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	8879.06	56.99	512	106	2.04
3	mobilenetv3_small_050	6486.16	78.215	512	224	1.59
4	tf_mobilenetv3_small_minimal_100	6286.95	80.898	512	224	2.04
5	lcnet_035	5388.39	94.526	512	224	1.64
6	levit_128s	5340.79	94.942	512	224	7.78
7	mobilenetv3_small_075	5188.12	97.983	512	224	2.04
8	lcnet_050	4931.51	103.34	512	224	1.88
9	tf_mobilenetv3_small_075	4918.54	103.391	512	224	2.04
10	mobilenetv3_small_100	4776.47	106.481	512	224	2.54
11	tf_mobilenetv3_small_100	4548.9	111.828	512	224	2.54
12	tinynet_d	4535.94	112.125	512	152	2.34
13	mixer_s32_224	4002.68	127.361	512	224	19.1
14	levit_128	3906.35	129.937	512	224	9.21
15	vit_small_patch32_224	3720.28	136.814	512	224	22.88
16	lcnet_075	3708.14	137.591	512	224	2.36
17	vit_tiny_r_s16_p8_224	3450.55	147.535	512	224	6.34
18	regnetx_002	3409.48	149.489	512	224	2.68
19	levit_192	3369.4	150.83	512	224	10.95
20	mnasnet_small	3194.94	159.346	512	224	2.03
21	regnety_002	3152.93	161.41	512	224	3.16
22	lcnet_100	3112.12	164.023	512	224	2.95
23	mobilenetv2_035	3034.35	167.951	512	224	1.68
24	gernet_s	2945.06	173.156	512	224	8.17
25	gluon_resnet18_v1b	2722.13	187.746	512	224	11.69
26	resnet18	2720.28	187.878	512	224	11.69
27	swsl_resnet18	2718.44	187.99	512	224	11.69
28	ssl_resnet18	2711.89	188.46	512	224	11.69
29	mobilenetv2_050	2618.63	194.751	512	224	1.97
30	levit_256	2590.96	196.476	512	224	18.89
31	semnasnet_050	2528.95	201.569	512	224	2.08
32	regnetx_004	2522.75	201.894	512	224	5.16
33	mnasnet_050	2522.58	202.188	512	224	2.22
34	seresnet18	2507.84	203.663	512	224	11.78
35	ese_vovnet19b_slim_dw	2471.49	206.677	512	224	1.9
36	legacy_seresnet18	2441.93	209.163	512	224	11.78
37	tinynet_c	2430.81	209.624	512	184	2.46
38	tf_mobilenetv3_large_minimal_100	2297.77	222.108	512	224	3.92
39	lcnet_150	2274.7	224.596	512	224	4.5
40	levit_256d	2246.11	226.444	512	224	26.21
41	ghostnet_050	2164.08	235.253	512	224	2.59
42	mobilenetv3_large_075	2163.25	235.816	512	224	3.99
43	resnet18d	2077.18	246.121	512	224	11.71
44	tf_mobilenetv3_large_075	2064.86	247.051	512	224	3.99
45	regnetx_006	2039.62	250.217	512	224	6.2
46	ese_vovnet19b_slim	2002.06	255.364	512	224	3.17
47	mobilenetv3_rw	1974.38	258.462	512	224	5.48
48	mobilenetv3_large_100_miil	1968.34	259.245	512	224	5.48
49	mobilenetv3_large_100	1965.11	259.678	512	224	5.48
50	mnasnet_075	1898.08	268.968	512	224	3.17
51	mobilenetv2_075	1880.91	271.408	512	224	2.64
52	tf_mobilenetv3_large_100	1872.32	272.582	512	224	5.48
53	tf_efficientnetv2_b0	1868.24	272.852	512	224	7.14
54	resnetblur18	1851.92	276.12	512	224	11.69
55	regnety_004	1839.55	277.22	512	224	4.34
56	semnasnet_075	1812.64	281.537	512	224	2.91
57	regnety_006	1807.53	282.196	512	224	6.06
58	skresnet18	1781.57	286.76	512	224	11.96
59	mobilenetv2_100	1759.59	290.188	512	224	3.5
60	mnasnet_b1	1711.38	298.386	512	224	4.38
61	mnasnet_100	1703.75	299.741	512	224	4.38
62	vit_tiny_patch16_224	1703.5	299.738	512	224	5.72
63	deit_tiny_patch16_224	1700.58	300.234	512	224	5.72
64	tinynet_b	1695.36	300.958	512	188	3.73
65	hardcorenas_a	1688.73	302.486	512	224	5.26
66	hardcorenas_b	1681.38	303.598	512	224	5.18
67	deit_tiny_distilled_patch16_224	1676.33	304.592	512	224	5.91
68	regnetx_008	1660.21	307.58	512	224	7.26
69	semnasnet_100	1660.21	307.494	512	224	3.89
70	mnasnet_a1	1660.16	307.488	512	224	3.89
71	levit_384	1645.5	310.035	512	224	39.13
72	visformer_tiny	1629.45	313.55	512	224	10.32
73	gluon_resnet34_v1b	1628.8	313.768	512	224	21.8
74	tv_resnet34	1628.63	313.804	512	224	21.8
75	resnet34	1618.43	315.788	512	224	21.8
76	mixer_b32_224	1614.41	316.375	512	224	60.29
77	hardcorenas_c	1606.09	317.82	512	224	5.52
78	spnasnet_100	1581.9	322.7	512	224	4.42
79	hardcorenas_d	1573.64	324.168	512	224	7.5
80	pit_ti_distilled_224	1567.79	325.678	512	224	5.1
81	pit_ti_224	1567.05	325.843	512	224	4.85
82	vit_base_patch32_224	1566.16	326.106	512	224	88.22
83	vit_base_patch32_224_sam	1565.94	326.137	512	224	88.22
84	ghostnet_100	1561.28	326.61	512	224	5.18
85	regnety_008	1549.78	329.38	512	224	6.26
86	resmlp_12_distilled_224	1540.69	331.527	512	224	15.35
87	resmlp_12_224	1540.68	331.535	512	224	15.35
88	seresnet34	1491.24	342.456	512	224	21.96
89	nf_regnet_b0	1463.76	348.603	512	256	8.76
90	gernet_m	1452.99	351.696	512	224	21.14
91	legacy_seresnet34	1444.09	353.657	512	224	21.96
92	ese_vovnet19b_dw	1432.57	356.897	512	224	6.54
93	nf_resnet26	1427.35	358.203	512	224	16.0
94	tinynet_a	1409.24	362.071	512	192	6.19
95	dla46_c	1404.15	363.911	512	224	1.3
96	rexnetr_100	1384.43	276.261	384	224	4.88
97	mobilenetv2_110d	1383.76	276.51	384	224	4.52
98	efficientnet_lite0	1382.82	369.515	512	224	4.65
