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

1	model	train_samples_per_sec	train_step_time	train_batch_size	train_img_size	param_count
2	tinynet_e	9380.97	53.881	512	106	2.04
3	mobilenetv3_small_050	7276.68	69.643	512	224	1.59
4	tf_mobilenetv3_small_minimal_100	6334.14	80.291	512	224	2.04
5	mobilenetv3_small_075	5920.21	85.765	512	224	2.04
6	lcnet_035	5760.61	88.397	512	224	1.64
7	mobilenetv3_small_100	5583.48	90.99	512	224	2.54
8	tf_mobilenetv3_small_075	5569.37	91.204	512	224	2.04
9	levit_128s	5426.95	93.402	512	224	7.78
10	lcnet_050	5425.23	93.895	512	224	1.88
11	tf_mobilenetv3_small_100	5275.47	96.328	512	224	2.54
12	tinynet_d	4879.29	104.179	512	152	2.34
13	mixer_s32_224	4491.84	113.42	512	224	19.1
14	vit_small_patch32_224	4321.32	117.658	512	224	22.88
15	lcnet_075	4147.31	122.971	512	224	2.36
16	levit_128	3971.6	127.764	512	224	9.21
17	vit_tiny_r_s16_p8_224	3957.53	128.516	512	224	6.34
18	lcnet_100	3524.02	144.807	512	224	2.95
19	mnasnet_small	3488.23	145.878	512	224	2.03
20	levit_192	3436.74	147.842	512	224	10.95
21	regnetx_002	3423.6	148.87	512	224	2.68
22	regnety_002	3178.35	160.128	512	224	3.16
23	mobilenetv2_035	3069.55	166.033	512	224	1.68
24	gernet_s	2949.06	172.893	512	224	8.17
25	mnasnet_050	2821.34	180.673	512	224	2.22
26	ssl_resnet18	2720.94	187.823	512	224	11.69
27	swsl_resnet18	2720.55	187.842	512	224	11.69
28	gluon_resnet18_v1b	2718.42	187.998	512	224	11.69
29	resnet18	2711.83	188.459	512	224	11.69
30	semnasnet_050	2700.91	188.67	512	224	2.08
31	tinynet_c	2654.89	191.851	512	184	2.46
32	mobilenetv2_050	2650.81	192.34	512	224	1.97
33	levit_256	2620.65	194.218	512	224	18.89
34	lcnet_150	2613.69	195.4	512	224	4.5
35	regnetx_004	2532.79	201.109	512	224	5.16
36	seresnet18	2519.64	202.716	512	224	11.78
37	legacy_seresnet18	2461.74	207.479	512	224	11.78
38	ese_vovnet19b_slim_dw	2456.97	207.908	512	224	1.9
39	mobilenetv3_large_075	2342.92	217.677	512	224	3.99
40	tf_mobilenetv3_large_minimal_100	2311.18	220.824	512	224	3.92
41	vit_tiny_patch16_224	2249.49	226.757	512	224	5.72
42	levit_256d	2248.95	226.128	512	224	26.21
43	deit_tiny_patch16_224	2244.74	227.248	512	224	5.72
44	tf_mobilenetv3_large_075	2222.25	229.522	512	224	3.99
45	deit_tiny_distilled_patch16_224	2207.23	231.107	512	224	5.91
46	ghostnet_050	2193.43	232.046	512	224	2.59
47	mnasnet_075	2163.05	235.897	512	224	3.17
48	mobilenetv3_rw	2147.03	237.6	512	224	5.48
49	mobilenetv3_large_100_miil	2135.44	238.882	512	224	5.48
50	mobilenetv3_large_100	2134.66	238.979	512	224	5.48
51	resnet18d	2086.64	244.99	512	224	11.71
52	pit_ti_distilled_224	2085.77	244.59	512	224	5.1
53	pit_ti_224	2083.57	244.847	512	224	4.85
54	hardcorenas_a	2050.08	249.015	512	224	5.26
55	regnetx_006	2048.56	249.103	512	224	6.2
56	tf_mobilenetv3_large_100	2046.24	249.335	512	224	5.48
57	ese_vovnet19b_slim	1997.73	255.915	512	224	3.17
58	mnasnet_100	1996.94	255.609	512	224	4.38
59	mnasnet_b1	1993.53	256.025	512	224	4.38
60	xcit_nano_12_p16_224_dist	1946.62	261.255	512	224	3.05
61	xcit_nano_12_p16_224	1946.1	261.308	512	224	3.05
62	semnasnet_075	1927.77	264.67	512	224	2.91
63	hardcorenas_b	1912.19	266.758	512	224	5.18
64	mobilenetv2_075	1888.29	270.368	512	224	2.64
65	hardcorenas_c	1885.12	270.645	512	224	5.52
66	tf_efficientnetv2_b0	1880.38	271.08	512	224	7.14
67	tinynet_b	1857.15	274.614	512	188	3.73
68	regnety_004	1855.83	274.756	512	224	4.34
69	resnetblur18	1846.1	276.978	512	224	11.69
70	regnety_006	1808.76	282.043	512	224	6.06
71	hardcorenas_d	1808.52	281.873	512	224	7.5
72	mnasnet_a1	1796.84	284.044	512	224	3.89
73	semnasnet_100	1784.41	286.019	512	224	3.89
74	spnasnet_100	1782.41	286.288	512	224	4.42
75	skresnet18	1776.65	287.57	512	224	11.96
76	mobilenetv2_100	1761.25	289.902	512	224	3.5
77	mixer_b32_224	1711.23	298.43	512	224	60.29
78	regnetx_008	1669.43	305.887	512	224	7.26
79	levit_384	1662.81	306.81	512	224	39.13
80	vit_base_patch32_224	1658.09	307.969	512	224	88.22
81	vit_base_patch32_224_sam	1657.82	308.015	512	224	88.22
82	efficientnet_lite0	1636.56	312.086	512	224	4.65
83	visformer_tiny	1629.51	313.524	512	224	10.32
84	gluon_resnet34_v1b	1626.25	314.261	512	224	21.8
85	resnet34	1624.32	314.625	512	224	21.8
86	tv_resnet34	1622.42	314.985	512	224	21.8
87	ghostnet_100	1610.26	316.618	512	224	5.18
88	hardcorenas_f	1606.37	317.568	512	224	8.2
89	pit_xs_distilled_224	1596.23	319.885	512	224	11.0
90	pit_xs_224	1595.39	320.023	512	224	10.62
91	hardcorenas_e	1595.11	319.841	512	224	8.07
92	tinynet_a	1592.8	320.187	512	192	6.19
93	resmlp_12_distilled_224	1562.43	326.888	512	224	15.35
94	resmlp_12_224	1562.2	326.933	512	224	15.35
95	regnety_008	1550.03	329.315	512	224	6.26
