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Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Marques2020_Ringach2002-max_dc")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet-18-LC_1st_conv_m	.998
2	resnet50_imagenet_1_seed-0	.997
3	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.996
4	convnext_large_clip_laion2b_finelayers	.995
5	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.995
6	convnext_large_in22k_supervised	.995
7	BiT-M-R50x3	.993
8	VOneCORnet-S	.993
9	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.992
10	resnet-101_v2-tf	.992
11	yudixie_resnet50_distance_rotation_0_240908	.993
12	convnext_large:fb_in22k_ft_in1k	.992
13	vit_base_patch14_reg4_dinov2-lvd142m	.992
14	resnet50_linf_4_robust	.992
15	dinov2_vitl14_lc	.992
16	resnet50_byol_linhead	.991
17	resnet34_imagenet_full	.990
18	resnet50_byol	.990
19	vit_base_patch14_dinov2-lvd142m	.991
20	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.990
21	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.990
22	resnet50_moco_v2	.990
23	yudixie_resnet50_object_class_0_240908	.989
24	briaai_rmbg_1_4	.989
25	resnet18_imagenet_full	.989
26	yudixie_resnet50_distance_translation_0_240908	.989
27	resnet-152_v2-tf	.989
28	antialiased-rnext101_32x8d	.988
29	vit_relpos_base_patch16_clsgap_224:sw_in1k	.987
30	resnet-18-LC_w_sh_10_iter_conv_init_m	.987
31	nasnet_mobile-tf	.988
32	texture_shape_alexnet_trained_on_SIN	.988
33	vision_transformer_vit_large_patch16_224	.988
34	nasnet_large-tf	.987
35	resnet-18-LC_d_w_sh_1x1_conv_init_m	.987
36	AT_efficientnet-b2	.987
37	voneresnet-50-robust	.987
38	mobilevit_small	.986
39	resnet-50-robust	.986
40	vgg_19	.986
41	resnet50-vitoimagevidnet8	.987
42	resnet50_robust_l2_eps1	.986
43	yudixie_resnet18_object_class_0_240719	.987
44	resnet-18-LC_w_sh_1_iter_conv_init_m	.986
45	resnet50_random_linf8_perturb	.986
46	resnet50_l2_3_robust	.986
47	AdvProp_efficientnet-b2	.985
48	vit_large_patch14_clip_224:openai_ft_in1k	.985
49	resnet50_random_l2_perturb	.985
50	yudixie_resnet50_distance_translation_rotation_0_240908	.985
51	yudixie_resnet50_translation_reg_0_240908	.984
52	yudixie_resnet50_random_0_240908	.983
53	voneresnet-50	.984
54	antialiased-r50	.983
55	resnet50-simclr-vissl	.982
56	resnet50_FractalDB	.984
57	alexnet_training_seed_01_fov16	.982
58	mehrer2020_alexnet_training_seed_03	.984
59	resnet50-moclr8deg	.982
60	cv_18_dagger_408_pretrained	.983
61	r3m_resnet34	.982
62	BiT-S-R50x3	.982
63	resnext101_32x48d_wsl	.981
64	alexnet_training_seed_01_fov12	.981
65	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.981
66	mehrer2020_alexnet_training_seed_01_fov12	.981
67	mehrer2020_alexnet_training_seed_05	.981
68	densenet-121-keras	.980
69	resnet101_ecoset_full	.980
70	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.981
71	xception	.980
72	omnivore_swinT	.980
73	resnet152_imagenet_full	.979
74	grcnn_v2_text_noise	.979
75	SWSL_resnet50	.979
76	alexnet_training_seed_09	.979
77	yudixie_resnet50_translation_rotation_0_240908	.979
78	yudixie_resnet18_distance_rotation_0_240719	.978
79	ijepa_vith14_linhead	.978
80	resnet50_primary_visual_cortex	.978