99	rexnet_100	1378.22	277.499	384	224	4.8
100	resnet34d	1368.6	373.438	512	224	21.82
101	hardcorenas_f	1363.96	374.257	512	224	8.2
102	xcit_nano_12_p16_224_dist	1357.57	375.351	512	224	3.05
103	xcit_nano_12_p16_224	1356.26	375.722	512	224	3.05
104	selecsls42	1352.83	377.829	512	224	30.35
105	ghostnet_130	1348.59	378.322	512	224	7.36
106	selecsls42b	1347.97	379.197	512	224	32.46
107	mixer_s16_224	1328.86	384.74	512	224	18.53
108	tf_efficientnet_lite0	1326.3	385.288	512	224	4.65
109	regnetz_005	1322.96	385.624	512	224	7.12
110	resnet26	1320.55	387.258	512	224	16.0
111	hardcorenas_e	1317.58	387.482	512	224	8.07
112	hrnet_w18_small	1302.47	391.734	512	224	13.19
113	pit_xs_distilled_224	1268.5	402.739	512	224	11.0
114	pit_xs_224	1268.42	402.775	512	224	10.62
115	fbnetc_100	1266.68	403.231	512	224	5.57
116	mnasnet_140	1263.67	404.387	512	224	7.12
117	mobilenetv2_140	1253.56	305.536	384	224	6.11
118	vit_small_patch32_384	1234.94	413.769	512	384	22.92
119	efficientnet_b0	1229.26	311.326	384	224	5.29
120	poolformer_s12	1218.66	419.43	512	224	11.92
121	semnasnet_140	1213.3	421.085	512	224	6.11
122	nf_seresnet26	1200.27	425.903	512	224	17.4
123	vit_tiny_r_s16_p8_384	1194.12	320.732	384	384	6.36
124	tf_efficientnetv2_b1	1189.33	321.432	384	240	8.14
125	gmixer_12_224	1181.89	432.408	512	224	12.7
126	repvgg_b0	1180.49	432.688	512	224	15.82
127	tf_efficientnet_b0_ap	1177.13	325.127	384	224	5.29
128	tf_efficientnet_b0	1176.58	325.256	384	224	5.29
129	tf_efficientnet_b0_ns	1176.09	325.406	384	224	5.29
130	efficientnet_b1_pruned	1160.78	439.616	512	240	6.33
131	selecsls60	1153.95	442.796	512	224	30.67
132	selecsls60b	1150.77	444.044	512	224	32.77
133	resnet26d	1125.05	454.584	512	224	16.01
134	nf_ecaresnet26	1118.2	457.322	512	224	16.0
135	mixnet_s	1099.59	464.39	512	224	4.13
136	rexnetr_130	1097.48	232.14	256	224	7.61
137	dla34	1070.28	477.798	512	224	15.74
138	dla46x_c	1057.9	483.219	512	224	1.07
139	rexnet_130	1047.2	243.344	256	224	7.56
140	regnetx_016	1042.62	490.182	512	224	9.19
141	tf_mixnet_s	1040.0	491.07	512	224	4.13
142	mobilenetv2_120d	1039.92	245.01	256	224	5.83
143	skresnet34	1030.78	495.577	512	224	22.28
144	dla60x_c	1018.3	501.873	512	224	1.32
145	ecaresnet50d_pruned	1010.79	505.611	512	224	19.94
146	gernet_l	1008.74	506.703	512	256	31.08
147	mobilevit_xxs	994.64	384.944	384	256	1.27
148	xcit_tiny_12_p16_224	994.0	513.339	512	224	6.72
149	xcit_tiny_12_p16_224_dist	993.15	513.793	512	224	6.72
150	efficientnet_b0_g16_evos	992.08	385.991	384	224	8.11
151	rexnetr_150	974.49	261.552	256	224	9.78
152	convnext_nano_hnf	957.8	400.126	384	224	15.59
153	crossvit_tiny_240	953.54	401.134	384	240	7.01
154	crossvit_9_240	948.17	403.562	384	240	8.55
155	rexnet_150	931.33	273.747	256	224	9.73
156	vit_base2_patch32_256	930.69	549.32	512	256	119.46
157	repvgg_a2	930.45	549.419	512	224	28.21
158	legacy_seresnext26_32x4d	924.87	552.965	512	224	16.79
159	regnety_016	921.92	553.59	512	224	11.2
160	efficientnet_lite1	920.32	277.193	256	240	5.42
161	gmlp_ti16_224	915.04	418.12	384	224	5.87
162	convit_tiny	914.83	418.772	384	224	5.71
163	efficientnet_es_pruned	914.62	559.049	512	224	5.44
164	crossvit_9_dagger_240	914.01	418.663	384	240	8.78
165	efficientnet_es	913.84	559.524	512	224	5.44
166	resnest14d	902.54	566.834	512	224	10.61
167	tf_efficientnet_es	895.9	570.736	512	224	5.44
168	vit_small_patch16_224	886.44	432.354	384	224	22.05
169	deit_small_patch16_224	886.38	432.371	384	224	22.05
170	resnetv2_50	885.9	577.167	512	224	25.55
171	tf_efficientnet_lite1	884.99	288.297	256	240	5.42
172	resnext26ts	882.6	434.57	384	256	10.3
173	resnet26t	880.32	581.109	512	256	16.01
174	nf_regnet_b1	876.86	582.443	512	288	10.22
175	tf_efficientnetv2_b2	873.82	291.458	256	260	10.1
176	nf_regnet_b2	872.25	585.395	512	272	14.31
177	deit_small_distilled_patch16_224	870.96	440.043	384	224	22.44
178	eca_resnext26ts	854.22	299.135	256	256	10.3
179	seresnext26ts	848.06	301.208	256	256	10.39
180	gluon_resnet50_v1b	836.3	458.36	384	224	25.56
181	swsl_resnet50	836.28	458.365	384	224	25.56
182	tv_resnet50	835.63	458.72	384	224	25.56
183	resnet50	833.11	460.106	384	224	25.56
184	botnet26t_256	831.36	461.332	384	256	12.49
185	ssl_resnet50	830.95	461.318	384	224	25.56
186	gcresnext26ts	830.68	307.354	256	256	10.48
187	seresnext26tn_32x4d	830.61	461.636	384	224	16.81
188	seresnext26t_32x4d	830.27	461.827	384	224	16.81
189	seresnext26d_32x4d	828.27	462.949	384	224	16.81
190	pit_s_224	823.52	309.982	256	224	23.46
191	vgg11	823.03	621.921	512	224	132.86
192	pit_s_distilled_224	820.99	310.896	256	224	24.04
193	halonet26t	808.46	474.411	384	256	12.48
194	eca_botnext26ts_256	804.84	317.488	256	256	10.59