96	tf_efficientnet_lite0	1547.08	330.18	512	224	4.65
97	mixer_s16_224	1538.34	332.27	512	224	18.53
98	fbnetc_100	1532.35	333.142	512	224	5.57
99	seresnet34	1494.24	341.776	512	224	21.96
100	mnasnet_140	1493.96	341.916	512	224	7.12
101	nf_regnet_b0	1481.15	344.453	512	256	8.76
102	legacy_seresnet34	1458.06	350.271	512	224	21.96
103	gmixer_12_224	1449.53	352.403	512	224	12.7
104	gernet_m	1442.79	354.129	512	224	21.14
105	ese_vovnet19b_dw	1440.24	354.984	512	224	6.54
106	vit_small_patch32_384	1423.05	358.931	512	384	22.92
107	nf_resnet26	1422.6	359.386	512	224	16.0
108	efficientnet_b0	1413.79	270.572	384	224	5.29
109	dla46_c	1408.04	362.893	512	224	1.3
110	rexnetr_100	1385.71	275.935	384	224	4.88
111	mobilenetv2_110d	1384.57	276.313	384	224	4.52
112	rexnet_100	1381.06	276.903	384	224	4.8
113	vit_tiny_r_s16_p8_384	1371.38	279.143	384	384	6.36
114	ghostnet_130	1367.64	372.982	512	224	7.36
115	resnet34d	1367.17	373.876	512	224	21.82
116	tf_efficientnet_b0	1353.9	282.522	384	224	5.29
117	tf_efficientnet_b0_ap	1353.18	282.683	384	224	5.29
118	tf_efficientnet_b0_ns	1352.63	282.744	384	224	5.29
119	selecsls42	1349.71	378.706	512	224	30.35
120	selecsls42b	1347.34	379.337	512	224	32.46
121	gmlp_ti16_224	1340.35	284.915	384	224	5.87
122	regnetz_005	1326.54	384.587	512	224	7.12
123	crossvit_tiny_240	1322.74	385.447	512	240	7.01
124	resnet26	1321.4	386.974	512	224	16.0
125	semnasnet_140	1315.96	388.179	512	224	6.11
126	xcit_tiny_12_p16_224	1309.91	389.1	512	224	6.72
127	xcit_tiny_12_p16_224_dist	1303.81	390.894	512	224	6.72
128	hrnet_w18_small	1302.26	391.765	512	224	13.19
129	efficientnet_b1_pruned	1277.21	399.368	512	240	6.33
130	mobilevit_xxs	1270.89	301.046	384	256	1.27
131	mobilenetv2_140	1250.7	306.236	384	224	6.11
132	poolformer_s12	1245.33	410.466	512	224	11.92
133	crossvit_9_240	1236.49	309.127	384	240	8.55
134	nf_seresnet26	1207.14	423.49	512	224	17.4
135	tf_efficientnetv2_b1	1198.02	319.027	384	240	8.14
136	repvgg_b0	1184.29	431.28	512	224	15.82
137	crossvit_9_dagger_240	1177.9	324.572	384	240	8.78
138	selecsls60	1152.93	443.193	512	224	30.67
139	mixnet_s	1150.64	443.717	512	224	4.13
140	selecsls60b	1149.12	444.678	512	224	32.77
141	efficientnet_es	1142.77	447.293	512	224	5.44
142	efficientnet_es_pruned	1141.22	447.892	512	224	5.44
143	nf_ecaresnet26	1137.4	449.596	512	224	16.0
144	resnet26d	1125.5	454.383	512	224	16.01
145	tf_efficientnet_es	1120.47	456.18	512	224	5.44
146	efficientnet_lite1	1109.69	229.723	256	240	5.42
147	rexnetr_130	1097.15	232.191	256	224	7.61
148	tf_mixnet_s	1090.03	468.412	512	224	4.13
149	convit_tiny	1087.94	469.614	512	224	5.71
150	convnext_nano_hnf	1075.51	356.223	384	224	15.59
151	dla34	1072.51	476.787	512	224	15.74
152	tf_efficientnet_lite1	1061.0	240.288	256	240	5.42
153	dla46x_c	1058.5	482.972	512	224	1.07
154	rexnet_130	1051.04	242.43	256	224	7.56
155	regnetx_016	1042.11	490.415	512	224	9.19
156	mobilenetv2_120d	1036.53	245.787	256	224	5.83
157	skresnet34	1033.13	494.425	512	224	22.28
158	vit_small_patch16_224	1032.86	370.943	384	224	22.05
159	deit_small_patch16_224	1031.61	371.386	384	224	22.05
160	deit_small_distilled_patch16_224	1011.7	378.721	384	224	22.44
161	dla60x_c	1011.12	505.401	512	224	1.32
162	ecaresnet50d_pruned	1009.57	506.231	512	224	19.94
163	gernet_l	1007.43	507.303	512	256	31.08
164	efficientnet_b0_g16_evos	992.51	385.814	384	224	8.11
165	rexnetr_150	973.93	261.684	256	224	9.78
166	vit_base2_patch32_256	970.35	526.818	512	256	119.46
167	pit_s_distilled_224	963.9	264.693	256	224	24.04
168	pit_s_224	963.25	264.885	256	224	23.46
169	fbnetv3_b	936.5	408.4	384	256	8.6
170	rexnet_150	934.54	272.774	256	224	9.73
171	repvgg_a2	931.84	548.616	512	224	28.21
172	legacy_seresnext26_32x4d	930.69	411.955	384	224	16.79
173	regnety_016	921.99	553.558	512	224	11.2
174	resnest14d	909.12	562.716	512	224	10.61
175	efficientnet_cc_b0_4e	892.75	428.931	384	224	13.31
176	efficientnet_cc_b0_8e	889.3	430.599	384	224	24.01
177	coat_lite_tiny	885.61	432.738	384	224	5.72
178	nf_regnet_b1	883.44	578.138	512	288	10.22
179	resnetv2_50	883.05	579.001	512	224	25.55
180	resnext26ts	882.89	434.405	384	256	10.3
181	resnet26t	880.13	581.227	512	256	16.01
182	tf_efficientnetv2_b2	877.18	290.276	256	260	10.1
183	fbnetv3_d	875.63	290.586	256	256	10.31
184	nf_regnet_b2	875.24	583.366	512	272	14.31
185	tf_efficientnet_cc_b0_4e	872.5	438.913	384	224	13.31
186	tf_efficientnet_cc_b0_8e	867.49	441.45	384	224	24.01
187	efficientnet_b0_gn	860.35	296.448	256	224	5.29
188	eca_resnext26ts	852.81	299.643	256	256	10.3
189	seresnext26ts	848.06	301.17	256	256	10.39
190	botnet26t_256	835.32	459.139	384	256	12.49
191	gluon_resnet50_v1b	835.19	458.946	384	224	25.56
