pytorch-image-models/results/benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv

1	model	train_samples_per_sec	train_step_time	train_batch_size	train_img_size	param_count
2	tinynet_e	11915.85	41.681	512	106	2.04
3	mobilenetv3_small_050	11290.99	44.293	512	224	1.59
4	lcnet_035	10015.98	50.125	512	224	1.64
5	lcnet_050	9286.37	54.37	512	224	1.88
6	tf_mobilenetv3_small_minimal_100	9042.22	55.986	512	224	2.04
7	mobilenetv3_small_075	8679.98	58.254	512	224	2.04
8	mobilenetv3_small_100	8035.08	62.981	512	224	2.54
9	tinynet_d	7990.69	63.223	512	152	2.34
10	tf_mobilenetv3_small_075	7930.1	63.8	512	224	2.04
11	tf_mobilenetv3_small_100	7330.24	69.047	512	224	2.54
12	lcnet_075	6950.91	73.156	512	224	2.36
13	levit_128s	6539.16	77.346	512	224	7.78
14	resnet10t	6318.63	80.774	512	176	5.44
15	mnasnet_small	5607.09	90.422	512	224	2.03
16	lcnet_100	5354.67	95.126	512	224	2.95
17	mixer_s32_224	4943.04	103.013	512	224	19.1
18	mobilenetv2_035	4789.43	106.101	512	224	1.68
19	mnasnet_050	4680.08	108.62	512	224	2.22
20	levit_128	4558.28	111.213	512	224	9.21
21	cs3darknet_focus_s	4469.48	114.041	512	256	3.27
22	vit_small_patch32_224	4445.76	114.324	512	224	22.88
23	tinynet_c	4167.16	121.826	512	184	2.46
24	gernet_s	4165.03	122.198	512	224	8.17
25	cs3darknet_s	4110.51	124.007	512	256	3.28
26	regnetx_002	4105.04	124.027	512	224	2.68
27	mobilenetv2_050	4051.14	125.606	512	224	1.97
28	vit_tiny_r_s16_p8_224	4025.23	126.328	512	224	6.34
29	semnasnet_050	3904.91	130.185	512	224	2.08
30	regnety_002	3777.81	134.562	512	224	3.16
31	levit_192	3727.29	136.213	512	224	10.95
32	ghostnet_050	3670.99	138.144	512	224	2.59
33	ese_vovnet19b_slim_dw	3629.92	140.575	512	224	1.9
34	lcnet_150	3576.28	142.665	512	224	4.5
35	gluon_resnet18_v1b	3482.17	146.691	512	224	11.69
36	resnet18	3481.78	146.713	512	224	11.69
37	swsl_resnet18	3480.5	146.765	512	224	11.69
38	ssl_resnet18	3477.04	146.904	512	224	11.69
39	resnet14t	3472.37	147.102	512	176	10.08
40	tf_efficientnetv2_b0	3428.08	148.143	512	192	7.14
41	tf_mobilenetv3_large_minimal_100	3366.45	151.356	512	224	3.92
42	mnasnet_075	3238.88	157.273	512	224	3.17
43	tf_mobilenetv3_large_075	3189.08	159.67	512	224	3.99
44	seresnet18	3138.91	162.608	512	224	11.78
45	mobilenetv3_large_075	3095.0	164.56	512	224	3.99
46	legacy_seresnet18	3076.04	165.928	512	224	11.78
47	hardcorenas_a	2971.63	171.576	512	224	5.26
48	levit_256	2956.43	172.043	512	224	18.89
49	mnasnet_b1	2930.02	173.933	512	224	4.38
50	mnasnet_100	2929.31	173.976	512	224	4.38
51	tf_mobilenetv3_large_100	2907.93	175.204	512	224	5.48
52	resnet18d	2875.3	177.69	512	224	11.71
53	tinynet_b	2851.82	178.435	512	188	3.73
54	hardcorenas_b	2772.42	183.73	512	224	5.18
55	hardcorenas_c	2763.94	184.272	512	224	5.52
56	mobilenetv3_rw	2754.46	184.981	512	224	5.48
57	nf_regnet_b0	2740.89	185.595	512	192	8.76
58	mobilenetv3_large_100_miil	2733.62	186.4	512	224	5.48
59	mobilenetv3_large_100	2732.43	186.472	512	224	5.48
60	ese_vovnet19b_slim	2684.58	190.344	512	224	3.17
61	spnasnet_100	2610.47	195.171	512	224	4.42
62	mobilenetv2_075	2609.91	195.379	512	224	2.64
63	semnasnet_075	2603.1	195.762	512	224	2.91
64	hardcorenas_d	2566.48	198.271	512	224	7.5
65	tf_efficientnetv2_b1	2548.95	199.349	512	192	8.14
66	levit_256d	2522.09	201.424	512	224	26.21
67	fbnetc_100	2397.58	212.548	512	224	5.57
68	tinynet_a	2334.41	218.035	512	192	6.19
69	mobilenetv2_100	2313.1	220.563	512	224	3.5
70	vit_tiny_patch16_224	2299.56	221.804	512	224	5.72
71	mnasnet_a1	2291.94	222.453	512	224	3.89
72	deit_tiny_patch16_224	2290.33	222.697	512	224	5.72
73	semnasnet_100	2279.15	223.737	512	224	3.89
74	edgenext_xx_small	2271.04	224.572	512	256	1.33
75	dla46_c	2266.89	225.115	512	224	1.3
76	hardcorenas_f	2252.64	226.141	512	224	8.2
77	deit_tiny_distilled_patch16_224	2248.67	226.799	512	224	5.91
78	hardcorenas_e	2245.94	226.861	512	224	8.07
79	xcit_nano_12_p16_224_dist	2177.52	233.052	512	224	3.05
80	xcit_nano_12_p16_224	2170.17	234.054	512	224	3.05
81	tf_efficientnet_lite0	2134.89	239.057	512	224	4.65
82	ghostnet_100	2129.82	239.0	512	224	5.18
83	hrnet_w18_small	2121.96	239.906	512	224	13.19
84	regnety_004	2085.76	244.311	512	224	4.34
85	efficientnet_lite0	2079.28	245.485	512	224	4.65
86	cs3darknet_focus_m	2062.98	247.547	512	256	9.3
87	pit_ti_distilled_224	2061.94	247.414	512	224	5.1
88	mnasnet_140	2060.59	247.645	512	224	7.12
89	pit_ti_224	2057.02	247.989	512	224	4.85
90	gluon_resnet34_v1b	2039.68	250.446	512	224	21.8
91	tv_resnet34	2038.39	250.573	512	224	21.8
92	resnet34	2036.51	250.813	512	224	21.8
93	ese_vovnet19b_dw	1999.58	255.562	512	224	6.54
94	resnet26	1962.0	260.488	512	224	16.0
95	tf_efficientnetv2_b2	1951.52	260.748	512	208	10.1
96	skresnet18	1943.81	262.753	512	224	11.96
97	cs3darknet_m	1940.79	263.122	512	256	9.31
98	regnetz_005	1916.17	265.765	512	224	7.12
99	resnetblur18	1897.99	269.406	512	224	11.69
100	rexnetr_100	1893.12	201.724	384	224	4.88
101	nf_resnet26	1869.64	273.344	512	224	16.0
102	mobilenetv2_110d	1868.27	204.505	384	224	4.52
103	visformer_tiny	1861.63	274.356	512	224	10.32
104	mixer_b32_224	1856.75	274.965	512	224	60.29
105	seresnet34	1837.21	277.783	512	224	21.96
106	fbnetv3_b	1825.5	278.744	512	224	8.6
107	mobilevitv2_050	1824.87	279.552	512	256	1.37
