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

1	model	infer_samples_per_sec	infer_step_time	infer_batch_size	infer_img_size	param_count
2	tinynet_e	47972.76	21.335	1024	106	2.04
3	mobilenetv3_small_050	42473.43	24.099	1024	224	1.59
4	lcnet_035	39739.31	25.756	1024	224	1.64
5	lcnet_050	35211.0	29.071	1024	224	1.88
6	mobilenetv3_small_075	31410.3	32.589	1024	224	2.04
7	mobilenetv3_small_100	28111.39	36.416	1024	224	2.54
8	tf_mobilenetv3_small_minimal_100	27538.82	37.173	1024	224	2.04
9	tinynet_d	26670.17	38.384	1024	152	2.34
10	tf_mobilenetv3_small_075	26522.93	38.597	1024	224	2.04
11	tf_mobilenetv3_small_100	24036.65	42.591	1024	224	2.54
12	lcnet_075	22451.72	45.598	1024	224	2.36
13	levit_128s	19963.52	51.282	1024	224	7.78
14	mnasnet_small	19706.27	51.952	1024	224	2.03
15	lcnet_100	18132.59	56.461	1024	224	2.95
16	mobilenetv2_035	17586.23	58.217	1024	224	1.68
17	ghostnet_050	16726.5	61.209	1024	224	2.59
18	regnetx_002	16238.56	63.048	1024	224	2.68
19	regnety_002	15227.23	67.235	1024	224	3.16
20	mnasnet_050	15022.24	68.154	1024	224	2.22
21	tinynet_c	14089.9	72.665	1024	184	2.46
22	mobilenetv2_050	14032.51	72.961	1024	224	1.97
23	levit_128	13679.77	74.845	1024	224	9.21
24	semnasnet_050	13508.98	75.79	1024	224	2.08
25	vit_small_patch32_224	12109.88	84.548	1024	224	22.88
26	mixer_s32_224	11702.15	87.494	1024	224	19.1
27	levit_192	11695.39	87.545	1024	224	10.95
28	lcnet_150	11564.86	88.533	1024	224	4.5
29	mobilenetv3_large_075	11407.33	89.755	1024	224	3.99
30	gernet_s	10837.81	94.473	1024	224	8.17
31	vit_tiny_r_s16_p8_224	10598.14	96.609	1024	224	6.34
32	mobilenetv3_rw	10164.28	100.733	1024	224	5.48
33	tf_mobilenetv3_large_075	10125.76	101.117	1024	224	3.99
34	regnetx_004	10069.8	101.678	1024	224	5.16
35	mobilenetv3_large_100	10017.28	102.212	1024	224	5.48
36	mobilenetv3_large_100_miil	10014.68	102.238	1024	224	5.48
37	ese_vovnet19b_slim_dw	9944.69	102.957	1024	224	1.9
38	hardcorenas_a	9792.24	104.561	1024	224	5.26
39	mnasnet_075	9774.09	104.755	1024	224	3.17
40	tf_mobilenetv3_large_minimal_100	9771.38	104.784	1024	224	3.92
41	ghostnet_100	9041.17	113.248	1024	224	5.18
42	hardcorenas_b	9021.74	113.492	1024	224	5.18
43	tinynet_b	8976.69	114.061	1024	188	3.73
44	swsl_resnet18	8971.65	114.125	1024	224	11.69
45	tf_mobilenetv3_large_100	8954.66	114.343	1024	224	5.48
46	gluon_resnet18_v1b	8949.74	114.406	1024	224	11.69
47	ssl_resnet18	8947.2	114.439	1024	224	11.69
48	resnet18	8927.25	114.693	1024	224	11.69
49	hardcorenas_c	8864.36	115.506	1024	224	5.52
50	mobilenetv2_075	8764.66	116.82	1024	224	2.64
51	mnasnet_100	8646.99	118.411	1024	224	4.38
52	mnasnet_b1	8646.34	118.421	1024	224	4.38
53	semnasnet_075	8603.57	119.009	1024	224	2.91
54	levit_256	8528.42	120.058	1024	224	18.89
55	regnety_004	8497.03	120.501	1024	224	4.34
56	seresnet18	8461.0	121.015	1024	224	11.78
57	hardcorenas_d	8306.25	123.269	1024	224	7.5
58	legacy_seresnet18	8213.74	124.658	1024	224	11.78
59	regnetx_006	8055.06	127.114	1024	224	6.2
60	mobilenetv2_100	7900.5	129.6	1024	224	3.5
61	spnasnet_100	7827.4	130.811	1024	224	4.42
62	semnasnet_100	7701.96	132.941	1024	224	3.89
63	mnasnet_a1	7678.8	133.342	1024	224	3.89
64	resnet18d	7478.23	136.919	1024	224	11.71
65	levit_256d	7357.48	139.166	1024	224	26.21
66	ghostnet_130	7270.82	140.824	1024	224	7.36
67	regnety_006	7263.32	140.971	1024	224	6.06
68	hardcorenas_f	7222.67	141.764	1024	224	8.2
69	hardcorenas_e	7174.56	142.715	1024	224	8.07
70	efficientnet_lite0	7057.13	145.09	1024	224	4.65
71	ese_vovnet19b_slim	6975.46	146.789	1024	224	3.17
72	tinynet_a	6918.13	148.004	1024	192	6.19
73	fbnetc_100	6847.55	149.531	1024	224	5.57
74	tf_efficientnetv2_b0	6842.85	149.633	1024	224	7.14
75	xcit_nano_12_p16_224_dist	6769.74	151.25	1024	224	3.05
76	xcit_nano_12_p16_224	6760.61	151.454	1024	224	3.05
77	regnetx_008	6358.56	161.031	1024	224	7.26
78	deit_tiny_patch16_224	6350.86	161.227	1024	224	5.72
79	vit_tiny_patch16_224	6346.8	161.33	1024	224	5.72
80	tf_efficientnet_lite0	6324.64	161.895	1024	224	4.65
81	deit_tiny_distilled_patch16_224	6241.01	164.064	1024	224	5.91
82	efficientnet_b0	6183.5	165.59	1024	224	5.29
83	efficientnet_b1_pruned	6044.57	169.396	1024	240	6.33
84	rexnet_100	6031.43	169.765	1024	224	4.8
85	mnasnet_140	6024.95	169.948	1024	224	7.12
86	rexnetr_100	5992.24	170.876	1024	224	4.88
87	dla46_c	5989.01	170.968	1024	224	1.3
88	pit_ti_distilled_224	5978.67	171.264	1024	224	5.1
89	mobilenetv2_110d	5966.33	171.618	1024	224	4.52
90	pit_ti_224	5950.27	172.082	1024	224	4.85
91	regnety_008	5940.31	172.37	1024	224	6.26
92	resnetblur18	5929.76	172.677	1024	224	11.69
93	tf_efficientnet_b0	5620.98	182.161	1024	224	5.29
94	tf_efficientnet_b0_ns	5610.83	182.491	1024	224	5.29
95	tf_efficientnet_b0_ap	5603.36	182.734	1024	224	5.29
96	skresnet18	5578.53	183.549	1024	224	11.96