192	twins_svt_small	835.02	458.264	384	224	24.06
193	swsl_resnet50	834.38	459.391	384	224	25.56
194	resnet50	833.17	460.051	384	224	25.56
195	tf_efficientnet_b1_ap	832.71	305.903	256	240	7.79
196	tf_efficientnet_b1	832.37	306.044	256	240	7.79
197	tf_efficientnet_b1_ns	831.62	306.366	256	240	7.79
198	tv_resnet50	831.54	460.947	384	224	25.56
199	efficientnet_b2_pruned	831.45	306.38	256	260	8.31
200	seresnext26tn_32x4d	831.09	461.371	384	224	16.81
201	seresnext26d_32x4d	830.66	461.598	384	224	16.81
202	gcresnext26ts	830.6	307.372	256	256	10.48
203	seresnext26t_32x4d	830.1	461.943	384	224	16.81
204	ssl_resnet50	828.96	462.397	384	224	25.56
205	coat_lite_mini	825.96	464.063	384	224	11.01
206	vgg11	818.58	625.301	512	224	132.86
207	halonet26t	813.08	471.69	384	256	12.48
208	vit_small_resnet26d_224	812.32	471.613	384	224	63.61
209	eca_botnext26ts_256	804.88	317.468	256	256	10.59
210	efficientnet_lite2	800.14	318.978	256	260	6.09
211	efficientnet_b1	797.8	319.366	256	256	7.79
212	resnetv2_50t	793.9	644.111	512	224	25.57
213	ecaresnext26t_32x4d	792.87	483.752	384	224	15.41
214	ecaresnext50t_32x4d	790.88	484.99	384	224	15.41
215	resnetv2_50d	790.5	646.873	512	224	25.57
216	tresnet_m	787.27	647.568	512	224	31.39
217	convnext_tiny	782.73	326.109	256	224	28.59
218	eca_halonext26ts	781.32	327.03	256	256	10.76
219	vovnet39a	779.14	656.53	512	224	22.6
220	ecaresnet101d_pruned	778.75	655.702	512	224	24.88
221	mixnet_m	778.63	491.619	384	224	5.01
222	cspresnet50	774.32	495.068	384	256	21.62
223	tf_efficientnet_lite2	771.04	331.043	256	260	6.09
224	gluon_resnet50_v1c	769.5	498.184	384	224	25.58
225	ecaresnetlight	767.59	666.098	512	224	30.16
226	resmlp_24_224	766.31	332.575	256	224	30.02
227	resmlp_24_distilled_224	766.21	332.58	256	224	30.02
228	cspresnext50	765.28	500.93	384	224	20.57
229	resnet50t	753.13	509.003	384	224	25.57
230	resnet50d	752.95	509.12	384	224	25.58
231	gluon_resnet50_v1d	752.94	509.122	384	224	25.58
232	legacy_seresnet50	751.28	510.001	384	224	28.09
233	mobilevit_xs	751.23	339.638	256	256	2.32
234	tf_mixnet_m	748.19	511.684	384	224	5.01
235	ese_vovnet39b	748.06	683.786	512	224	24.57
236	resnet32ts	744.11	343.453	256	256	17.96
237	visformer_small	743.29	515.928	384	224	40.22
238	dpn68b	737.5	519.461	384	224	12.61
239	selecsls84	735.99	694.378	512	224	50.95
240	resnet33ts	732.63	348.809	256	256	19.68
241	nf_seresnet50	732.06	523.375	384	224	28.09
242	rexnetr_200	724.64	263.786	192	224	16.52
243	lambda_resnet26t	724.61	529.342	384	256	10.96
244	seresnet50	722.32	530.5	384	224	28.09
245	dpn68	721.48	531.095	384	224	12.61
246	res2net50_48w_2s	717.64	534.245	384	224	25.29
247	gmixer_24_224	717.31	355.331	256	224	24.72
248	eca_resnet33ts	712.11	358.824	256	256	19.68
249	seresnet33ts	709.27	360.12	256	256	19.78
250	bat_resnext26ts	708.45	360.137	256	256	10.73
251	rexnet_200	703.57	271.754	192	224	16.37
252	resnetblur50	702.19	546.026	384	224	25.56
253	cspresnet50d	701.76	546.305	384	256	21.64
254	vgg11_bn	698.67	549.368	384	224	132.87
255	twins_pcpvt_small	698.21	364.986	256	224	24.11
256	eca_vovnet39b	697.82	733.074	512	224	22.6
257	efficientnet_em	694.64	551.807	384	240	6.9
258	dla60	693.8	552.499	384	224	22.04
259	tf_efficientnet_em	692.96	368.419	256	240	6.9
260	cspresnet50w	692.76	553.433	384	256	28.12
261	resnest26d	688.5	556.976	384	224	17.07
262	gcresnet33ts	687.02	371.584	256	256	19.88
263	tv_densenet121	686.65	371.007	256	224	7.98
264	densenet121	686.51	371.091	256	224	7.98
265	vit_small_r26_s32_224	685.79	371.994	256	224	36.43
266	convnext_tiny_hnf	683.74	373.449	256	224	28.59
267	xcit_nano_12_p16_384_dist	682.7	373.202	256	384	3.05
268	xcit_tiny_24_p16_224_dist	681.26	372.348	256	224	12.12
269	lambda_resnet26rpt_256	679.63	281.896	192	256	10.99
270	xcit_tiny_24_p16_224	679.38	373.443	256	224	12.12
271	vit_base_resnet26d_224	679.21	563.967	384	224	101.4
272	resnetaa50d	678.8	564.84	384	224	25.58
273	nf_ecaresnet50	673.73	568.984	384	224	25.56
274	hrnet_w18_small_v2	672.52	758.874	512	224	15.6
275	gluon_resnet50_v1s	671.98	570.574	384	224	25.68
276	efficientnet_b0_g8_gn	661.67	385.796	256	224	6.56
277	seresnet50t	659.6	581.03	384	224	28.1
278	efficientnet_b3_pruned	657.34	387.781	256	300	9.86
279	haloregnetz_b	656.48	388.419	256	224	11.68
280	tv_resnext50_32x4d	651.27	588.791	384	224	25.03
281	swsl_resnext50_32x4d	651.11	588.925	384	224	25.03
282	gluon_resnext50_32x4d	650.97	589.059	384	224	25.03
283	ssl_resnext50_32x4d	650.9	589.136	384	224	25.03
284	resnext50_32x4d	649.99	589.957	384	224	25.03
285	resnetrs50	648.71	590.781	384	224	35.69
286	densenet121d	646.33	394.275	256	224	8.0
287	regnetx_032	643.77	595.296	384	224	15.3
