.65
558	regnetx_080	149.33	2570.458	384	224	39.57
559	efficientnetv2_m	148.8	319.462	48	416	54.14
560	vit_large_patch32_384	148.01	430.873	64	384	306.63
561	xcit_small_12_p8_224	147.15	433.155	64	224	26.21
562	xcit_small_12_p8_224_dist	147.09	433.349	64	224	26.21
563	ssl_resnext101_32x8d	147.0	869.242	128	224	88.79
564	ig_resnext101_32x8d	146.08	874.69	128	224	88.79
565	resnext101_32x8d	145.7	876.913	128	224	88.79
566	swsl_resnext101_32x8d	145.58	877.666	128	224	88.79
567	regnetz_e8	145.15	328.705	48	320	57.7
568	volo_d3_224	144.0	442.004	64	224	86.33
569	xcit_tiny_24_p8_224	141.24	676.422	96	224	12.11
570	xcit_tiny_24_p8_224_dist	141.08	677.134	96	224	12.11
571	resnetv2_50x1_bitm	139.17	344.083	48	448	25.55
572	seresnet269d	135.41	466.832	64	256	113.67
573	swin_large_patch4_window7_224	135.03	472.167	64	224	196.53
574	xcit_nano_12_p8_384_dist	130.74	487.752	64	384	3.05
575	tnt_b_patch16_224	128.41	745.748	96	224	65.41
576	xcit_large_24_p16_224	126.55	502.346	64	224	189.1
577	xcit_large_24_p16_224_dist	126.43	502.798	64	224	189.1
578	efficientnetv2_rw_m	125.71	251.147	32	416	53.24
579	regnetx_064	124.66	2052.691	256	224	26.21
580	resnetrs200	122.11	388.798	48	320	93.21
581	dm_nfnet_f0	120.79	1588.27	192	256	71.49
582	regnety_040	120.68	1589.481	192	288	20.65
583	nfnet_f0	120.42	2124.657	256	256	71.49
584	regnetv_040	118.46	1079.092	128	288	20.64
585	ese_vovnet99b_iabn	118.26	3243.909	384	224	63.2
586	regnetz_b16_evos	116.8	546.096	64	288	9.74
587	efficientnet_b0_g8_gn	116.53	2195.74	256	224	6.56
588	regnetz_c16_evos	114.31	418.055	48	320	13.49
589	swin_v2_cr_large_224	108.78	438.885	48	224	196.68
590	tf_efficientnetv2_m_in21ft1k	108.7	291.236	32	480	54.14
591	tf_efficientnetv2_m	108.35	292.175	32	480	54.14
592	vit_large_patch16_224	108.17	442.193	48	224	304.33
593	convnext_xlarge_in22ft1k	107.24	595.043	64	224	350.2
594	crossvit_15_dagger_408	104.58	304.132	32	408	28.5
595	tresnet_l	104.32	4904.502	512	224	55.99
596	vit_base_patch16_18x2_224	104.09	458.533	48	224	256.73
597	repvgg_b2g4	101.53	5041.523	512	224	61.76
598	eca_nfnet_l1	100.88	1267.001	128	320	41.41
599	beit_large_patch16_224	100.32	476.403	48	224	304.43
600	xcit_small_24_p16_384_dist	99.8	477.482	48	384	47.67
601	cspdarknet53_iabn	98.78	3885.053	384	256	27.64
602	efficientnet_b5	96.37	329.642	32	456	30.39
603	convnext_tiny_384_in22ft1k	96.12	497.65	48	384	88.59
604	convnext_small_384_in22ft1k	96.06	497.96	48	384	88.59
605	convnext_base_384_in22ft1k	95.88	498.886	48	384	88.59
606	tf_efficientnet_b5	94.64	335.672	32	456	30.39
607	tf_efficientnet_b5_ns	94.45	336.36	32	456	30.39
608	tf_efficientnet_b5_ap	94.33	336.768	32	456	30.39
609	regnetz_d8_evos	94.31	337.348	32	320	23.46
610	xcit_tiny_12_p8_384_dist	94.1	508.387	48	384	6.71
611	volo_d4_224	93.96	508.449	48	224	192.96
612	regnetz_040h	93.67	681.392	64	320	28.94
613	regnetz_040	93.38	683.596	64	320	27.12
614	volo_d1_384	93.34	341.484	32	384	26.78
615	deit_base_patch16_384	91.68	348.207	32	384	86.86
616	tresnet_xl	91.43	4196.241	384	224	78.44
617	vit_base_patch16_384	91.19	350.061	32	384	86.86
618	swin_v2_cr_tiny_384	90.49	352.393	32	384	28.33
619	cspresnext50_iabn	90.44	4243.373	384	256	20.57
620	deit_base_distilled_patch16_384	89.77	355.647	32	384	87.63
621	resnest101e	89.04	1435.031	128	256	48.28
