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Sample stimuli

How to use

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

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.975
2	deit3_base_patch16_224_fb_in22k_ft_in1k	.973
3	vonegrcnn_52e_full	.906
4	resnet50_imagenet_1_seed-0	.900
5	deit_large_imagenet_full_seed-0	.886
6	resnet50_imagenet_10_seed-0	.884
7	vonegrcnn_52e_full	.872
8	deit_small_imagenet_100_seed-0	.864
9	resnet18_fair	.855
10	vonegrcnn_47e	.855
11	dinov2_vitg14_lc	.848
12	vit_base_patch14_dinov2-lvd142m	.833
13	dinov2_vitl14_lc	.822
14	vgg_19	.818
15	vit_base_patch14_reg4_dinov2-lvd142m	.815
16	ViT_L_32_imagenet1k	.811
17	blt_vs	.809
18	ijepa_vith14_linhead	.808
19	vonegrcnn_62e_nobn	.808
20	voneresnet-50-robust	.798
21	resnet-18-LC_w_sh_10_iter_m	.798
22	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.795
23	VOneCORnet-S	.793
24	vit_base_patch16_dinov3-lvd1689m	.793
25	dinov2_vitl14_reg_lc	.789
26	voneresnet-50	.789
27	mobilenet_v2_0.5_160	.789
28	v1-pyr-nodown	.783
29	resnet-18-LC_m	.783
30	resnet50_FractalDB	.781
31	dinov2_vitl14_lc_res336	.779
32	nasnet_large-tf	.774
33	resnet-18-LC_w_sh_1_iter_conv_init_m	.758
34	resnet-18-LC_w_sh_100_iter_m	.752
35	vit_large_patch14_clip_224:laion2b_ft_in1k	.749
36	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.747
37	voneresnet-50-non_stochastic	.726
38	vit_base_patch16_clip_224:openai_ft_in1k	.719
39	deit_small_imagenet_full_seed-0	.710
40	resnet50_pretrained_with_retinal_waves	.697
41	vision_transformer_vit_large_patch16_224	.695
42	resnet-18-LC_w_sh_10_iter_conv_init_m	.693
43	alexnet_l2_3_robust	.690
44	vggface	.688
45	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.689
46	convnext_base_fb_in22k_ft_in1k	.687
47	ReAlnet01_cornet_fov4	.687
48	resnet50_simsiam_linhead	.687
49	BiT-M-R152x4	.686
50	deit_base_imagenet_full_seed-0	.677
51	BiT-S-R50x1	.676
52	yudixie_resnet50_object_class_0_240908	.671
53	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.671
54	yudixie_resnet50_category_class_0_240908	.670
55	resnet50_simclr_linhead_01norm	.667
56	resnet-18-LC_conv_init_m	.660
57	resnet-18-LC_untrained	.660
58	focalnet_tiny_lrf_in1k	.659
59	0.5x_resnet-18_LC_w_sh_10_iter	.656
60	mobilenet_v2_1.0_96	.656
61	resnet-18-LC_w_sh_100_iter_conv_init_m	.651
62	resnet50_byol_linhead	.650
63	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4	.650
64	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.646
65	r3m_resnet50	.646
66	nasnet_mobile-tf	.644
67	resnet50_primary_visual_cortex	.643
68	yudixie_resnet50_distance_rotation_0_240908	.640
69	resnet-50_untrained	.638
70	BiT-S-R152x2	.633
71	resnet-18-LC_d_w_sh_1x1_conv_init_m	.627
72	deepeisnn_ei_imagenet_resnet18	.627
73	r3m_resnet34	.626
74	alexnet_reduced_aliasing_early_checkpoint	.624
75	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.622
76	resnet50_hvs_wzc	.617
77	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.617
78	imagenet_l2_10_0	.617
79	yudixie_resnet50_cat_obj_class_all_latents_0_240908	.615
80	resnet50-VITO-8deg-cc	.611
81	resnet-152_v2-tf	.610
