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

1	model	train_samples_per_sec	train_step_time	train_batch_size	train_img_size	param_count
2	tinynet_e	8788.08	57.613	512	106	2.04
3	mobilenetv3_small_050	6451.43	78.69	512	224	1.59
4	tf_mobilenetv3_small_minimal_100	6231.46	81.639	512	224	2.04
5	levit_128s	5345.65	94.962	512	224	7.78
6	lcnet_035	5326.51	95.668	512	224	1.64
7	mobilenetv3_small_075	5149.15	98.754	512	224	2.04
8	lcnet_050	4879.43	104.466	512	224	1.88
9	tf_mobilenetv3_small_075	4839.2	105.1	512	224	2.04
10	mobilenetv3_small_100	4741.69	107.315	512	224	2.54
11	tf_mobilenetv3_small_100	4474.54	113.738	512	224	2.54
12	tinynet_d	4465.05	113.942	512	152	2.34
13	mixer_s32_224	3957.52	128.859	512	224	19.1
14	levit_128	3868.72	131.359	512	224	9.21
15	lcnet_075	3674.09	138.887	512	224	2.36
16	vit_small_patch32_224	3657.34	139.252	512	224	22.88
17	vit_tiny_r_s16_p8_224	3407.13	149.506	512	224	6.34
18	regnetx_002	3372.01	151.204	512	224	2.68
19	levit_192	3357.19	151.505	512	224	10.95
20	mnasnet_small	3158.42	161.274	512	224	2.03
21	regnety_002	3119.2	163.263	512	224	3.16
22	lcnet_100	3075.72	165.994	512	224	2.95
23	mobilenetv2_035	3007.95	169.496	512	224	1.68
24	gernet_s	2901.28	175.82	512	224	8.17
25	gluon_resnet18_v1b	2671.91	191.302	512	224	11.69
26	swsl_resnet18	2669.15	191.488	512	224	11.69
27	ssl_resnet18	2668.71	191.54	512	224	11.69
28	resnet18	2662.83	191.947	512	224	11.69
29	mobilenetv2_050	2596.25	196.482	512	224	1.97
30	levit_256	2559.67	199.033	512	224	18.89
31	regnetx_004	2499.65	203.84	512	224	5.16
32	mnasnet_050	2494.39	204.524	512	224	2.22
33	semnasnet_050	2494.01	204.433	512	224	2.08
34	seresnet18	2463.7	207.356	512	224	11.78
35	ese_vovnet19b_slim_dw	2437.98	209.545	512	224	1.9
36	legacy_seresnet18	2413.99	211.632	512	224	11.78
37	tinynet_c	2389.53	213.326	512	184	2.46
38	tf_mobilenetv3_large_minimal_100	2278.25	224.06	512	224	3.92
39	lcnet_150	2248.73	227.214	512	224	4.5
40	mobilenetv3_large_075	2139.42	238.494	512	224	3.99
41	ghostnet_050	2137.33	238.296	512	224	2.59
42	resnet18d	2046.03	249.892	512	224	11.71
43	tf_mobilenetv3_large_075	2027.78	251.65	512	224	3.99
44	regnetx_006	2023.49	252.29	512	224	6.2
45	ese_vovnet19b_slim	1970.7	259.464	512	224	3.17
46	mobilenetv3_rw	1940.58	263.024	512	224	5.48
47	mobilenetv3_large_100	1936.66	263.562	512	224	5.48
48	mobilenetv3_large_100_miil	1936.5	263.563	512	224	5.48
49	mnasnet_075	1879.23	271.718	512	224	3.17
50	mobilenetv2_075	1868.15	273.318	512	224	2.64
51	tf_efficientnetv2_b0	1853.32	275.137	512	224	7.14
52	tf_mobilenetv3_large_100	1838.66	277.647	512	224	5.48
53	regnety_004	1819.61	280.334	512	224	4.34
54	resnetblur18	1808.21	282.828	512	224	11.69
55	semnasnet_075	1791.94	284.855	512	224	2.91
56	regnety_006	1780.58	286.558	512	224	6.06
57	mobilenetv2_100	1744.9	292.687	512	224	3.5
58	skresnet18	1742.33	293.29	512	224	11.96
59	mnasnet_b1	1686.64	302.825	512	224	4.38
60	mnasnet_100	1686.2	302.919	512	224	4.38
61	deit_tiny_patch16_224	1678.5	304.281	512	224	5.72
62	vit_tiny_patch16_224	1673.2	305.238	512	224	5.72
63	tinynet_b	1669.81	305.621	512	188	3.73
64	hardcorenas_a	1656.9	308.354	512	224	5.26
65	deit_tiny_distilled_patch16_224	1654.85	308.608	512	224	5.91
66	hardcorenas_b	1648.45	309.73	512	224	5.18
67	regnetx_008	1647.09	310.092	512	224	7.26
68	mnasnet_a1	1641.47	311.08	512	224	3.89
69	semnasnet_100	1640.14	311.319	512	224	3.89
70	levit_384	1616.42	315.722	512	224	39.13
71	gluon_resnet34_v1b	1598.5	319.781	512	224	21.8
72	resnet34	1593.87	320.693	512	224	21.8
73	tv_resnet34	1592.81	320.898	512	224	21.8
74	mixer_b32_224	1579.25	323.449	512	224	60.29
75	hardcorenas_c	1569.06	325.387	512	224	5.52
76	visformer_tiny	1563.94	326.764	512	224	10.32
77	spnasnet_100	1551.19	329.16	512	224	4.42
78	pit_ti_distilled_224	1547.24	330.092	512	224	5.1
79	pit_ti_224	1546.92	330.186	512	224	4.85
80	hardcorenas_d	1543.77	330.549	512	224	7.5
81	ghostnet_100	1541.6	330.868	512	224	5.18
82	vit_base_patch32_224	1529.64	333.95	512	224	88.22
83	vit_base_patch32_224_sam	1527.96	334.33	512	224	88.22
84	regnety_008	1525.57	334.693	512	224	6.26
85	resmlp_12_224	1513.1	337.634	512	224	15.35
86	resmlp_12_distilled_224	1513.05	337.643	512	224	15.35
87	seresnet34	1461.69	349.453	512	224	21.96
88	nf_regnet_b0	1450.04	351.967	512	256	8.76
89	legacy_seresnet34	1428.59	357.543	512	224	21.96