622	cait_xxs24_384	87.86	361.779	32	384	12.03
623	resnetv2_152x2_bit_teacher	86.24	368.749	32	224	236.34
624	nf_regnet_b5	85.98	741.696	64	456	49.74
625	resnetv2_101x1_bitm	85.74	371.65	32	448	44.54
626	repvgg_b3g4	84.87	4523.286	384	224	83.83
627	seresnext101_32x8d	82.05	777.804	64	288	93.57
628	crossvit_18_dagger_408	78.89	302.153	24	408	44.61
629	regnetx_120	77.59	3298.519	256	224	46.11
630	beit_base_patch16_384	77.5	308.622	24	384	86.74
631	ecaresnet269d	77.22	409.805	32	352	102.09
632	vit_large_patch14_224	76.42	417.211	32	224	304.2
633	pnasnet5large	76.37	415.337	32	331	86.06
634	regnety_120	76.06	2523.147	192	224	51.82
635	xcit_small_24_p8_224_dist	74.34	427.129	32	224	47.63
636	xcit_small_24_p8_224	74.3	427.381	32	224	47.63
637	vit_large_r50_s32_384	74.29	428.354	32	384	329.09
638	resnetrs270	73.96	426.877	32	352	129.86
639	regnety_064	72.72	1758.529	128	288	30.58
640	xcit_medium_24_p16_384_dist	72.0	441.154	32	384	84.4
641	regnetv_064	71.99	1776.312	128	288	30.58
642	regnetz_d32	71.61	892.143	64	320	27.58
643	resmlp_big_24_224	67.65	471.502	32	224	129.14
644	resmlp_big_24_distilled_224	67.55	472.229	32	224	129.14
645	resmlp_big_24_224_in22ft1k	67.54	472.283	32	224	129.14
646	regnety_320	67.39	1897.989	128	224	145.05
647	nasnetalarge	66.66	475.073	32	331	88.75
648	regnetx_160	64.8	2961.678	192	224	54.28
649	regnety_080	64.56	1981.56	128	288	39.18
650	efficientnet_b3_g8_gn	62.22	1026.855	64	320	14.25
651	convmixer_1024_20_ks9_p14	61.3	4175.375	256	224	24.38
652	swin_base_patch4_window12_384	61.18	390.429	24	384	87.9
653	cait_xs24_384	60.88	391.766	24	384	26.67
654	efficientnetv2_l	60.88	258.466	16	480	118.52
655	efficientnet_b0_g16_evos	60.54	6341.858	384	224	8.11
656	volo_d5_224	60.14	529.003	32	224	295.46
657	tf_efficientnetv2_l_in21ft1k	59.38	265.08	16	480	118.52
658	tf_efficientnetv2_l	59.33	265.325	16	480	118.52
659	vit_base_patch8_224	58.77	271.439	16	224	86.58
660	cait_xxs36_384	57.81	411.427	24	384	17.37
661	convnext_large_384_in22ft1k	56.3	566.668	32	384	197.77
662	xcit_medium_24_p8_224	55.39	574.459	32	224	84.32
663	xcit_medium_24_p8_224_dist	55.37	574.617	32	224	84.32
664	vit_base_r50_s16_384	54.43	292.359	16	384	98.95
665	vit_base_resnet50_384	54.42	292.382	16	384	98.95
666	swin_v2_cr_small_384	54.01	293.873	16	384	49.7
667	tresnet_m_448	53.37	3595.072	192	448	31.39
668	volo_d2_384	52.96	300.372	16	384	58.87
669	xcit_small_12_p8_384_dist	50.48	473.643	24	384	26.21
670	regnety_160	48.6	1974.142	96	288	83.59
671	xcit_tiny_24_p8_384_dist	47.78	666.46	32	384	12.11
672	swsl_resnext101_32x16d	47.43	2022.519	96	224	194.03
673	ig_resnext101_32x16d	47.42	2022.744	96	224	194.03
674	ssl_resnext101_32x16d	47.33	2027.008	96	224	194.03
675	resnetrs350	46.92	503.827	24	384	163.96
676	regnetx_320	46.0	2781.369	128	224	107.81
677	cait_s24_384	45.47	349.358	16	384	47.06
678	eca_nfnet_l2	44.85	1424.203	64	384	56.72
679	swin_v2_cr_huge_224	44.03	360.964	16	224	657.83
680	xcit_large_24_p16_384_dist	43.83	544.238	24	384	189.1
681	efficientnet_b6	42.4	374.556	16	528	43.04
682	swin_v2_cr_base_384	41.62	382.084	16	384	87.88
683	tf_efficientnet_b6	41.4	383.615	16	528	43.04
684	tf_efficientnet_b6_ns	41.39	383.737	16	528	43.04
685	tf_efficientnet_b6_ap	41.38	383.814	16	528	43.04
686	nfnet_f1	40.44	2371.983	96	320	132.63