195	vit_small_resnet26d_224	799.3	479.391	384	224	63.61
196	resnetv2_50t	795.78	642.594	512	224	25.57
197	ecaresnext26t_32x4d	794.24	482.933	384	224	15.41
198	resnetv2_50d	793.28	644.617	512	224	25.57
199	ecaresnext50t_32x4d	791.08	484.877	384	224	15.41
200	tresnet_m	787.35	647.607	512	224	31.39
201	vovnet39a	782.12	654.018	512	224	22.6
202	efficientnet_b0_gn	780.55	326.912	256	224	5.29
203	fbnetv3_d	780.39	326.274	256	256	10.31
204	eca_halonext26ts	780.25	327.496	256	256	10.76
205	fbnetv3_b	780.18	490.58	384	256	8.6
206	cspresnet50	779.41	491.838	384	256	21.62
207	ecaresnet101d_pruned	774.28	659.497	512	224	24.88
208	efficientnet_cc_b0_8e	770.73	497.068	384	224	24.01
209	gluon_resnet50_v1c	770.17	497.757	384	224	25.58
210	efficientnet_cc_b0_4e	768.45	498.536	384	224	13.31
211	ecaresnetlight	767.52	666.18	512	224	30.16
212	cspresnext50	767.32	499.601	384	224	20.57
213	mixnet_m	767.21	499.005	384	224	5.01
214	efficientnet_b2_pruned	763.33	333.903	256	260	8.31
215	resnet50t	754.86	507.852	384	224	25.57
216	gluon_resnet50_v1d	754.57	508.055	384	224	25.58
217	resnet50d	753.37	508.854	384	224	25.58
218	resmlp_24_224	752.46	338.709	256	224	30.02
219	resmlp_24_distilled_224	751.46	339.201	256	224	30.02
220	ese_vovnet39b	748.27	512.528	384	224	24.57
221	tf_efficientnet_cc_b0_8e	747.26	512.722	384	224	24.01
222	tf_efficientnet_cc_b0_4e	746.74	513.086	384	224	13.31
223	resnet32ts	744.48	343.29	256	256	17.96
224	visformer_small	743.67	515.696	384	224	40.22
225	legacy_seresnet50	743.56	515.327	384	224	28.09
226	dpn68b	738.91	518.504	384	224	12.61
227	selecsls84	736.93	693.544	512	224	50.95
228	resnet33ts	736.41	347.04	256	256	19.68
229	tf_mixnet_m	730.05	524.465	384	224	5.01
230	nf_seresnet50	727.19	526.873	384	224	28.09
231	rexnetr_200	725.21	263.618	192	224	16.52
232	res2net50_48w_2s	723.44	529.975	384	224	25.29
233	dpn68	721.43	531.156	384	224	12.61
234	lambda_resnet26t	720.18	532.596	384	256	10.96
235	seresnet50	719.22	532.776	384	224	28.09
236	tf_efficientnet_b1_ns	717.68	355.196	256	240	7.79
237	tf_efficientnet_b1	717.65	355.204	256	240	7.79
238	tf_efficientnet_b1_ap	717.6	355.242	256	240	7.79
239	eca_resnet33ts	713.27	358.233	256	256	19.68
240	bat_resnext26ts	709.94	359.448	256	256	10.73
241	seresnet33ts	708.46	360.554	256	256	19.78
242	resnetblur50	706.03	543.087	384	224	25.56
243	cspresnet50d	704.69	544.074	384	256	21.64
244	rexnet_200	702.3	272.253	192	224	16.37
245	eca_vovnet39b	698.49	732.369	512	224	22.6
246	cspresnet50w	698.43	548.944	384	256	28.12
247	dla60	695.38	551.258	384	224	22.04
248	efficientnet_b1	694.5	367.105	256	256	7.79
249	efficientnet_lite2	691.09	369.477	256	260	6.09
250	tv_densenet121	688.36	370.145	256	224	7.98
251	vgg11_bn	688.31	371.701	256	224	132.87
252	gcresnet33ts	687.54	371.346	256	256	19.88
253	densenet121	686.73	371.056	256	224	7.98
254	resnest26d	682.74	561.689	384	224	17.07
255	resnetaa50d	680.45	563.474	384	224	25.58
256	gluon_resnet50_v1s	673.44	569.389	384	224	25.68
257	hrnet_w18_small_v2	669.83	761.985	512	224	15.6
258	nf_ecaresnet50	669.55	572.548	384	224	25.56
259	tf_efficientnet_lite2	667.12	382.773	256	260	6.09
260	vit_base_resnet26d_224	663.97	577.082	384	224	101.4
261	vit_small_r26_s32_224	661.78	385.595	256	224	36.43
262	lambda_resnet26rpt_256	660.67	193.152	128	256	10.99
263	efficientnet_b0_g8_gn	657.99	387.987	256	224	6.56
264	seresnet50t	654.75	389.823	256	224	28.1
265	resnext50_32x4d	651.94	588.217	384	224	25.03
266	swsl_resnext50_32x4d	651.54	588.552	384	224	25.03
267	gluon_resnext50_32x4d	651.5	588.601	384	224	25.03
268	ssl_resnext50_32x4d	651.06	588.971	384	224	25.03
269	tv_resnext50_32x4d	651.04	589.025	384	224	25.03
270	haloregnetz_b	649.9	392.411	256	224	11.68
271	resnetrs50	647.82	591.571	384	224	35.69
272	regnetx_032	644.99	594.128	384	224	15.3
273	resnetblur50d	643.36	397.048	256	224	25.58
274	densenet121d	640.21	398.026	256	224	8.0
275	mobilevit_xs	636.32	300.601	192	256	2.32
276	res2net50_26w_4s	636.08	401.175	256	224	25.7
277	ese_vovnet57b	632.89	605.833	384	224	38.61
278	convnext_tiny_hnf	631.3	404.531	256	224	28.59
279	skresnet50	629.62	405.227	256	224	25.8
280	densenetblur121d	620.91	410.489	256	224	8.0
281	poolformer_s24	618.55	412.632	256	224	21.39
282	ecaresnet50d	617.9	413.387	256	224	25.58
283	gluon_inception_v3	602.04	636.443	384	299	23.83
284	tf_inception_v3	601.78	636.737	384	299	23.83
285	resnext50d_32x4d	599.81	425.968	256	224	25.05
286	adv_inception_v3	598.91	639.776	384	299	23.83
287	inception_v3	597.68	641.096	384	299	23.83
288	seresnetaa50d	595.51	428.742	256	224	28.11
289	sehalonet33ts	593.18	430.755	256	256	13.69