90	gernet_m	1427.9	357.926	512	224	21.14
91	ese_vovnet19b_dw	1411.33	362.322	512	224	6.54
92	nf_resnet26	1408.11	363.145	512	224	16.0
93	dla46_c	1390.48	367.526	512	224	1.3
94	tinynet_a	1383.86	368.826	512	192	6.19
95	efficientnet_lite0	1368.92	373.303	512	224	4.65
96	mobilenetv2_110d	1368.66	279.598	384	224	4.52
97	rexnetr_100	1367.14	279.805	384	224	4.88
98	rexnet_100	1361.11	281.051	384	224	4.8
99	resnet34d	1349.98	378.71	512	224	21.82
100	xcit_nano_12_p16_224_dist	1340.16	380.375	512	224	3.05
101	xcit_nano_12_p16_224	1338.66	380.8	512	224	3.05
102	hardcorenas_f	1338.06	381.608	512	224	8.2
103	selecsls42	1328.24	384.874	512	224	30.35
104	ghostnet_130	1326.71	384.661	512	224	7.36
105	selecsls42b	1324.18	386.065	512	224	32.46
106	mixer_s16_224	1308.0	390.939	512	224	18.53
107	resnet26	1305.0	391.896	512	224	16.0
108	tf_efficientnet_lite0	1300.06	393.134	512	224	4.65
109	hardcorenas_e	1287.59	396.566	512	224	8.07
110	hrnet_w18_small	1275.09	400.255	512	224	13.19
111	pit_xs_distilled_224	1245.81	410.186	512	224	11.0
112	pit_xs_224	1244.79	410.521	512	224	10.62
113	mnasnet_140	1243.07	411.14	512	224	7.12
114	fbnetc_100	1241.42	411.527	512	224	5.57
115	mobilenetv2_140	1236.2	309.893	384	224	6.11
116	vit_small_patch32_384	1210.76	422.138	512	384	22.92
117	efficientnet_b0	1207.97	316.872	384	224	5.29
118	semnasnet_140	1199.21	426.076	512	224	6.11
119	nf_seresnet26	1183.4	432.047	512	224	17.4
120	tf_efficientnetv2_b1	1182.26	323.455	384	240	8.14
121	vit_tiny_r_s16_p8_384	1176.2	325.707	384	384	6.36
122	repvgg_b0	1166.7	437.858	512	224	15.82
123	gmixer_12_224	1164.26	439.045	512	224	12.7
124	tf_efficientnet_b0_ns	1155.19	331.423	384	224	5.29
125	tf_efficientnet_b0	1155.11	331.42	384	224	5.29
126	tf_efficientnet_b0_ap	1154.21	331.702	384	224	5.29
127	efficientnet_b1_pruned	1141.45	447.176	512	240	6.33
128	selecsls60	1132.77	451.165	512	224	30.67
129	selecsls60b	1130.1	452.225	512	224	32.77
130	resnet26d	1110.35	460.655	512	224	16.01
131	nf_ecaresnet26	1108.5	461.384	512	224	16.0
132	rexnetr_130	1084.92	234.909	256	224	7.61
133	mixnet_s	1079.62	473.081	512	224	4.13
134	dla34	1055.21	484.649	512	224	15.74
135	dla46x_c	1044.64	489.413	512	224	1.07
136	rexnet_130	1038.12	245.54	256	224	7.56
137	regnetx_016	1027.51	497.437	512	224	9.19
138	mobilenetv2_120d	1026.61	248.294	256	224	5.83
139	ecaresnet50d_pruned	1019.51	501.3	512	224	19.94
140	tf_mixnet_s	1018.74	501.408	512	224	4.13
141	skresnet34	1008.77	506.519	512	224	22.28
142	dla60x_c	999.33	511.452	512	224	1.32
143	gernet_l	994.19	514.18	512	256	31.08
144	xcit_tiny_12_p16_224	974.89	523.578	512	224	6.72
145	xcit_tiny_12_p16_224_dist	974.56	523.762	512	224	6.72
146	rexnetr_150	962.03	265.059	256	224	9.78
147	crossvit_tiny_240	946.09	404.397	384	240	7.01
148	crossvit_9_240	942.0	406.34	384	240	8.55
149	rexnet_150	920.27	277.114	256	224	9.73
150	repvgg_a2	916.8	557.644	512	224	28.21
151	legacy_seresnext26_32x4d	911.29	561.256	512	224	16.79
152	efficientnet_lite1	907.6	281.167	256	240	5.42
153	crossvit_9_dagger_240	907.56	421.794	384	240	8.78
154	regnety_016	905.38	563.868	512	224	11.2
155	convit_tiny	905.04	423.366	384	224	5.71
156	gmlp_ti16_224	895.37	427.435	384	224	5.87
157	efficientnet_es_pruned	894.51	571.683	512	224	5.44
158	efficientnet_es	894.06	571.94	512	224	5.44
159	resnest14d	890.17	574.739	512	224	10.61
160	deit_small_patch16_224	879.08	436.051	384	224	22.05
161	vit_small_patch16_224	877.74	436.745	384	224	22.05
162	tf_efficientnet_es	877.36	582.875	512	224	5.44
163	resnetv2_50	874.29	584.904	512	224	25.55
164	resnext26ts	872.05	439.874	384	256	10.3
165	tf_efficientnet_lite1	870.75	293.088	256	240	5.42
166	resnet26t	867.6	589.639	512	256	16.01
167	tf_efficientnetv2_b2	866.58	294.02	256	260	10.1
168	deit_small_distilled_patch16_224	865.21	443.046	384	224	22.44
169	nf_regnet_b1	863.6	591.527	512	288	10.22
170	nf_regnet_b2	857.0	595.977	512	272	14.31
171	eca_resnext26ts	843.14	303.098	256	256	10.3
172	seresnext26ts	838.62	304.653	256	256	10.39
173	resnet50	826.48	463.878	384	224	25.56
174	ssl_resnet50	826.14	464.04	384	224	25.56
175	botnet26t_256	825.99	464.363	384	256	12.49
176	tv_resnet50	825.99	464.131	384	224	25.56
177	swsl_resnet50	825.61	464.367	384	224	25.56
178	gluon_resnet50_v1b	825.26	464.548	384	224	25.56