108	gernet_m	1822.12	280.293	512	224	21.14
109	resnet34d	1813.16	281.758	512	224	21.82
110	levit_384	1801.0	283.153	512	224	39.13
111	legacy_seresnet34	1781.32	286.529	512	224	21.96
112	regnetx_004	1780.61	286.47	512	224	5.16
113	tf_efficientnet_b0_ns	1779.24	214.77	384	224	5.29
114	tf_efficientnet_b0	1779.02	214.765	384	224	5.29
115	tf_efficientnet_b0_ap	1777.73	214.898	384	224	5.29
116	efficientnet_b0	1751.72	291.183	512	224	5.29
117	selecsls42	1718.76	297.231	512	224	30.35
118	selecsls42b	1710.18	298.726	512	224	32.46
119	vit_base_patch32_224	1708.63	298.818	512	224	88.22
120	vit_base_patch32_224_sam	1707.5	298.997	512	224	88.22
121	efficientnet_es_pruned	1687.32	302.688	512	224	5.44
122	resnetrs50	1686.45	302.42	512	160	35.69
123	efficientnet_es	1686.11	302.906	512	224	5.44
124	mixer_s16_224	1660.76	307.737	512	224	18.53
125	darknet17	1654.01	309.253	512	256	14.3
126	mobilenetv2_140	1637.57	233.691	384	224	6.11
127	fbnetv3_d	1634.54	233.136	384	224	10.31
128	tf_efficientnet_es	1623.9	314.542	512	224	5.44
129	resnet26d	1623.31	314.899	512	224	16.01
130	mobilevit_xxs	1602.81	238.427	384	256	1.27
131	resmlp_12_distilled_224	1577.54	323.769	512	224	15.35
132	resmlp_12_224	1577.31	323.803	512	224	15.35
133	pit_xs_224	1555.66	328.198	512	224	10.62
134	pit_xs_distilled_224	1555.48	328.255	512	224	11.0
135	semnasnet_140	1546.19	330.184	512	224	6.11
136	ghostnet_130	1542.47	330.535	512	224	7.36
137	repvgg_b0	1538.07	331.828	512	224	15.82
138	efficientnet_lite1	1530.99	166.26	256	240	5.42
139	dla34	1524.02	335.337	512	224	15.74
140	edgenext_x_small	1512.48	337.399	512	256	2.34
141	darknet21	1486.14	344.159	512	256	20.86
142	selecsls60	1482.76	344.397	512	224	30.67
143	selecsls60b	1478.62	345.378	512	224	32.77
144	nf_seresnet26	1473.71	346.754	512	224	17.4
145	vit_small_patch32_384	1455.89	350.818	512	384	22.92
146	gmixer_12_224	1448.32	352.721	512	224	12.7
147	efficientnet_b1_pruned	1446.82	352.35	512	240	6.33
148	tf_efficientnet_lite1	1443.47	176.394	256	240	5.42
149	nf_ecaresnet26	1440.41	354.896	512	224	16.0
150	xcit_tiny_12_p16_224_dist	1426.36	357.157	512	224	6.72
151	xcit_tiny_12_p16_224	1426.18	357.168	512	224	6.72
152	sedarknet21	1401.98	364.696	512	256	20.95
153	rexnetr_130	1388.84	183.199	256	224	7.61
154	dla46x_c	1388.59	367.953	512	224	1.07
155	gmlp_ti16_224	1381.11	276.449	384	224	5.87
156	mixnet_s	1365.54	373.667	512	224	4.13
157	rexnet_100	1364.31	280.319	384	224	4.8
158	regnety_006	1361.43	374.963	512	224	6.06
159	mobilenetv2_120d	1352.9	188.013	256	224	5.83
160	legacy_seresnext26_32x4d	1349.26	378.798	512	224	16.79
161	crossvit_tiny_240	1348.01	378.219	512	240	7.01
162	vit_tiny_r_s16_p8_384	1345.31	284.562	384	384	6.36
163	poolformer_s12	1342.54	380.659	512	224	11.92
164	dla60x_c	1341.77	380.621	512	224	1.32
165	efficientnet_b1	1325.85	191.544	256	224	7.79
166	resnetv2_50	1288.61	396.553	512	224	25.55
167	regnetx_006	1286.44	397.176	512	224	6.2
168	crossvit_9_240	1258.73	303.637	384	240	8.55
169	convnext_nano_ols	1252.33	408.151	512	224	15.6
170	convnext_nano_hnf	1249.05	409.138	512	224	15.59
171	resnet26t	1237.34	413.275	512	256	16.01
172	tf_mixnet_s	1236.15	412.905	512	224	4.13
173	nf_regnet_b2	1229.56	414.759	512	240	14.31
174	rexnetr_150	1224.57	207.878	256	224	9.78
175	gluon_resnet50_v1b	1219.23	419.12	512	224	25.56
176	tv_resnet50	1218.99	419.17	512	224	25.56
177	crossvit_9_dagger_240	1218.38	313.701	384	240	8.78
178	resnet50	1218.01	419.528	512	224	25.56
179	swsl_resnet50	1217.39	419.737	512	224	25.56
180	ssl_resnet50	1217.38	419.757	512	224	25.56
181	cs3darknet_focus_l	1216.61	314.788	384	256	21.15
182	repvgg_a2	1214.87	420.579	512	224	28.21
183	cs3darknet_l	1203.14	318.267	384	256	21.16
184	gernet_l	1201.09	425.379	512	256	31.08
185	efficientnet_lite2	1191.67	213.855	256	260	6.09
186	nf_regnet_b1	1181.15	431.966	512	256	10.22
187	seresnext26d_32x4d	1178.86	325.051	384	224	16.81
188	botnet26t_256	1178.34	325.281	384	256	12.49
189	seresnext26tn_32x4d	1177.85	325.355	384	224	16.81
190	seresnext26t_32x4d	1176.65	325.669	384	224	16.81
191	mobilevitv2_075	1174.29	217.001	256	256	2.87
192	ecaresnext50t_32x4d	1159.52	330.605	384	224	15.41
193	ecaresnext26t_32x4d	1158.26	330.961	384	224	15.41
194	gluon_resnet50_v1c	1147.86	333.697	384	224	25.58
195	halonet26t	1136.15	337.402	384	256	12.48
196	resnetv2_50d	1134.86	450.316	512	224	25.57
197	resnetv2_50t	1132.89	451.133	512	224	25.57
198	edgenext_small	1127.71	452.849	512	256	5.59
199	tf_efficientnet_lite2	1121.02	227.403	256	260	6.09
200	convit_tiny	1118.98	456.53	512	224	5.71
201	skresnet34	1113.08	458.799	512	224	22.28
202	tf_efficientnet_b1	1099.77	231.299	256	240	7.79
203	tf_efficientnet_b1_ap	1099.37	231.402	256	240	7.79
204	efficientnetv2_rw_t	1098.86	230.78	256	224	13.65
205	tf_efficientnet_b1_ns	1098.29	231.567	256	240	7.79
206	ecaresnetlight	1091.16	468.275	512	224	30.16
207	gluon_resnet50_v1d	1084.38	353.226	384	224	25.58
208	dpn68b	1083.77	353.123	384	224	12.61
209	cs3sedarknet_l	1083.42	353.12	384	256	21.91
210	resnet50d	1078.0	355.348	384	224	25.58
211	resnet50t	1076.81	355.721	384	224	25.57
212	resnet32ts	1075.86	237.337	256	256	17.96
213	resnet33ts	1061.36	240.599	256	256	19.68
