Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Kato2026Sil-accuracy_distance")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	eva02_large_in22k	.950
2	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.907
3	vit_huge_clip336_laion	.905
4	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.884
5	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.875
6	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.858
7	convnext_xxlarge_clip	.843
8	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.839
9	dinov2_vitg14_reg_lc	.831
10	dinov2_vitg14_lc	.824
11	convnext_base_fb_in22k_ft_in1k	.815
12	dinov2_vitl14_reg_lc	.771
13	resnext101_32x32d_wsl	.770
14	convnext_large:fb_in22k_ft_in1k	.753
15	convnext_large_clip_laion2b_finelayers	.751
16	convnext_large_in22k_supervised	.737
17	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.726
18	dinov2_vitl14_lc	.726
19	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.725
20	convnext_xlarge:fb_in22k_ft_in1k	.711
21	dinov2_vitl14_lc_res336	.707
22	vit_large_patch14_clip_224:openai_ft_in1k	.707
23	vit_large_clip336_openai	.705
24	AdvProp_efficientnet-b6	.689
25	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.681
26	vit_large_patch14_clip_224:laion2b_ft_in1k	.679
27	resnext101_32x48d_wsl	.671
28	AdvProp_efficientnet-b4	.665
29	deit3_base_patch16_224_fb_in22k_ft_in1k	.640
30	vit_large_patch14_clip_336:laion2b_ft_in1k	.620
31	alexnet_training_seed_07	.618
32	AdvProp_efficientnet-b7	.608
33	resnext101_32x16d_wsl	.605
34	convnext_base:clip_laiona_augreg_ft_in1k_384	.587
35	deit3_base_patch16_224_fb_in1k	.587
36	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.578
37	ViT_L_32_imagenet1k	.571
38	resnext101_32x8d_wsl	.568
39	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.555
40	AT_efficientnet-b2	.541
41	AdvProp_efficientnet-b2	.541
42	AdvProp_efficientnet-b8	.539
43	convnext_base_fb_in1k	.536
44	focalnet_tiny_lrf_in1k	.524
45	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.520
46	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.517
47	vit_relpos_base_patch16_clsgap_224:sw_in1k	.497
48	convnext_tiny:in12k_ft_in1k	.479
49	convnext_large_imagenet_full_seed-0	.478
50	resnet50_robust_l2_eps3	.471
51	imagenet_l2_3_0	.471
52	resnet-50-robust	.471
53	voneresnet-50-robust	.469
54	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.466
55	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.463
56	convnext_base_imagenet_full_seed-0	.447
57	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.437
58	seresnext50_32x4d	.433
59	resnet50_robust_l2_eps1	.432
60	regnety_032	.426
61	convnext_tiny_imagenet_full_seed-0	.420
62	cv_18_dagger_408_pretrained	.415
63	vit_base_patch16_clip_224:openai_ft_in1k	.404
64	resnet_101_v2	.401
65	convnext_small_imagenet_full_seed-0	.395
66	convnext_base_fb_in1k_gram_aligned_dinov3	.390
67	antialias-resnet152	.380
68	deit_large_imagenet_full_seed-0	.364
69	effnetb1_272x240	.362
70	deit_base_imagenet_full_seed-0	.346
71	convnext_tiny_sup	.335
72	resnet_SIN_IN_FT_IN	.333
73	resnet50-SIN_IN_IN	.333
74	resnet50_st_wzc_2	.329
75	densenet-201	.328
76	deit_small_imagenet_full_seed-0	.326
77	blt_vs	.325
78	custom_model_cv_18_dagger_408	.324
79	cvt_cvt-21-384-in1k_4_LucyV4	.322