179	gcresnext26ts	820.94	311.077	256	256	10.48
180	seresnext26t_32x4d	819.08	468.216	384	224	16.81
181	seresnext26tn_32x4d	818.65	468.46	384	224	16.81
182	seresnext26d_32x4d	816.35	469.756	384	224	16.81
183	pit_s_224	814.17	313.637	256	224	23.46
184	pit_s_distilled_224	813.41	313.92	256	224	24.04
185	vgg11	798.47	641.065	512	224	132.86
186	halonet26t	796.75	481.425	384	256	12.48
187	eca_botnext26ts_256	794.14	321.819	256	256	10.59
188	resnetv2_50t	783.96	652.33	512	224	25.57
189	vit_small_resnet26d_224	783.75	488.981	384	224	63.61
190	ecaresnext26t_32x4d	782.53	490.179	384	224	15.41
191	ecaresnext50t_32x4d	782.45	490.233	384	224	15.41
192	resnetv2_50d	781.21	654.649	512	224	25.57
193	tresnet_m	773.27	659.381	512	224	31.39
194	fbnetv3_d	771.82	329.985	256	256	10.31
195	eca_halonext26ts	770.01	331.906	256	256	10.76
196	cspresnet50	766.64	500.094	384	256	21.62
197	fbnetv3_b	765.95	499.824	384	256	8.6
198	ecaresnet101d_pruned	765.08	667.536	512	224	24.88
199	vovnet39a	764.37	669.255	512	224	22.6
200	gluon_resnet50_v1c	761.03	503.811	384	224	25.58
201	cspresnext50	757.53	506.115	384	224	20.57
202	efficientnet_cc_b0_4e	755.85	506.911	384	224	13.31
203	ecaresnetlight	754.13	678.075	512	224	30.16
204	efficientnet_cc_b0_8e	750.91	510.273	384	224	24.01
205	mixnet_m	749.54	510.912	384	224	5.01
206	efficientnet_b2_pruned	748.23	340.751	256	260	8.31
207	resnet50t	745.06	514.605	384	224	25.57
208	resmlp_24_distilled_224	744.01	342.726	256	224	30.02
209	gluon_resnet50_v1d	743.98	515.37	384	224	25.58
210	resnet50d	743.76	515.521	384	224	25.58
211	resmlp_24_224	743.43	342.965	256	224	30.02
212	legacy_seresnet50	739.53	518.192	384	224	28.09
213	resnet32ts	736.71	346.942	256	256	17.96
214	ese_vovnet39b	733.2	523.109	384	224	24.57
215	tf_efficientnet_cc_b0_4e	732.92	522.856	384	224	13.31
216	tf_efficientnet_cc_b0_8e	731.1	524.143	384	224	24.01
217	dpn68b	728.18	526.241	384	224	12.61
218	resnet33ts	727.42	351.376	256	256	19.68
219	selecsls84	719.68	710.264	512	224	50.95
220	nf_seresnet50	718.4	533.452	384	224	28.09
221	rexnetr_200	715.44	267.313	192	224	16.52
222	visformer_small	713.57	537.5	384	224	40.22
223	res2net50_48w_2s	712.35	538.286	384	224	25.29
224	tf_mixnet_m	711.23	538.464	384	224	5.01
225	dpn68	711.07	539.016	384	224	12.61
226	seresnet50	710.55	539.38	384	224	28.09
227	lambda_resnet26t	708.6	541.35	384	256	10.96
228	bat_resnext26ts	706.1	361.453	256	256	10.73
229	tf_efficientnet_b1	705.85	361.254	256	240	7.79
230	tf_efficientnet_b1_ns	705.53	361.468	256	240	7.79
231	tf_efficientnet_b1_ap	705.49	361.504	256	240	7.79
232	seresnet33ts	700.84	364.51	256	256	19.78
233	eca_resnet33ts	700.22	364.953	256	256	19.68
234	resnetblur50	694.99	551.777	384	224	25.56
235	cspresnet50d	694.84	551.823	384	256	21.64
236	rexnet_200	693.57	275.752	192	224	16.37
237	cspresnet50w	686.88	558.19	384	256	28.12
238	eca_vovnet39b	683.56	748.398	512	224	22.6
239	densenet121	682.9	373.209	256	224	7.98
240	dla60	682.79	561.488	384	224	22.04
241	efficientnet_b1	682.7	373.555	256	256	7.79
242	tv_densenet121	681.14	374.178	256	224	7.98
243	gcresnet33ts	680.99	374.966	256	256	19.88
244	efficientnet_lite2	680.43	375.329	256	260	6.09
245	resnest26d	672.85	570.012	384	224	17.07
246	resnetaa50d	669.52	572.758	384	224	25.58
247	vgg11_bn	669.19	382.326	256	224	132.87
248	gluon_resnet50_v1s	664.71	576.903	384	224	25.68
249	nf_ecaresnet50	663.54	577.843	384	224	25.56
250	hrnet_w18_small_v2	663.05	769.959	512	224	15.6
251	tf_efficientnet_lite2	656.12	389.28	256	260	6.09
252	vit_small_r26_s32_224	654.12	390.216	256	224	36.43
253	lambda_resnet26rpt_256	650.73	196.144	128	256	10.99
254	vit_base_resnet26d_224	650.56	589.099	384	224	101.4
255	seresnet50t	645.62	395.439	256	224	28.1
256	gluon_resnext50_32x4d	643.1	596.344	384	224	25.03
257	ssl_resnext50_32x4d	642.69	596.753	384	224	25.03
258	resnext50_32x4d	642.56	596.871	384	224	25.03
259	tv_resnext50_32x4d	642.26	597.116	384	224	25.03
260	swsl_resnext50_32x4d	642.22	597.166	384	224	25.03
261	haloregnetz_b	639.45	398.971	256	224	11.68
262	resnetrs50	639.32	599.548	384	224	35.69
263	densenet121d	637.87	399.654	256	224	8.0
264	regnetx_032	635.48	603.11	384	224	15.3
265	resnetblur50d	634.6	402.62	256	224	25.58
266	res2net50_26w_4s	625.68	407.946	256	224	25.7
267	skresnet50	620.44	411.364	256	224	25.8
268	ese_vovnet57b	618.38	620.149	384	224	38.61