81	mehrer2020_alexnet_training_seed_06	.977
82	resnet-50_untrained	.978
83	alexnet_training_seed_04	.977
84	mehrer2020_alexnet_training_seed_02	.976
85	resnet50-vicregl0p9	.977
86	yudixie_resnet18_rotation_reg_0_240719	.976
87	BiT-S-R50x1	.976
88	resnet-18_untrained	.977
89	resnet50-SIN_IN_IN	.976
90	yudixie_resnet50_distance_reg_0_240908	.976
91	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.976
92	resnet50_simclr	.976
93	vonegrcnn_62e_nobn	.976
94	barlow-twins-resnet50	.976
95	effnetb1_272x240	.976
96	grcnn_robust_v1	.975
97	ReAlnet01_cornet_fov4	.975
98	imagenet_l2_3_0	.975
99	convnext_large_imagenet_full_seed-0	.974
100	resnet-50_v1-tf	.975
101	densenet-121	.974
102	inception_v4-tf	.974
103	antialias-resnet152	.975
104	resnet34_ecoset_full	.974
105	vgg-16-keras	.973
106	resnet50_linf_8_robust	.974
107	yudixie_resnet18_translation_reg_0_240719	.974
108	mehrer2020_alexnet_training_seed_07	.974
109	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.974
110	alexnet_linf_8_robust	.973
111	0.5x_resnet-18_LC_w_sh_100_iter	.973
112	convnext_base:clip_laiona_augreg_ft_in1k_384	.973
113	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.972
114	resnet-18_test_m	.973
115	BiT-S-R152x2	.972
116	yudixie_wbh_object_class_scaling_0415_run_3	.973
117	pnasnet_large-tf	.973
118	pnasnet_large_halfPrecision	.972
119	yudixie_resnet18_translation_rotation_0_240719	.972
120	resnet50-vicreg	.973
121	custom_model_cv_18_dagger_408	.972
122	resnet-50x2_untrained	.971
123	resnet-18-LC_w_sh_10_iter_m	.971
124	cvt_cvt-21-224-in1k_4_LucyV4	.972
125	mehrer2020_alexnet_training_seed_08	.970
126	SWSL_resnext101_32x8d	.971
127	resnet50	.971
128	vit_large_patch14_clip_336:laion2b_ft_in1k	.970
129	mehrer2020_alexnet_training_seed_09	.972
130	resnet18_ecoset_full	.970
131	vit_huge_clip336_laion	.970
132	resnet50_st_wzc_seed6_2_323	.970
133	vgg_16	.971
134	mehrer2020_alexnet_training_seed_04	.970
135	resnet-18-LC_conv_init_m	.969
136	r3m_resnet50_nocrop	.968
137	resnet_50_v1_spiking_l4a	.968
138	convnext_femto_ols:d1_in1k	.969
139	resnet50_tutorial	.968
140	imagenet_l2_10_0	.969
141	resnet_50_v1_spiking	.968
142	yudixie_wbh_object_class_scaling_0415_run_1	.969
143	yudixie_resnet50_imagenet1kpret_0_240908	.969
144	resnet_50_v1	.969
145	resnet50-sup	.968
146	yudixie_resnet50_rotation_reg_0_240908	.969
147	resnet_50_v1_spiking_l3	.969
148	resnet_50_v1_spiking_l4	.968
149	resnet50_robust_l2_eps3	.968
150	resnet50-SIN	.968
151	deit_base_imagenet_full_seed-0	.967
152	resnet50_vicreg_linhead	.968
153	CLIP_resnet50	.967
154	CORnetZ_CIFAR10_bs32_20_04	.968
155	texture_shape_resnet50_trained_on_SIN	.967
156	resnet-152_v1-tf	.968
157	0.5x_resnet-18_LC	.967
158	CLIP_resnet50_float32	.967
159	cvt_cvt-13-384-in1k_4_LucyV4	.967
160	vonealexnet_gaussian_noise_std4_fixed	.966
161	0.5x_resnet-18_LC_w_sh_1_iter	.965
162	inception_v2-tf	.965
163	mehrer2020_alexnet_training_seed_10	.964
164	grcnn_109	.964
165	resnext101_32x32d_wsl	.964
166	resnet50-barlow	.963
167	vonegrcnn_47e	.963
168	resnet-18-LC_w_sh_100_iter_conv_init_m	.963
169	efficientnet_b1_imagenet_full	.963
170	nasnet_mobile	.964
171	resnet50-vicregl0p75	.962