97	regnetz_005	5482.6	186.761	1024	224	7.12
98	semnasnet_140	5325.69	192.263	1024	224	6.11
99	mobilenetv2_140	5271.81	194.229	1024	224	6.11
100	resnet34	5239.3	195.434	1024	224	21.8
101	tv_resnet34	5236.24	195.548	1024	224	21.8
102	gluon_resnet34_v1b	5233.7	195.644	1024	224	21.8
103	ese_vovnet19b_dw	5190.19	197.284	1024	224	6.54
104	levit_384	5177.17	197.779	1024	224	39.13
105	mobilevit_xxs	5154.01	198.668	1024	256	1.27
106	visformer_tiny	5148.77	198.871	1024	224	10.32
107	hrnet_w18_small	5137.51	199.307	1024	224	13.19
108	nf_regnet_b0	5134.01	199.442	1024	256	8.76
109	seresnet34	4940.74	207.245	1024	224	21.96
110	mixnet_s	4921.18	208.067	1024	224	4.13
111	gernet_m	4881.9	209.742	1024	224	21.14
112	efficientnet_lite1	4817.11	212.565	1024	240	5.42
113	legacy_seresnet34	4790.34	213.752	1024	224	21.96
114	selecsls42	4787.26	213.889	1024	224	30.35
115	selecsls42b	4772.45	214.553	1024	224	32.46
116	dla46x_c	4717.05	217.071	1024	224	1.07
117	resnet34d	4707.81	217.499	1024	224	21.82
118	vit_base_patch32_224	4653.29	220.048	1024	224	88.22
119	vit_base_patch32_224_sam	4636.98	220.822	1024	224	88.22
120	pit_xs_224	4628.58	221.222	1024	224	10.62
121	tf_mixnet_s	4615.88	221.831	1024	224	4.13
122	fbnetv3_b	4595.16	222.83	1024	256	8.6
123	rexnetr_130	4587.31	223.212	1024	224	7.61
124	pit_xs_distilled_224	4586.36	223.258	1024	224	11.0
125	resmlp_12_distilled_224	4524.79	226.297	1024	224	15.35
126	resmlp_12_224	4522.51	226.411	1024	224	15.35
127	tf_efficientnetv2_b1	4515.62	226.756	1024	240	8.14
128	dla60x_c	4459.55	229.607	1024	224	1.32
129	tf_efficientnet_lite1	4427.03	231.295	1024	240	5.42
130	mixer_b32_224	4423.78	231.465	1024	224	60.29
131	rexnet_130	4423.43	231.482	1024	224	7.56
132	xcit_tiny_12_p16_224_dist	4363.62	234.654	1024	224	6.72
133	xcit_tiny_12_p16_224	4352.75	235.24	1024	224	6.72
134	resnet26	4300.48	238.1	1024	224	16.0
135	mobilenetv2_120d	4276.4	239.441	1024	224	5.83
136	efficientnet_es_pruned	4244.8	241.225	1024	224	5.44
137	efficientnet_es	4243.52	241.298	1024	224	5.44
138	repvgg_b0	4216.88	242.821	1024	224	15.82
139	selecsls60	4146.99	246.913	1024	224	30.67
140	selecsls60b	4134.81	247.64	1024	224	32.77
141	tf_efficientnet_es	4097.34	249.906	1024	224	5.44
142	fbnetv3_d	4060.14	252.196	1024	256	10.31
143	efficientnet_b2_pruned	4051.65	252.724	1024	260	8.31
144	efficientnet_b0_g16_evos	3982.5	257.113	1024	224	8.11
145	rexnetr_150	3947.19	259.414	1024	224	9.78
146	crossvit_tiny_240	3922.12	261.07	1024	240	7.01
147	mixer_s16_224	3902.13	262.409	1024	224	18.53
148	resnet26d	3896.6	262.781	1024	224	16.01
149	dla34	3859.49	265.307	1024	224	15.74
150	ecaresnet50d_pruned	3854.93	265.621	1024	224	19.94
151	rexnet_150	3827.99	267.492	1024	224	9.73
152	vit_small_patch32_384	3806.52	269.0	1024	384	22.92
153	nf_resnet26	3804.26	269.16	1024	224	16.0
154	gmixer_12_224	3797.94	269.608	1024	224	12.7
155	efficientnet_lite2	3793.99	269.889	1024	260	6.09
156	gmlp_ti16_224	3724.27	274.941	1024	224	5.87
157	crossvit_9_240	3711.74	275.869	1024	240	8.55
158	regnetx_016	3640.75	281.247	1024	224	9.19
159	efficientnet_cc_b0_4e	3606.59	283.912	1024	224	13.31
160	efficientnet_cc_b0_8e	3600.63	284.383	1024	224	24.01
161	crossvit_9_dagger_240	3560.19	287.614	1024	240	8.78
162	tf_efficientnet_b1_ap	3560.01	287.626	1024	240	7.79
163	tf_efficientnet_b1	3559.25	287.687	1024	240	7.79
164	tf_efficientnet_b1_ns	3553.74	288.134	1024	240	7.79
165	tf_efficientnet_lite2	3505.87	292.07	1024	260	6.09
166	efficientnet_b1	3481.01	294.155	1024	256	7.79
167	poolformer_s12	3480.88	294.166	1024	224	11.92
168	vit_tiny_r_s16_p8_384	3451.73	148.319	512	384	6.36
169	tf_efficientnetv2_b2	3443.76	297.337	1024	260	10.1
170	tf_efficientnet_cc_b0_8e	3407.59	300.493	1024	224	24.01
171	tf_efficientnet_cc_b0_4e	3402.61	300.934	1024	224	13.31
172	mixnet_m	3369.57	303.884	1024	224	5.01
173	regnety_016	3343.57	306.248	1024	224	11.2
174	nf_seresnet26	3326.57	307.813	1024	224	17.4
175	nf_ecaresnet26	3308.22	309.519	1024	224	16.0
176	repvgg_a2	3284.74	311.731	1024	224	28.21
177	gernet_l	3260.13	314.086	1024	256	31.08
178	tf_mixnet_m	3258.23	314.269	1024	224	5.01
179	resnest14d	3225.43	317.465	1024	224	10.61
180	efficientnet_b3_pruned	3214.49	318.545	1024	300	9.86
181	convnext_nano_hnf	3199.89	319.999	1024	224	15.59
182	skresnet34	3189.47	321.044	1024	224	22.28
183	convit_tiny	3117.16	328.49	1024	224	5.71
184	resnext26ts	3098.65	330.453	1024	256	10.3
185	legacy_seresnext26_32x4d	3086.27	331.78	1024	224	16.79
186	nf_regnet_b1	3049.58	335.771	1024	288	10.22
187	resnet26t	3040.5	336.774	1024	256	16.01
188	seresnext26ts	3026.32	338.35	1024	256	10.39
189	eca_resnext26ts	3023.05	338.719	1024	256	10.3
190	gcresnext26ts	2976.22	344.049	1024	256	10.48
191	ecaresnet101d_pruned	2954.94	346.526	1024	224	24.88
192	nf_regnet_b2	2933.65	349.041	1024	272	14.31