269	densenetblur121d	611.64	416.815	256	224	8.0
270	ecaresnet50d	601.62	424.614	256	224	25.58
271	adv_inception_v3	592.83	646.406	384	299	23.83
272	resnext50d_32x4d	590.58	432.684	256	224	25.05
273	gluon_inception_v3	589.45	650.157	384	299	23.83
274	inception_v3	588.55	651.172	384	299	23.83
275	tf_inception_v3	588.36	651.336	384	299	23.83
276	seresnetaa50d	587.38	434.758	256	224	28.11
277	sehalonet33ts	585.23	436.688	256	256	13.69
278	coat_lite_tiny	580.33	660.876	384	224	5.72
279	gmixer_24_224	577.9	441.611	256	224	24.72
280	gcresnet50t	577.25	442.093	256	256	25.9
281	efficientnet_b3_pruned	576.96	442.1	256	300	9.86
282	mixnet_l	576.91	442.34	256	224	7.33
283	resnetv2_50x1_bit_distilled	575.09	333.113	192	224	25.55
284	skresnet50d	572.85	445.576	256	224	25.82
285	vovnet57a	569.57	898.133	512	224	36.64
286	res2next50	568.73	448.924	256	224	24.67
287	seresnext50_32x4d	567.85	449.777	256	224	27.56
288	gluon_seresnext50_32x4d	567.27	450.224	256	224	27.56
289	cspresnext50_iabn	565.5	676.906	384	256	20.57
290	legacy_seresnext50_32x4d	565.44	451.632	256	224	27.56
291	resnest50d_1s4x24d	561.18	454.967	256	224	25.68
292	res2net50_14w_8s	560.86	454.355	256	224	25.06
293	repvgg_b1g4	560.47	912.475	512	224	39.97
294	densenet169	558.29	456.216	256	224	14.15
295	convnext_tiny	558.25	457.708	256	224	28.59
296	convnext_tiny_hnf	555.94	459.59	256	224	28.59
297	coat_lite_mini	554.95	691.16	384	224	11.01
298	regnety_040	554.71	690.835	384	224	20.65
299	dla60_res2net	550.65	463.555	256	224	20.85
300	darknet53	549.0	465.546	256	256	41.61
301	vgg13	548.68	699.681	384	224	133.05
302	tf_mixnet_l	547.03	466.516	256	224	7.33
303	dla60x	544.8	469.001	256	224	17.35
304	efficientnet_em	542.04	707.524	384	240	6.9
305	regnetx_040	541.76	707.76	384	224	22.12
306	nf_resnet101	541.63	707.493	384	224	44.55
307	tf_efficientnet_em	539.79	473.368	256	240	6.9
308	nf_regnet_b3	535.57	476.345	256	320	18.59
309	resnetv2_101	535.41	476.74	256	224	44.54
310	resnetv2_50d_gn	535.21	357.946	192	224	25.57
311	tf_efficientnet_b2_ns	534.14	358.079	192	260	9.11
312	tf_efficientnet_b2	533.77	358.295	192	260	9.11
313	tf_efficientnet_b2_ap	533.7	358.382	192	260	9.11
314	gcresnext50ts	533.26	358.674	192	256	15.67
315	tf_efficientnetv2_b3	532.84	358.667	192	300	14.36
316	nf_resnet50	527.83	726.718	384	288	25.56
317	sebotnet33ts_256	526.55	242.351	128	256	13.7
318	xcit_small_12_p16_224	524.79	486.162	256	224	26.25
319	xcit_small_12_p16_224_dist	524.65	486.278	256	224	26.25
320	resnet50_gn	521.4	367.482	192	224	25.56
321	efficientnetv2_rw_t	520.2	367.035	192	288	13.65
322	resnet101	518.79	491.983	256	224	44.55
323	tv_resnet101	518.57	492.187	256	224	44.55
324	gluon_resnet101_v1b	518.13	492.648	256	224	44.55
325	crossvit_small_240	516.01	370.633	192	240	26.86
326	twins_svt_small	514.62	496.02	256	224	24.06
327	vit_base_r26_s32_224	510.65	374.824	192	224	101.38
328	xcit_tiny_24_p16_224_dist	510.27	498.69	256	224	12.12
329	xcit_tiny_24_p16_224	510.13	498.896	256	224	12.12
330	gmlp_s16_224	504.22	379.373	192	224	19.42
331	resnetv2_101d	500.13	510.457	256	224	44.56
332	mixer_b16_224	499.95	511.32	256	224	59.88
333	mixer_b16_224_miil	499.11	512.204	256	224	59.88
334	vit_base_resnet50d_224	497.25	513.299	256	224	110.97
335	dla60_res2next	494.84	516.012	256	224	17.03
336	gluon_resnet101_v1c	492.43	518.398	256	224	44.57
337	vit_base_patch32_384	491.61	519.97	256	384	88.3
338	repvgg_b1	491.0	1041.743	512	224	57.42
339	resmlp_36_224	490.1	389.77	192	224	44.69
340	resmlp_36_distilled_224	490.1	389.707	192	224	44.69
341	efficientnet_b2	489.47	390.855	192	288	9.11
342	efficientnet_b2a	489.25	391.025	192	288	9.11
343	vit_large_patch32_224	487.93	523.265	256	224	306.54
344	gluon_resnet101_v1d	484.72	526.651	256	224	44.57
345	gc_efficientnetv2_rw_t	482.91	395.05	192	288	13.68
346	wide_resnet50_2	482.59	529.718	256	224	68.88
347	mixer_l32_224	479.14	399.369	192	224	206.94
348	cait_xxs24_224	478.85	532.347	256	224	11.96
349	cspdarknet53	478.49	534.051	256	256	27.64
350	efficientnet_cc_b1_8e	478.04	534.008	256	240	39.72
351	crossvit_15_240	474.46	403.054	192	240	27.53
352	resnest50d	473.17	539.784	256	224	27.48
353	res2net50_26w_6s	470.73	542.208	256	224	37.05
354	ecaresnet26t	470.49	543.574	256	320	16.01
355	dla102	468.81	544.602	256	224	33.27
356	regnetz_b16	467.13	409.622	192	288	9.72