290	coat_lite_tiny	588.45	651.687	384	224	5.72
291	efficientnet_b3_pruned	588.04	433.698	256	300	9.86
292	mixnet_l	587.47	434.23	256	224	7.33
293	gmixer_24_224	586.46	435.043	256	224	24.72
294	gcresnet50t	584.74	436.344	256	256	25.9
295	vovnet57a	583.53	876.573	512	224	36.64
296	skresnet50d	581.8	438.63	256	224	25.82
297	resnetv2_50x1_bit_distilled	579.51	330.493	192	224	25.55
298	res2next50	576.25	443.0	256	224	24.67
299	seresnext50_32x4d	575.09	444.01	256	224	27.56
300	cspresnext50_iabn	574.6	666.024	384	256	20.57
301	legacy_seresnext50_32x4d	573.45	445.299	256	224	27.56
302	res2net50_14w_8s	572.23	445.23	256	224	25.06
303	gluon_seresnext50_32x4d	572.14	446.313	256	224	27.56
304	repvgg_b1g4	571.09	895.496	512	224	39.97
305	convnext_tiny	568.67	449.214	256	224	28.59
306	resnest50d_1s4x24d	568.37	449.124	256	224	25.68
307	vgg13	565.29	679.111	384	224	133.05
308	densenet169	564.44	451.109	256	224	14.15
309	coat_lite_mini	560.18	684.613	384	224	11.01
310	tf_mixnet_l	559.29	456.201	256	224	7.33
311	dla60_res2net	558.91	456.605	256	224	20.85
312	darknet53	555.4	460.146	256	256	41.61
313	dla60x	553.72	461.36	256	224	17.35
314	efficientnet_em	553.62	692.657	384	240	6.9
315	regnetx_040	551.95	694.615	384	224	22.12
316	tf_efficientnet_em	550.96	463.679	256	240	6.9
317	nf_resnet101	550.06	696.472	384	224	44.55
318	nf_regnet_b3	545.32	467.686	256	320	18.59
319	tf_efficientnet_b2_ns	542.89	352.148	192	260	9.11
320	tf_efficientnet_b2_ap	542.72	352.279	192	260	9.11
321	tf_efficientnet_b2	542.33	352.563	192	260	9.11
322	resnetv2_101	541.77	470.948	256	224	44.54
323	tf_efficientnetv2_b3	537.24	355.668	192	300	14.36
324	gcresnext50ts	536.7	356.26	192	256	15.67
325	nf_resnet50	535.99	715.561	384	288	25.56
326	xcit_small_12_p16_224_dist	535.18	476.598	256	224	26.25
327	xcit_small_12_p16_224	535.12	476.63	256	224	26.25
328	sebotnet33ts_256	533.03	239.342	128	256	13.7
329	efficientnetv2_rw_t	527.89	361.618	192	288	13.65
330	resnet101	526.2	484.988	256	224	44.55
331	twins_svt_small	526.18	484.993	256	224	24.06
332	tv_resnet101	525.84	485.332	256	224	44.55
333	resnet50_gn	525.26	364.696	192	224	25.56
334	gluon_resnet101_v1b	524.51	486.543	256	224	44.55
335	mobilevit_s	521.06	367.349	192	256	5.58
336	crossvit_small_240	519.76	367.784	192	240	26.86
337	xcit_tiny_24_p16_224	519.69	489.334	256	224	12.12
338	xcit_tiny_24_p16_224_dist	519.36	489.596	256	224	12.12
339	vit_base_r26_s32_224	518.41	369.094	192	224	101.38
340	mixer_b16_224	512.16	499.054	256	224	59.88
341	mixer_b16_224_miil	512.15	499.069	256	224	59.88
342	gmlp_s16_224	510.63	374.487	192	224	19.42
343	resnetv2_101d	506.75	503.627	256	224	44.56
344	vit_base_resnet50d_224	506.41	503.941	256	224	110.97
345	dla60_res2next	504.89	505.645	256	224	17.03
346	vit_base_patch32_384	503.41	507.725	256	384	88.3
347	repvgg_b1	499.68	1023.594	512	224	57.42
348	resmlp_36_distilled_224	499.65	382.104	192	224	44.69
349	resmlp_36_224	499.61	382.157	192	224	44.69
350	gluon_resnet101_v1c	499.33	511.143	256	224	44.57
351	vit_large_patch32_224	498.76	511.726	256	224	306.54
352	efficientnet_b2a	498.46	383.699	192	288	9.11
353	efficientnet_b2	498.23	383.892	192	288	9.11
354	semobilevit_s	498.08	384.196	192	256	5.74
355	wide_resnet50_2	492.85	518.616	256	224	68.88
356	gluon_resnet101_v1d	492.69	518.053	256	224	44.57
357	mixer_l32_224	486.84	392.903	192	224	206.94
358	efficientnet_cc_b1_8e	485.45	525.706	256	240	39.72
359	cspdarknet53	485.41	526.351	256	256	27.64
360	gc_efficientnetv2_rw_t	484.77	393.323	192	288	13.68
361	cait_xxs24_224	483.07	527.475	256	224	11.96
362	resnest50d	481.14	530.778	256	224	27.48
363	res2net50_26w_6s	478.7	533.037	256	224	37.05
364	crossvit_15_240	477.76	400.069	192	240	27.53
365	dla102	477.62	534.469	256	224	33.27
366	ecaresnet26t	476.78	536.378	256	320	16.01
367	regnetz_b16	474.17	403.475	192	288	9.72
368	tf_efficientnet_cc_b1_8e	473.85	538.615	256	240	39.72
369	xcit_nano_12_p16_384_dist	473.63	538.718	256	384	3.05
370	cspdarknet53_iabn	473.06	809.288	384	256	27.64
371	convnext_tiny_hnfd	470.51	543.084	256	224	28.63
372	vgg13_bn	465.58	549.581	256	224	133.05
373	vgg16	464.87	825.812	384	224	138.36
374	regnetx_080	463.41	827.528	384	224	39.57
375	crossvit_15_dagger_240	461.34	414.345	192	240	28.21
376	resnetaa101d	460.14	554.755	256	224	44.57
377	lambda_resnet50ts	459.6	416.745	192	256	21.54
378	halonet50ts	459.3	417.05	192	256	22.73
379	legacy_seresnet101	458.51	556.133	256	224	49.33
380	gluon_resnet101_v1s	457.44	558.089	256	224	44.67
381	densenet201	452.47	421.386	192	224	20.01
382	swin_tiny_patch4_window7_224	451.01	566.618	256	224	28.29
383	seresnet101	447.55	569.776	256	224	49.33
384	resnetblur101d	441.76	577.918	256	224	44.57