288	resnetblur50d	642.77	397.429	256	224	25.58
289	res2net50_26w_4s	636.71	601.86	384	224	25.7
290	swin_tiny_patch4_window7_224	635.13	402.044	256	224	28.29
291	skresnet50	634.96	603.369	384	224	25.8
292	poolformer_s24	634.53	402.132	256	224	21.39
293	gmlp_s16_224	632.58	301.939	192	224	19.42
294	ese_vovnet57b	632.35	606.334	384	224	38.61
295	crossvit_small_240	625.73	407.457	256	240	26.86
296	xcit_small_12_p16_224_dist	625.08	407.723	256	224	26.25
297	xcit_small_12_p16_224	624.67	407.992	256	224	26.25
298	densenetblur121d	617.78	412.569	256	224	8.0
299	ecaresnet50d	612.94	625.548	384	224	25.58
300	tf_efficientnet_b2_ns	610.27	313.114	192	260	9.11
301	tf_efficientnet_b2_ap	610.1	313.168	192	260	9.11
302	tf_efficientnet_b2	609.89	313.274	192	260	9.11
303	mixnet_l	603.6	634.707	384	224	7.33
304	gluon_inception_v3	601.71	636.771	384	299	23.83
305	inception_v3	601.07	637.475	384	299	23.83
306	adv_inception_v3	601.02	637.509	384	299	23.83
307	tf_inception_v3	600.65	637.912	384	299	23.83
308	sehalonet33ts	599.96	425.883	256	256	13.69
309	seresnetaa50d	599.53	425.823	256	224	28.11
310	resnext50d_32x4d	598.58	426.825	256	224	25.05
311	mobilevit_s	596.24	320.895	192	256	5.58
312	resnetv2_50x1_bit_distilled	588.8	325.252	192	224	25.55
313	gcresnet50t	583.98	436.858	256	256	25.9
314	skresnet50d	583.54	437.238	256	224	25.82
315	swin_s3_tiny_224	576.57	442.971	256	224	28.33
316	seresnext50_32x4d	576.37	443.036	256	224	27.56
317	gluon_seresnext50_32x4d	576.3	443.051	256	224	27.56
318	tf_mixnet_l	576.22	442.743	256	224	7.33
319	legacy_seresnext50_32x4d	575.52	443.681	256	224	27.56
320	res2next50	575.07	443.835	256	224	24.67
321	repvgg_b1g4	572.25	893.649	512	224	39.97
322	cspresnext50_iabn	572.06	669.169	384	256	20.57
323	convnext_tiny_hnfd	570.41	447.777	256	224	28.63
324	res2net50_14w_8s	569.05	447.639	256	224	25.06
325	resnest50d_1s4x24d	568.93	448.655	256	224	25.68
326	cait_xxs24_224	568.71	447.7	256	224	11.96
327	crossvit_15_240	567.12	336.74	192	240	27.53
328	semobilevit_s	566.94	337.375	192	256	5.74
329	densenet169	563.82	451.519	256	224	14.15
330	efficientnet_b2	561.37	340.497	192	288	9.11
331	efficientnet_cc_b1_8e	559.34	455.785	256	240	39.72
332	efficientnet_b2a	558.58	342.255	192	288	9.11
333	darknet53	556.85	458.909	256	256	41.61
334	dla60_res2net	555.54	459.405	256	224	20.85
335	dla60x	553.4	461.598	256	224	17.35
336	mixer_b16_224	552.46	462.598	256	224	59.88
337	nf_resnet101	550.61	695.793	384	224	44.55
338	tf_efficientnet_cc_b1_8e	549.81	463.949	256	240	39.72
339	regnetx_040	549.5	697.703	384	224	22.12
340	mixer_b16_224_miil	549.25	465.267	256	224	59.88
341	crossvit_15_dagger_240	547.66	348.734	192	240	28.21
342	nf_regnet_b3	547.65	465.691	256	320	18.59
343	vovnet57a	547.59	934.12	512	224	36.64
344	resnetv2_101	544.49	468.639	256	224	44.54
345	xcit_nano_12_p8_224	542.16	470.425	256	224	3.05
346	xcit_nano_12_p8_224_dist	541.55	470.928	256	224	3.05
347	tf_efficientnetv2_b3	541.54	352.751	192	300	14.36
348	sebotnet33ts_256	540.04	236.225	128	256	13.7
349	gcresnext50ts	538.97	354.583	192	256	15.67
350	nf_resnet50	536.27	715.168	384	288	25.56
351	resnet50_gn	532.97	359.41	192	224	25.56
352	vit_base_r26_s32_224	532.84	359.064	192	224	101.38
353	vit_base_patch32_384	531.15	481.156	256	384	88.3
354	efficientnetv2_rw_t	527.04	362.193	192	288	13.65
355	resnet101	526.31	484.87	256	224	44.55
356	gluon_resnet101_v1b	525.74	485.353	256	224	44.55
357	tv_resnet101	523.69	487.267	256	224	44.55
358	vit_large_patch32_224	515.11	495.389	256	224	306.54
359	vit_base_resnet50d_224	514.44	495.989	256	224	110.97
360	mixer_l32_224	507.93	376.544	192	224	206.94
361	resnetv2_101d	506.46	503.899	256	224	44.56
362	swin_v2_cr_tiny_224	505.66	378.391	192	224	28.33
363	vit_tiny_patch16_384	505.36	252.456	128	384	5.79
364	resmlp_36_224	505.0	378.005	192	224	44.69
365	resmlp_36_distilled_224	504.83	378.088	192	224	44.69
366	swin_v2_cr_tiny_ns_224	503.02	380.384	192	224	28.33
367	repvgg_b1	501.28	1020.314	512	224	57.42
368	dla60_res2next	500.08	510.484	256	224	17.03
369	gluon_resnet101_v1c	498.53	511.943	256	224	44.57
370	wide_resnet50_2	491.97	779.7	384	224	68.88
371	gluon_resnet101_v1d	491.71	519.004	256	224	44.57
372	resnest50d	484.85	526.671	256	224	27.48
373	vgg13	482.75	795.25	384	224	133.05
374	cspdarknet53	481.82	530.306	256	256	27.64
375	gc_efficientnetv2_rw_t	480.93	396.503	192	288	13.68
376	convnext_small	478.98	399.137	192	224	50.22
377	efficientnet_lite3	478.82	266.239	128	300	8.2
378	ecaresnet26t	478.49	534.465	256	320	16.01
379	nest_tiny	477.21	267.341	128	224	17.06
380	regnetz_b16	476.53	401.488	192	288	9.72
381	dla102	475.31	537.042	256	224	33.27
382	cspdarknet53_iabn	474.61	806.628	384	256	27.64