193	mobilevit_xs	2913.13	175.744	512	256	2.32
194	seresnext26tn_32x4d	2898.81	353.236	1024	224	16.81
195	seresnext26t_32x4d	2897.48	353.398	1024	224	16.81
196	ecaresnext26t_32x4d	2893.22	353.918	1024	224	15.41
197	ecaresnext50t_32x4d	2891.83	354.088	1024	224	15.41
198	seresnext26d_32x4d	2884.91	354.937	1024	224	16.81
199	ecaresnetlight	2878.45	355.733	1024	224	30.16
200	pit_s_224	2872.59	356.46	1024	224	23.46
201	deit_small_patch16_224	2853.43	358.855	1024	224	22.05
202	pit_s_distilled_224	2851.86	359.052	1024	224	24.04
203	vit_small_patch16_224	2845.41	359.865	1024	224	22.05
204	tf_efficientnet_b2_ap	2814.51	363.814	1024	260	9.11
205	tf_efficientnet_b2_ns	2814.31	363.839	1024	260	9.11
206	coat_lite_tiny	2814.08	363.872	1024	224	5.72
207	tf_efficientnet_b2	2813.96	363.886	1024	260	9.11
208	rexnetr_200	2808.62	182.283	512	224	16.52
209	deit_small_distilled_patch16_224	2801.73	365.478	1024	224	22.44
210	tresnet_m	2787.92	367.287	1024	224	31.39
211	resnetv2_50	2780.22	368.303	1024	224	25.55
212	eca_botnext26ts_256	2766.45	370.137	1024	256	10.59
213	rexnet_200	2763.52	185.259	512	224	16.37
214	vit_base2_patch32_256	2752.1	372.066	1024	256	119.46
215	botnet26t_256	2750.58	372.273	1024	256	12.49
216	halonet26t	2727.12	375.475	1024	256	12.48
217	eca_halonext26ts	2721.42	376.262	1024	256	10.76
218	swsl_resnet50	2693.51	380.159	1024	224	25.56
219	tv_resnet50	2687.71	380.98	1024	224	25.56
220	efficientnet_b0_gn	2686.21	381.194	1024	224	5.29
221	ssl_resnet50	2684.8	381.394	1024	224	25.56
222	gluon_resnet50_v1b	2682.34	381.744	1024	224	25.56
223	resnet50	2681.21	381.904	1024	224	25.56
224	vit_small_resnet26d_224	2675.44	382.728	1024	224	63.61
225	efficientnet_b2a	2654.03	385.816	1024	288	9.11
226	efficientnet_b2	2649.9	386.418	1024	288	9.11
227	coat_lite_mini	2646.6	386.899	1024	224	11.01
228	hrnet_w18_small_v2	2638.47	388.089	1024	224	15.6
229	resnetv2_50t	2621.75	390.565	1024	224	25.57
230	vovnet39a	2620.98	390.68	1024	224	22.6
231	resnetv2_50d	2613.09	391.86	1024	224	25.57
232	bat_resnext26ts	2594.52	394.665	1024	256	10.73
233	resnet32ts	2591.72	395.092	1024	256	17.96
234	efficientnet_em	2587.13	395.792	1024	240	6.9
235	cspresnet50	2561.78	399.709	1024	256	21.62
236	mixnet_l	2560.63	199.939	512	224	7.33
237	resnet33ts	2550.89	401.417	1024	256	19.68
238	dpn68b	2548.03	401.866	1024	224	12.61
239	gluon_resnet50_v1c	2543.04	402.654	1024	224	25.58
240	ese_vovnet39b	2535.01	403.931	1024	224	24.57
241	eca_vovnet39b	2533.56	404.162	1024	224	22.6
242	cspresnext50	2530.86	404.592	1024	224	20.57
243	legacy_seresnet50	2527.3	405.162	1024	224	28.09
244	vgg11_bn	2524.72	202.784	512	224	132.87
245	tf_efficientnet_em	2523.81	405.723	1024	240	6.9
246	resnet50t	2521.66	406.069	1024	224	25.57
247	resnet50d	2517.37	406.76	1024	224	25.58
248	gluon_resnet50_v1d	2514.4	407.243	1024	224	25.58
249	dpn68	2513.01	407.467	1024	224	12.61
250	selecsls84	2490.46	411.155	1024	224	50.95
251	seresnet33ts	2489.53	411.308	1024	256	19.78
252	eca_resnet33ts	2483.09	412.378	1024	256	19.68
253	lambda_resnet26t	2479.99	412.893	1024	256	10.96
254	tf_mixnet_l	2478.99	206.524	512	224	7.33
255	twins_svt_small	2475.31	413.674	1024	224	24.06
256	gcresnet33ts	2439.7	419.711	1024	256	19.88
257	cspresnet50w	2418.46	423.398	1024	256	28.12
258	seresnet50	2407.37	425.348	1024	224	28.09
259	cspresnet50d	2400.89	426.492	1024	256	21.64
260	dla60	2376.63	430.848	1024	224	22.04
261	densenet121	2346.76	436.333	1024	224	7.98
262	resnest26d	2346.08	436.46	1024	224	17.07
263	tv_densenet121	2345.79	436.514	1024	224	7.98
264	xcit_tiny_24_p16_224_dist	2334.54	438.616	1024	224	12.12
265	xcit_nano_12_p16_384_dist	2332.68	438.968	1024	384	3.05
266	xcit_tiny_24_p16_224	2328.43	439.766	1024	224	12.12
267	haloregnetz_b	2320.38	441.294	1024	224	11.68
268	resmlp_24_224	2308.85	443.498	1024	224	30.02
269	resmlp_24_distilled_224	2308.13	443.636	1024	224	30.02
270	resnetaa50d	2295.34	446.109	1024	224	25.58
271	seresnet50t	2282.97	448.526	1024	224	28.1
272	efficientnet_cc_b1_8e	2282.2	448.676	1024	240	39.72
273	convnext_tiny	2276.32	449.828	1024	224	28.59
274	res2net50_48w_2s	2265.43	451.999	1024	224	25.29
275	resnetblur50	2265.02	452.08	1024	224	25.56
276	efficientnet_lite3	2261.44	226.393	512	300	8.2
277	ecaresnet50d	2260.92	452.9	1024	224	25.58
278	efficientnet_b0_g8_gn	2259.05	453.276	1024	224	6.56
279	densenet121d	2243.46	456.425	1024	224	8.0
280	resnetrs50	2241.6	456.804	1024	224	35.69
281	mobilevit_s	2240.37	228.522	512	256	5.58
282	regnetx_032	2201.52	465.118	1024	224	15.3
283	visformer_small	2194.82	466.539	1024	224	40.22
284	gluon_resnet50_v1s	2193.42	466.838	1024	224	25.68
285	tf_efficientnet_cc_b1_8e	2188.26	467.941	1024	240	39.72
286	vit_base_resnet26d_224	2188.18	467.954	1024	224	101.4
287	resnetblur50d	2150.42	476.173	1024	224	25.58
288	gluon_inception_v3	2150.17	476.225	1024	299	23.83