214	vit_small_patch16_224	1057.92	362.157	384	224	22.05
215	resnetaa50	1057.73	362.204	384	224	25.56
216	vit_small_resnet26d_224	1057.57	362.04	384	224	63.61
217	deit_small_patch16_224	1050.7	364.638	384	224	22.05
218	cspresnet50	1042.19	367.617	384	256	21.62
219	tf_efficientnetv2_b3	1041.71	243.94	256	240	14.36
220	regnetx_008	1034.73	493.971	512	224	7.26
221	ecaresnet26t	1033.34	371.048	384	256	16.01
222	deit_small_distilled_patch16_224	1028.8	372.398	384	224	22.44
223	vit_relpos_base_patch32_plus_rpn_256	1021.86	499.989	512	256	119.42
224	dla60	1020.05	375.488	384	224	22.04
225	res2net50_48w_2s	1018.83	376.079	384	224	25.29
226	gc_efficientnetv2_rw_t	1014.65	249.524	256	224	13.68
227	vit_relpos_small_patch16_rpn_224	1013.69	377.786	384	224	21.97
228	edgenext_small_rw	1011.18	505.339	512	256	7.83
229	pit_s_224	1010.83	378.943	384	224	23.46
230	seresnet33ts	1007.26	253.362	256	256	19.78
231	efficientnet_em	1007.19	253.179	256	240	6.9
232	vovnet39a	1006.62	507.995	512	224	22.6
233	legacy_seresnet50	1003.5	381.52	384	224	28.09
234	gluon_resnext50_32x4d	1001.3	382.689	384	224	25.03
235	tv_resnext50_32x4d	1001.18	382.711	384	224	25.03
236	resnext50_32x4d	1001.03	382.776	384	224	25.03
237	ssl_resnext50_32x4d	1000.68	382.908	384	224	25.03
238	eca_resnet33ts	999.77	255.368	256	256	19.68
239	swsl_resnext50_32x4d	997.37	384.186	384	224	25.03
240	regnety_008	993.3	514.408	512	224	6.26
241	dpn68	992.27	385.859	384	224	12.61
242	deit3_small_patch16_224	987.86	387.777	384	224	22.06
243	deit3_small_patch16_224_in21ft1k	987.15	388.058	384	224	22.06
244	gcresnet33ts	985.12	258.855	256	256	19.88
245	efficientnet_b2a	980.29	259.63	256	256	9.11
246	tf_efficientnet_em	980.0	260.253	256	240	6.9
247	efficientnet_b2	978.68	260.092	256	256	9.11
248	seresnet50	971.79	394.011	384	224	28.09
249	gluon_resnet50_v1s	970.71	394.714	384	224	25.68
250	vit_srelpos_small_patch16_224	969.18	395.281	384	224	21.97
251	vit_relpos_small_patch16_224	965.13	396.742	384	224	21.98
252	ecaresnet50d_pruned	964.18	530.07	512	224	19.94
253	cspresnet50d	956.82	266.672	256	256	21.64
254	vgg11	954.03	536.508	512	224	132.86
255	cspresnet50w	952.27	267.927	256	256	28.12
256	ese_vovnet39b	951.93	537.173	512	224	24.57
257	vit_base_patch32_plus_256	951.5	537.138	512	256	119.48
258	resnetaa50d	950.79	403.026	384	224	25.58
259	eca_vovnet39b	948.4	539.184	512	224	22.6
260	lambda_resnet26rpt_256	942.15	203.17	192	256	10.99
261	pit_s_distilled_224	934.29	273.079	256	224	24.04
262	mobilevit_xs	924.5	275.792	256	256	2.32
263	tv_densenet121	917.93	277.067	256	224	7.98
264	densenet121	913.65	278.353	256	224	7.98
265	resnetblur50	911.91	420.254	384	224	25.56
266	hrnet_w18_small_v2	910.26	559.998	512	224	15.6
267	coat_lite_tiny	909.29	421.406	384	224	5.72
268	mobilevitv2_100	907.45	281.094	256	256	4.9
269	nf_resnet50	900.11	425.722	384	256	25.56
270	resnext50d_32x4d	894.57	285.293	256	224	25.05
271	nf_seresnet50	892.73	428.967	384	224	28.09
272	rexnetr_200	890.57	214.407	192	224	16.52
273	efficientnet_cc_b0_4e	890.34	430.073	384	224	13.31
274	efficientnet_cc_b0_8e	889.37	430.553	384	224	24.01
275	dla60x	886.5	287.775	256	224	17.35
276	twins_svt_small	885.48	432.048	384	224	24.06
277	seresnet50t	879.71	435.29	384	224	28.1
278	mixnet_m	878.04	581.529	512	224	5.01
279	nf_ecaresnet50	875.38	437.674	384	224	25.56
280	efficientnet_b2_pruned	873.9	291.355	256	260	8.31
281	densenet121d	873.44	291.238	256	224	8.0
282	cspresnext50	868.23	294.006	256	256	20.57
283	rexnet_150	866.26	294.391	256	224	9.73
284	ecaresnet50d	862.65	444.205	384	224	25.58
285	fbnetv3_g	862.32	220.642	192	240	16.62
286	regnetz_b16	862.05	295.457	256	224	9.72
287	tf_efficientnet_cc_b0_4e	861.1	444.691	384	224	13.31
288	tf_efficientnet_cc_b0_8e	857.16	446.822	384	224	24.01
289	gcresnet50t	854.99	447.633	384	256	25.9
290	res2net50_26w_4s	851.03	449.921	384	224	25.7
291	coat_lite_mini	849.82	450.985	384	224	11.01
292	tf_efficientnet_b2_ap	849.52	224.466	192	260	9.11
293	tf_efficientnet_b2	848.58	224.736	192	260	9.11
294	tf_efficientnet_b2_ns	847.86	224.983	192	260	9.11
295	vit_base_resnet26d_224	844.62	453.315	384	224	101.4
296	vgg11_bn	832.74	460.889	384	224	132.87
297	vovnet57a	832.06	614.449	512	224	36.64
298	selecsls84	830.17	615.492	512	224	50.95
299	resnetblur50d	826.31	308.964	256	224	25.58
300	convnext_tiny_hnfd	820.9	310.941	256	224	28.59
301	convnext_tiny_hnf	819.46	311.471	256	224	28.59
302	convnext_tiny	819.24	311.536	256	224	28.59
303	convnext_tiny_in22ft1k	818.81	311.724	256	224	28.59
304	rexnet_130	816.78	312.226	256	224	7.56
305	seresnext50_32x4d	814.69	313.102	256	224	27.56
306	legacy_seresnext50_32x4d	813.61	313.477	256	224	27.56
307	gluon_seresnext50_32x4d	813.13	313.678	256	224	27.56
308	skresnet50	808.8	473.357	384	224	25.8
309	visformer_small	806.27	475.588	384	224	40.22
310	res2net50_14w_8s	794.56	319.93	256	224	25.06
311	densenetblur121d	789.33	322.521	256	224	8.0
312	seresnetaa50d	785.32	324.779	256	224	28.11
313	gluon_inception_v3	782.59	489.263	384	299	23.83
314	inception_v3	782.35	489.427	384	299	23.83
315	adv_inception_v3	778.18	491.976	384	299	23.83
316	resmlp_24_distilled_224	777.24	327.895	256	224	30.02
317	resmlp_24_224	776.95	327.972	256	224	30.02