172	alexnet_random_l2_3_perturb	.962
173	focalnet_tiny_lrf_in1k	.962
174	resnet50_ecoset_full	.961
175	resnext101_32x16d_wsl	.962
176	convnext_base_fb_in22k_ft_in1k	.961
177	resnet50_simsiam_linhead	.962
178	convnext_base_imagenet_full_seed-0	.961
179	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.960
180	yudixie_resnet18_random_0_240719	.960
181	AdvProp_efficientnet-b8	.960
182	yudixie_resnet18_imagenet1kpret_0_240719	.960
183	yudixie_resnet18_distance_translation_rotation_0_240719	.960
184	yudixie_wbh_object_class_scaling_0415_imagenet	.960
185	resnet18_imagenet21kP	.960
186	yudixie_resnet18_category_class_0_240719	.959
187	ReAlnet01_cornet_fov12	.958
188	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.957
189	mobilenet_v2_0.75_192-tf	.958
190	seresnext50_32x4d	.957
191	yudixie_wbh_object_class_scaling_0415_run_0	.957
192	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.957
193	AlexNet_SIN_fov4	.956
194	resnet50_imagenet_10_seed-0	.955
195	effnetv2m_custom384	.954
196	yudixie_wbh_object_class_scaling_0415_run_2	.954
197	resnet-18-LC_w_sh_100_iter_m	.954
198	eBarlow_lmda_02_1000ep	.954
199	mobilenet_v2_0_5_224	.954
200	convnext_xlarge:fb_in22k_ft_in1k	.952
201	CLIP_ViT-B_32	.953
202	RN50	.953
203	mobilenet_v1_0.25_128	.952
204	resnet_50_v2	.952
205	resnet-18-LC_untrained	.952
206	blt_vs	.952
207	0.5x_resnet-18	.951
208	densenet-201	.951
209	vonegrcnn_52e_full	.951
210	resnet50-VITO-8deg-cc	.950
211	resnet50-cifar	.950
212	inception_v3-tf	.950
213	BiT-M-R50x1	.949
214	ReAlnet01_cornet_fov16	.948
215	ReAlnet06	.948
216	ReAlnet06_cornet	.947
217	vggface	.948
218	CORnetZ_CIFAR10	.947
219	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.947
220	ReAlnet09_cornet	.948
221	convnext_small_imagenet_100_seed-0	.947
222	vit_base_patch16_clip_224:openai_ft_in1k	.947
223	ReAlnet09	.946
224	AdvProp_efficientnet-b6	.946
225	resnet18_fair	.946
226	resnet-18-LC_m	.946
227	vgg-19-keras	.944
228	CORnet-Z	.944
229	alexnet_fov4	.944
230	vonegrcnn_47e	.943
231	resnet50_st_wzc_seed3_2_323	.943
232	resnet50-SIN_IN	.943
233	resnext101_32x8d_wsl	.943
234	densenet-201-keras	.943
235	ReAlnet04_ALL	.944
236	ViT_L_32_imagenet1k	.942
237	alexnet_training_seed_02	.943
238	resnet50_barlowtwins_linhead	.942
239	Res2Net50_26w_4s	.943
240	compact_resnet50_robust_V4	.942
241	dinov2_vitl14_lc_res336	.942
242	CLIP-RN50	.942
243	resnet50_st_wzc_seed7_2_323	.941
244	yudixie_resnet50_category_class_0_240908	.942
245	alexnet_training_seed_07	.942
246	r3m_resnet18	.941
247	mobilenet_v2_0_75_192	.940
248	mobilenet_v2_0.75_224-tf	.940
249	resnet-50_v2-tf	.940
250	ReAlnet09_ALL	.939
251	compact_cornets_IT	.938
252	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.939
253	mobilenet_v2_0_75_160	.938
254	densenet-169	.939
255	inception_v3	.938
256	ReAlnet10	.938
257	ReAlnet10_cornet	.937
258	ReAlnet07	.936
259	deit_large_imagenet_full_seed-0	.937
260	ReAlnet07_cornet	.937
261	ReAlnet08_ALL	.936
262	FrankRobWobv0	.936
263	alexnet_l2_3_robust	.935
264	resnet101_imagenet_full	.936
265	efficientnet_b0	.935
266	AlexNet_SIN	.935
267	yudixie_resnet18_distance_translation_0_240719	.935
268	resnet152_ecoset_full	.935