687	dm_nfnet_f1	38.48	1661.038	64	320	132.63
688	vit_huge_patch14_224	38.43	414.258	16	224	632.05
689	swin_large_patch4_window12_384	37.29	427.283	16	384	196.74
690	efficientnet_b7	36.33	216.757	8	600	66.35
691	tf_efficientnetv2_xl_in21ft1k	36.25	325.472	12	512	208.12
692	tf_efficientnet_b7_ap	35.67	220.798	8	600	66.35
693	tf_efficientnet_b7_ns	35.48	221.953	8	600	66.35
694	tf_efficientnet_b7	35.47	221.939	8	600	66.35
695	efficientnetv2_xl	35.3	334.216	12	512	208.12
696	convnext_xlarge_384_in22ft1k	34.93	456.323	16	384	350.2
697	xcit_large_24_p8_224_dist	32.32	491.645	16	224	188.93
698	xcit_large_24_p8_224	32.31	491.872	16	224	188.93
699	densenet264d_iabn	32.2	3970.866	128	224	72.74
700	resnetrs420	31.96	491.372	16	416	191.89
701	resnetv2_50x3_bitm	31.49	507.255	16	448	217.32
702	resnest200e	31.48	1519.686	48	320	70.2
703	cait_s36_384	29.84	398.239	12	384	68.37
704	resnetv2_152x2_bit_teacher_384	29.48	404.769	12	384	236.34
705	vit_large_patch16_384	26.9	295.811	8	384	304.72
706	xcit_small_24_p8_384_dist	25.67	620.053	16	384	47.63
707	tresnet_l_448	25.26	5063.842	128	448	55.99
708	swin_v2_cr_large_384	24.64	322.332	8	384	196.68
709	eca_nfnet_l3	24.27	1315.168	32	448	72.04
710	beit_large_patch16_384	23.0	345.85	8	384	305.0
711	tresnet_xl_448	22.99	4172.388	96	448	78.44
712	efficientnet_cc_b0_8e	22.43	42.825	1	224	24.01
713	nfnet_f2	22.22	2156.946	48	352	193.78
714	volo_d3_448	22.16	268.408	6	448	86.63
715	vit_giant_patch14_224	21.83	363.834	8	224	1012.61
716	dm_nfnet_f2	21.64	1475.547	32	352	193.78
717	resnetv2_152x2_bitm	21.52	369.432	8	448	236.34
718	efficientnet_cc_b0_4e	20.51	46.86	1	224	13.31
719	tf_efficientnet_cc_b0_4e	19.96	48.206	1	224	13.31
720	xcit_medium_24_p8_384_dist	18.25	434.872	8	384	84.32
721	ig_resnext101_32x32d	18.09	1767.053	32	224	468.53
722	tf_efficientnet_cc_b0_8e	17.78	54.484	1	224	24.01
723	efficientnet_cc_b1_8e	17.74	54.107	1	240	39.72
724	resnetv2_101x3_bitm	17.38	458.802	8	448	387.93
725	tf_efficientnet_cc_b1_8e	17.01	56.332	1	240	39.72
726	volo_d4_448	16.53	360.493	6	448	193.41
727	resnest269e	13.1	1825.366	24	416	110.93
728	efficientnet_b8	12.26	485.693	6	672	87.41
729	nfnet_f3	12.1	1978.567	24	416	254.92
730	tf_efficientnet_b8	11.89	500.911	6	672	87.41
731	tf_efficientnet_b8_ap	11.89	500.858	6	672	87.41
732	dm_nfnet_f3	11.77	2034.476	24	416	254.92
733	cait_m36_384	11.53	516.589	6	384	271.22
734	xcit_large_24_p8_384_dist	11.09	537.486	6	384	188.93
735	volo_d5_448	10.86	365.099	4	448	295.91
736	swin_v2_cr_huge_384	9.72	306.157	3	384	657.94
737	convmixer_1536_20	9.61	4992.24	48	224	51.63
738	tf_efficientnet_l2_ns_475	8.93	330.392	3	475	480.31
739	ig_resnext101_32x48d	8.5	1880.833	16	224	828.41
740	beit_large_patch16_512	8.47	351.949	3	512	305.67
741	volo_d5_512	6.98	283.446	2	512	296.09
742	nfnet_f4	6.43	1861.542	12	512	316.07
743	dm_nfnet_f4	6.21	1926.442	12	512	316.07
744	cait_m48_448	4.67	423.202	2	448	356.46
745	nfnet_f5	4.64	1718.999	8	544	377.21
746	dm_nfnet_f5	4.45	1789.915	8	544	377.21
747	nfnet_f6	3.52	1695.187	6	576	438.36
748	dm_nfnet_f6	3.37	1774.692	6	576	438.36
749	resnetv2_152x4_bitm	3.2	310.383	1	480	936.53
750	nfnet_f7	2.65	1499.45	4	608	499.5
751	efficientnet_l2	2.12	466.427	1	800	480.31
752	tf_efficientnet_l2_ns	2.09	472.26	1	800	480.31