383	res2net50_26w_6s	474.4	537.903	256	224	37.05
384	jx_nest_tiny	469.53	271.701	128	224	17.06
385	twins_pcpvt_base	465.48	409.697	192	224	43.83
386	vgg13_bn	465.35	549.842	256	224	133.05
387	halonet50ts	463.11	413.595	192	256	22.73
388	regnetx_080	462.29	829.538	384	224	39.57
389	lambda_resnet50ts	461.63	414.909	192	256	21.54
390	coat_lite_small	461.47	414.609	192	224	19.84
391	legacy_seresnet101	460.47	553.804	256	224	49.33
392	vgg16	459.25	557.204	256	224	138.36
393	tf_efficientnet_lite3	458.84	277.849	128	300	8.2
394	resnetaa101d	458.35	556.916	256	224	44.57
395	gluon_resnet101_v1s	456.37	559.352	256	224	44.67
396	xcit_tiny_12_p16_384_dist	451.6	423.4	192	384	6.72
397	seresnet101	447.82	569.466	256	224	49.33
398	densenet201	447.49	426.067	192	224	20.01
399	mixnet_xl	447.09	570.692	256	224	11.9
400	nf_seresnet101	444.89	573.162	256	224	49.33
401	convit_small	441.84	433.517	192	224	27.78
402	resnetblur101d	441.53	578.26	256	224	44.57
403	nfnet_l0	426.47	599.103	256	288	35.07
404	skresnext50_32x4d	424.37	601.881	256	224	27.48
405	poolformer_s36	424.29	450.68	192	224	30.86
406	botnet50ts_256	421.6	302.649	128	256	22.74
407	halo2botnet50ts_256	418.8	457.379	192	256	22.64
408	gluon_resnext101_32x4d	418.26	610.512	256	224	44.18
409	resnext101_32x4d	417.6	611.486	256	224	44.18
410	ssl_resnext101_32x4d	417.52	611.578	256	224	44.18
411	swsl_resnext101_32x4d	417.45	611.654	256	224	44.18
412	fbnetv3_g	415.62	305.885	128	288	16.62
413	twins_svt_base	413.84	461.835	192	224	56.07
414	ese_vovnet39b_evos	413.01	308.979	128	224	24.58
415	res2net101_26w_4s	405.25	629.29	256	224	45.21
416	eca_nfnet_l0	404.73	631.533	256	288	24.14
417	tresnet_l	403.54	1265.42	512	224	55.99
418	lamhalobotnet50ts_256	403.43	474.897	192	256	22.57
419	volo_d1_224	400.45	478.074	192	224	26.63
420	crossvit_18_240	400.32	317.735	128	240	43.27
421	resnet51q	397.98	481.556	192	288	35.7
422	nf_ecaresnet101	396.22	644.266	256	224	44.55
423	dla102x	392.86	487.139	192	224	26.31
424	vit_base_patch16_224_miil	392.0	489.026	192	224	86.54
425	swin_small_patch4_window7_224	391.85	488.136	192	224	49.61
426	regnety_032	391.81	651.958	256	288	19.44
427	regnetx_064	390.82	654.137	256	224	26.21
428	res2net50_26w_8s	389.26	655.478	256	224	48.4
429	vgg16_bn	388.47	658.66	256	224	138.37
430	deit_base_patch16_224	386.56	495.833	192	224	86.57
431	crossvit_18_dagger_240	386.08	329.466	128	240	44.27
432	vit_base_patch16_224	385.82	496.783	192	224	86.57
433	resnest50d_4s2x40d	385.78	662.242	256	224	30.42
434	xception	384.95	331.72	128	299	22.86
435	vit_base_patch16_224_sam	384.94	497.961	192	224	86.57
436	ecaresnet101d	381.61	669.061	256	224	44.57
437	deit_base_distilled_patch16_224	379.86	504.583	192	224	87.34
438	resnetv2_152	379.0	673.236	256	224	60.19
439	repvgg_b2g4	377.95	1353.629	512	224	61.76
440	ese_vovnet99b	373.94	683.067	256	224	63.2
441	vit_small_resnet50d_s16_224	373.61	512.677	192	224	57.53
442	cait_xxs36_224	371.71	512.777	192	224	17.3
443	resnet152	371.52	514.561	192	224	60.19
444	tv_resnet152	371.15	515.007	192	224	60.19
445	gluon_resnet152_v1b	368.93	518.118	192	224	60.19
446	gluon_seresnext101_32x4d	368.19	519.228	192	224	48.96
447	seresnext101_32x4d	367.5	520.242	192	224	48.96
448	nfnet_f0	366.97	696.402	256	256	71.49
449	legacy_seresnext101_32x4d	366.06	522.375	192	224	48.96
450	tf_efficientnet_b3_ap	364.58	349.402	128	300	12.23
451	tf_efficientnet_b3_ns	364.49	349.53	128	300	12.23
452	tf_efficientnet_b3	364.34	349.633	128	300	12.23
453	resnetv2_152d	361.2	529.264	192	224	60.2
454	resnet61q	358.48	356.024	128	288	36.85
455	resnetv2_50d_frn	357.45	356.923	128	224	25.59
456	ese_vovnet99b_iabn	357.31	1071.637	384	224	63.2
457	gluon_resnet152_v1c	355.88	537.206	192	224	60.21
458	hrnet_w18	355.73	714.824	256	224	21.3
459	efficientnet_b3	355.08	358.849	128	320	12.23
460	efficientnet_b3a	354.83	359.115	128	320	12.23
461	regnety_040	354.78	539.617	192	288	20.65
462	beit_base_patch16_224	353.55	541.973	192	224	86.53
463	gluon_resnet152_v1d	353.52	540.757	192	224	60.21
464	regnety_040s_gn	353.11	360.919	128	224	20.65
465	vgg19	352.0	1090.659	384	224	143.67
466	xcit_tiny_12_p8_224	351.32	362.59	128	224	6.71
467	xcit_tiny_12_p8_224_dist	351.06	362.838	128	224	6.71
468	xception41p	343.38	371.913	128	299	26.91
469	regnetv_040	342.33	372.402	128	288	20.64
470	tnt_s_patch16_224	339.73	563.196	192	224	23.76
471	repvgg_b2	339.2	1508.352	512	224	89.02
472	vgg19_bn	336.08	761.352	256	224	143.68
473	gluon_resnet152_v1s	334.98	570.781	192	224	60.32
474	densenet161	332.41	382.595	128	224	28.68
475	dm_nfnet_f0	331.82	770.266	256	256	71.49
476	dla169	331.14	577.405	192	224	53.39