289	adv_inception_v3	2148.48	476.602	1024	299	23.83
290	vovnet57a	2148.25	476.651	1024	224	36.64
291	tf_inception_v3	2147.17	476.894	1024	299	23.83
292	inception_v3	2146.78	476.978	1024	299	23.83
293	densenetblur121d	2133.31	479.992	1024	224	8.0
294	cspresnext50_iabn	2129.31	480.895	1024	256	20.57
295	semobilevit_s	2105.83	243.122	512	256	5.74
296	seresnetaa50d	2088.02	490.403	1024	224	28.11
297	cspdarknet53_iabn	2087.26	490.582	1024	256	27.64
298	swsl_resnext50_32x4d	2080.34	492.214	1024	224	25.03
299	convnext_tiny_hnf	2075.56	493.349	1024	224	28.59
300	ese_vovnet57b	2074.63	493.57	1024	224	38.61
301	tf_efficientnet_lite3	2074.49	246.795	512	300	8.2
302	resnext50_32x4d	2073.97	493.725	1024	224	25.03
303	ssl_resnext50_32x4d	2073.23	493.902	1024	224	25.03
304	gluon_resnext50_32x4d	2072.3	494.125	1024	224	25.03
305	tv_resnext50_32x4d	2055.26	498.221	1024	224	25.03
306	res2net50_26w_4s	2037.79	502.491	1024	224	25.7
307	twins_pcpvt_small	2036.4	502.835	1024	224	24.11
308	xcit_small_12_p16_224_dist	2021.26	506.599	1024	224	26.25
309	tf_efficientnetv2_b3	2020.91	506.688	1024	300	14.36
310	xcit_small_12_p16_224	2020.4	506.814	1024	224	26.25
311	nf_seresnet50	2015.9	507.948	1024	224	28.09
312	skresnet50	2014.26	508.362	1024	224	25.8
313	nf_ecaresnet50	2005.54	510.572	1024	224	25.56
314	regnetx_040	2003.23	511.16	1024	224	22.12
315	efficientnetv2_rw_t	1999.8	512.038	1024	288	13.65
316	sehalonet33ts	1991.52	257.078	512	256	13.69
317	fbnetv3_g	1991.44	514.187	1024	288	16.62
318	dla60x	1986.19	515.547	1024	224	17.35
319	gcresnet50t	1982.14	516.599	1024	256	25.9
320	resnext50d_32x4d	1976.72	518.018	1024	224	25.05
321	lambda_resnet26rpt_256	1950.98	262.42	512	256	10.99
322	gmixer_24_224	1937.61	528.474	1024	224	24.72
323	gc_efficientnetv2_rw_t	1928.42	530.993	1024	288	13.68
324	res2net50_14w_8s	1920.35	533.22	1024	224	25.06
325	skresnet50d	1919.46	533.468	1024	224	25.82
326	densenet169	1916.46	534.305	1024	224	14.15
327	dla60_res2net	1907.38	536.848	1024	224	20.85
328	gcresnext50ts	1902.33	538.276	1024	256	15.67
329	seresnext50_32x4d	1902.13	538.331	1024	224	27.56
330	gluon_seresnext50_32x4d	1901.68	538.457	1024	224	27.56
331	res2next50	1896.89	539.818	1024	224	24.67
332	legacy_seresnext50_32x4d	1896.31	539.984	1024	224	27.56
333	repvgg_b1g4	1884.44	543.384	1024	224	39.97
334	resnest50d_1s4x24d	1879.81	544.722	1024	224	25.68
335	crossvit_small_240	1855.05	551.992	1024	240	26.86
336	nf_regnet_b3	1852.1	552.873	1024	320	18.59
337	darknet53	1847.62	277.102	512	256	41.61
338	mixnet_xl	1839.34	278.346	512	224	11.9
339	dla60_res2next	1829.2	559.793	1024	224	17.03
340	swin_tiny_patch4_window7_224	1820.74	562.394	1024	224	28.29
341	cspdarknet53	1804.24	283.762	512	256	27.64
342	poolformer_s24	1803.36	567.817	1024	224	21.39
343	vit_small_r26_s32_224	1799.77	568.949	1024	224	36.43
344	xcit_nano_12_p8_224_dist	1796.05	570.128	1024	224	3.05
345	xcit_nano_12_p8_224	1795.49	570.304	1024	224	3.05
346	regnetz_b16	1791.93	571.438	1024	288	9.72
347	ecaresnet26t	1786.82	573.073	1024	320	16.01
348	convnext_tiny_hnfd	1744.82	586.868	1024	224	28.63
349	gmlp_s16_224	1741.6	587.951	1024	224	19.42
350	sebotnet33ts_256	1718.54	223.433	384	256	13.7
351	crossvit_15_240	1711.44	598.314	1024	240	27.53
352	resnetv2_101	1693.03	604.82	1024	224	44.54
353	vit_base_resnet50d_224	1670.98	612.798	1024	224	110.97
354	swin_s3_tiny_224	1660.14	616.801	1024	224	28.33
355	repvgg_b1	1657.85	617.654	1024	224	57.42
356	tv_resnet101	1656.03	618.332	1024	224	44.55
357	gluon_resnet101_v1b	1653.8	619.167	1024	224	44.55
358	resnet101	1652.45	619.673	1024	224	44.55
359	tf_efficientnet_b3_ap	1649.82	310.323	512	300	12.23
360	tf_efficientnet_b3	1649.61	310.363	512	300	12.23
361	tf_efficientnet_b3_ns	1649.37	310.407	512	300	12.23
362	crossvit_15_dagger_240	1648.34	621.218	1024	240	28.21
363	lambda_resnet50ts	1639.74	624.475	1024	256	21.54
364	resnetv2_101d	1628.19	628.906	1024	224	44.56
365	efficientnet_b3	1614.3	317.152	512	320	12.23
366	efficientnet_b3a	1613.57	317.296	512	320	12.23
367	gluon_resnet101_v1c	1597.11	641.145	1024	224	44.57
368	resnest50d	1586.43	645.46	1024	224	27.48
369	gluon_resnet101_v1d	1584.97	646.054	1024	224	44.57
370	wide_resnet50_2	1583.06	646.835	1024	224	68.88
371	cait_xxs24_224	1580.68	647.808	1024	224	11.96
372	dla102	1573.96	650.576	1024	224	33.27
373	resnetv2_50x1_bit_distilled	1561.81	655.635	1024	224	25.55
374	res2net50_26w_6s	1556.3	657.955	1024	224	37.05
375	vit_large_patch32_224	1551.79	659.869	1024	224	306.54
376	resmlp_36_224	1549.07	661.03	1024	224	44.69
377	regnetx_080	1548.92	661.091	1024	224	39.57
378	resmlp_36_distilled_224	1548.49	661.277	1024	224	44.69
379	halonet50ts	1542.39	663.891	1024	256	22.73
380	legacy_seresnet101	1528.82	669.783	1024	224	49.33
381	ese_vovnet39b_evos	1523.51	672.121	1024	224	24.58