385	nf_seresnet101	440.27	579.119	256	224	49.33
386	mixnet_xl	435.11	586.493	256	224	11.9
387	twins_pcpvt_small	428.18	596.275	256	224	24.11
388	nfnet_l0	422.47	604.781	256	288	35.07
389	skresnext50_32x4d	418.8	609.905	256	224	27.48
390	swin_s3_tiny_224	418.5	457.809	192	224	28.33
391	gluon_resnext101_32x4d	418.3	610.447	256	224	44.18
392	swsl_resnext101_32x4d	418.28	610.459	256	224	44.18
393	ssl_resnext101_32x4d	418.21	610.626	256	224	44.18
394	resnext101_32x4d	418.12	610.73	256	224	44.18
395	vit_tiny_patch16_384	415.69	307.09	128	384	5.79
396	botnet50ts_256	415.68	306.991	128	256	22.74
397	poolformer_s36	413.64	462.249	192	224	30.86
398	ese_vovnet39b_evos	408.73	312.204	128	224	24.58
399	convit_small	408.52	468.993	192	224	27.78
400	res2net101_26w_4s	406.07	470.321	192	224	45.21
401	eca_nfnet_l0	404.15	632.409	256	288	24.14
402	efficientnet_lite3	403.71	315.975	128	300	8.2
403	halo2botnet50ts_256	403.26	316.425	128	256	22.64
404	tresnet_l	403.06	1266.831	512	224	55.99
405	resnet51q	399.11	480.193	192	288	35.7
406	nf_ecaresnet101	394.48	647.098	256	224	44.55
407	dla102x	393.78	486.022	192	224	26.31
408	vgg19	393.77	974.937	384	224	143.67
409	res2net50_26w_8s	393.74	485.439	192	224	48.4
410	lamhalobotnet50ts_256	392.54	325.068	128	256	22.57
411	regnetx_064	392.18	651.888	256	224	26.21
412	regnety_032	391.93	651.749	256	288	19.44
413	tf_efficientnet_lite3	390.65	326.582	128	300	8.2
414	vgg16_bn	389.79	656.438	256	224	138.37
415	xception	385.34	331.396	128	299	22.86
416	resnetv2_152	380.13	671.312	256	224	60.19
417	swin_v2_cr_tiny_224	379.43	504.758	192	224	28.33
418	ecaresnet101d	378.93	673.854	256	224	44.57
419	resnest50d_4s2x40d	378.25	675.481	256	224	30.42
420	repvgg_b2g4	377.89	1353.806	512	224	61.76
421	ese_vovnet99b	373.42	684.063	256	224	63.2
422	tv_resnet152	371.1	515.112	192	224	60.19
423	resnet152	371.02	515.239	192	224	60.19
424	convnext_small	370.63	516.315	192	224	50.22
425	xcit_nano_12_p8_224	370.09	689.984	256	224	3.05
426	xcit_nano_12_p8_224_dist	369.33	691.413	256	224	3.05
427	gluon_resnet152_v1b	369.24	517.744	192	224	60.19
428	nfnet_f0	367.34	695.748	256	256	71.49
429	gluon_seresnext101_32x4d	366.5	521.688	192	224	48.96
430	seresnext101_32x4d	366.15	522.18	192	224	48.96
431	legacy_seresnext101_32x4d	365.14	523.663	192	224	48.96
432	vit_base_patch16_224_miil	364.71	350.199	128	224	86.54
433	nest_tiny	363.32	351.416	128	224	17.06
434	resnetv2_152d	361.72	528.569	192	224	60.2
435	vit_small_resnet50d_s16_224	361.26	530.264	192	224	57.53
436	resnet61q	360.88	353.672	128	288	36.85
437	jx_nest_tiny	360.53	354.122	128	224	17.06
438	swin_v2_cr_tiny_ns_224	360.48	531.298	192	224	28.33
439	vit_base_patch16_224	359.03	355.693	128	224	86.57
440	vit_base_patch16_224_sam	358.97	355.726	128	224	86.57
441	ese_vovnet99b_iabn	358.47	1068.125	384	224	63.2
442	gluon_resnet152_v1c	358.0	534.017	192	224	60.21
443	deit_base_patch16_224	356.65	358.076	128	224	86.57
444	regnety_040	355.37	538.804	192	288	20.65
445	gluon_resnet152_v1d	353.37	541.005	192	224	60.21
446	regnety_040s_gn	351.45	362.7	128	224	20.65
447	deit_base_distilled_patch16_224	351.33	363.49	128	224	87.34
448	resnetv2_50d_frn	347.92	366.764	128	224	25.59
449	crossvit_18_240	347.71	366.132	128	240	43.27
450	xcit_tiny_12_p16_384_dist	343.61	557.009	192	384	6.72
451	xception41p	343.15	372.168	128	299	26.91
452	volo_d1_224	342.86	371.99	128	224	26.63
453	regnetv_040	340.89	374.038	128	288	20.64
454	hrnet_w18	340.14	747.884	256	224	21.3
455	repvgg_b2	339.58	1506.684	512	224	89.02
456	fbnetv3_g	338.81	375.801	128	288	16.62
457	crossvit_18_dagger_240	336.48	378.386	128	240	44.27
458	vgg19_bn	336.38	760.656	256	224	143.68
459	gluon_resnet152_v1s	335.54	569.962	192	224	60.32
460	dla169	331.7	576.335	192	224	53.39
461	densenet161	329.95	385.629	128	224	28.68
462	dm_nfnet_f0	329.15	776.517	256	256	71.49
463	coat_lite_small	327.59	584.625	192	224	19.84
464	resnetv2_50d_gn	326.94	390.7	128	288	25.57
465	beit_base_patch16_224	326.19	391.317	128	224	86.53
466	repvgg_b3g4	321.01	1195.136	384	224	83.83
467	tf_efficientnet_b3_ns	318.86	399.788	128	300	12.23
468	tf_efficientnet_b3	318.7	399.98	128	300	12.23
469	tf_efficientnet_b3_ap	318.42	400.336	128	300	12.23
470	legacy_seresnet152	315.73	604.891	192	224	66.82
471	dpn92	314.66	812.131	256	224	37.67
472	inception_v4	312.7	611.827	192	299	42.68
473	efficientnet_b3	312.0	408.597	128	320	12.23
474	efficientnet_b3a	311.95	408.654	128	320	12.23
475	twins_pcpvt_base	311.39	613.825	192	224	43.83
476	convmixer_1024_20_ks9_p14	310.04	824.873	256	224	24.38
477	regnetx_120	309.97	824.929	256	224	46.11
478	cait_xxs36_224	308.02	411.825	128	224	17.3