357	xcit_nano_12_p16_384_dist	466.59	547.027	256	384	3.05
358	tf_efficientnet_cc_b1_8e	466.17	547.634	256	240	39.72
359	cspdarknet53_iabn	464.37	824.482	384	256	27.64
360	crossvit_15_dagger_240	458.06	417.527	192	240	28.21
361	regnetx_080	454.82	843.271	384	224	39.57
362	vgg13_bn	453.43	564.307	256	224	133.05
363	halonet50ts	453.0	422.945	192	256	22.73
364	lambda_resnet50ts	451.97	423.868	192	256	21.54
365	legacy_seresnet101	451.72	564.699	256	224	49.33
366	resnetaa101d	451.69	565.275	256	224	44.57
367	gluon_resnet101_v1s	450.48	566.841	256	224	44.67
368	vgg16	449.51	854.057	384	224	138.36
369	densenet201	445.52	428.155	192	224	20.01
370	swin_tiny_patch4_window7_224	443.41	576.481	256	224	28.29
371	seresnet101	441.23	578.213	256	224	49.33
372	nf_seresnet101	438.29	581.969	256	224	49.33
373	resnetblur101d	436.36	585.216	256	224	44.57
374	mixnet_xl	424.84	450.181	192	224	11.9
375	twins_pcpvt_small	421.68	605.595	256	224	24.11
376	nfnet_l0	417.1	612.673	256	288	35.07
377	botnet50ts_256	413.47	308.688	128	256	22.74
378	skresnext50_32x4d	412.36	619.54	256	224	27.48
379	gluon_resnext101_32x4d	412.2	619.638	256	224	44.18
380	swsl_resnext101_32x4d	412.03	619.892	256	224	44.18
381	resnext101_32x4d	411.85	620.12	256	224	44.18
382	ssl_resnext101_32x4d	411.66	620.437	256	224	44.18
383	vit_tiny_patch16_384	409.64	311.71	128	384	5.79
384	convit_small	402.9	475.62	192	224	27.78
385	halo2botnet50ts_256	398.01	320.711	128	256	22.64
386	res2net101_26w_4s	397.75	480.37	192	224	45.21
387	efficientnet_lite3	397.55	320.952	128	300	8.2
388	tresnet_l	396.67	1287.459	512	224	55.99
389	eca_nfnet_l0	396.55	644.544	256	288	24.14
390	resnet51q	393.31	487.375	192	288	35.7
391	nf_ecaresnet101	390.17	654.38	256	224	44.55
392	dla102x	386.87	494.82	192	224	26.31
393	res2net50_26w_8s	386.73	494.414	192	224	48.4
394	lamhalobotnet50ts_256	386.04	330.65	128	256	22.57
395	regnetx_064	385.03	664.106	256	224	26.21
396	regnety_032	384.2	665.001	256	288	19.44
397	tf_efficientnet_lite3	383.37	332.84	128	300	8.2
398	vgg19	381.34	1006.734	384	224	143.67
399	xception	378.7	337.254	128	299	22.86
400	vgg16_bn	376.28	680.016	256	224	138.37
401	ecaresnet101d	375.12	680.773	256	224	44.57
402	resnetv2_152	373.91	682.585	256	224	60.19
403	resnest50d_4s2x40d	372.15	686.672	256	224	30.42
404	regnety_064	370.51	689.324	256	224	30.58
405	repvgg_b2g4	370.32	1381.565	512	224	61.76
406	gluon_resnet152_v1b	366.03	522.463	192	224	60.19
407	tv_resnet152	365.47	523.229	192	224	60.19
408	resnet152	365.43	523.289	192	224	60.19
409	convnext_small	365.2	524.035	192	224	50.22
410	ese_vovnet99b	363.8	702.311	256	224	63.2
411	xcit_nano_12_p8_224	362.09	705.393	256	224	3.05
412	xcit_nano_12_p8_224_dist	361.89	705.792	256	224	3.05
413	gluon_seresnext101_32x4d	361.32	529.345	192	224	48.96
414	seresnext101_32x4d	361.3	529.348	192	224	48.96
415	legacy_seresnext101_32x4d	359.71	531.693	192	224	48.96
416	nfnet_f0	359.11	711.802	256	256	71.49
417	vit_base_patch16_224_miil	357.29	357.529	128	224	86.54
418	nest_tiny	356.86	357.893	128	224	17.06
419	nfnet_f0s	355.27	719.527	256	256	71.49
420	resnet61q	355.26	359.368	128	288	36.85
421	resnetv2_152d	355.12	538.597	192	224	60.2
422	jx_nest_tiny	353.84	360.954	128	224	17.06
423	vit_small_resnet50d_s16_224	353.26	542.366	192	224	57.53
424	hrnet_w18	352.9	721.041	256	224	21.3
425	deit_base_patch16_224	352.4	362.443	128	224	86.57
426	gluon_resnet152_v1c	352.05	543.263	192	224	60.21
427	vit_base_patch16_224_sam	351.83	363.047	128	224	86.57
428	vit_base_patch16_224	351.68	363.189	128	224	86.57
429	ese_vovnet99b_iabn	349.3	1096.435	384	224	63.2
430	gluon_resnet152_v1d	348.27	549.187	192	224	60.21
431	deit_base_distilled_patch16_224	347.05	368.041	128	224	87.34
432	crossvit_18_240	345.05	369.11	128	240	43.27
433	xcit_tiny_12_p16_384_dist	335.91	569.966	192	384	6.72
434	fbnetv3_g	335.24	379.926	128	288	16.62
435	regnety_080	335.22	762.533	256	224	39.18
436	crossvit_18_dagger_240	333.95	381.492	128	240	44.27
437	repvgg_b2	331.54	1543.333	512	224	89.02
438	gluon_resnet152_v1s	330.47	578.863	192	224	60.32
439	densenet161	327.93	388.08	128	224	28.68
440	dla169	324.94	588.567	192	224	53.39
441	beit_base_patch16_224	323.79	394.303	128	224	86.53
442	coat_lite_small	323.43	592.328	192	224	19.84
443	vgg19_bn	322.88	792.477	256	224	143.68