382	coat_lite_small	1509.49	678.361	1024	224	19.84
383	vgg13_bn	1504.09	340.392	512	224	133.05
384	xcit_tiny_12_p16_384_dist	1501.95	681.763	1024	384	6.72
385	resnetaa101d	1496.92	684.059	1024	224	44.57
386	swin_v2_cr_tiny_224	1495.36	684.765	1024	224	28.33
387	densenet201	1488.38	687.985	1024	224	20.01
388	seresnet101	1484.39	689.83	1024	224	49.33
389	vit_tiny_patch16_384	1479.06	692.319	1024	384	5.79
390	lamhalobotnet50ts_256	1474.4	694.504	1024	256	22.57
391	swin_v2_cr_tiny_ns_224	1471.62	695.817	1024	224	28.33
392	vit_base_patch32_384	1470.27	696.459	1024	384	88.3
393	vit_base_r26_s32_224	1467.48	697.779	1024	224	101.38
394	gluon_resnet101_v1s	1452.66	704.901	1024	224	44.67
395	regnetx_064	1450.48	352.975	512	224	26.21
396	mixer_b16_224	1448.87	706.746	1024	224	59.88
397	nf_resnet101	1448.19	707.076	1024	224	44.55
398	mixer_b16_224_miil	1446.14	708.08	1024	224	59.88
399	resnetv2_50d_frn	1444.18	709.041	1024	224	25.59
400	resnetblur101d	1433.31	714.414	1024	224	44.57
401	nf_resnet50	1425.83	718.163	1024	288	25.56
402	mixer_l32_224	1425.39	718.388	1024	224	206.94
403	ecaresnet101d	1423.43	719.375	1024	224	44.57
404	hrnet_w18	1416.64	722.817	1024	224	21.3
405	convnext_small	1412.23	725.081	1024	224	50.22
406	tresnet_l	1401.27	730.75	1024	224	55.99
407	twins_pcpvt_base	1398.04	732.441	1024	224	43.83
408	regnety_032	1384.84	739.421	1024	288	19.44
409	nest_tiny	1381.77	370.526	512	224	17.06
410	resnet50_gn	1377.54	743.338	1024	224	25.56
411	resnet51q	1366.14	749.545	1024	288	35.7
412	resnetv2_50d_evob	1365.49	749.897	1024	224	25.59
413	jx_nest_tiny	1357.18	377.241	512	224	17.06
414	botnet50ts_256	1354.82	377.899	512	256	22.74
415	xception	1347.6	379.923	512	299	22.86
416	dla102x	1333.01	768.169	1024	224	26.31
417	convit_small	1329.45	770.231	1024	224	27.78
418	halo2botnet50ts_256	1327.73	385.607	512	256	22.64
419	skresnext50_32x4d	1314.86	778.776	1024	224	27.48
420	swsl_resnext101_32x4d	1313.2	779.762	1024	224	44.18
421	ssl_resnext101_32x4d	1309.86	781.751	1024	224	44.18
422	gluon_resnext101_32x4d	1309.44	781.999	1024	224	44.18
423	resnext101_32x4d	1308.3	782.684	1024	224	44.18
424	repvgg_b2g4	1287.88	795.093	1024	224	61.76
425	res2net50_26w_8s	1277.42	801.601	1024	224	48.4
426	res2net101_26w_4s	1275.83	802.597	1024	224	45.21
427	resnest50d_4s2x40d	1267.83	807.666	1024	224	30.42
428	nf_seresnet101	1246.67	821.372	1024	224	49.33
429	twins_svt_base	1242.25	824.296	1024	224	56.07
430	nf_ecaresnet101	1240.12	825.715	1024	224	44.55
431	vgg16_bn	1239.17	413.169	512	224	138.37
432	resnet61q	1236.58	828.077	1024	288	36.85
433	eca_nfnet_l0	1234.82	829.257	1024	288	24.14
434	nfnet_l0	1234.39	829.546	1024	288	35.07
435	hrnet_w32	1225.86	835.318	1024	224	41.23
436	xception41p	1219.47	419.841	512	299	26.91
437	poolformer_s36	1217.85	840.81	1024	224	30.86
438	ese_vovnet99b_iabn	1214.4	843.2	1024	224	63.2
439	crossvit_18_240	1210.54	845.892	1024	240	43.27
440	regnetv_040	1210.02	423.122	512	288	20.64
441	regnety_040	1209.84	423.186	512	288	20.65
442	hrnet_w30	1208.97	846.988	1024	224	37.71
443	dpn92	1205.79	849.224	1024	224	37.67
444	gluon_seresnext101_32x4d	1198.19	854.61	1024	224	48.96
445	seresnext101_32x4d	1197.93	854.792	1024	224	48.96
446	legacy_seresnext101_32x4d	1196.55	855.783	1024	224	48.96
447	efficientnet_el	1181.26	433.424	512	300	10.59
448	efficientnet_el_pruned	1179.3	434.142	512	300	10.59
449	ese_vovnet99b	1178.02	869.24	1024	224	63.2
450	resnetv2_152	1172.64	873.226	1024	224	60.19
451	crossvit_18_dagger_240	1169.98	875.211	1024	240	44.27
452	tf_efficientnet_el	1156.16	442.832	512	300	10.59
453	tv_resnet152	1155.28	886.354	1024	224	60.19
454	resnet152	1153.46	887.752	1024	224	60.19
455	gluon_resnet152_v1b	1153.39	887.802	1024	224	60.19
456	xcit_tiny_12_p8_224_dist	1148.77	891.372	1024	224	6.71
457	xcit_tiny_12_p8_224	1148.55	891.542	1024	224	6.71
458	vit_small_resnet50d_s16_224	1140.9	897.523	1024	224	57.53
459	resnetv2_152d	1140.85	897.561	1024	224	60.2
460	mixnet_xxl	1136.05	338.002	384	224	23.96
461	ecaresnet50t	1133.49	903.391	1024	320	25.57
462	regnetz_c16	1132.12	452.237	512	320	13.46
463	repvgg_b2	1129.63	906.478	1024	224	89.02
464	gluon_resnet152_v1c	1126.87	908.694	1024	224	60.21
465	vit_base_patch16_224_miil	1124.8	910.37	1024	224	86.54
466	gluon_resnet152_v1d	1122.21	912.468	1024	224	60.21
467	volo_d1_224	1121.56	912.997	1024	224	26.63
468	swin_small_patch4_window7_224	1117.13	916.62	1024	224	49.61
469	regnety_040s_gn	1113.45	919.647	1024	224	20.65
470	inception_v4	1099.65	931.189	1024	299	42.68
471	vit_base_patch16_224_sam	1089.03	940.269	1024	224	86.57
472	xception41	1089.03	470.133	512	299	26.97
473	vit_base_patch16_224	1089.0	940.3	1024	224	86.57
474	deit_base_patch16_224	1088.05	941.117	1024	224	86.57
475	xcit_small_24_p16_224_dist	1079.16	948.867	1024	224	47.67
