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("Geirhos2021contrast-error_consistency")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnext101_32x16d_wsl	.771
2	effnetv2m_custom384	.731
3	CLIP_resnet50	.718
4	CLIP_resnet50_float32	.718
5	resnet-152_v2-tf	.709
6	CLIP_ViT-B_32	.708
7	SWSL_resnet50	.696
8	nasnet_large-tf	.688
9	resnet50_st_wzc_seed7_2_323	.676
10	ViT_B_16_imagenet1k	.658
11	resnet_50_v2	.647
12	ViT_L_32_imagenet1k	.635
13	effnetb1_272x240	.632
14	CLIP-RN50	.631
15	inception_v4	.623
16	resnext101_32x8d_wsl	.621
17	ViT_L_16_imagenet1k	.617
18	pnasnet_large-tf	.617
19	inception_v4-tf	.606
20	resnet50_ewconplus_wzc_seed5_2__323	.602
21	nasnet_large	.598
22	vision_transformer_vit_large_patch16_224	.590
23	resnet50_ewconplus_wzc_seed2_2__323	.584
24	resnext101_32x48d_wsl	.581
25	seresnext50_32x4d	.580
26	resnext101_32x32d_wsl	.577
27	xception-keras	.574
28	convnext_base_fb_in1k_gram_aligned_dinov3	.570
29	vit_large_patch14_clip_224:laion2b_ft_in1k	.568
30	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.565
31	resnet-50_v2-tf	.563
32	resnet_101_v2	.562
33	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.555
34	pnasnet_large_pytorch	.554
35	SWSL_resnext101_32x8d	.547
36	deit3_base_patch16_224_fb_in22k_ft_in1k	.546
37	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.544
38	pnasnet_large_halfPrecision	.544
39	pnasnet_large	.544
40	regnety_032	.542
41	xception	.540
42	resnet50_st_wzc_seed3_2_323	.537
43	ViT_B_32_imagenet1k	.533
44	resnet50_ewconplus_wzc_seed6_2_323	.513
45	inception_v3-tf	.511
46	cvt_cvt-13-224-in1k_4_LucyV4	.507
47	focalnet_tiny_lrf_in1k	.506
48	convnext_base_fb_in1k	.506
49	convnext_femto_ols:d1_in1k	.503
50	convnext_tiny:in12k_ft_in1k	.503
51	deit3_base_patch16_224_fb_in22k_ft_in1k_gram_aligned_dinov3	.499
52	resnet-152_v2_pytorch	.496
53	tv_efficientnet-b1	.492
54	resnet50_ewconplus_wzc	.490
55	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.481
56	convnext_tiny_sup	.478
57	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.476
58	cvt_cvt-21-224-in1k_4_LucyV4	.460
59	convnext_small_imagenet_100_seed-0	.456
60	convnext_small_imagenet_full_seed-0	.452
61	cvt_cvt-21-384-in1k_4_LucyV4	.445
62	convnext_tiny_imagenet_full_seed-0	.433
63	resnet50_st_wzc_2	.432
64	cvt_cvt-13-384-in1k_4_LucyV4	.431
65	resnet50-VITO-8deg-cc	.430
66	vit_relpos_base_patch16_clsgap_224:sw_in1k	.429
67	vit_base_patch16_clip_224:openai_ft_in1k	.418
68	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.416
69	vit_large_patch14_clip_336:laion2b_ft_in1k	.413
70	resnet50_hvs_wzc	.403
71	resnet50-moclr8deg	.403
72	resnet50_moco_v2	.400
73	resnet101	.399
74	BiT-S-R50x3	.397
75	convnext_base_fb_in22k_ft_in1k	.390
76	resnet_152_v2	.376
77	antialias-resnet152	.370
78	resnet50_byol	.367
79	inception_v3	.351
80	convnext_base:clip_laiona_augreg_ft_in1k_384	.349
81	antialiased-rnext101_32x8d	.347
82	convnext_base_imagenet_full_seed-0	.347
83	resnet50	.345
84	fixres_resnext101_32x48d_wsl	.344
85	resnet152_imagenet_full	.340
86	resnet50_imagenet_full	.335
87	cv_18_dagger_408_pretrained	.332
88	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.329
89	konkle_alexnetgn_ipcl_ref12_supervised_ipcl_aug	.328
90	densenet-169-keras	.324
91	convnext_large_imagenet_full_seed-0	.322