318	tf_inception_v3	775.41	493.776	384	299	23.83
319	ese_vovnet57b	774.18	495.058	384	224	38.61
320	tf_mixnet_m	773.08	495.127	384	224	5.01
321	resnetv2_101	772.45	329.834	256	224	44.54
322	dla60_res2net	767.35	332.099	256	224	20.85
323	nf_regnet_b3	766.23	499.321	384	288	18.59
324	sehalonet33ts	763.66	334.4	256	256	13.69
325	ecaresnet101d_pruned	754.9	676.449	512	224	24.88
326	darknet53	753.16	339.081	256	256	41.61
327	densenet169	752.52	337.551	256	224	14.15
328	resnet101	747.89	340.74	256	224	44.55
329	gluon_resnet101_v1b	747.04	341.055	256	224	44.55
330	tv_resnet101	746.84	341.219	256	224	44.55
331	skresnet50d	739.17	344.891	256	224	25.82
332	twins_pcpvt_small	738.11	345.194	256	224	24.11
333	vit_small_r26_s32_224	733.9	347.477	256	224	36.43
334	mobilevit_s	733.0	260.821	192	256	5.58
335	darknetaa53	732.7	348.577	256	256	36.02
336	xcit_tiny_24_p16_224_dist	727.98	348.335	256	224	12.12
337	xcit_tiny_24_p16_224	727.1	348.63	256	224	12.12
338	efficientnet_b0_gn	724.56	352.174	256	224	5.29
339	efficientnet_b3_pruned	722.23	352.701	256	300	9.86
340	gluon_resnet101_v1c	717.66	355.143	256	224	44.57
341	resnext26ts	717.15	534.946	384	256	10.3
342	resnetv2_101d	715.45	356.238	256	224	44.56
343	gmixer_24_224	714.67	356.582	256	224	24.72
344	resnetrs101	714.37	356.071	256	192	63.62
345	nf_resnet101	712.1	537.603	384	224	44.55
346	efficientnet_lite3	702.44	181.104	128	300	8.2
347	mixnet_l	702.18	545.327	384	224	7.33
348	eca_resnext26ts	694.05	368.289	256	256	10.3
349	semobilevit_s	692.92	368.16	256	256	5.74
350	seresnext26ts	691.18	369.699	256	256	10.39
351	poolformer_s24	689.84	369.792	256	224	21.39
352	gluon_resnet101_v1d	688.26	370.323	256	224	44.57
353	dla102	688.03	370.524	256	224	33.27
354	vit_relpos_medium_patch16_rpn_224	687.13	371.514	256	224	38.73
355	sebotnet33ts_256	686.07	279.058	192	256	13.7
356	gcresnext26ts	683.09	373.929	256	256	10.48
357	regnetx_016	682.73	749.012	512	224	9.19
358	haloregnetz_b	680.78	374.495	256	224	11.68
359	cspdarknet53	679.01	375.961	256	256	27.64
360	vgg13	677.45	566.653	384	224	133.05
361	xcit_nano_12_p16_384_dist	671.72	379.231	256	384	3.05
362	wide_resnet50_2	668.78	573.358	384	224	68.88
363	tf_efficientnet_lite3	665.78	191.165	128	300	8.2
364	vit_relpos_medium_patch16_cls_224	661.77	385.665	256	224	38.76
365	vit_srelpos_medium_patch16_224	659.88	386.996	256	224	38.74
366	rexnet_200	659.06	290.146	192	224	16.37
367	vit_base_resnet50d_224	658.84	386.945	256	224	110.97
368	ecaresnet50t	657.78	388.237	256	256	25.57
369	gmlp_s16_224	657.63	290.408	192	224	19.42
370	vit_relpos_medium_patch16_224	657.05	388.484	256	224	38.75
371	tf_efficientnet_cc_b1_8e	654.82	389.25	256	240	39.72
372	regnety_016	650.07	785.757	512	224	11.2
373	swin_tiny_patch4_window7_224	648.69	393.641	256	224	28.29
374	xcit_small_12_p16_224	640.82	397.688	256	224	26.25
375	gluon_resnet101_v1s	640.79	397.908	256	224	44.67
376	xcit_small_12_p16_224_dist	639.99	398.193	256	224	26.25
377	crossvit_small_240	638.8	399.076	256	240	26.86
378	efficientnet_cc_b1_8e	637.42	399.94	256	240	39.72
379	resnetaa101d	634.86	401.619	256	224	44.57
380	cs3sedarknet_xdw	630.82	302.41	192	256	21.6
381	repvgg_b1	623.55	820.034	512	224	57.42
382	mobilevitv2_125	620.51	308.406	192	256	7.48
383	bat_resnext26ts	613.61	415.954	256	256	10.73
384	gluon_resnext101_32x4d	609.67	418.333	256	224	44.18
385	swsl_resnext101_32x4d	609.02	418.731	256	224	44.18
386	resnext101_32x4d	609.01	418.74	256	224	44.18
387	tf_mixnet_l	606.88	420.297	256	224	7.33
388	ssl_resnext101_32x4d	606.28	420.718	256	224	44.18
389	legacy_seresnet101	601.55	423.316	256	224	49.33
390	cs3darknet_focus_x	600.02	425.715	256	256	35.02
391	dla102x	598.42	319.231	192	224	26.31
392	halonet50ts	597.8	320.205	192	256	22.73
393	xcit_nano_12_p8_224	595.07	428.358	256	224	3.05
394	xcit_nano_12_p8_224_dist	593.27	429.695	256	224	3.05
395	cait_xxs24_224	593.22	428.92	256	224	11.96
396	seresnet101	590.42	431.41	256	224	49.33
397	swin_s3_tiny_224	588.57	433.98	256	224	28.33
398	resnetv2_50x1_bit_distilled	585.83	326.889	192	224	25.55
399	efficientnet_b0_g8_gn	582.67	438.264	256	224	6.56
400	crossvit_15_240	580.46	328.975	192	240	27.53
401	resnetblur101d	576.87	442.155	256	224	44.57
402	res2net50_26w_6s	573.8	444.339	256	224	37.05
403	vgg13_bn	573.47	446.125	256	224	133.05
404	efficientnet_b3a	572.29	221.925	128	288	12.23
405	efficientnet_b3	572.18	221.941	128	288	12.23
406	cs3darknet_x	571.12	447.259	256	256	35.05
407	densenet201	562.52	338.221	192	224	20.01
408	crossvit_15_dagger_240	562.49	339.489	192	240	28.21
409	efficientnetv2_s	559.15	226.702	128	288	21.46
410	eca_botnext26ts_256	558.6	457.666	256	256	10.59
411	mixer_b16_224	556.6	459.152	256	224	59.88
412	mixer_b16_224_miil	556.5	459.202	256	224	59.88
413	eca_halonext26ts	547.96	466.574	256	256	10.76
414	ecaresnet101d	546.58	466.555	256	224	44.57
415	vgg16	546.06	702.994	384	224	138.36
416	mixer_l32_224	543.38	351.819	192	224	206.94
417	vit_base_patch32_384	543.37	470.294	256	384	88.3
418	nf_seresnet101	540.53	471.014	256	224	49.33
419	resnetv2_152	536.63	474.697	256	224	60.19
420	botnet50ts_256	534.71	238.412	128	256	22.74
421	mobilevitv2_150	533.38	238.97	128	256	10.59
422	vit_base_r26_s32_224	533.28	358.697	192	224	101.38