479	ecaresnet50t	306.62	416.516	128	320	25.57
480	hrnet_w32	305.43	623.994	192	224	41.23
481	seresnet152	303.38	418.64	128	224	66.82
482	twins_svt_base	303.13	420.211	128	224	56.07
483	regnetz_c16	302.01	422.387	128	320	13.46
484	hrnet_w30	301.1	845.453	256	224	37.71
485	tresnet_xl	294.8	1299.032	384	224	78.44
486	swin_small_patch4_window7_224	294.09	433.317	128	224	49.61
487	pit_b_224	291.77	328.073	96	224	73.76
488	xception41	291.75	437.519	128	299	26.97
489	regnety_120	291.47	657.427	192	224	51.82
490	pit_b_distilled_224	289.77	330.344	96	224	74.79
491	wide_resnet101_2	288.45	664.093	192	224	126.89
492	nf_regnet_b4	286.33	444.906	128	384	30.21
493	mixnet_xxl	281.29	453.113	128	224	23.96
494	poolformer_m36	278.5	457.747	128	224	56.17
495	xcit_small_24_p16_224_dist	276.84	459.031	128	224	47.67
496	repvgg_b3	276.53	1387.56	384	224	123.09
497	xcit_small_24_p16_224	275.37	461.371	128	224	47.67
498	convnext_small_in22ft1k	274.88	463.928	128	224	88.59
499	convnext_base	274.83	464.011	128	224	88.59
500	convnext_tiny_in22ft1k	273.31	466.623	128	224	88.59
501	convnext_base_in22ft1k	272.88	467.352	128	224	88.59
502	gluon_resnext101_64x4d	268.43	475.336	128	224	83.46
503	dla102x2	266.91	478.025	128	224	41.28
504	cait_s24_224	265.32	479.979	128	224	46.92
505	resnet200	265.02	479.979	128	224	64.67
506	vit_small_patch16_18x2_224	263.71	482.808	128	224	64.67
507	regnetx_160	261.64	732.791	192	224	54.28
508	xcit_tiny_12_p8_224_dist	261.1	488.495	128	224	6.71
509	xcit_tiny_12_p8_224	260.74	489.138	128	224	6.71
510	vit_small_patch16_36x1_224	259.32	367.632	96	224	64.67
511	xception65p	258.71	493.479	128	299	39.82
512	ens_adv_inception_resnet_v2	255.7	747.458	192	299	55.84
513	resnetv2_50d_evob	254.24	376.389	96	224	25.59
514	inception_resnet_v2	254.09	752.309	192	299	55.84
515	efficientnet_el	253.35	504.154	128	300	10.59
516	efficientnet_el_pruned	253.34	504.171	128	300	10.59
517	resnext101_32x8d	252.02	506.385	128	224	88.79
518	swsl_resnext101_32x8d	252.02	506.295	128	224	88.79
519	ssl_resnext101_32x8d	251.67	507.107	128	224	88.79
520	resnetrs101	251.09	507.486	128	288	63.62
521	ig_resnext101_32x8d	250.58	509.299	128	224	88.79
522	dpn98	249.31	511.881	128	224	61.57
523	tf_efficientnet_el	249.14	512.694	128	300	10.59
524	efficientnetv2_s	245.1	389.491	96	384	21.46
525	gluon_seresnext101_64x4d	243.69	523.04	128	224	88.23
526	tf_efficientnetv2_s	243.67	391.823	96	384	21.46
527	tf_efficientnetv2_s_in21ft1k	242.75	393.147	96	384	21.46
528	gmlp_b16_224	241.6	395.795	96	224	73.08
529	resnet101d	240.1	531.541	128	320	44.57
530	nest_small	238.81	400.33	96	224	38.35
531	resnest101e	237.62	536.114	128	256	48.28
532	jx_nest_small	237.34	402.863	96	224	38.35
533	swin_v2_cr_small_224	234.05	407.737	96	224	49.7
534	twins_svt_large	233.44	546.209	128	224	99.27
535	efficientnetv2_rw_s	232.97	272.53	64	384	23.94
536	regnety_064	232.53	548.809	128	288	30.58
537	crossvit_base_240	232.11	411.966	96	240	105.03
538	coat_tiny	230.73	552.729	128	224	5.5
539	swin_s3_small_224	227.28	420.551	96	224	49.74
540	swin_base_patch4_window7_224	225.83	564.975	128	224	87.77
541	vit_large_r50_s32_224	224.13	425.968	96	224	328.99
542	gluon_xception65	224.07	426.586	96	299	39.92
543	regnetv_064	223.77	570.349	128	288	30.58
544	xception65	222.29	429.965	96	299	39.92
545	hrnet_w40	221.98	860.248	192	224	57.56
546	twins_pcpvt_large	221.53	573.857	128	224	60.99
547	regnety_080	221.41	576.9	128	288	39.18
548	vit_small_r26_s32_384	217.53	292.946	64	384	36.47
549	convit_base	213.7	448.233	96	224	86.54
550	resnetv2_50d_evos	211.36	301.609	64	288	25.59
551	vit_small_patch16_384	211.21	302.185	64	384	22.2
552	tresnet_m_448	207.11	924.362	192	448	31.39
553	hrnet_w44	206.62	924.469	192	224	67.06
554	hrnet_w48	203.91	623.058	128	224	77.47
555	xcit_medium_24_p16_224_dist	201.77	472.474	96	224	84.4
556	efficientnet_lite4	201.72	315.945	64	380	13.01
557	regnetz_040	200.93	316.724	64	320	27.12
558	xcit_medium_24_p16_224	200.38	475.726	96	224	84.4
559	regnetz_040h	199.32	319.288	64	320	28.94
560	vit_base_r50_s16_224	198.49	320.852	64	224	98.66
561	volo_d2_224	198.45	481.736	96	224	58.68
562	regnetz_d8	197.22	322.887	64	320	23.37
563	regnetz_b16_evos	196.95	323.135	64	288	9.74
564	densenet264	196.71	484.156	96	224	72.69
565	coat_mini	196.35	649.865	128	224	10.34
566	tf_efficientnet_lite4	196.17	324.922	64	380	13.01
567	eca_nfnet_l1	189.49	673.644	128	320	41.41
568	dpn131	186.08	685.82	128	224	79.25
569	xcit_small_12_p16_384_dist	185.19	516.612	96	384	26.25
570	regnetz_d32	185.07	344.194	64	320	27.58
571	poolformer_m48	184.64	517.502	96	224	73.47
572	efficientnet_b3_gn	183.63	346.864	64	320	11.73