477	resnetv2_50d_gn	330.91	385.985	128	288	25.57
478	convnext_base_in22ft1k	328.04	388.471	128	224	88.59
479	convnext_tiny_in22ft1k	327.7	388.845	128	224	88.59
480	convnext_small_in22ft1k	326.36	390.508	128	224	88.59
481	convnext_base	325.78	391.109	128	224	88.59
482	xcit_small_24_p16_224_dist	322.26	393.856	128	224	47.67
483	xcit_small_24_p16_224	321.22	395.027	128	224	47.67
484	repvgg_b3g4	321.08	1194.912	384	224	83.83
485	pit_b_224	319.89	399.203	128	224	73.76
486	twins_pcpvt_large	319.03	397.109	128	224	60.99
487	pit_b_distilled_224	318.55	400.853	128	224	74.79
488	legacy_seresnet152	315.59	605.069	192	224	66.82
489	dpn92	314.54	812.398	256	224	37.67
490	inception_v4	312.24	612.734	192	299	42.68
491	regnetx_120	309.13	827.171	256	224	46.11
492	hrnet_w32	308.88	823.922	256	224	41.23
493	convmixer_1024_20_ks9_p14	308.12	830.025	256	224	24.38
494	ecaresnet50t	306.63	416.493	128	320	25.57
495	seresnet152	305.84	415.318	128	224	66.82
496	coat_tiny	303.51	419.779	128	224	5.5
497	vit_small_patch16_36x1_224	303.33	419.341	128	224	64.67
498	regnetz_c16	302.72	421.37	128	320	13.46
499	vit_small_patch16_18x2_224	302.0	421.199	128	224	64.67
500	hrnet_w30	301.17	845.104	256	224	37.71
501	swin_v2_cr_small_224	300.16	424.024	128	224	49.7
502	nest_small	296.43	322.186	96	224	38.35
503	tresnet_xl	295.35	1296.648	384	224	78.44
504	jx_nest_small	294.56	324.278	96	224	38.35
505	efficientnet_el	291.47	438.031	128	300	10.59
506	xception41	291.46	437.936	128	299	26.97
507	efficientnet_el_pruned	291.16	438.564	128	300	10.59
508	regnety_120	291.14	658.173	192	224	51.82
509	cait_s24_224	290.55	438.065	128	224	46.92
510	nf_regnet_b4	288.27	441.948	128	384	30.21
511	twins_svt_large	288.14	442.123	128	224	99.27
512	wide_resnet101_2	287.9	665.343	192	224	126.89
513	mixnet_xxl	287.84	442.746	128	224	23.96
514	tf_efficientnet_el	286.59	445.507	128	300	10.59
515	poolformer_m36	284.22	448.517	128	224	56.17
516	swin_s3_small_224	277.99	343.436	96	224	49.74
517	repvgg_b3	276.27	1388.871	384	224	123.09
518	swin_base_patch4_window7_224	273.38	466.273	128	224	87.77
519	gmlp_b16_224	266.77	358.289	96	224	73.08
520	gluon_resnext101_64x4d	266.55	478.624	128	224	83.46
521	dla102x2	265.99	479.601	128	224	41.28
522	resnet200	264.41	481.093	128	224	64.67
523	resnetv2_50d_evob	261.14	366.354	96	224	25.59
524	regnetx_160	260.8	735.124	192	224	54.28
525	xception65p	258.86	493.161	128	299	39.82
526	inception_resnet_v2	255.7	747.606	192	299	55.84
527	ens_adv_inception_resnet_v2	255.53	748.108	192	299	55.84
528	resnetrs101	253.22	503.169	128	288	63.62
529	resnext101_32x8d	252.1	506.144	128	224	88.79
530	ig_resnext101_32x8d	251.82	506.789	128	224	88.79
531	ssl_resnext101_32x8d	251.44	507.525	128	224	88.79
532	swsl_resnext101_32x8d	251.43	507.504	128	224	88.79
533	crossvit_base_240	250.95	380.881	96	240	105.03
534	dpn98	249.4	511.692	128	224	61.57
535	efficientnet_lite4	247.4	257.372	64	380	13.01
536	coat_mini	246.33	517.632	128	224	10.34
537	efficientnetv2_s	245.94	388.167	96	384	21.46
538	gluon_seresnext101_64x4d	243.95	522.441	128	224	88.23
539	tf_efficientnetv2_s_in21ft1k	243.54	391.981	96	384	21.46
540	tf_efficientnetv2_s	242.89	393.02	96	384	21.46
541	resnet101d	240.52	530.628	128	320	44.57
542	resnest101e	240.15	530.415	128	256	48.28
543	tf_efficientnet_lite4	239.36	265.97	64	380	13.01
544	vit_small_patch16_384	235.44	270.99	64	384	22.2
545	xcit_tiny_24_p16_384_dist	233.56	407.54	96	384	12.12
546	efficientnetv2_rw_s	232.48	273.03	64	384	23.94
547	regnety_064	232.21	549.529	128	288	30.58
548	xcit_medium_24_p16_224_dist	231.18	550.33	128	224	84.4
549	xcit_medium_24_p16_224	231.11	550.432	128	224	84.4
550	vit_large_r50_s32_224	229.5	415.85	96	224	328.99
551	regnetv_064	225.87	564.974	128	288	30.58
552	vit_small_r26_s32_384	225.43	282.622	64	384	36.47
553	convit_base	225.0	567.909	128	224	86.54
554	gluon_xception65	223.32	427.945	96	299	39.92
555	xception65	222.42	429.727	96	299	39.92
556	tnt_b_patch16_224	222.32	573.844	128	224	65.41
557	volo_d2_224	221.58	431.459	96	224	58.68
558	regnety_080	221.2	577.488	128	288	39.18
559	hrnet_w40	220.15	867.238	192	224	57.56
560	swin_s3_base_224	219.92	433.728	96	224	71.13
561	xcit_small_12_p16_384_dist	216.0	442.656	96	384	26.25
562	swin_v2_cr_base_224	214.24	445.643	96	224	87.88
563	hrnet_w48	213.16	895.867	192	224	77.47
564	resnetv2_50d_evos	211.1	226.199	48	288	25.59
565	nest_base	210.29	302.692	64	224	67.72
566	jx_nest_base	209.17	304.343	64	224	67.72
567	vit_base_r50_s16_224	208.73	458.333	96	224	98.66
568	tresnet_m_448	206.95	924.987	192	448	31.39
569	hrnet_w44	206.72	924.031	192	224	67.06
570	efficientnet_b4	203.38	312.633	64	384	19.34