92	densenet-121-keras	.317
93	deit_base_imagenet_full_seed-0	.309
94	antialiased-r50	.308
95	deit_small_imagenet_full_seed-0	.308
96	densenet-201-keras	.302
97	resnet_101_v1	.301
98	BiT-S-R152x4	.294
99	deit3_base_patch16_224_fb_in1k_gram_aligned_dinov3	.290
100	blt_vs	.283
101	resnet34_imagenet_full	.276
102	resnet50_random_l2_perturb	.274
103	effnetb1_cutmixpatch_augmix_robust32_e5_324x288	.271
104	AlexNet_SIN_fov4	.270
105	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.269
106	inception_v2-tf	.265
107	BiT-S-R101x3	.261
108	resnet50_simclr	.260
109	densenet-169	.254
110	densenet-201	.253
111	densenet_201_pytorch	.253
112	densenet-121	.250
113	resnet_152_v1	.246
114	inception_v1-tf	.242
115	vit_large_patch14_clip_224:openai_ft_in1k	.241
116	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.240
117	nasnet_mobile	.237
118	resnet50-SIN_IN_IN	.229
119	resnet_SIN_IN_FT_IN	.229
120	Res2Net50_26w_4s	.228
121	resnet-50-pytorch	.221
122	resnet50-sup	.221
123	resnet50_tutorial	.221
124	resnet_50_v1	.221
125	grcnn_109	.220
126	efficientnet_b0	.219
127	resnet-101_v1-tf	.216
128	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.215
129	deit_large_imagenet_full_seed-0	.206
130	convnext_large:fb_in22k_ft_in1k	.204
131	alexnet_fov4	.204
132	AT_efficientnet-b2	.200
133	AdvProp_efficientnet-b2	.200
134	dinov2_vitl14_lc	.197
135	dinov2_vitl14_reg_lc	.193
136	resnet50-SIN_IN	.193
137	BiT-S-R152x2	.191
138	resnet_50_v1_spiking	.190
139	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.186
140	grcnn	.184
141	resnet-50_v1-tf	.182
142	resnet-152_v1-tf	.182
143	BiT-S-R101x1	.181
144	AdvProp_efficientnet-b6	.179
145	vgg_19	.178
146	dinov2_vitg14_lc	.177
147	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.176
148	mobilenet_v2_0_5_224	.176
149	resnet101_imagenet_full	.171
150	vonegrcnn_52e_full	.171
151	efficientnet-b7	.166
152	efficientnet_b2_imagenet_full	.166
153	mobilenet_v2_1-4_224_pytorch	.166
154	mobilenet_v2_1_4_224	.166
155	effnetb1_cutmixrespatch_SAM_robust32_e2_manylayers_324x288	.163
156	BiT-S-R50x1	.158
157	eicircuit_resnet18_bn_20260919	.158
158	nasnet_mobile-tf	.158
159	alexnet_training_seed_02	.156
160	alexnet_training_seed_04	.156
161	alexnet_training_seed_10	.156
162	vgg-16-keras	.155
163	alexnet_random_linf8_perturb	.155
164	AdvProp_efficientnet-b4	.155
165	AT_efficientnet-b4	.155
166	ReAlnet05	.154
167	mobilenet_v2_0.5_224-tf	.152
168	mobilenet_v1_0.25_128	.152
169	vonegrcnn_47e	.151
170	alexnet_random_l2_3_perturb	.148
171	ReAlnet02	.147
172	resnet50-vitoimagevidnet8	.147
173	resnet-18	.147
174	convnext_xlarge:fb_in22k_ft_in1k	.145
175	ReAlnet04	.144
176	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.143
177	mobilenet_v2_1_0_224	.140
178	voneresnet-50-non_stochastic	.140
179	convnext_large_in22k_supervised	.140
180	AdvProp_efficientnet-b7	.139
181	cornet_s	.139
182	ReAlnet08	.135
183	ReAlnet03	.133
184	alexnet_reduced_aliasing_early_checkpoint	.131
185	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.131
186	vonegrcnn_52e_full	.125
187	alexnet_ks_torevert	.123
188	alexnet	.123
189	vit_large_clip336_openai	.122
190	texture_shape_resnet50_trained_on_SIN	.122
191	resnet50_l2_3_robust	.121
192	vgg_16	.121
193	mobilenet_v1_0.25_192	.120
194	vonegrcnn_62e_nobn	.120