82	deepeisnn_ei_cifar10_resnet18	.609
83	omnivore_swinS	.607
84	resnet50_linf_8_robust	.607
85	pnasnet_large-tf	.604
86	pnasnet_large_halfPrecision	.603
87	yudixie_wbh_object_class_scaling_0415_run_2	.602
88	my-model	.601
89	yolos_tiny	.602
90	r3m_resnet50_nocrop	.601
91	resnet50-moclr8deg	.598
92	yudixie_resnet18_object_class_0_240719	.598
93	shufflenet_v2_x1_0	.598
94	resnet50_robust_l2_eps1	.597
95	omnivore_swinT	.597
96	xception	.596
97	resnet-50x2_untrained	.588
98	resnet_50_v1_spiking_l4a	.588
99	resnet50-sup	.588
100	resnet_50_v1_spiking_l4	.587
101	yudixie_resnet50_imagenet1kpret_0_240908	.587
102	resnet_50_v1	.587
103	resnet_50_v1_spiking	.586
104	resnet_50_v1_spiking_l3	.586
105	resnet50_tutorial	.585
106	eva02_large_in22k	.584
107	resnet50-vitoimagevidnet8	.581
108	resnet50_simclr	.579
109	convnext_large:fb_in22k_ft_in1k	.579
110	grcnn_v2_text_noise	.579
111	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.578
112	yudixie_resnet18_translation_rotation_0_240719	.578
113	vgg_16	.577
114	yudixie_resnet50_translation_rotation_0_240908	.576
115	resnet-152_v1-tf	.576
116	efficientnet_b1_imagenet_full	.575
117	resnet50-vicregl0p9	.573
118	yudixie_resnet50_random_0_240908	.573
119	resnet50_vicreg_linhead	.573
120	yudixie_resnet50_rotation_reg_0_240908	.571
121	convnext_xlarge:fb_in22k_ft_in1k	.570
122	resnet50-barlow	.570
123	resnet-50_v1-tf	.570
124	BiT-M-R50x3	.570
125	resnet50_barlowtwins_linhead	.569
126	resnet50_st_wzc_2	.569
127	resnet50_byol	.568
128	BiT-S-R101x3	.567
129	cv_18_dagger_408_pretrained	.567
130	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.565
131	inception_v1	.564
132	resnet-18_untrained	.565
133	yudixie_resnet18_distance_reg_0_240719	.564
134	deit3_base_patch16_224_fb_in1k	.563
135	resnet50-vicreg	.563
136	BiT-S-R152x4	.561
137	yudixie_resnet50_distance_translation_rotation_0_240908	.560
138	nasnet_mobile	.559
139	resnet34_ecoset_full	.559
140	yudixie_resnet18_cat_obj_class_all_latents_0_240719	.559
141	vit_large_patch14_clip_224:openai_ft_in1k	.556
142	convnext_xxlarge_clip	.555
143	yudixie_wbh_object_class_scaling_0415_run_3	.553
144	resnet50_st_wzc_seed3_2_323	.553
145	mobilenet_v2_1-4_224_pytorch	.553
146	r3m_resnet18	.552
147	cvt_cvt-21-384-in1k_4_LucyV4	.550
148	alexnet_training_seed_01_fov12	.550
149	yudixie_resnet18_category_class_0_240719	.548
150	briaai_rmbg_1_4	.548
151	resnet50_st_wzc_seed6_2_323	.548
152	efficientnet_b0	.548
153	0.5x_resnet-18	.547
154	resnet50_l2_3_robust	.545
155	resnet-101_v2-tf	.545
156	grcnn	.544
157	resnet50_ewconplus_wzc	.544
158	resnet101_imagenet_full	.542
159	BiT-M-R101x3	.542
160	omnivore_swinB	.541
161	resnet50-simclr-vissl	.539
162	vit_large_clip336_openai	.539
163	CLIP_ViT-B_32	.538
164	yudixie_resnet50_distance_translation_0_240908	.536
165	alexnet_training_seed_03	.536
166	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.536
167	resnet50-SIN_IN_IN	.535
168	densenet-121	.533
169	resnet50_ewconplus_wzc_seed2_2__323	.533
170	BiT-M-R101x1	.532
171	resnet50_linf_4_robust	.531
172	imagenet_l2_3_0	.530
173	BiT-S-R50x3	.530
174	yudixie_resnet18_distance_translation_rotation_0_240719	.529