444	dm_nfnet_f0	322.48	792.711	256	256	71.49
445	repvgg_b3g4	313.61	1223.425	384	224	83.83
446	tf_efficientnet_b3	313.56	406.655	128	300	12.23
447	tf_efficientnet_b3_ns	313.33	406.959	128	300	12.23
448	tf_efficientnet_b3_ap	313.29	407.029	128	300	12.23
449	legacy_seresnet152	311.06	614.195	192	224	66.82
450	ese_vovnet39b_evos	310.12	411.897	128	224	24.58
451	dpn92	308.99	827.182	256	224	37.67
452	efficientnet_b3	306.79	415.635	128	320	12.23
453	efficientnet_b3a	306.46	416.067	128	320	12.23
454	cait_xxs36_224	306.42	414.392	128	224	17.3
455	inception_v4	305.84	625.702	192	299	42.68
456	twins_pcpvt_base	304.9	627.165	192	224	43.83
457	regnetx_120	304.64	839.453	256	224	46.11
458	ecaresnet50t	303.47	420.896	128	320	25.57
459	hrnet_w32	302.01	631.305	192	224	41.23
460	seresnet152	300.58	422.864	128	224	66.82
461	hrnet_w30	299.22	851.13	256	224	37.71
462	convmixer_1024_20_ks9_p14	299.07	855.183	256	224	24.38
463	regnetz_c16	296.99	429.626	128	320	13.46
464	twins_svt_base	296.14	430.333	128	224	56.07
465	tresnet_xl	289.45	1323.227	384	224	78.44
466	swin_small_patch4_window7_224	288.11	442.639	128	224	49.61
467	xception41	287.58	443.922	128	299	26.97
468	regnety_120	286.74	668.36	192	224	51.82
469	pit_b_224	286.53	334.205	96	224	73.76
470	pit_b_distilled_224	285.98	334.794	96	224	74.79
471	nf_regnet_b4	282.38	451.32	128	384	30.21
472	wide_resnet101_2	281.79	679.914	192	224	126.89
473	mixnet_xxl	275.31	463.133	128	224	23.96
474	resnetv2_50d_evob	273.52	700.95	192	224	25.59
475	xcit_small_24_p16_224_dist	271.4	468.703	128	224	47.67
476	xcit_small_24_p16_224	271.18	469.033	128	224	47.67
477	repvgg_b3	269.71	1422.719	384	224	123.09
478	convnext_base	268.96	474.28	128	224	88.59
479	convnext_base_in22ft1k	268.69	474.728	128	224	88.59
480	resnetv2_50d_evos	264.08	483.67	128	224	25.59
481	resnext101_64x4d	263.45	484.429	128	224	83.46
482	gluon_resnext101_64x4d	263.28	484.77	128	224	83.46
483	cait_s24_224	262.8	484.707	128	224	46.92
484	dla102x2	261.95	487.178	128	224	41.28
485	resnet200	261.21	487.362	128	224	64.67
486	xcit_tiny_12_p8_224_dist	256.95	496.557	128	224	6.71
487	xcit_tiny_12_p8_224	256.64	497.116	128	224	6.71
488	regnetx_160	256.42	747.752	192	224	54.28
489	inception_resnet_v2	251.21	761.158	192	299	55.84
490	ens_adv_inception_resnet_v2	251.14	761.388	192	299	55.84
491	resnetrs101	248.83	512.362	128	288	63.62
492	efficientnet_el	248.41	514.229	128	300	10.59
493	efficientnet_el_pruned	248.32	514.423	128	300	10.59
494	swsl_resnext101_32x8d	247.35	516.019	128	224	88.79
495	ssl_resnext101_32x8d	247.27	516.22	128	224	88.79
496	ig_resnext101_32x8d	247.19	516.409	128	224	88.79
497	resnext101_32x8d	247.05	516.7	128	224	88.79
498	dpn98	245.05	520.932	128	224	61.57
499	tf_efficientnet_el	244.21	523.119	128	300	10.59
500	efficientnetv2_s	241.82	394.917	96	384	21.46
501	tf_efficientnetv2_s_in21ft1k	240.69	396.775	96	384	21.46
502	tf_efficientnetv2_s	239.59	398.639	96	384	21.46
503	gluon_seresnext101_64x4d	239.24	533.021	128	224	88.23
504	gmlp_b16_224	238.08	401.808	96	224	73.08
505	resnet101d	236.98	538.626	128	320	44.57
506	nest_small	234.62	407.715	96	224	38.35
507	resnest101e	234.0	544.633	128	256	48.28
508	jx_nest_small	233.02	410.534	96	224	38.35
509	crossvit_base_240	230.08	415.793	96	240	105.03
510	efficientnetv2_rw_s	228.99	277.434	64	384	23.94
511	twins_svt_large	227.78	560.084	128	224	99.27
512	coat_tiny	226.98	562.116	128	224	5.5
513	seresnext101_32x8d	225.04	566.768	128	224	93.57
514	vit_large_r50_s32_224	220.85	432.537	96	224	328.99
515	swin_base_patch4_window7_224	220.19	579.694	128	224	87.77
516	gluon_xception65	220.18	434.23	96	299	39.92
517	xception65	219.22	436.124	96	299	39.92
518	hrnet_w40	218.29	875.173	192	224	57.56
519	twins_pcpvt_large	217.89	583.814	128	224	60.99
520	vit_small_r26_s32_384	215.21	296.22	64	384	36.47
521	convit_base	210.68	454.737	96	224	86.54
522	vit_small_patch16_384	209.29	305.058	64	384	22.2
523	hrnet_w44	203.55	938.867	192	224	67.06
524	hrnet_w48	203.33	625.151	128	224	77.47
525	tresnet_m_448	203.05	943.084	192	448	31.39
526	efficientnet_lite4	198.26	321.517	64	380	13.01
527	xcit_medium_24_p16_224	197.63	482.811	96	224	84.4
528	xcit_medium_24_p16_224_dist	197.58	482.902	96	224	84.4
529	vit_base_r50_s16_224	195.39	326.034	64	224	98.66
530	densenet264	194.98	488.653	96	224	72.69