423	mobilevitv2_150_in22ft1k	532.99	239.183	128	256	10.59
424	nf_ecaresnet101	531.3	479.947	256	224	44.55
425	res2next50	528.59	483.023	256	224	24.67
426	res2net101_26w_4s	527.01	483.179	256	224	45.21
427	vit_large_patch32_224	524.74	486.172	256	224	306.54
428	resnet101d	523.85	364.964	192	256	44.57
429	efficientnetv2_rw_s	520.77	243.564	128	288	23.94
430	halo2botnet50ts_256	517.51	369.975	192	256	22.64
431	resmlp_36_distilled_224	513.23	371.84	192	224	44.69
432	vit_tiny_patch16_384	510.99	249.657	128	384	5.79
433	resmlp_36_224	509.53	374.55	192	224	44.69
434	swinv2_cr_tiny_224	506.82	503.861	256	224	28.33
435	mixnet_xl	505.67	504.387	256	224	11.9
436	resnetv2_50d_gn	505.25	379.149	192	224	25.57
437	swinv2_cr_tiny_ns_224	504.1	506.527	256	224	28.33
438	gluon_resnet152_v1b	502.02	380.204	192	224	60.19
439	regnetz_d8	501.8	253.463	128	256	23.37
440	resnet152	501.44	380.547	192	224	60.19
441	tv_resnet152	501.12	380.811	192	224	60.19
442	xception	497.64	256.367	128	299	22.86
443	regnety_032	496.85	771.405	384	224	19.44
444	tf_efficientnet_b3_ap	496.0	256.348	128	300	12.23
445	tf_efficientnet_b3	494.58	257.101	128	300	12.23
446	tf_efficientnet_b3_ns	492.45	258.213	128	300	12.23
447	convnext_small_in22ft1k	490.79	389.411	192	224	50.22
448	res2net50_26w_8s	489.22	520.921	256	224	48.4
449	tf_efficientnetv2_s_in21ft1k	488.77	259.622	128	300	21.46
450	tf_efficientnetv2_s	488.25	259.918	128	300	21.46
451	gluon_resnet152_v1c	488.2	390.894	192	224	60.21
452	convnext_small	487.15	392.394	192	224	50.22
453	twins_pcpvt_base	487.13	391.314	192	224	43.83
454	resnetv2_152d	486.82	392.059	192	224	60.2
455	legacy_seresnext101_32x4d	484.7	393.829	192	224	48.96
456	resnet50_gn	482.45	397.141	192	224	25.56
457	gluon_seresnext101_32x4d	480.63	397.197	192	224	48.96
458	hrnet_w32	480.24	528.215	256	224	41.23
459	sequencer2d_s	480.16	264.213	128	224	27.65
460	seresnext101_32x4d	479.03	398.526	192	224	48.96
461	nest_tiny	477.97	266.889	128	224	17.06
462	dla60_res2next	477.74	534.408	256	224	17.03
463	gluon_resnet152_v1d	476.32	400.788	192	224	60.21
464	regnetz_c16	475.79	402.061	192	256	13.46
465	hrnet_w18	473.42	535.867	256	224	21.3
466	jx_nest_tiny	472.84	269.807	128	224	17.06
467	regnetz_d32	471.85	269.596	128	256	27.58
468	regnetz_040	471.81	269.412	128	256	27.12
469	xception41p	471.79	270.424	128	299	26.91
470	vgg16_bn	470.3	543.999	256	224	138.37
471	regnetz_040h	469.27	270.846	128	256	28.94
472	poolformer_s36	467.39	408.832	192	224	30.86
473	resnet51q	463.81	551.102	256	256	35.7
474	efficientnet_el_pruned	461.98	275.957	128	300	10.59
475	efficientnet_el	461.97	275.94	128	300	10.59
476	coat_lite_small	461.36	414.606	192	224	19.84
477	nf_regnet_b4	457.97	417.049	192	320	30.21
478	vgg19	457.37	839.347	384	224	143.67
479	dla169	455.51	419.044	192	224	53.39
480	convit_small	454.72	421.197	192	224	27.78
481	gluon_resnet152_v1s	452.53	421.917	192	224	60.32
482	tf_efficientnet_el	449.8	283.446	128	300	10.59
483	gcresnext50ts	445.12	429.834	192	256	15.67
484	regnetx_040	442.35	866.937	384	224	22.12
485	vit_small_resnet50d_s16_224	437.26	437.826	192	224	57.53
486	volo_d1_224	437.04	437.842	192	224	26.63
487	mobilevitv2_175_in22ft1k	434.9	293.339	128	256	14.25
488	mobilevitv2_175	434.88	293.341	128	256	14.25
489	resnet61q	433.95	441.405	192	256	36.85
490	ese_vovnet99b	433.24	589.371	256	224	63.2
491	ese_vovnet39b_evos	430.54	296.328	128	224	24.58
492	twins_svt_base	425.02	449.64	192	224	56.07
493	resnest14d	411.87	1242.634	512	224	10.61
494	dla102x2	405.87	313.766	128	224	41.28
495	mobilevitv2_200_in22ft1k	405.83	314.414	128	256	18.45
496	mobilevitv2_200	405.76	314.447	128	256	18.45
497	inception_v4	405.43	471.399	192	299	42.68
498	crossvit_18_240	404.58	314.332	128	240	43.27
499	swin_small_patch4_window7_224	400.37	477.632	192	224	49.61
500	densenet161	399.17	318.189	128	224	28.68
501	vgg19_bn	398.5	642.012	256	224	143.68
502	legacy_seresnet152	398.4	478.588	192	224	66.82
503	vit_base_patch16_224_miil	397.86	481.79	192	224	86.54
504	sequencer2d_m	396.83	480.626	192	224	38.31
505	crossvit_18_dagger_240	396.31	320.926	128	240	44.27
506	resnetv2_50d_frn	394.18	323.553	128	224	25.59
507	vit_base_patch16_224	392.99	487.729	192	224	86.57
508	vit_base_patch16_224_sam	392.92	487.774	192	224	86.57
509	vit_base_patch16_rpn_224	391.32	489.846	192	224	86.54
510	xception41	391.05	326.045	128	299	26.97
511	deit_base_patch16_224	390.04	491.437	192	224	86.57
512	cait_xxs36_224	387.24	492.066	192	224	17.3
513	efficientnet_b0_g16_evos	386.23	993.13	384	224	8.11
514	deit_base_distilled_patch16_224	384.06	499.086	192	224	87.34
515	xcit_tiny_12_p16_384_dist	383.09	499.371	192	384	6.72
516	vit_relpos_base_patch16_rpn_224	382.95	500.328	192	224	86.41
517	seresnet152	379.38	334.127	128	224	66.82
518	resnetv2_50d_evos	374.27	340.812	128	224	25.59
519	deit3_base_patch16_224	374.05	512.341	192	224	86.59
520	deit3_base_patch16_224_in21ft1k	373.84	512.639	192	224	86.59
521	vit_relpos_base_patch16_clsgap_224	370.76	516.704	192	224	86.43
522	vit_relpos_base_patch16_cls_224	370.22	517.437	192	224	86.43
523	hrnet_w30	369.35	688.202	256	224	37.71
524	vit_relpos_base_patch16_224	368.93	519.279	192	224	86.43
525	gluon_resnext101_64x4d	363.93	350.084	128	224	83.46