175	grcnn_robust_v1	.528
176	resnet18_imagenet_full	.528
177	vonealexnet_gaussian_noise_std4_fixed	.526
178	vit_huge_clip336_laion	.527
179	resnet50_robust_l2_eps3	.527
180	alexnet_robust_correct	.524
181	barlow-twins-resnet50	.524
182	BiT-M-R50x1	.524
183	resnet-18_test_m	.524
184	resnet50_st_wzc_seed7_2_323	.524
185	inception_v4-tf	.522
186	resnext101_32x16d_wsl	.521
187	densenet-121-keras	.519
188	mobilenet_v2_1.0_160-tf	.519
189	convnext_small_imagenet_10_seed-0	.517
190	resnet18_ecoset_full	.517
191	yudixie_resnet18_distance_translation_0_240719	.516
192	yudixie_wbh_object_class_scaling_0415_run_0	.516
193	alexnet_training_seed_07	.516
194	yudixie_wbh_object_class_scaling_0415_imagenet	.514
195	yudixie_resnet18_imagenet1kpret_0_240719	.514
196	mobilenet_v2_1.0_128-tf	.514
197	yudixie_resnet18_random_0_240719	.512
198	resnet50_moco_v2	.511
199	resnet-152_v2_pytorch	.512
200	grcnn_109	.511
201	SWSL_resnet50	.509
202	yudixie_resnet18_translation_reg_0_240719	.509
203	alexnet_linf_8_robust	.508
204	convnext_base_fb_in1k	.508
205	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.504
206	resnet50_imagenet_full	.503
207	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.503
208	yudixie_resnet18_rotation_reg_0_240719	.501
209	resnet50	.502
210	resnet50_finetune_cutmix_AVGe2e3_robust_linf8255_e0_247x234	.501
211	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.501
212	resnet50-vicregl0p75	.499
213	convnext_small_imagenet_100_seed-0	.499
214	convnext_large_clip_laion2b_finelayers	.499
215	yudixie_resnet18_distance_rotation_0_240719	.498
216	BiT-S-R101x1	.496
217	resnet50_random_l2_perturb	.493
218	antialiased-rnext101_32x8d	.493
219	0.5x_resnet-18_LC_w_sh_100_iter	.493
220	cvt_cvt-13-224-in1k_4_LucyV4	.492
221	yudixie_resnet50_distance_reg_0_240908	.491
222	resnet50-SIN_IN	.491
223	resnet-18-LC_1st_conv_m	.490
224	yudixie_resnet50_translation_reg_0_240908	.490
225	yudixie_wbh_object_class_scaling_0415_run_1	.488
226	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.487
227	mobilenet_v2_1_0_128	.486
228	cvt_cvt-21-224-in1k_4_LucyV4	.485
229	custom_model_cv_18_dagger_408	.484
230	resnet50_random_linf8_perturb	.484
231	resnet_50_v2	.482
232	inception_v3	.481
233	vit_relpos_base_patch16_clsgap_224:sw_in1k	.480
234	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.480
235	convnext_tiny_sup	.479
236	0.5x_resnet-18_LC	.479
237	mobilenet_v2_0_5_224	.478
238	alexnet_fov4	.477
239	resnet-50_v2-tf	.477
240	ViT-B/32	.476
241	resnet50_ewconplus_wzc_seed5_2__323	.476
242	texture_shape_resnet50_trained_on_SIN	.475
243	alexnet_training_seed_04	.470
244	resnet34_imagenet_full	.469
245	RN50	.469
246	resnet50-SIN	.468
247	resnet101_ecoset_full	.469
248	convnext_large_imagenet_full_seed-0	.468
249	resnet50-cifar	.467
250	resnet101	.465
251	eicircuit_resnet18_bn_20260919	.464
252	Res2Net50_26w_4s	.462
253	mobilenet_v2_1_4_224	.460
254	effnetv2m_custom384	.458
255	mobilenet_v2_0.75_192-tf	.457
256	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.457
257	alexnet_training_seed_09	.457