531	regnetz_d8	194.31	327.837	64	320	23.37
532	tf_efficientnet_lite4	192.8	330.742	64	380	13.01
533	coat_mini	192.49	663.128	128	224	10.34
534	eca_nfnet_l1	186.17	685.824	128	320	41.41
535	regnetz_d32	182.61	348.904	64	320	27.58
536	dpn131	182.53	699.301	128	224	79.25
537	xcit_small_12_p16_384_dist	180.8	529.313	96	384	26.25
538	nest_base	176.01	362.129	64	224	67.72
539	xcit_tiny_24_p16_384_dist	175.08	545.374	96	384	12.12
540	jx_nest_base	174.7	364.806	64	224	67.72
541	dpn107	171.15	746.299	128	224	86.92
542	resnet152d	170.12	562.135	96	320	60.21
543	hrnet_w64	167.69	758.827	128	224	128.06
544	efficientnet_b4	167.63	379.88	64	384	19.34
545	xception71	165.9	383.797	64	299	42.34
546	densenet264d_iabn	163.71	1168.658	192	224	72.74
547	regnety_320	163.11	783.43	128	224	145.05
548	halonet_h1	161.83	394.259	64	256	8.1
549	convnext_large	159.74	599.371	96	224	197.77
550	convnext_large_in22ft1k	159.74	599.406	96	224	197.77
551	tnt_s_patch16_224	158.13	807.71	128	224	23.76
552	tf_efficientnet_b4	157.41	404.653	64	380	19.34
553	tf_efficientnet_b4_ap	157.35	404.822	64	380	19.34
554	tf_efficientnet_b4_ns	157.32	404.855	64	380	19.34
555	mixer_l16_224	155.84	614.71	96	224	208.2
556	seresnet200d	155.16	614.74	96	256	71.86
557	ecaresnet200d	149.12	640.536	96	256	64.69
558	vit_large_patch32_384	146.32	435.992	64	384	306.63
559	regnetx_320	143.56	890.603	128	224	107.81
560	seresnet152d	141.0	450.755	64	320	66.84
561	resnetrs152	139.45	455.893	64	320	86.62
562	resnetv2_50x1_bitm	138.96	344.659	48	448	25.55
563	gluon_senet154	138.12	691.987	96	224	115.09
564	senet154	138.03	692.329	96	224	115.09
565	xcit_small_12_p8_224_dist	137.35	464.322	64	224	26.21
566	xcit_small_12_p8_224	137.29	464.503	64	224	26.21
567	legacy_senet154	136.93	698.045	96	224	115.09
568	regnety_160	133.17	719.682	96	288	83.59
569	xcit_tiny_24_p8_224	132.53	721.469	96	224	12.11
570	xcit_tiny_24_p8_224_dist	132.41	722.018	96	224	12.11
571	swin_large_patch4_window7_224	132.32	482.098	64	224	196.53
572	tnt_b_patch16_224	126.43	757.574	96	224	65.41
573	resnet200d	123.09	517.162	64	320	64.69
574	nfnet_f1	122.2	783.645	96	320	132.63
575	xcit_nano_12_p8_384_dist	122.19	522.144	64	384	3.05
576	nfnet_f1s	121.0	791.465	96	320	132.63
577	xcit_large_24_p16_224_dist	119.24	533.65	64	224	189.1
578	xcit_large_24_p16_224	119.19	534.033	64	224	189.1
579	efficientnetv2_m	117.91	404.134	48	416	54.14
580	seresnet269d	115.13	550.403	64	256	113.67
581	nf_regnet_b5	109.6	581.496	64	456	49.74
582	dm_nfnet_f1	109.28	583.486	64	320	132.63
583	vit_large_patch16_224	106.61	448.786	48	224	304.33
584	convnext_xlarge_in22ft1k	104.28	612.171	64	224	350.2
585	crossvit_15_dagger_408	103.01	308.973	32	408	28.5
586	efficientnetv2_rw_m	101.82	311.114	32	416	53.24
587	regnetz_e8	100.87	473.939	48	320	57.7
588	tresnet_l_448	99.64	1281.316	128	448	55.99
589	beit_large_patch16_224	98.41	485.874	48	224	304.43
590	resnetrs200	97.6	487.799	48	320	93.21
591	ig_resnext101_32x16d	96.96	988.697	96	224	194.03
592	swsl_resnext101_32x16d	96.88	989.444	96	224	194.03
593	ssl_resnext101_32x16d	96.83	989.971	96	224	194.03
594	xcit_small_24_p16_384_dist	92.8	514.221	48	384	47.67
595	eca_nfnet_l2	92.75	687.481	64	384	56.72
596	convnext_base_384_in22ft1k	92.09	519.541	48	384	88.59
597	deit_base_patch16_384	90.25	353.802	32	384	86.86
598	vit_base_patch16_384	90.2	353.987	32	384	86.86
599	deit_base_distilled_patch16_384	88.49	360.855	32	384	87.63
600	tf_efficientnetv2_m	88.2	359.811	32	480	54.14
601	tf_efficientnetv2_m_in21ft1k	88.09	360.345	32	480	54.14
602	xcit_tiny_12_p8_384_dist	87.2	548.793	48	384	6.71
603	cait_xxs24_384	86.38	368.153	32	384	12.03
604	resnetv2_101x1_bitm	85.15	374.386	32	448	44.54
605	resnetv2_152x2_bit_teacher	85.01	374.341	32	224	236.34
606	convmixer_768_32	84.46	1135.466	96	224	21.11
607	resnest200e	77.86	611.828	48	320	70.2
608	crossvit_18_dagger_408	77.59	307.496	24	408	44.61
609	beit_base_patch16_384	76.84	311.346	24	384	86.74
610	tresnet_xl_448	75.89	1261.775	96	448	78.44
611	efficientnet_b5	75.33	422.385	32	456	30.39
612	vit_large_r50_s32_384	73.95	430.573	32	384	329.09
613	tf_efficientnet_b5_ap	73.87	430.874	32	456	30.39
614	tf_efficientnet_b5_ns	73.84	431.06	32	456	30.39
615	tf_efficientnet_b5	73.76	431.443	32	456	30.39
616	regnetz_d8_evob	69.9	684.907	48	320	23.41
617	nfnet_f2	69.7	685.799	48	352	193.78