526	resnext101_64x4d	363.79	350.21	128	224	83.46
527	beit_base_patch16_224	358.77	534.02	192	224	86.53
528	ens_adv_inception_resnet_v2	358.6	532.08	192	299	55.84
529	wide_resnet101_2	358.56	533.868	192	224	126.89
530	inception_resnet_v2	358.54	532.143	192	299	55.84
531	resnet200	357.55	355.04	128	224	64.67
532	resnet152d	357.54	355.729	128	256	60.21
533	swinv2_tiny_window8_256	357.0	536.56	192	256	28.35
534	efficientnet_b4	354.99	268.381	96	320	19.34
535	dpn92	353.0	723.721	256	224	37.67
536	repvgg_b2	352.05	1453.222	512	224	89.02
537	resnest50d_1s4x24d	349.97	730.142	256	224	25.68
538	regnetz_b16_evos	347.19	366.83	128	224	9.74
539	tnt_s_patch16_224	342.71	558.25	192	224	23.76
540	xception65p	341.43	373.588	128	299	39.82
541	convnext_base_in22ft1k	339.67	374.996	128	224	88.59
542	convnext_base	338.68	376.119	128	224	88.59
543	efficientnet_lite4	338.39	187.783	64	380	13.01
544	twins_pcpvt_large	333.52	379.633	128	224	60.99
545	pit_b_224	331.08	385.636	128	224	73.76
546	pit_b_distilled_224	328.87	388.208	128	224	74.79
547	xcit_small_24_p16_224_dist	326.41	388.817	128	224	47.67
548	xcit_small_24_p16_224	326.38	388.806	128	224	47.67
549	tf_efficientnet_lite4	324.6	195.748	64	380	13.01
550	eca_nfnet_l0	319.84	1599.745	512	224	24.14
551	nfnet_l0	319.69	1600.317	512	224	35.07
552	gluon_seresnext101_64x4d	319.51	398.398	128	224	88.23
553	repvgg_b3	316.57	1211.922	384	224	123.09
554	skresnext50_32x4d	315.84	809.121	256	224	27.48
555	poolformer_m36	315.69	403.496	128	224	56.17
556	ssl_resnext101_32x8d	313.35	406.924	128	224	88.79
557	resnext101_32x8d	312.8	407.622	128	224	88.79
558	swsl_resnext101_32x8d	312.76	407.724	128	224	88.79
559	ig_resnext101_32x8d	311.13	409.865	128	224	88.79
560	vit_small_patch16_36x1_224	309.04	411.365	128	224	64.67
561	regnetx_032	308.88	1241.936	384	224	15.3
562	vit_small_patch16_18x2_224	306.57	414.654	128	224	64.67
563	xcit_tiny_12_p8_224	306.37	415.93	128	224	6.71
564	cait_s24_224	305.74	415.965	128	224	46.92
565	xcit_tiny_12_p8_224_dist	304.23	418.886	128	224	6.71
566	swinv2_cr_small_ns_224	300.99	422.86	128	224	49.7
567	twins_svt_large	300.69	423.548	128	224	99.27
568	swinv2_cr_small_224	299.81	424.482	128	224	49.7
569	coat_tiny	298.83	426.275	128	224	5.5
570	resnest26d	298.23	1286.829	384	224	17.07
571	nest_small	296.79	321.765	96	224	38.35
572	jx_nest_small	293.75	325.094	96	224	38.35
573	swin_s3_small_224	290.56	438.612	128	224	49.74
574	dpn98	290.11	439.591	128	224	61.57
575	resnetv2_50d_evob	289.65	330.197	96	224	25.59
576	seresnet152d	283.9	447.414	128	256	66.84
577	gluon_xception65	283.18	337.068	96	299	39.92
578	convnext_tiny_384_in22ft1k	282.39	338.982	96	384	28.59
579	resnetrs152	282.26	450.046	128	256	86.62
580	xception65	281.11	339.548	96	299	39.92
581	swin_base_patch4_window7_224	281.0	453.662	128	224	87.77
582	hrnet_w48	279.44	682.135	192	224	77.47
583	mixnet_xxl	278.4	457.833	128	224	23.96
584	seresnext101_32x8d	278.13	458.033	128	224	93.57
585	gmlp_b16_224	275.97	346.253	96	224	73.08
586	seresnext101d_32x8d	270.35	471.144	128	224	93.59
587	resnet200d	267.1	476.272	128	256	64.69
588	nfnet_f0	265.61	1926.394	512	192	71.49
589	regnetz_e8	256.51	247.489	64	256	57.7
590	xcit_tiny_24_p16_384_dist	255.73	371.975	96	384	12.12
591	crossvit_base_240	254.6	375.374	96	240	105.03
592	dm_nfnet_f0	251.38	1526.301	384	192	71.49
593	hrnet_w40	249.23	765.525	192	224	57.56
594	vit_base_patch16_plus_240	246.96	517.368	128	240	117.56
595	efficientnetv2_m	246.55	256.379	64	320	54.14
596	vit_relpos_base_patch16_plus_240	244.88	521.493	128	240	117.38
597	seresnextaa101d_32x8d	243.89	522.629	128	224	93.59
598	tf_efficientnet_b4_ap	242.14	262.218	64	380	19.34
599	tf_efficientnet_b4	241.83	262.52	64	380	19.34
600	tf_efficientnet_b4_ns	241.46	263.01	64	380	19.34
601	xcit_medium_24_p16_224	241.39	526.926	128	224	84.4
602	xcit_medium_24_p16_224_dist	241.08	527.466	128	224	84.4
603	xcit_small_12_p16_384_dist	240.61	397.192	96	384	26.25
604	vit_small_patch16_384	239.06	266.856	64	384	22.2
605	volo_d2_224	238.89	400.019	96	224	58.68
606	swinv2_tiny_window16_256	238.79	400.76	96	256	28.35
607	mobilevitv2_150_384_in22ft1k	238.1	267.77	64	384	10.59
608	vit_large_r50_s32_224	236.27	403.797	96	224	328.99
609	tresnet_m	233.24	2192.365	512	224	31.39
610	hrnet_w44	232.48	820.975	192	224	67.06
611	poolformer_m48	232.43	410.471	96	224	73.47
612	densenet264	231.27	411.12	96	224	72.69
613	convit_base	231.06	552.947	128	224	86.54
614	nf_regnet_b5	228.54	417.354	96	384	49.74
615	deit3_small_patch16_384	226.74	281.318	64	384	22.21
616	deit3_small_patch16_384_in21ft1k	226.44	281.652	64	384	22.21
617	vit_small_r26_s32_384	226.15	281.726	64	384	36.47
618	coat_mini	225.14	566.497	128	224	10.34
619	efficientnetv2_rw_m	224.46	281.565	64	320	53.24
620	swin_s3_base_224	224.0	425.728	96	224	71.13
621	tnt_b_patch16_224	223.52	570.669	128	224	65.41
622	hrnet_w64	223.29	568.417	128	224	128.06
623	sequencer2d_l	220.03	286.022	64	224	54.3
624	dpn131	216.53	588.962	128	224	79.25
625	vit_base_r50_s16_224	215.49	443.851	96	224	98.66
626	swinv2_cr_base_ns_224	214.73	444.647	96	224	87.88
627	xception71	214.09	296.77	64	299	42.34
628	swinv2_cr_base_224	213.21	447.81	96	224	87.88