571	regnetz_b16_evos	201.27	316.106	64	288	9.74
572	regnetz_040h	199.85	318.401	64	320	28.94
573	regnetz_040	199.66	318.691	64	320	27.12
574	efficientnet_b3_gn	199.47	319.133	64	320	11.73
575	densenet264	199.22	477.999	96	224	72.69
576	regnetz_d8	197.46	322.524	64	320	23.37
577	eca_nfnet_l1	189.9	672.191	128	320	41.41
578	tf_efficientnet_b4	188.81	336.904	64	380	19.34
579	tf_efficientnet_b4_ns	188.45	337.501	64	380	19.34
580	tf_efficientnet_b4_ap	188.4	337.642	64	380	19.34
581	poolformer_m48	187.63	509.206	96	224	73.47
582	dpn131	186.23	685.159	128	224	79.25
583	regnetz_d32	186.08	342.366	64	320	27.58
584	xcit_nano_12_p8_384_dist	183.21	347.477	64	384	3.05
585	convnext_large_in22ft1k	182.13	525.349	96	224	197.77
586	convnext_large	180.72	529.451	96	224	197.77
587	xcit_tiny_24_p8_224_dist	179.19	532.437	96	224	12.11
588	xcit_tiny_24_p8_224	179.14	532.524	96	224	12.11
589	dpn107	174.56	731.55	128	224	86.92
590	resnet152d	172.45	554.35	96	320	60.21
591	hrnet_w64	170.75	744.856	128	224	128.06
592	halonet_h1	170.55	373.795	64	256	8.1
593	xception71	168.15	378.514	64	299	42.34
594	mixer_l16_224	167.46	571.737	96	224	208.2
595	regnety_320	166.3	768.299	128	224	145.05
596	vit_large_patch32_384	165.23	579.454	96	384	306.63
597	densenet264d_iabn	165.07	1158.795	192	224	72.74
598	xcit_small_12_p8_224	164.33	387.646	64	224	26.21
599	xcit_small_12_p8_224_dist	164.16	388.107	64	224	26.21
600	efficientnet_b3_g8_gn	153.99	413.949	64	320	14.25
601	swin_large_patch4_window7_224	152.41	417.988	64	224	196.53
602	volo_d3_224	152.25	417.779	64	224	86.33
603	ecaresnet200d	150.97	632.522	96	256	64.69
604	seresnet200d	149.9	422.786	64	256	71.86
605	regnetx_320	146.61	871.937	128	224	107.81
606	seresnet152d	143.56	442.443	64	320	66.84
607	resnetv2_50x1_bitm	142.06	337.009	48	448	25.55
608	gluon_senet154	141.6	674.51	96	224	115.09
609	resnetrs152	141.55	448.821	64	320	86.62
610	senet154	141.16	676.729	96	224	115.09
611	legacy_senet154	139.88	683.0	96	224	115.09
612	regnety_160	136.04	704.372	96	288	83.59
613	xcit_large_24_p16_224_dist	130.76	486.175	64	224	189.1
614	xcit_large_24_p16_224	130.33	487.671	64	224	189.1
615	seresnext101_32x8d	126.87	502.294	64	288	93.57
616	nfnet_f1	125.34	763.802	96	320	132.63
617	resnet200d	124.61	510.654	64	320	64.69
618	regnetz_c16_evos	123.93	385.448	48	320	13.49
619	resnext101_64x4d	122.56	781.647	96	288	83.46
620	efficientnetv2_m	120.01	396.838	48	416	54.14
621	swin_v2_cr_large_224	119.95	397.782	48	224	196.68
622	xcit_tiny_12_p8_384_dist	119.32	400.563	48	384	6.71
623	vit_large_patch16_224	116.44	548.026	64	224	304.33
624	crossvit_15_dagger_408	116.23	273.461	32	408	28.5
625	seresnet269d	116.02	545.703	64	256	113.67
626	vit_base_patch16_18x2_224	115.21	552.796	64	224	256.73
627	convnext_xlarge_in22ft1k	113.61	561.618	64	224	350.2
628	convnext_base_384_in22ft1k	112.88	423.483	48	384	88.59
629	dm_nfnet_f1	112.71	565.567	64	320	132.63
630	convnext_tiny_384_in22ft1k	112.65	424.398	48	384	88.59
631	convnext_small_384_in22ft1k	112.59	424.604	48	384	88.59
632	nf_regnet_b5	112.22	567.655	64	456	49.74
633	swin_v2_cr_tiny_384	111.16	286.572	32	384	28.33
634	xcit_small_24_p16_384_dist	110.42	431.325	48	384	47.67
635	beit_large_patch16_224	107.44	593.678	64	224	304.43
636	regnetz_e8	103.46	461.955	48	320	57.7
637	efficientnetv2_rw_m	103.11	307.008	32	416	53.24
638	tresnet_l_448	101.52	1257.535	128	448	55.99
639	swsl_resnext101_32x16d	99.54	962.862	96	224	194.03
640	ig_resnext101_32x16d	99.3	965.129	96	224	194.03
641	ssl_resnext101_32x16d	99.25	965.706	96	224	194.03
642	volo_d1_384	98.94	322.06	32	384	26.78
643	resnetrs200	98.6	482.325	48	320	93.21
644	cait_xxs24_384	97.24	491.195	48	384	12.03
645	deit_base_patch16_384	95.92	332.748	32	384	86.86
646	vit_base_patch16_384	95.88	332.951	32	384	86.86
647	volo_d4_224	95.4	500.622	48	224	192.96
648	eca_nfnet_l2	94.36	675.671	64	384	56.72
649	deit_base_distilled_patch16_384	93.97	339.685	32	384	87.63
650	efficientnet_b5	90.42	351.458	32	456	30.39
651	tf_efficientnetv2_m	89.36	354.724	32	480	54.14
652	tf_efficientnetv2_m_in21ft1k	89.12	355.723	32	480	54.14
653	tf_efficientnet_b5	88.7	358.215	32	456	30.39
654	tf_efficientnet_b5_ap	88.68	358.368	32	456	30.39
655	tf_efficientnet_b5_ns	88.58	358.774	32	456	30.39
656	crossvit_18_dagger_408	87.86	362.177	32	408	44.61
657	resnetv2_101x1_bitm	87.29	364.971	32	448	44.54
658	convmixer_768_32	87.13	1100.537	96	224	21.11
659	resnetv2_152x2_bit_teacher	87.1	364.899	32	224	236.34
660	vit_large_patch14_224	84.6	565.739	48	224	304.2
661	regnetz_d8_evos	83.97	379.015	32	320	23.46
662	beit_base_patch16_384	82.88	385.038	32	384	86.74
663	xcit_small_24_p8_224_dist	82.62	383.85	32	224	47.63