476	xcit_small_24_p16_224	1078.82	949.17	1024	224	47.67
477	densenet161	1076.84	950.914	1024	224	28.68
478	convmixer_1024_20_ks9_p14	1075.95	951.707	1024	224	24.38
479	nfnet_f0	1075.06	952.487	1024	256	71.49
480	deit_base_distilled_patch16_224	1073.74	953.659	1024	224	87.34
481	dla169	1071.22	955.906	1024	224	53.39
482	vgg19_bn	1060.19	482.919	512	224	143.68
483	cait_xxs36_224	1058.79	967.13	1024	224	17.3
484	tnt_s_patch16_224	1056.28	969.422	1024	224	23.76
485	legacy_seresnet152	1054.79	970.791	1024	224	66.82
486	gluon_resnet152_v1s	1052.41	972.991	1024	224	60.32
487	regnetx_120	1048.48	488.312	512	224	46.11
488	seresnet152	1033.07	991.203	1024	224	66.82
489	tresnet_xl	1032.49	991.76	1024	224	78.44
490	efficientnet_lite4	1029.33	373.047	384	380	13.01
491	beit_base_patch16_224	1003.86	1020.053	1024	224	86.53
492	regnety_120	1003.65	510.126	512	224	51.82
493	repvgg_b3g4	997.42	1026.637	1024	224	83.83
494	twins_pcpvt_large	995.78	1028.325	1024	224	60.99
495	convnext_base	984.44	1040.164	1024	224	88.59
496	convnext_base_in22ft1k	984.35	1040.256	1024	224	88.59
497	coat_tiny	976.27	1048.875	1024	224	5.5
498	tf_efficientnet_lite4	967.59	396.848	384	380	13.01
499	pit_b_224	954.91	536.164	512	224	73.76
500	dm_nfnet_f0	948.25	1079.874	1024	256	71.49
501	pit_b_distilled_224	947.46	540.381	512	224	74.79
502	vit_small_patch16_36x1_224	919.98	1113.057	1024	224	64.67
503	wide_resnet101_2	917.07	1116.581	1024	224	126.89
504	swin_v2_cr_small_224	915.96	1117.937	1024	224	49.7
505	dla102x2	910.31	562.434	512	224	41.28
506	resnetv2_50d_gn	909.47	1125.915	1024	288	25.57
507	efficientnetv2_s	905.47	1130.894	1024	384	21.46
508	vit_small_patch16_18x2_224	899.06	1138.948	1024	224	64.67
509	tf_efficientnetv2_s_in21ft1k	889.42	1151.294	1024	384	21.46
510	tf_efficientnetv2_s	889.32	1151.431	1024	384	21.46
511	xception65p	886.31	577.66	512	299	39.82
512	nest_small	881.75	580.652	512	224	38.35
513	twins_svt_large	880.33	1163.185	1024	224	99.27
514	repvgg_b3	878.37	1165.779	1024	224	123.09
515	resnetrs101	877.57	1166.842	1024	288	63.62
516	jx_nest_small	871.53	587.458	512	224	38.35
517	efficientnetv2_rw_s	866.51	1181.735	1024	384	23.94
518	dpn98	862.25	1187.578	1024	224	61.57
519	ens_adv_inception_resnet_v2	856.37	1195.737	1024	299	55.84
520	inception_resnet_v2	855.57	1196.844	1024	299	55.84
521	nf_regnet_b4	854.46	1198.403	1024	384	30.21
522	regnetz_b16_evos	853.4	599.942	512	288	9.74
523	regnetx_160	848.43	603.455	512	224	54.28
524	regnetz_d8	845.88	1210.552	1024	320	23.37
525	cait_s24_224	834.81	1226.608	1024	224	46.92
526	gluon_resnext101_64x4d	834.02	1227.777	1024	224	83.46
527	resnet200	828.19	1236.414	1024	224	64.67
528	regnetz_040	826.88	464.381	384	320	27.12
529	regnetz_040h	823.24	466.438	384	320	28.94
530	efficientnet_b4	820.41	468.046	384	384	19.34
531	swin_s3_small_224	817.53	626.263	512	224	49.74
532	hrnet_w40	816.49	1254.128	1024	224	57.56
533	poolformer_m36	815.39	1255.826	1024	224	56.17
534	swsl_resnext101_32x8d	805.27	1271.611	1024	224	88.79
535	regnety_064	803.23	637.411	512	288	30.58
536	ssl_resnext101_32x8d	802.86	1275.43	1024	224	88.79
537	xcit_tiny_24_p16_384_dist	802.73	1275.631	1024	384	12.12
538	ig_resnext101_32x8d	802.17	1276.521	1024	224	88.79
539	resnext101_32x8d	802.06	1276.704	1024	224	88.79
540	regnetv_064	800.43	639.64	512	288	30.58
541	resnetv2_50d_evos	798.97	640.813	512	288	25.59
542	gluon_xception65	797.15	642.277	512	299	39.92
543	resnet101d	796.13	1286.203	1024	320	44.57
544	xception65	795.21	643.84	512	299	39.92
545	resnest101e	791.92	646.513	512	256	48.28
546	swin_base_patch4_window7_224	791.65	1293.482	1024	224	87.77
547	gluon_seresnext101_64x4d	787.65	1300.055	1024	224	88.23
548	coat_mini	785.23	1304.064	1024	224	10.34
549	tf_efficientnet_b4_ap	782.92	490.459	384	380	19.34
550	tf_efficientnet_b4	782.13	490.953	384	380	19.34
551	tf_efficientnet_b4_ns	782.09	490.976	384	380	19.34
552	regnety_080	767.29	667.271	512	288	39.18
553	hrnet_w44	759.24	1348.7	1024	224	67.06
554	crossvit_base_240	756.03	677.208	512	240	105.03
555	xcit_medium_24_p16_224_dist	748.3	1368.42	1024	224	84.4
556	xcit_medium_24_p16_224	747.93	1369.089	1024	224	84.4
557	gmlp_b16_224	744.43	1375.538	1024	224	73.08
558	hrnet_w48	733.55	1395.939	1024	224	77.47
559	tresnet_m_448	727.54	1407.473	1024	448	31.39
560	vit_large_r50_s32_224	726.03	1410.402	1024	224	328.99
561	regnetz_d32	721.75	1418.755	1024	320	27.58
562	vit_small_patch16_384	684.33	748.167	512	384	22.2
563	tnt_b_patch16_224	677.0	1512.541	1024	224	65.41
564	xcit_small_12_p16_384_dist	675.76	1515.313	1024	384	26.25
565	convit_base	673.78	1519.763	1024	224	86.54
566	swin_s3_base_224	663.17	1544.087	1024	224	71.13
567	swin_v2_cr_base_224	651.94	1570.69	1024	224	87.88
568	densenet264d_iabn	647.21	1582.161	1024	224	72.74