629	swinv2_small_window8_256	213.06	448.048	96	256	49.73
630	nest_base	210.25	302.717	64	224	67.72
631	jx_nest_base	209.06	304.441	64	224	67.72
632	seresnet200d	203.53	467.209	96	256	71.86
633	resnetrs200	201.84	471.293	96	256	93.21
634	resnest50d	201.6	1268.493	256	224	27.48
635	ecaresnet200d	201.55	472.938	96	256	64.69
636	xcit_nano_12_p8_384_dist	201.45	315.854	64	384	3.05
637	efficientnet_b3_gn	197.65	322.123	64	288	11.73
638	xcit_tiny_24_p8_224_dist	195.37	488.075	96	224	12.11
639	xcit_tiny_24_p8_224	195.11	488.622	96	224	12.11
640	dpn107	194.08	492.913	96	224	86.92
641	regnetz_c16_evos	193.89	328.188	64	256	13.49
642	regnety_040	190.14	2017.916	384	224	20.65
643	mobilevitv2_175_384_in22ft1k	189.6	336.534	64	384	14.25
644	regnetv_040	188.29	1358.084	256	224	20.64
645	convnext_large	187.93	509.087	96	224	197.77
646	convnext_large_in22ft1k	187.83	509.365	96	224	197.77
647	convmixer_768_32	187.17	511.603	96	224	21.11
648	regnetx_080	181.41	1409.979	256	224	39.57
649	resnest50d_4s2x40d	180.44	1417.38	256	224	30.42
650	xcit_small_12_p8_224	179.5	354.768	64	224	26.21
651	xcit_small_12_p8_224_dist	179.34	355.047	64	224	26.21
652	halonet_h1	176.7	360.706	64	256	8.1
653	tf_efficientnetv2_m_in21ft1k	175.14	270.794	48	384	54.14
654	mobilevitv2_200_384_in22ft1k	175.13	273.08	48	384	18.45
655	tf_efficientnetv2_m	173.37	273.617	48	384	54.14
656	mixer_l16_224	171.41	558.471	96	224	208.2
657	efficientnet_b3_g8_gn	168.79	377.376	64	288	14.25
658	repvgg_b1g4	167.59	3053.943	512	224	39.97
659	vit_large_patch32_384	167.04	573.058	96	384	306.63
660	convnext_small_384_in22ft1k	165.65	384.557	64	384	50.22
661	volo_d3_224	162.19	392.021	64	224	86.33
662	regnetz_d8_evos	155.31	307.002	48	256	23.46
663	swin_large_patch4_window7_224	153.79	414.289	64	224	196.53
664	swinv2_base_window8_256	151.21	420.663	64	256	87.92
665	convmixer_1024_20_ks9_p14	149.3	1713.726	256	224	24.38
666	resnetv2_50x1_bitm	147.75	215.764	32	448	25.55
667	seresnet269d	145.59	433.61	64	256	113.67
668	resnetrs270	144.14	437.83	64	256	129.86
669	swinv2_small_window16_256	143.52	443.487	64	256	49.73
670	regnety_040s_gn	142.58	896.132	128	224	20.65
671	repvgg_b2g4	133.72	3827.892	512	224	61.76
672	eca_nfnet_l1	133.59	1435.413	192	256	41.41
673	xcit_large_24_p16_224	132.6	479.222	64	224	189.1
674	swinv2_cr_tiny_384	131.94	483.86	64	384	28.33
675	xcit_large_24_p16_224_dist	131.66	482.65	64	224	189.1
676	xcit_tiny_12_p8_384_dist	131.64	362.75	48	384	6.71
677	regnetx_064	129.82	1970.916	256	224	26.21
678	swinv2_cr_large_224	124.15	513.018	64	224	196.68
679	xcit_small_24_p16_384_dist	120.64	394.328	48	384	47.67
680	regnety_064	119.44	2141.523	256	224	30.58
681	regnety_080	117.88	2170.37	256	224	39.18
682	crossvit_15_dagger_408	117.86	269.618	32	408	28.5
683	vit_large_patch16_224	117.2	544.512	64	224	304.33
684	regnetv_064	117.03	1638.944	192	224	30.58
685	ese_vovnet99b_iabn	117.02	3278.167	384	224	63.2
686	convnext_xlarge_in22ft1k	116.37	548.167	64	224	350.2
687	vit_base_patch16_18x2_224	116.0	548.972	64	224	256.73
688	convnext_base_384_in22ft1k	115.58	413.454	48	384	88.59
689	efficientnet_b5	113.63	279.129	32	456	30.39
690	deit3_large_patch16_224_in21ft1k	112.51	567.041	64	224	304.37
691	deit3_large_patch16_224	112.48	567.139	64	224	304.37
692	tf_efficientnet_b5	111.42	284.665	32	456	30.39
693	tf_efficientnet_b5_ap	111.14	285.451	32	456	30.39
694	tf_efficientnet_b5_ns	111.14	285.33	32	456	30.39
695	legacy_senet154	110.98	861.567	96	224	115.09
696	senet154	110.82	862.828	96	224	115.09
697	gluon_senet154	110.77	863.12	96	224	115.09
698	beit_large_patch16_224	109.02	584.818	64	224	304.43
699	repvgg_b3g4	108.77	3529.239	384	224	83.83
700	regnetx_160	107.6	1783.261	192	224	54.28
701	nfnet_f1	107.01	1791.907	192	224	132.63
702	volo_d1_384	105.69	301.347	32	384	26.78
703	swinv2_base_window16_256	103.88	459.56	48	256	87.92
704	swinv2_base_window12to16_192to256_22kft1k	103.79	460.002	48	256	87.92
705	tresnet_l	102.82	4975.916	512	224	55.99
706	dm_nfnet_f1	101.59	1257.525	128	224	132.63
707	volo_d4_224	101.08	472.359	48	224	192.96
708	cait_xxs24_384	99.39	480.268	48	384	12.03
709	ecaresnet269d	99.06	479.988	48	320	102.09
710	efficientnetv2_l	98.76	319.521	32	384	118.52
711	tf_efficientnetv2_l_in21ft1k	98.35	320.759	32	384	118.52
712	tf_efficientnetv2_l	97.56	323.47	32	384	118.52
713	deit_base_patch16_384	97.3	328.042	32	384	86.86
714	vit_base_patch16_384	97.1	328.712	32	384	86.86
715	resnest101e	96.09	1329.413	128	256	48.28
716	deit_base_distilled_patch16_384	94.63	337.315	32	384	87.63
717	regnetx_120	94.03	2721.558	256	224	46.11
718	deit3_base_patch16_384	93.5	341.294	32	384	86.88
719	deit3_base_patch16_384_in21ft1k	93.49	341.309	32	384	86.88
720	xcit_small_24_p8_224_dist	92.61	514.968	48	224	47.63
721	xcit_small_24_p8_224	92.51	515.466	48	224	47.63
722	regnety_120	92.07	2083.952	192	224	51.82
723	tresnet_xl	91.15	4209.119	384	224	78.44
724	crossvit_18_dagger_408	89.17	356.787	32	408	44.61
725	resnetv2_152x2_bit_teacher	89.16	356.538	32	224	236.34
726	vit_large_patch14_224	85.06	562.673	48	224	304.2
727	resnetv2_101x1_bitm	84.72	187.286	16	448	44.54
728	resnetrs350	84.14	372.211	32	288	163.96
729	beit_base_patch16_384	83.87	380.424	32	384	86.74