80	pnasnet_large_halfPrecision	.321
81	resnet101_imagenet_full	.311
82	resnet50_st_wzc_seed6_2_323	.308
83	resnet50_ewconplus_wzc	.306
84	resnet152_imagenet_full	.306
85	inception_v3	.305
86	resnet_50_v1	.303
87	resnet50_tutorial	.303
88	resnet50-sup	.303
89	resnet_101_v1	.301
90	mehrer2020_alexnet_training_seed_01_fov12	.300
91	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.300
92	cvt_cvt-13-224-in1k_4_LucyV4	.298
93	Res2Net50_26w_4s	.292
94	resnet50-SIN	.291
95	resnet50_hvs_wzc	.290
96	resnet50_st_wzc_seed3_2_323	.290
97	resnet50_ewconplus_wzc_seed5_2__323	.287
98	mehrer2020_alexnet_training_seed_01_fov16	.287
99	resnet_50_v1_spiking	.286
100	grcnn_109	.284
101	resnet50_ewconplus_wzc_seed6_2_323	.282
102	resnet50_ewconplus_wzc_seed2_2__323	.279
103	vonegrcnn_47e	.279
104	vonegrcnn_62e_nobn	.275
105	resnet_152_v2	.274
106	antialiased-r50	.272
107	nasnet_mobile	.269
108	resnet50_st_wzc_seed7_2_323	.268
109	efficientnet_b0	.266
110	resnet_50_v2	.265
111	cvt_cvt-21-224-in1k_4_LucyV4	.262
112	densenet-121	.262
113	resnet50-moclr8deg	.259
114	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.253
115	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.251
116	grcnn	.247
117	mehrer2020_alexnet_training_seed_04	.246
118	resnet50-SIN_IN	.245
119	voneresnet-50-non_stochastic	.242
120	alexnet_training_seed_09	.239
121	resnet50_barlowtwins_linhead	.239
122	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.237
123	voneresnet-50	.234
124	resnet34_imagenet_full	.232
125	AlexNet_SIN_fov12	.232
126	AlexNet_SIN	.231
127	mehrer2020_alexnet_training_seed_01	.229
128	resnet50_byol_linhead	.226
129	cvt_cvt-13-384-in1k_4_LucyV4	.226
130	efficientnet_b0_imagenet_full	.218
131	efficientnet_b1_imagenet_full	.208
132	ReAlnet10	.206
133	mehrer2020_alexnet_training_seed_02	.206
134	efficientnet_b2_imagenet_full	.203
135	ReAlnet08	.203
136	resnet50_imagenet_full	.203
137	mehrer2020_alexnet_training_seed_03	.202
138	shufflenet_v2_x1_0	.199
139	resnet50_simsiam_linhead	.198
140	resnet18_imagenet_full	.198
141	convnext_small_imagenet_100_seed-0	.197
142	mehrer2020_alexnet_training_seed_05	.193
143	resnet50-vitoimagevidnet8	.189
144	resnet50-VITO-8deg-cc	.189
145	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.188
146	ReAlnet09	.185
147	resnet_50_v1_spiking_l4a	.183
148	ReAlnet04	.181
149	ReAlnet07	.179
150	mobilenet_v2_1_4_224	.175
151	convnext_femto_ols:d1_in1k	.173
152	resnet50_vicreg_linhead	.171
153	resnet50_simclr_linhead_01norm	.168
154	ijepa_vith14_linhead	.160
155	vgg_16	.158
156	AlexNet_SIN_fov16	.150
157	eicircuit_resnet18_bn_20260919	.145
158	alexnet	.104
159	mehrer2020_alexnet_training_seed_01_fov4	.000
160	alexnet_training_seed_03	.000
161	mobilenet_v2_1_0_128
162	gabor_filter_entropy_4x4_v2_forcedCosine
163	gabor_filter_entropy_4x4_v2
164	dinov2_vitl14_reg_lc_featread
165	deepeisnn_ei_imagenet_resnet18
166	alexnet_training_seed_10
167	alexnet_training_seed_06
168	alexnet_training_seed_01
169	alexnet_training_seed_02
170	hmax
171	ReAlnet01_cornet
172	compact_resnet50_robust_V4
173	VOneCORnet-S
174	ReAlnet04_cornet
175	ReAlnet03_cornet
176	ReAlnet01_cornet_fov4

Benchmark bibtex

None

Ceiling

0.93.

Note that scores are relative to this ceiling.

Data: Kato2026Sil

Metric: accuracy_distance