269	resnet-101_v1-tf	.935
270	resnet_SIN_IN_FT_IN	.935
271	cvt_cvt-13-224-in1k_4_LucyV4	.935
272	compact_vgg19_IT	.934
273	konkle_alexnetgn_ipcl_ref01_primary_model	.934
274	ReAlnet03	.933
275	ReAlnet03_cornet	.933
276	ReAlnet05_cornet	.933
277	convnext_tiny_sup	.933
278	convnext_base_fb_in1k_gram_aligned_dinov3	.933
279	alexnet	.933
280	AdvProp_efficientnet-b7	.933
281	ReAlnet05	.932
282	ReAlnet02_ALL	.933
283	convnext_base_fb_in1k	.932
284	r3m_resnet50	.931
285	mobilenet_v2_1.0_128-tf	.931
286	ReAlnet06_ALL	.931
287	ReAlnet01_ALL	.931
288	ReAlnet10_ALL	.930
289	mobilenet_v2_0_5_192	.929
290	BiT-S-R152x4	.929
291	resnet50_imagenet_full	.929
292	my-model	.929
293	BiT-S-R101x3	.928
294	dinov2_vitl14_reg_lc	.928
295	dinov2_vitl14_reg_lc_featread	.927
296	mobilenet_v2_0_75_224	.927
297	BiT-M-R152x4	.927
298	resnet-18-LC_w_sh_1_iter_m	.926
299	alexnet_training_seed_01	.926
300	grcnn	.925
301	alexnet_training_seed_10	.924
302	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.924
303	ReAlnet01	.924
304	convnext_tiny_imagenet_full_seed-0	.924
305	ReAlnet08	.924
306	ReAlnet01_cornet	.924
307	ReAlnet08_cornet	.923
308	ReAlnet03_ALL	.923
309	compact_resnet50_V4	.923
310	mobilenet_v2_1.4_224-tf	.923
311	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.922
312	ReAlnet04	.922
313	efficientnet_b0_imagenet_full	.921
314	resnet-152_v2_pytorch	.922
315	resnet101	.921
316	ReAlnet05_ALL	.920
317	ReAlnet04_cornet	.921
318	ReAlnet02	.919
319	alexnet_fov16	.919
320	ReAlnet02_cornet	.919
321	compact_cornets_V4	.917
322	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.917
323	alexnet_reduced_aliasing_early_checkpoint	.917
324	resnet50_pretrained_with_retinal_waves	.918
325	compact_vgg19_V4	.916
326	alexnet_robust_correct	.918
327	ReAlnet07_ALL	.915
328	mobilenet_v2_1_0_128	.916
329	mobilenet_v2_1_0_160	.915
330	inception_v1	.914
331	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.914
332	BiT-M-R101x1	.914
333	alexnet_early_checkpoint	.913
334	inception_resnet_v2	.914
335	BiT-M-R101x3	.911
336	deit_small_imagenet_100_seed-0	.911
337	cornet_s	.911
338	convnext_small_imagenet_full_seed-0	.910
339	cvt_cvt-21-384-in1k_4_LucyV4	.909
340	regnety_032	.908
341	densenet-169-keras	.907
342	convnext_small_imagenet_10_seed-0	.901
343	AlexNet_SIN_fov16	.897
344	alexnet_training_seed_03	.897
345	resnet50_st_wzc_2	.896
346	mobilenet_v2_1.3_224-tf	.894
347	CORnet-S	.894
348	omnivore_swinS	.893
349	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.893
350	0.5x_resnet-18_LC_w_sh_10_iter	.893
351	mobilenet_v2_1_0_192	.893
352	deit3_base_patch16_224_fb_in22k_ft_in1k	.892
353	efficientnet-b7	.892
354	efficientnet_b2_imagenet_full	.891
355	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.890
356	compact_resnet50_IT	.891
357	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.890
358	mobilenet_v2_1.0_160-tf	.889
359	mobilenet_v2_1_3_224	.883
360	convnext_tiny:in12k_ft_in1k	.882
361	yudixie_resnet18_distance_reg_0_240719	.882
362	resnet50_imagenet_100_seed-0	.882
363	compact_resnet50_robust_IT	.882
364	mobilenet_v2_1.0_224-tf	.881
365	shufflenet_v2_x1_0	.877
366	alexnet_training_seed_01_fov4	.877