573	nest_base	179.17	355.564	64	224	67.72
574	jx_nest_base	178.25	357.393	64	224	67.72
575	xcit_tiny_24_p16_384_dist	178.08	535.75	96	384	12.12
576	swin_s3_base_224	176.4	360.127	64	224	71.13
577	swin_v2_cr_base_224	175.64	361.983	64	224	87.88
578	dpn107	174.69	731.058	128	224	86.92
579	resnet152d	172.77	553.323	96	320	60.21
580	efficientnet_b4	170.77	372.707	64	384	19.34
581	hrnet_w64	170.07	747.892	128	224	128.06
582	xception71	168.48	377.772	64	299	42.34
583	regnety_320	166.84	765.843	128	224	145.05
584	densenet264d_iabn	165.34	1156.78	192	224	72.74
585	halonet_h1	164.36	387.985	64	256	8.1
586	convnext_large_in22ft1k	162.57	588.815	96	224	197.77
587	convnext_large	162.19	590.164	96	224	197.77
588	tnt_s_patch16_224	160.48	795.734	128	224	23.76
589	tf_efficientnet_b4_ap	160.07	397.797	64	380	19.34
590	tf_efficientnet_b4	160.05	397.861	64	380	19.34
591	tf_efficientnet_b4_ns	159.86	398.285	64	380	19.34
592	mixer_l16_224	158.98	602.398	96	224	208.2
593	seresnet200d	156.82	607.841	96	256	71.86
594	efficientnet_b3_g8_gn	153.08	416.422	64	320	14.25
595	vit_large_patch32_384	148.01	430.862	64	384	306.63
596	regnetx_320	147.1	869.066	128	224	107.81
597	ecaresnet200d	146.51	433.421	64	256	64.69
598	seresnet152d	142.71	445.143	64	320	66.84
599	senet154	141.47	675.227	96	224	115.09
600	gluon_senet154	140.33	680.825	96	224	115.09
601	resnetrs152	140.22	453.07	64	320	86.62
602	resnetv2_50x1_bitm	140.19	341.567	48	448	25.55
603	xcit_small_12_p8_224	140.1	455.06	64	224	26.21
604	legacy_senet154	139.98	682.498	96	224	115.09
605	xcit_small_12_p8_224_dist	139.68	456.467	64	224	26.21
606	volo_d3_224	136.64	465.978	64	224	86.33
607	regnety_160	136.33	702.93	96	288	83.59
608	xcit_tiny_24_p8_224	135.22	706.664	96	224	12.11
609	xcit_tiny_24_p8_224_dist	135.04	707.588	96	224	12.11
610	swin_large_patch4_window7_224	134.46	474.195	64	224	196.53
611	tnt_b_patch16_224	128.28	746.509	96	224	65.41
612	seresnext101_32x8d	126.87	502.256	64	288	93.57
613	resnet200d	125.03	508.876	64	320	64.69
614	nfnet_f1	124.83	766.912	96	320	132.63
615	xcit_nano_12_p8_384_dist	124.74	511.323	64	384	3.05
616	resnext101_64x4d	122.53	781.921	96	288	83.46
617	xcit_large_24_p16_224	121.81	522.038	64	224	189.1
618	xcit_large_24_p16_224_dist	121.62	522.935	64	224	189.1
619	regnetz_c16_evos	121.42	393.457	48	320	13.49
620	efficientnetv2_m	119.95	397.043	48	416	54.14
621	seresnet269d	115.73	547.311	64	256	113.67
622	dm_nfnet_f1	111.52	571.621	64	320	132.63
623	nf_regnet_b5	111.52	571.237	64	456	49.74
624	swin_v2_cr_large_224	108.24	441.046	48	224	196.68
625	vit_large_patch16_224	107.89	443.324	48	224	304.33
626	convnext_xlarge_in22ft1k	105.95	602.3	64	224	350.2
627	vit_base_patch16_18x2_224	104.22	457.937	48	224	256.73
628	crossvit_15_dagger_408	103.66	306.843	32	408	28.5
629	efficientnetv2_rw_m	103.03	307.229	32	416	53.24
630	regnetz_e8	102.71	465.407	48	320	57.7
631	tresnet_l_448	102.02	1251.242	128	448	55.99
632	beit_large_patch16_224	100.02	477.913	48	224	304.43
633	ssl_resnext101_32x16d	99.42	964.104	96	224	194.03
634	ig_resnext101_32x16d	99.34	964.822	96	224	194.03
635	swsl_resnext101_32x16d	99.31	965.114	96	224	194.03
636	resnetrs200	98.78	481.487	48	320	93.21
637	xcit_small_24_p16_384_dist	94.29	505.743	48	384	47.67
638	convnext_small_384_in22ft1k	94.25	507.598	48	384	88.59
639	eca_nfnet_l2	93.98	678.342	64	384	56.72
640	convnext_tiny_384_in22ft1k	93.69	510.615	48	384	88.59
641	convnext_base_384_in22ft1k	93.6	511.079	48	384	88.59
642	vit_base_patch16_384	91.38	349.381	32	384	86.86
643	deit_base_patch16_384	91.25	349.874	32	384	86.86
644	swin_v2_cr_tiny_384	89.93	354.59	32	384	28.33
645	deit_base_distilled_patch16_384	89.45	356.909	32	384	87.63
646	tf_efficientnetv2_m	89.24	355.387	32	480	54.14
647	tf_efficientnetv2_m_in21ft1k	89.11	356.006	32	480	54.14
648	volo_d4_224	89.0	536.865	48	224	192.96
649	xcit_tiny_12_p8_384_dist	88.71	539.341	48	384	6.71
650	volo_d1_384	87.94	271.566	24	384	26.78
651	convmixer_768_32	87.33	1098.007	96	224	21.11
652	cait_xxs24_384	86.9	365.799	32	384	12.03
653	resnetv2_152x2_bit_teacher	86.51	367.584	32	224	236.34
654	resnetv2_101x1_bitm	85.93	370.849	32	448	44.54
655	regnetz_d8_evos	81.9	388.68	32	320	23.46
656	resnest200e	78.86	603.644	48	320	70.2
657	crossvit_18_dagger_408	78.2	304.877	24	408	44.61
658	beit_base_patch16_384	77.31	309.414	24	384	86.74
659	tresnet_xl_448	77.31	1238.041	96	448	78.44
660	efficientnet_b5	76.38	416.454	32	456	30.39
661	vit_large_patch14_224	76.22	418.295	32	224	304.2
662	tf_efficientnet_b5_ns	75.17	423.294	32	456	30.39
663	tf_efficientnet_b5	75.06	423.89	32	456	30.39
664	tf_efficientnet_b5_ap	74.91	424.757	32	456	30.39