258	resnet152_imagenet_full	.453
259	resnet152_ecoset_full	.453
260	convnext_base:clip_laiona_augreg_ft_in1k_384	.452
261	alexnet_random_l2_3_perturb	.451
262	vgg-16-keras	.450
263	alexnet_training_seed_01_fov16	.449
264	alexnet_training_seed_02	.448
265	SWSL_resnext101_32x8d	.445
266	resnet50_ewconplus_wzc_seed6_2_323	.445
267	konkle_alexnetgn_ipcl_ref01_primary_model	.444
268	mobilenet_v2_0_75_224	.443
269	efficientnet_b0_imagenet_full	.441
270	mobilevit_small	.441
271	seresnext50_32x4d	.441
272	convnext_small_imagenet_1_seed-0	.440
273	resnet-101_v1-tf	.440
274	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.440
275	convnext_tiny:in12k_ft_in1k	.439
276	resnet18_imagenet21kP	.439
277	resnext101_32x32d_wsl	.438
278	artResNet18_1	.436
279	resnet_SIN_IN_FT_IN	.436
280	vit_large_patch14_clip_336:laion2b_ft_in1k	.434
281	compact_vgg19_V4	.433
282	convnext_tiny_imagenet_full_seed-0	.432
283	resnext101_32x48d_wsl	.431
284	0.5x_resnet-18_LC_w_sh_1_iter	.429
285	deepeisnn_ei_cifar10_vgg19	.429
286	convnext_base_imagenet_full_seed-0	.429
287	resnet50_ecoset_full	.426
288	alexnet_training_seed_10	.421
289	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.421
290	CLIP_resnet50_float32	.420
291	CLIP_resnet50	.420
292	mobilenet_v2_0.5_224-tf	.418
293	densenet-201	.413
294	resnet-50-robust	.412
295	CORnet-Z	.410
296	FrankRobWobv0	.411
297	AdvProp_efficientnet-b6	.410
298	densenet-169	.410
299	compact_resnet50_IT	.409
300	regnety_032	.408
301	compact_resnet50_V4	.408
302	resnet-18-LC_w_sh_1_iter_m	.408
303	resnext101_32x8d_wsl	.407
304	inception_v2-tf	.407
305	CORnetZ_CIFAR10_bs32_20_04	.405
306	mobilenet_v2_1.4_224-tf	.404
307	mobilenet_v2_1.3_224-tf	.403
308	densenet-169-keras	.403
309	AdvProp_efficientnet-b7	.403
310	alexnet_training_seed_01	.402
311	BiT-M-R152x2	.402
312	convnext_small_imagenet_full_seed-0	.397
313	convnext_large_in22k_supervised	.397
314	alexnet_fov16	.394
315	alexnet	.387
316	AlexNet_SIN	.387
317	AdvProp_efficientnet-b8	.386
318	compact_resnet50_robust_IT	.385
319	inception_v3-tf	.383
320	mobilenet_v2_0.75_160-tf	.382
321	CLIP-RN50	.378
322	mobilenet_v2_0_75_192	.378
323	antialias-resnet152	.378
324	inception_v1-tf	.376
325	cvt_cvt-13-384-in1k_4_LucyV4	.374
326	antialiased-r50	.371
327	AlexNet_SIN_fov4	.369
328	mobilenet_v2_0.75_128	.368
329	densenet-201-keras	.366
330	texture_shape_alexnet_trained_on_SIN	.365
331	mobilenet_v1_0.25_128	.363
332	AlexNet_SIN_fov12	.362
333	efficientnet_b2_imagenet_full	.359
334	mobilenet_v2_1.0_224-tf	.358
335	mehrer2020_alexnet_training_seed_01_fov12	.354
336	ReAlnet09_cornet	.351
337	ReAlnet09	.348
338	resnet50_imagenet_100_seed-0	.347
339	convnext_femto_ols:d1_in1k	.346
340	convnext_base_fb_in1k_gram_aligned_dinov3	.345
341	CORnet-S	.341
342	alexnet_fov12	.340
343	alexnet_random_linf8_perturb	.340
344	AdvProp_efficientnet-b2	.339
345	AT_efficientnet-b2	.338
346	cornet_s	.338
347	mobilenet_v2_0.75_224-tf	.336
348	ReAlnet02_cornet	.335
349	ReAlnet02	.334
350	ReAlnet04_ALL	.334
351	ReAlnet03_ALL	.333
352	ReAlnet01_ALL	.332
353	ReAlnet08_ALL	.329
354	ReAlnet10_ALL	.329
355	ReAlnet07_ALL	.329