664	xcit_small_24_p8_224	82.5	384.488	32	224	47.63
665	resnest200e	79.64	597.77	48	320	70.2
666	tresnet_xl_448	77.44	1236.244	96	448	78.44
667	xcit_medium_24_p16_384_dist	76.61	414.275	32	384	84.4
668	vit_large_r50_s32_384	76.27	417.132	32	384	329.09
669	swin_base_patch4_window12_384	73.39	434.11	32	384	87.9
670	nfnet_f2	71.5	668.121	48	352	193.78
671	resmlp_big_24_224_in22ft1k	68.15	468.085	32	224	129.14
672	resmlp_big_24_224	68.13	468.141	32	224	129.14
673	resmlp_big_24_distilled_224	68.08	468.542	32	224	129.14
674	pnasnet5large	66.87	474.686	32	331	86.06
675	swin_v2_cr_small_384	66.28	359.629	24	384	49.7
676	nasnetalarge	65.59	482.923	32	331	88.75
677	cait_xs24_384	65.34	487.167	32	384	26.67
678	dm_nfnet_f2	64.55	740.206	48	352	193.78
679	cait_xxs36_384	62.84	505.392	32	384	17.37
680	vit_base_patch8_224	62.83	381.142	24	224	86.58
681	convnext_large_384_in22ft1k	61.61	517.714	32	384	197.77
682	ecaresnet269d	61.52	515.695	32	352	102.09
683	volo_d5_224	61.49	517.153	32	224	295.46
684	xcit_tiny_24_p8_384_dist	60.46	525.849	32	384	12.11
685	xcit_medium_24_p8_224	59.24	536.775	32	224	84.32
686	xcit_medium_24_p8_224_dist	59.23	536.852	32	224	84.32
687	vit_base_resnet50_384	58.93	405.608	24	384	98.95
688	vit_base_r50_s16_384	58.91	405.68	24	384	98.95
689	resnetrs270	58.9	537.38	32	352	129.86
690	xcit_small_12_p8_384_dist	56.03	426.632	24	384	26.21
691	volo_d2_384	55.33	287.363	16	384	58.87
692	ig_resnext101_32x32d	52.68	605.908	32	224	468.53
693	eca_nfnet_l3	50.62	628.636	32	448	72.04
694	convmixer_1536_20	49.63	966.338	48	224	51.63
695	cait_s24_384	49.12	486.034	24	384	47.06
696	efficientnet_b6	48.5	327.112	16	528	43.04
697	tf_efficientnet_b6_ns	48.02	330.391	16	528	43.04
698	tf_efficientnet_b6_ap	47.83	331.608	16	528	43.04
699	tf_efficientnet_b6	47.78	331.966	16	528	43.04
700	efficientnetv2_l	47.17	334.927	16	480	118.52
701	swin_v2_cr_base_384	47.07	337.445	16	384	87.88
702	tf_efficientnetv2_l_in21ft1k	46.85	337.127	16	480	118.52
703	tf_efficientnetv2_l	46.53	339.329	16	480	118.52
704	swin_v2_cr_huge_224	46.2	343.813	16	224	657.83
705	xcit_large_24_p16_384_dist	44.95	530.527	24	384	189.1
706	swin_large_patch4_window12_384	41.24	386.07	16	384	196.74
707	vit_huge_patch14_224	39.65	401.44	16	224	632.05
708	resnetrs350	37.15	638.194	24	384	163.96
709	convnext_xlarge_384_in22ft1k	36.94	431.409	16	384	350.2
710	nfnet_f3	35.43	673.367	24	416	254.92
711	resnest269e	33.7	705.124	24	416	110.93
712	xcit_large_24_p8_224_dist	33.34	476.606	16	224	188.93
713	xcit_large_24_p8_224	33.33	476.71	16	224	188.93
714	dm_nfnet_f3	32.28	738.882	24	416	254.92
715	resnetv2_50x3_bitm	31.96	499.813	16	448	217.32
716	cait_s36_384	31.71	500.682	16	384	68.37
717	resnetv2_152x2_bit_teacher_384	31.41	506.876	16	384	236.34
718	tf_efficientnetv2_xl_in21ft1k	31.07	380.33	12	512	208.12
719	efficientnetv2_xl	30.57	386.62	12	512	208.12
720	efficientnet_b7	30.54	258.47	8	600	66.35
721	tf_efficientnet_b7	30.24	261.049	8	600	66.35
722	tf_efficientnet_b7_ap	30.18	261.545	8	600	66.35
723	tf_efficientnet_b7_ns	30.17	261.527	8	600	66.35
724	vit_large_patch16_384	29.1	410.723	12	384	304.72
725	xcit_small_24_p8_384_dist	28.47	558.499	16	384	47.63
726	swin_v2_cr_large_384	28.33	421.122	12	384	196.68
727	ig_resnext101_32x48d	27.82	573.581	16	224	828.41
728	resnetrs420	25.59	615.408	16	416	191.89
729	beit_large_patch16_384	24.96	478.806	12	384	305.0
730	volo_d3_448	23.79	333.801	8	448	86.63
731	vit_giant_patch14_224	22.41	354.342	8	224	1012.61
732	resnetv2_152x2_bitm	21.79	364.675	8	448	236.34
733	xcit_medium_24_p8_384_dist	19.42	408.574	8	384	84.32
734	nfnet_f4	18.89	630.122	12	512	316.07
735	resnetv2_101x3_bitm	17.61	452.554	8	448	387.93
736	dm_nfnet_f4	17.17	693.324	12	512	316.07
737	volo_d4_448	16.84	353.766	6	448	193.41
738	efficientnet_b8	14.4	412.697	6	672	87.41
739	tf_efficientnet_b8_ap	14.32	415.19	6	672	87.41
740	tf_efficientnet_b8	14.24	417.31	6	672	87.41
741	nfnet_f5	12.31	643.8	8	544	377.21
742	cait_m36_384	11.75	507.058	6	384	271.22
743	xcit_large_24_p8_384_dist	11.36	524.55	6	384	188.93
744	dm_nfnet_f5	11.21	706.654	8	544	377.21
745	volo_d5_448	11.01	359.686	4	448	295.91
746	swin_v2_cr_huge_384	10.89	364.734	4	384	657.94
747	tf_efficientnet_l2_ns_475	10.43	377.703	4	475	480.31
748	nfnet_f6	10.18	778.679	8	576	438.36
749	beit_large_patch16_512	9.37	425.057	4	512	305.67
750	dm_nfnet_f6	8.56	692.978	6	576	438.36
751	volo_d5_512	7.76	383.588	3	512	296.09
752	nfnet_f7	7.54	787.101	6	608	499.5
753	cait_m48_448	4.71	419.695	2	448	356.46
754	resnetv2_152x4_bitm	4.53	438.64	2	480	936.53
755	tf_efficientnet_l2_ns	2.96	331.907	1	800	480.31
756	efficientnet_l2	2.92	336.419	1	800	480.31