665	vit_large_r50_s32_384	74.62	426.461	32	384	329.09
666	nfnet_f2	71.13	671.634	48	352	193.78
667	xcit_small_24_p8_224	70.93	447.831	32	224	47.63
668	xcit_small_24_p8_224_dist	70.82	448.457	32	224	47.63
669	xcit_medium_24_p16_384_dist	68.86	461.356	32	384	84.4
670	resmlp_big_24_distilled_224	67.63	471.604	32	224	129.14
671	resmlp_big_24_224	66.97	476.343	32	224	129.14
672	resmlp_big_24_224_in22ft1k	66.96	476.41	32	224	129.14
673	dm_nfnet_f2	63.38	754.059	48	352	193.78
674	ecaresnet269d	62.55	506.999	32	352	102.09
675	swin_base_patch4_window12_384	61.26	389.996	24	384	87.9
676	pnasnet5large	60.8	522.503	32	331	86.06
677	cait_xs24_384	60.18	396.29	24	384	26.67
678	resnetrs270	59.41	532.629	32	352	129.86
679	vit_base_patch8_224	58.54	272.507	16	224	86.58
680	nasnetalarge	58.23	544.595	32	331	88.75
681	volo_d5_224	57.67	551.667	32	224	295.46
682	cait_xxs36_384	57.1	416.606	24	384	17.37
683	convnext_large_384_in22ft1k	55.31	576.804	32	384	197.77
684	vit_base_resnet50_384	55.13	288.662	16	384	98.95
685	vit_base_r50_s16_384	55.08	288.922	16	384	98.95
686	swin_v2_cr_small_384	54.02	293.773	16	384	49.7
687	xcit_medium_24_p8_224	52.96	600.968	32	224	84.32
688	xcit_medium_24_p8_224_dist	52.91	601.478	32	224	84.32
689	ig_resnext101_32x32d	52.61	606.726	32	224	468.53
690	volo_d2_384	50.75	313.547	16	384	58.87
691	eca_nfnet_l3	50.5	630.136	32	448	72.04
692	convmixer_1536_20	49.92	960.799	48	224	51.63
693	xcit_small_12_p8_384_dist	47.77	500.692	24	384	26.21
694	tf_efficientnetv2_l_in21ft1k	47.35	333.533	16	480	118.52
695	efficientnetv2_l	47.16	334.995	16	480	118.52
696	tf_efficientnetv2_l	47.07	335.523	16	480	118.52
697	xcit_tiny_24_p8_384_dist	45.79	695.564	32	384	12.11
698	cait_s24_384	44.86	354.226	16	384	47.06
699	swin_v2_cr_huge_224	44.05	360.723	16	224	657.83
700	efficientnet_b6	42.26	375.764	16	528	43.04
701	xcit_large_24_p16_384_dist	41.96	568.582	24	384	189.1
702	tf_efficientnet_b6_ap	41.84	379.635	16	528	43.04
703	tf_efficientnet_b6	41.78	380.157	16	528	43.04
704	tf_efficientnet_b6_ns	41.7	380.74	16	528	43.04
705	swin_v2_cr_base_384	41.43	383.765	16	384	87.88
706	vit_huge_patch14_224	38.82	410.089	16	224	632.05
707	swin_large_patch4_window12_384	37.36	426.362	16	384	196.74
708	resnetrs350	37.22	637.051	24	384	163.96
709	nfnet_f3	35.3	675.657	24	416	254.92
710	convnext_xlarge_384_in22ft1k	34.59	460.906	16	384	350.2
711	resnest269e	33.49	709.738	24	416	110.93
712	dm_nfnet_f3	32.11	742.967	24	416	254.92
713	resnetv2_50x3_bitm	31.49	507.203	16	448	217.32
714	xcit_large_24_p8_224	31.1	511.188	16	224	188.93
715	xcit_large_24_p8_224_dist	31.08	511.4	16	224	188.93
716	resnetv2_152x2_bit_teacher_384	29.72	401.405	12	384	236.34
717	cait_s36_384	29.53	402.581	12	384	68.37
718	efficientnetv2_xl	28.84	410.429	12	512	208.12
719	tf_efficientnetv2_xl_in21ft1k	28.76	411.641	12	512	208.12
720	ig_resnext101_32x48d	27.57	578.926	16	224	828.41
721	vit_large_patch16_384	26.83	296.63	8	384	304.72
722	efficientnet_b7	25.65	308.317	8	600	66.35
723	tf_efficientnet_b7_ns	25.54	309.843	8	600	66.35
724	tf_efficientnet_b7	25.52	309.949	8	600	66.35
725	tf_efficientnet_b7_ap	25.49	310.429	8	600	66.35
726	resnetrs420	25.06	628.984	16	416	191.89
727	swin_v2_cr_large_384	24.48	324.319	8	384	196.68
728	xcit_small_24_p8_384_dist	24.12	494.319	12	384	47.63
729	beit_large_patch16_384	22.92	347.104	8	384	305.0
730	vit_giant_patch14_224	21.77	364.805	8	224	1012.61
731	resnetv2_152x2_bitm	21.5	369.846	8	448	236.34
732	volo_d3_448	21.39	278.066	6	448	86.63
733	nfnet_f4	18.65	638.182	12	512	316.07
734	resnetv2_101x3_bitm	17.49	455.806	8	448	387.93
735	xcit_medium_24_p8_384_dist	17.39	456.608	8	384	84.32
736	dm_nfnet_f4	16.87	705.913	12	512	316.07
737	volo_d4_448	15.85	376.008	6	448	193.41
738	tf_efficientnet_b8_ap	13.05	456.145	6	672	87.41
739	tf_efficientnet_b8	13.04	456.234	6	672	87.41
740	efficientnet_b8	13.01	457.314	6	672	87.41
741	nfnet_f5	12.16	651.359	8	544	377.21
742	cait_m36_384	11.39	523.115	6	384	271.22
743	dm_nfnet_f5	11.14	711.506	8	544	377.21
744	xcit_large_24_p8_384_dist	10.6	562.64	6	384	188.93
745	volo_d5_448	10.46	379.155	4	448	295.91
746	swin_v2_cr_huge_384	9.68	307.346	3	384	657.94
747	nfnet_f6	9.19	645.361	6	576	438.36
748	tf_efficientnet_l2_ns_475	9.01	438.204	4	475	480.31
749	beit_large_patch16_512	8.44	353.416	3	512	305.67
750	dm_nfnet_f6	8.42	705.117	6	576	438.36
751	volo_d5_512	6.78	291.864	2	512	296.09
752	nfnet_f7	6.51	605.721	4	608	499.5
753	cait_m48_448	4.62	428.106	2	448	356.46
754	resnetv2_152x4_bitm	4.47	445.366	2	480	936.53
755	tf_efficientnet_l2_ns	2.56	385.525	1	800	480.31
756	efficientnet_l2	2.55	385.937	1	800	480.31