356	mehrer2020_alexnet_training_seed_03	.329
357	ReAlnet06_ALL	.328
358	ReAlnet09_ALL	.328
359	ReAlnet02_ALL	.328
360	ReAlnet05_ALL	.327
361	effnetb1_272x240	.326
362	mobilenet_v2_1_3_224	.321
363	ReAlnet01	.318
364	ReAlnet01_cornet	.318
365	ReAlnet06	.316
366	ReAlnet06_cornet	.315
367	vgg-19-keras	.313
368	mobilenet_v2_0_5_192	.313
369	ReAlnet07_cornet	.312
370	ReAlnet07	.311
371	compact_cornets_IT	.309
372	mobilenet_v2_1_0_160	.308
373	mehrer2020_alexnet_training_seed_10	.308
374	ReAlnet03_cornet	.308
375	ReAlnet03	.307
376	ReAlnet04_cornet	.303
377	alexnet_training_seed_01_fov4	.302
378	ReAlnet04	.301
379	alexnet_early_checkpoint	.299
380	mobilenet_v2_0.75_96	.298
381	mehrer2020_alexnet_training_seed_08	.298
382	mobilenet_v2_0.5_192-tf	.297
383	ReAlnet08	.297
384	ReAlnet08_cornet	.297
385	alexnet_training_seed_08	.297
386	mobilenet_v2_0_75_160	.295
387	AdvProp_efficientnet-b0	.295
388	ReAlnet05	.293
389	ReAlnet05_cornet	.293
390	inception_resnet_v2	.291
391	mehrer2020_alexnet_training_seed_01	.291
392	compact_cornets_V4	.290
393	mobilenet_v2_0.35_224	.290
394	mobilenet_v2_1_0_192	.289
395	ReAlnet10_cornet	.288
396	ReAlnet10	.288
397	deit_small_imagenet_10_seed-0	.281
398	my-model	.281
399	ReAlnet01_cornet_fov12	.280
400	compact_resnet50_robust_V4	.278
401	AdvProp_efficientnet-b4	.276
402	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.273
403	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.272
404	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.272
405	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.271
406	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.271
407	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.271
408	efficientnet-b7	.271
409	mobilenet_v2_1.0_192-tf	.263
410	gabor_filter_entropy_4x4_v2_forcedCosine	.257
411	CORnetZ_CIFAR10	.252
412	compact_vgg19_IT	.248
413	mehrer2020_alexnet_training_seed_02	.247
414	ReAlnet01_cornet_fov16	.245
415	alexnet_training_seed_05	.199
416	alexnet_training_seed_06	.198
417	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.198
418	mobilenet_v2_1_0_224	.198
419	AlexNet_SIN_fov16	.198
420	gabor_filter_entropy_4x4	.198
421	gabor_filter_entropy_4x4_v2	.199
422	gabor_filter_mean_abs_4x4_v2	.198
423	hmax	.199
424	mobilenet_v2_0.5_128	.198
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	densenet_201_pytorch
436	pnasnet_large_pytorch
437	inception_v3_pytorch
438	eBarlow_lmda_02_1000ep
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	vonegrcnn_47e
446	resnet_101_v1
447	resnet_152_v2
448	mehrer2020_alexnet_training_seed_01_fov4
449	mehrer2020_alexnet_training_seed_01_fov16
450	mehrer2020_alexnet_training_seed_04
451	mehrer2020_alexnet_training_seed_05
452	mehrer2020_alexnet_training_seed_06
453	mehrer2020_alexnet_training_seed_07
454	mehrer2020_alexnet_training_seed_09
455	pr1_stl10_disentangled_alpha04
456	predictive_coding_pc
457	dinov2_vitg14_reg_lc
458	dinov2_vitl14_reg_lc_featread

Benchmark bibtex

None

Ceiling

0.96.

Note that scores are relative to this ceiling.

Data: Marques2020_Ringach2002

Metric: modulation_ratio