618	xcit_small_24_p8_224	69.53	457.315	32	224	47.63
619	xcit_small_24_p8_224_dist	69.49	457.517	32	224	47.63
620	nfnet_f2s	69.09	691.894	48	352	193.78
621	xcit_medium_24_p16_384_dist	67.17	473.231	32	384	84.4
622	resmlp_big_24_distilled_224	65.96	483.773	32	224	129.14
623	resmlp_big_24_224	65.95	483.848	32	224	129.14
624	resmlp_big_24_224_in22ft1k	65.95	483.866	32	224	129.14
625	regnetz_d8_evos	64.24	496.339	32	320	23.46
626	dm_nfnet_f2	62.49	765.031	48	352	193.78
627	ecaresnet269d	60.75	522.332	32	352	102.09
628	swin_base_patch4_window12_384	60.1	397.741	24	384	87.9
629	cait_xs24_384	59.89	398.428	24	384	26.67
630	pnasnet5large	59.35	535.626	32	331	86.06
631	resnetrs270	58.4	542.338	32	352	129.86
632	vit_base_patch8_224	58.07	274.782	16	224	86.58
633	nasnetalarge	57.07	556.194	32	331	88.75
634	cait_xxs36_384	56.42	422.115	24	384	17.37
635	convnext_large_384_in22ft1k	54.47	585.847	32	384	197.77
636	vit_base_r50_s16_384	54.27	293.3	16	384	98.95
637	vit_base_resnet50_384	54.19	293.736	16	384	98.95
638	xcit_medium_24_p8_224	51.72	615.776	32	224	84.32
639	xcit_medium_24_p8_224_dist	51.69	616.066	32	224	84.32
640	ig_resnext101_32x32d	51.67	617.889	32	224	468.53
641	eca_nfnet_l3	49.71	640.359	32	448	72.04
642	convmixer_1536_20	48.09	997.399	48	224	51.63
643	xcit_small_12_p8_384_dist	46.72	512.057	24	384	26.21
644	efficientnetv2_l	46.55	339.739	16	480	118.52
645	tf_efficientnetv2_l_in21ft1k	46.43	340.391	16	480	118.52
646	tf_efficientnetv2_l	46.41	340.685	16	480	118.52
647	xcit_tiny_24_p8_384_dist	44.75	712.159	32	384	12.11
648	cait_s24_384	44.7	355.627	16	384	47.06
649	efficientnet_b6	41.67	381.28	16	528	43.04
650	tf_efficientnet_b6_ap	41.13	386.3	16	528	43.04
651	tf_efficientnet_b6	41.11	386.574	16	528	43.04
652	tf_efficientnet_b6_ns	40.99	387.676	16	528	43.04
653	xcit_large_24_p16_384_dist	40.96	582.937	24	384	189.1
654	vit_huge_patch14_224	37.91	420.175	16	224	632.05
655	resnetrs350	36.74	646.103	24	384	163.96
656	swin_large_patch4_window12_384	36.6	435.55	16	384	196.74
657	nfnet_f3	34.36	694.502	24	416	254.92
658	nfnet_f3s	34.26	696.883	24	416	254.92
659	convnext_xlarge_384_in22ft1k	34.01	468.853	16	384	350.2
660	resnest269e	32.96	721.9	24	416	110.93
661	dm_nfnet_f3	31.6	755.444	24	416	254.92
662	resnetv2_50x3_bitm	31.14	513.017	16	448	217.32
663	xcit_large_24_p8_224_dist	30.37	523.887	16	224	188.93
664	xcit_large_24_p8_224	30.32	524.75	16	224	188.93
665	cait_s36_384	29.46	404.043	12	384	68.37
666	resnetv2_152x2_bit_teacher_384	29.25	408.083	12	384	236.34
667	tf_efficientnetv2_xl_in21ft1k	28.52	415.17	12	512	208.12
668	efficientnetv2_xl	28.5	415.628	12	512	208.12
669	ig_resnext101_32x48d	27.26	585.456	16	224	828.41
670	vit_large_patch16_384	26.62	299.076	8	384	304.72
671	efficientnet_b7	25.52	310.186	8	600	66.35
672	tf_efficientnet_b7	25.25	313.569	8	600	66.35
673	tf_efficientnet_b7_ap	25.18	314.571	8	600	66.35
674	tf_efficientnet_b7_ns	25.12	315.222	8	600	66.35
675	resnetrs420	24.94	632.993	16	416	191.89
676	xcit_small_24_p8_384_dist	23.58	505.912	12	384	47.63
677	beit_large_patch16_384	22.66	351.145	8	384	305.0
678	vit_giant_patch14_224	21.59	368.118	8	224	1012.61
679	resnetv2_152x2_bitm	21.27	373.944	8	448	236.34
680	nfnet_f4	18.45	645.682	12	512	316.07
681	nfnet_f4s	18.35	649.188	12	512	316.07
682	resnetv2_101x3_bitm	17.19	464.077	8	448	387.93
683	xcit_medium_24_p8_384_dist	17.03	466.878	8	384	84.32
684	dm_nfnet_f4	16.71	713.246	12	512	316.07
685	efficientnet_b8	12.85	463.389	6	672	87.41
686	tf_efficientnet_b8_ap	12.75	466.866	6	672	87.41
687	tf_efficientnet_b8	12.73	467.671	6	672	87.41
688	nfnet_f5	12.01	660.317	8	544	377.21
689	nfnet_f5s	11.94	664.267	8	544	377.21
690	cait_m36_384	11.32	526.589	6	384	271.22
691	dm_nfnet_f5	10.99	722.011	8	544	377.21
692	xcit_large_24_p8_384_dist	10.37	575.649	6	384	188.93
693	nfnet_f6	9.06	655.713	6	576	438.36
694	nfnet_f6s	9.04	657.589	6	576	438.36
695	tf_efficientnet_l2_ns_475	8.8	449.624	4	475	480.31
696	beit_large_patch16_512	8.36	356.829	3	512	305.67
697	dm_nfnet_f6	8.32	713.582	6	576	438.36
698	nfnet_f7	6.44	613.323	4	608	499.5
699	nfnet_f7s	6.38	619.793	4	608	499.5
700	cait_m48_448	4.6	430.517	2	448	356.46
701	resnetv2_152x4_bitm	4.42	450.22	2	480	936.53
702	tf_efficientnet_l2_ns	2.55	387.178	1	800	480.31
703	efficientnet_l2	2.52	391.57	1	800	480.31