367	mobilenet_v2_1_4_224	.877
368	mobilenet_v2_1-4_224_pytorch	.876
369	mobilenet_v2_0.5_192-tf	.875
370	v1-pyr-nodown	.872
371	mobilenet_v2_1.0_192-tf	.872
372	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.867
373	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.868
374	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.867
375	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.867
376	alexnet_random_linf8_perturb	.867
377	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.866
378	mobilenet_v2_0.5_224-tf	.864
379	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.863
380	mobilenet_v2_0.35_224	.860
381	convnext_small_imagenet_1_seed-0	.859
382	omnivore_swinB	.854
383	BiT-S-R101x1	.848
384	vit_large_patch14_clip_224:laion2b_ft_in1k	.847
385	resnet50_ewconplus_wzc_seed2_2__323	.847
386	yolos_tiny	.845
387	BiT-M-R152x2	.843
388	mobilenet_v2_1.0_96	.838
389	resnet50_ewconplus_wzc	.827
390	alexnet_training_seed_08	.824
391	resnet50_hvs_wzc	.820
392	voneresnet-50-non_stochastic	.819
393	alexnet_training_seed_06	.817
394	mobilenet_v2_0.75_160-tf	.811
395	mobilenet_v2_0.5_160	.810
396	artResNet18_1	.801
397	ViT-B/32	.796
398	inception_v1-tf	.795
399	mobilenet_v2_1_0_224	.794
400	resnet50_ewconplus_wzc_seed5_2__323	.792
401	AlexNet_SIN_fov12	.790
402	mobilenet_v2_0.75_96	.783
403	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.780
404	alexnet_training_seed_05	.781
405	AdvProp_efficientnet-b0	.775
406	resnet50_ewconplus_wzc_seed6_2_323	.767
407	vit_base_patch16_dinov3-lvd1689m	.756
408	alexnet_fov12	.756
409	gabor_filter_entropy_4x4_v2_forcedCosine	.754
410	deit3_base_patch16_224_fb_in1k	.751
411	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.751
412	mobilenet_v2_0.75_128	.730
413	hmax	.689
414	mobilenet_v2_0.5_128	.689
415	my-model	.690
416	deepeisnn_ei_cifar10_vgg19	.689
417	deepeisnn_ei_cifar10_resnet18	.690
418	deepeisnn_ei_imagenet_resnet18	.689
419	gabor_filter_entropy_4x4	.689
420	gabor_filter_mean_abs_4x4_v2	.689
421	gabor_filter_entropy_4x4_v2	.689
422	deit_small_imagenet_full_seed-0	.686
423	AdvProp_efficientnet-b4	.654
424	deit_small_imagenet_10_seed-0	.343
425	mobilenet_v2_0.35_160
426	resnet18-supervised
427	fitvid_trained_on_physion
428	openclip
429	resnet50_ImageNet
430	regnet_y_400mf
431	tv_efficientnet-b1
432	alexnet_ks_torevert
433	yudixie_resnet50_imagenet1kpret_0_240312
434	resnet_152_v1
435	eicircuit_resnet18_bn_20260919
436	densenet_201_pytorch
437	pnasnet_large_pytorch
438	inception_v3_pytorch
439	inception_v4
440	nasnet_large
441	deit_small_imagenet_1_seed-0
442	pnasnet_large
443	vonegrcnn_62e_nobn
444	resnet_101_v2
445	resnet_152_v2
446	vonegrcnn_52e_full
447	resnet_101_v1
448	resnet50_simclr_linhead_01norm
449	mehrer2020_alexnet_training_seed_01
450	mehrer2020_alexnet_training_seed_01_fov4
451	mehrer2020_alexnet_training_seed_01_fov16
452	pr1_stl10_disentangled_alpha04
453	predictive_coding_pc
454	dinov2_vitg14_lc
455	vit_large_clip336_openai
456	dinov2_vitg14_reg_lc
457	eva02_large_in22k
458	convnext_xxlarge_clip

Benchmark bibtex

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: Marques2020_Ringach2002

Metric: max_dc