569	efficientnet_b3_gn	646.96	395.683	256	320	11.73
570	dpn131	635.27	1611.889	1024	224	79.25
571	densenet264	628.46	1629.36	1024	224	72.69
572	nest_base	627.45	815.992	512	224	67.72
573	volo_d2_224	626.17	1635.329	1024	224	58.68
574	jx_nest_base	620.43	825.215	512	224	67.72
575	poolformer_m48	615.67	1663.217	1024	224	73.47
576	vit_small_r26_s32_384	611.26	628.196	384	384	36.47
577	xcit_nano_12_p8_384_dist	610.06	1678.498	1024	384	3.05
578	xcit_tiny_24_p8_224	603.0	1698.15	1024	224	12.11
579	xcit_tiny_24_p8_224_dist	602.22	1700.353	1024	224	12.11
580	xception71	600.16	853.086	512	299	42.34
581	hrnet_w64	599.02	1709.451	1024	224	128.06
582	vit_base_r50_s16_224	598.25	1711.642	1024	224	98.66
583	legacy_senet154	582.07	1759.212	1024	224	115.09
584	senet154	582.01	1759.392	1024	224	115.09
585	gluon_senet154	581.94	1759.609	1024	224	115.09
586	dpn107	578.97	1768.627	1024	224	86.92
587	eca_nfnet_l1	575.61	1778.965	1024	320	41.41
588	seresnet200d	562.84	1819.333	1024	256	71.86
589	resnet152d	561.29	1824.359	1024	320	60.21
590	ecaresnet200d	559.73	1829.437	1024	256	64.69
591	convnext_large_in22ft1k	546.71	936.5	512	224	197.77
592	convnext_large	546.09	937.561	512	224	197.77
593	regnetz_c16_evos	539.7	948.669	512	320	13.49
594	regnety_320	534.72	957.496	512	224	145.05
595	regnety_160	523.72	733.2	384	288	83.59
596	efficientnet_b3_g8_gn	520.23	492.079	256	320	14.25
597	xcit_small_12_p8_224	514.94	1988.547	1024	224	26.21
598	xcit_small_12_p8_224_dist	514.63	1989.761	1024	224	26.21
599	halonet_h1	507.89	504.03	256	256	8.1
600	resnext101_64x4d	505.79	1012.259	512	288	83.46
601	seresnet152d	503.07	2035.474	1024	320	66.84
602	resnetrs152	499.61	2049.599	1024	320	86.62
603	vit_large_patch32_384	494.68	2070.028	1024	384	306.63
604	regnetx_320	468.44	819.734	384	224	107.81
605	mixer_l16_224	464.51	2204.436	1024	224	208.2
606	seresnext101_32x8d	461.67	1109.006	512	288	93.57
607	swin_large_patch4_window7_224	454.97	1125.326	512	224	196.53
608	regnetz_e8	451.54	1133.877	512	320	57.7
609	efficientnetv2_m	442.19	2315.716	1024	416	54.14
610	seresnet269d	440.45	2324.895	1024	256	113.67
611	volo_d3_224	438.95	2332.847	1024	224	86.33
612	xcit_large_24_p16_224	432.87	2365.575	1024	224	189.1
613	xcit_large_24_p16_224_dist	432.7	2366.505	1024	224	189.1
614	efficientnet_b5	411.07	622.743	256	456	30.39
615	efficientnetv2_rw_m	406.88	1258.338	512	416	53.24
616	resnet200d	404.01	2534.588	1024	320	64.69
617	tf_efficientnet_b5	395.61	647.082	256	456	30.39
618	tf_efficientnet_b5_ap	395.52	647.242	256	456	30.39
619	tf_efficientnet_b5_ns	395.47	647.322	256	456	30.39
620	resnetv2_50x1_bitm	392.67	1303.884	512	448	25.55
621	xcit_tiny_12_p8_384_dist	390.32	2623.487	1024	384	6.71
622	swin_v2_cr_large_224	385.91	1326.718	512	224	196.68
623	swsl_resnext101_32x16d	375.78	1362.484	512	224	194.03
624	ig_resnext101_32x16d	373.86	1369.478	512	224	194.03
625	ssl_resnext101_32x16d	373.64	1370.28	512	224	194.03
626	regnetz_d8_evos	373.09	1372.306	512	320	23.46
627	swin_v2_cr_tiny_384	364.64	702.039	256	384	28.33
628	tresnet_l_448	361.5	2832.633	1024	448	55.99
629	convnext_xlarge_in22ft1k	360.86	1418.822	512	224	350.2
630	xcit_small_24_p16_384_dist	360.65	2839.301	1024	384	47.67
631	resnetrs200	358.31	2857.856	1024	320	93.21
632	nfnet_f1	357.09	2867.576	1024	320	132.63
633	vit_large_patch16_224	356.78	2870.107	1024	224	304.33
634	crossvit_15_dagger_408	354.9	721.306	256	408	28.5
635	vit_base_patch16_18x2_224	348.19	2940.87	1024	224	256.73
636	tf_efficientnetv2_m_in21ft1k	347.38	1473.892	512	480	54.14
637	tf_efficientnetv2_m	346.86	1476.074	512	480	54.14
638	dm_nfnet_f1	342.33	1495.606	512	320	132.63
639	convnext_base_384_in22ft1k	336.37	1141.59	384	384	88.59
640	beit_large_patch16_224	330.46	3098.668	1024	224	304.43
641	volo_d1_384	293.12	1746.724	512	384	26.78
642	convmixer_768_32	290.99	3518.992	1024	224	21.11
643	eca_nfnet_l2	282.42	1812.878	512	384	56.72
644	volo_d4_224	281.7	3635.003	1024	224	192.96
645	resnetv2_152x2_bit_teacher	280.73	1823.773	512	224	236.34
646	vit_base_patch16_384	280.43	1369.296	384	384	86.86
647	deit_base_patch16_384	280.4	1369.456	384	384	86.86
648	deit_base_distilled_patch16_384	276.56	1388.495	384	384	87.63
649	xcit_small_24_p8_224	269.73	3796.43	1024	224	47.63
650	tresnet_xl_448	269.71	1898.302	512	448	78.44
651	xcit_small_24_p8_224_dist	269.67	3797.157	1024	224	47.63
652	resnest200e	265.14	1931.055	512	320	70.2
653	cait_xxs24_384	264.07	3877.737	1024	384	12.03
654	vit_large_patch14_224	262.13	3906.369	1024	224	304.2
655	crossvit_18_dagger_408	260.17	983.968	256	408	44.61
656	xcit_medium_24_p16_384_dist	254.44	2012.271	512	384	84.4
657	nasnetalarge	254.21	1510.535	384	331	88.75
658	pnasnet5large	251.02	1529.719	384	331	86.06
659	resnetv2_101x1_bitm	246.55	2076.684	512	448	44.54
660	beit_base_patch16_384	241.2	1592.025	384	384	86.74