730	regnety_160	83.24	2305.144	192	224	83.59
731	pnasnet5large	83.16	380.801	32	331	86.06
732	xcit_medium_24_p16_384_dist	82.74	383.266	32	384	84.4
733	vit_large_r50_s32_384	77.34	411.186	32	384	329.09
734	nasnetalarge	77.32	408.633	32	331	88.75
735	swinv2_cr_small_384	76.42	416.277	32	384	49.7
736	swin_base_patch4_window12_384	74.73	426.327	32	384	87.9
737	resmlp_big_24_224_in22ft1k	70.88	449.933	32	224	129.14
738	resmlp_big_24_distilled_224	70.88	449.95	32	224	129.14
739	resmlp_big_24_224	70.41	452.99	32	224	129.14
740	regnety_320	66.33	1928.357	128	224	145.05
741	xcit_tiny_24_p8_384_dist	66.29	479.361	32	384	12.11
742	cait_xs24_384	66.24	480.525	32	384	26.67
743	ig_resnext101_32x16d	65.9	1455.165	96	224	194.03
744	ssl_resnext101_32x16d	65.74	1458.688	96	224	194.03
745	swsl_resnext101_32x16d	65.74	1458.738	96	224	194.03
746	volo_d5_224	64.41	493.535	32	224	295.46
747	cait_xxs36_384	64.34	493.602	32	384	17.37
748	efficientnet_b6	64.08	246.77	16	528	43.04
749	xcit_medium_24_p8_224	63.96	496.86	32	224	84.32
750	xcit_medium_24_p8_224_dist	63.93	497.194	32	224	84.32
751	convnext_large_384_in22ft1k	63.85	499.388	32	384	197.77
752	vit_base_patch8_224	63.45	377.425	24	224	86.58
753	tf_efficientnet_b6_ns	63.1	250.577	16	528	43.04
754	tf_efficientnet_b6	62.84	251.669	16	528	43.04
755	tf_efficientnet_b6_ap	62.76	252.073	16	528	43.04
756	efficientnetv2_xl	62.18	251.438	16	384	208.12
757	tf_efficientnetv2_xl_in21ft1k	62.14	251.721	16	384	208.12
758	xcit_small_12_p8_384_dist	61.84	386.224	24	384	26.21
759	vit_base_r50_s16_384	61.01	391.67	24	384	98.95
760	swinv2_large_window12to16_192to256_22kft1k	60.98	391.098	24	256	196.74
761	vit_base_resnet50_384	60.98	391.903	24	384	98.95
762	eca_nfnet_l2	58.72	1632.112	96	320	56.72
763	volo_d2_384	58.5	271.766	16	384	58.87
764	resnetrs420	56.49	415.629	24	320	191.89
765	swinv2_cr_base_384	55.08	433.269	24	384	87.88
766	nfnet_f2	54.73	1750.573	96	256	193.78
767	tresnet_m_448	53.52	3584.333	192	448	31.39
768	dm_nfnet_f2	51.26	1245.084	64	256	193.78
769	cait_s24_384	50.14	476.064	24	384	47.06
770	swinv2_cr_huge_224	49.63	481.092	24	224	657.83
771	regnetx_320	48.06	2662.024	128	224	107.81
772	xcit_large_24_p16_384_dist	48.02	496.416	24	384	189.1
773	swin_large_patch4_window12_384	41.75	381.31	16	384	196.74
774	convnext_xlarge_384_in22ft1k	40.45	591.485	24	384	350.2
775	deit3_huge_patch14_224_in21ft1k	38.41	414.036	16	224	632.13
776	deit3_huge_patch14_224	38.4	414.103	16	224	632.13
777	efficientnet_b7	37.97	207.232	8	600	66.35
778	tf_efficientnet_b7_ap	37.27	210.986	8	600	66.35
779	tf_efficientnet_b7_ns	37.25	211.249	8	600	66.35
780	tf_efficientnet_b7	37.22	211.329	8	600	66.35
781	eca_nfnet_l3	35.61	1344.526	48	352	72.04
782	xcit_large_24_p8_224_dist	35.32	449.68	16	224	188.93
783	xcit_large_24_p8_224	35.06	452.952	16	224	188.93
784	resnetv2_50x3_bitm	34.68	460.605	16	448	217.32
785	swinv2_cr_large_384	32.56	488.949	16	384	196.68
786	cait_s36_384	32.3	491.641	16	384	68.37
787	densenet264d_iabn	32.11	3982.48	128	224	72.74
788	resnetv2_152x2_bit_teacher_384	31.17	382.508	12	384	236.34
789	xcit_small_24_p8_384_dist	31.12	510.761	16	384	47.63
790	resnest200e	30.3	1579.149	48	320	70.2
791	vit_large_patch16_384	29.14	410.147	12	384	304.72
792	deit3_large_patch16_384	28.26	422.768	12	384	304.76
793	deit3_large_patch16_384_in21ft1k	28.25	422.94	12	384	304.76
794	swinv2_base_window12to24_192to384_22kft1k	28.19	423.281	12	384	87.92
795	nfnet_f3	26.1	1834.868	48	320	254.92
796	beit_large_patch16_384	25.3	472.219	12	384	305.0
797	tresnet_l_448	25.28	5060.321	128	448	55.99
798	volo_d3_448	24.7	321.403	8	448	86.63
799	dm_nfnet_f3	24.56	1297.967	32	320	254.92
800	tresnet_xl_448	23.27	4122.323	96	448	78.44
801	efficientnet_b8	22.93	257.589	6	672	87.41
802	tf_efficientnet_b8	22.71	260.18	6	672	87.41
803	tf_efficientnet_b8_ap	22.69	260.555	6	672	87.41
804	resnetv2_152x2_bitm	22.58	351.774	8	448	236.34
805	vit_giant_patch14_224	22.32	355.766	8	224	1012.61
806	ig_resnext101_32x32d	21.03	1519.993	32	224	468.53
807	xcit_medium_24_p8_384_dist	21.03	376.997	8	384	84.32
808	convmixer_1536_20	20.83	2303.059	48	224	51.63
809	resnetv2_101x3_bitm	18.05	441.706	8	448	387.93
810	volo_d4_448	17.57	338.789	6	448	193.41
811	swinv2_large_window12to24_192to384_22kft1k	16.62	358.548	6	384	196.74
812	resnest269e	16.0	1493.085	24	416	110.93
813	nfnet_f4	14.17	1687.74	24	384	316.07
814	swinv2_cr_huge_384	13.13	454.627	6	384	657.94
815	dm_nfnet_f4	12.96	1229.019	16	384	316.07
816	xcit_large_24_p8_384_dist	12.19	488.758	6	384	188.93
817	cait_m36_384	11.91	500.148	6	384	271.22
818	volo_d5_448	11.43	346.654	4	448	295.91
819	ig_resnext101_32x48d	11.2	1427.437	16	224	828.41
820	tf_efficientnet_l2_ns_475	10.96	267.912	3	475	480.31
821	dm_nfnet_f5	9.76	1222.345	12	416	377.21
822	beit_large_patch16_512	9.42	422.548	4	512	305.67
823	nfnet_f5	8.0	1992.337	16	416	377.21
824	volo_d5_512	8.0	371.847	3	512	296.09
825	dm_nfnet_f6	7.45	1065.231	8	448	438.36
826	nfnet_f6	5.82	2052.248	12	448	438.36
827	nfnet_f7	5.73	1387.07	8	480	499.5
828	resnetv2_152x4_bitm	4.89	406.668	2	480	936.53
829	cait_m48_448	4.76	414.936	2	448	356.46
830	efficientnet_l2	3.95	247.515	1	800	480.31
831	tf_efficientnet_l2_ns	3.93	248.975	1	800	480.31