661	vit_large_r50_s32_384	240.58	1596.142	384	384	329.09
662	efficientnet_b6	239.36	534.745	128	528	43.04
663	ecaresnet269d	233.52	4385.094	1024	352	102.09
664	tf_efficientnet_b6_ns	231.37	553.209	128	528	43.04
665	tf_efficientnet_b6	231.23	553.545	128	528	43.04
666	tf_efficientnet_b6_ap	231.04	553.998	128	528	43.04
667	resnetrs270	227.52	4500.663	1024	352	129.86
668	swin_v2_cr_small_384	224.2	1141.845	256	384	49.7
669	swin_base_patch4_window12_384	211.77	906.647	192	384	87.9
670	resmlp_big_24_224	209.16	4895.869	1024	224	129.14
671	resmlp_big_24_distilled_224	208.94	4900.863	1024	224	129.14
672	resmlp_big_24_224_in22ft1k	208.92	4901.346	1024	224	129.14
673	xcit_tiny_24_p8_384_dist	204.37	5010.586	1024	384	12.11
674	nfnet_f2	200.76	5100.492	1024	352	193.78
675	tf_efficientnetv2_l	199.73	1922.595	384	480	118.52
676	efficientnetv2_l	198.4	2580.63	512	480	118.52
677	tf_efficientnetv2_l_in21ft1k	196.98	2599.257	512	480	118.52
678	dm_nfnet_f2	194.75	2628.942	512	352	193.78
679	xcit_medium_24_p8_224	189.81	2697.371	512	224	84.32
680	xcit_medium_24_p8_224_dist	189.81	2697.462	512	224	84.32
681	volo_d5_224	187.06	5474.175	1024	224	295.46
682	convnext_large_384_in22ft1k	186.8	1370.399	256	384	197.77
683	cait_xs24_384	184.72	2771.758	512	384	26.67
684	vit_base_patch8_224	183.25	1396.951	256	224	86.58
685	cait_xxs36_384	176.62	5797.903	1024	384	17.37
686	vit_base_r50_s16_384	174.09	2205.77	384	384	98.95
687	vit_base_resnet50_384	174.05	2206.21	384	384	98.95
688	xcit_small_12_p8_384_dist	173.11	2957.56	512	384	26.21
689	swin_v2_cr_huge_224	170.28	2255.094	384	224	657.83
690	convmixer_1536_20	167.4	6117.1	1024	224	51.63
691	volo_d2_384	164.47	2334.792	384	384	58.87
692	swin_v2_cr_base_384	160.01	1199.906	192	384	87.88
693	eca_nfnet_l3	159.42	3211.652	512	448	72.04
694	resnetrs350	151.88	3371.146	512	384	163.96
695	xcit_large_24_p16_384_dist	147.05	3481.712	512	384	189.1
696	ig_resnext101_32x32d	146.83	1743.474	256	224	468.53
697	cait_s24_384	142.26	3598.927	512	384	47.06
698	vit_huge_patch14_224	141.6	7231.567	1024	224	632.05
699	efficientnet_b7	139.66	687.357	96	600	66.35
700	tf_efficientnet_b7	135.86	706.608	96	600	66.35
701	tf_efficientnet_b7_ap	135.79	706.955	96	600	66.35
702	tf_efficientnet_b7_ns	135.74	707.2	96	600	66.35
703	efficientnetv2_xl	127.77	3005.388	384	512	208.12
704	tf_efficientnetv2_xl_in21ft1k	127.07	3021.991	384	512	208.12
705	swin_large_patch4_window12_384	125.28	1021.736	128	384	196.74
706	resnest269e	123.52	3108.719	384	416	110.93
707	convnext_xlarge_384_in22ft1k	123.3	1557.136	192	384	350.2
708	xcit_large_24_p8_224	110.05	4652.475	512	224	188.93
709	xcit_large_24_p8_224_dist	109.94	4656.907	512	224	188.93
710	nfnet_f3	109.46	4677.461	512	416	254.92
711	resnetrs420	108.78	4706.738	512	416	191.89
712	dm_nfnet_f3	98.93	5175.208	512	416	254.92
713	swin_v2_cr_large_384	98.1	1304.756	128	384	196.68
714	resnetv2_152x2_bit_teacher_384	97.22	2633.19	256	384	236.34
715	cait_s36_384	95.27	5374.225	512	384	68.37
716	vit_large_patch16_384	94.74	2702.22	256	384	304.72
717	resnetv2_50x3_bitm	94.62	1352.761	128	448	217.32
718	vit_giant_patch14_224	92.89	5511.692	512	224	1012.61
719	xcit_small_24_p8_384_dist	90.84	4227.257	384	384	47.63
720	ig_resnext101_32x48d	87.18	2202.253	192	224	828.41
721	efficientnet_b8	83.91	1144.078	96	672	87.41
722	beit_large_patch16_384	82.64	3097.749	256	384	305.0
723	tf_efficientnet_b8_ap	82.27	1166.925	96	672	87.41
724	tf_efficientnet_b8	82.25	1167.133	96	672	87.41
725	volo_d3_448	72.26	2657.14	192	448	86.63
726	resnetv2_152x2_bitm	71.6	2681.389	192	448	236.34
727	xcit_medium_24_p8_384_dist	64.15	3990.849	256	384	84.32
728	nfnet_f4	60.24	6374.659	384	512	316.07
729	dm_nfnet_f4	59.09	4332.344	256	512	316.07
730	resnetv2_101x3_bitm	58.2	2199.411	128	448	387.93
731	vit_gigantic_patch14_224	56.14	9120.818	512	224	1844.44
732	volo_d4_448	52.76	2425.859	128	448	193.41
733	swin_v2_cr_giant_224	49.04	2610.23	128	224	2598.76
734	tf_efficientnet_l2_ns_475	46.41	1378.993	64	475	480.31
735	nfnet_f5	44.14	5799.172	256	544	377.21
736	swin_v2_cr_huge_384	43.59	1468.203	64	384	657.94
737	dm_nfnet_f5	39.84	6426.216	256	544	377.21
738	xcit_large_24_p8_384_dist	36.78	5220.859	192	384	188.93
739	volo_d5_448	36.57	3500.029	128	448	295.91
740	nfnet_f6	34.59	7401.234	256	576	438.36
741	beit_large_patch16_512	33.3	2882.954	96	512	305.67
742	cait_m36_384	31.36	8162.98	256	384	271.22
743	dm_nfnet_f6	31.17	8214.193	256	576	438.36
744	nfnet_f7	26.91	9514.003	256	608	499.5
745	volo_d5_512	25.64	4991.614	128	512	296.09
746	resnetv2_152x4_bitm	18.58	3444.83	64	480	936.53
747	efficientnet_l2	16.55	1450.295	24	800	480.31
748	tf_efficientnet_l2_ns	16.36	1467.093	24	800	480.31
749	swin_v2_cr_giant_384	13.63	1760.856	24	384	2598.76
750	cait_m48_448	13.35	9584.614	128	448	356.46