195	mobilenet_v2_0.5_128	.119
196	voneresnet-50-robust	.119
197	resnet50_linf_4_robust	.119
198	mobilevit_small	.118
199	alexnet_fov16	.118
200	vit_huge_clip336_laion	.117
201	alexnet_robust_correct	.117
202	resnet50_linf_8_robust	.116
203	dinov2_vitg14_reg_lc	.116
204	alexnet_l2_3_robust	.115
205	vgg-19-keras	.114
206	vonegrcnn_62e_nobn	.113
207	resnet-50-robust	.113
208	imagenet_l2_3_0	.113
209	resnet50_robust_l2_eps3	.113
210	resnet50_robust_l2_eps1	.113
211	resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234	.110
212	alexnet_linf_8_robust	.109
213	convnext_large_clip_laion2b_finelayers	.109
214	imagenet_l2_10_0	.108
215	tf_efficientnetv2_s_in21ft1k_robust_linf12255_400x400	.108
216	ReAlnet09	.107
217	mobilenet_v2_1_0_128	.107
218	ReAlnet07	.107
219	effnetb1_cutmixrespatch_SAM_robust32_e10_manylayers_324x288	.106
220	resnet50_imagenet_10_seed-0	.106
221	deit_small_imagenet_10_seed-0	.106
222	deit_small_imagenet_1_seed-0	.106
223	mobilenet_v2_0_5_192	.105
224	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.103
225	ReAlnet06	.102
226	vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k	.102
227	vonealexnet_gaussian_noise_std4_fixed	.101
228	alexnet_training_seed_05	.101
229	alexnet_training_seed_01	.101
230	alexnet_training_seed_01_fov4	.101
231	alexnet_training_seed_01_fov12	.101
232	alexnet_training_seed_01_fov16	.101
233	barlow-twins-resnet50	.099
234	ReAlnet10	.097
235	alexnet_fov12	.097
236	vonegrcnn_47e	.096
237	konkle_alexnetgn_ipcl_ref01_primary_model	.094
238	resnet50-vicreg	.094
239	mobilenet_v1_0.5_192	.094
240	mobilenet_v2_1.0_96	.093
241	mobilenet_v2_0.35_128	.091
242	mobilenet_v2_1_0_160	.088
243	mobilenet_v2_0.35_192	.088
244	resnet18_imagenet_full	.087
245	eva02_large_in22k	.086
246	resnet50-SIN	.085
247	mobilenet_v1_0.5_128	.083
248	mobilenet_v1_1.0_224	.081
249	mobilenet_v2_0.35_160	.081
250	squeezenet1_0	.081
251	mobilenet_v2_1.0_128-tf	.080
252	AdvProp_efficientnet-b8	.079
253	resnet50_eMMCR_Vanilla	.079
254	alexnet_early_checkpoint	.075
255	inception_v1	.074
256	dinov2_vitl14_lc_res336	.073
257	resnet50-vicregl0p9	.072
258	mobilenet_v1_0.5_160	.072
259	mobilenet_v2_1_0_192	.071
260	mobilenet_v2_1.0_160-tf	.070
261	resnet50_FractalDB	.070
262	ReAlnet01	.070
263	mobilenet_v2_1.0_224-tf	.070
264	efficientnet_b0_imagenet_full	.069
265	voneresnet-50	.069
266	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.064
267	alexnet_training_seed_09	.058
268	mobilenet_v2_1.0_192-tf	.056
269	alexnet_training_seed_07	.054
270	CORnet-S	.052
271	mobilenet_v2_0.5_192-tf	.052
272	mobilenet_v2_1.4_224-tf	.050
273	mobilenet_v1_0.75_160	.050
274	resnet_50_v1_spiking_l4	.049
275	mobilenet_v2_0.5_160	.049
276	resnet50_imagenet_1_seed-0	.048
277	resnet-34	.047
278	mobilenet_v1_1.0_160	.046
279	mobilenet_v1_1.0_192	.045
280	resnet50-vicregl0p75	.044
281	efficientnet_b1_imagenet_full	.044
282	AdvProp_efficientnet-b0	.044
283	mobilenet_v2_0_75_192	.044
284	custom_model_cv_18_dagger_408	.044
285	mobilenet_v2_0.35_224	.043
286	mobilenet_v1_0.5_224	.043
287	resnet_50_v1_spiking_l3	.038
288	resnet50-barlow	.037
289	resnet50_imagenet_100_seed-0	.035
290	resnet_50_v1_spiking_l4a	.033
291	mobilenet_v2_0_75_160	.033
292	mobilenet_v1_0.75_128	.033
293	mobilenet_v2_0.75_128	.032
294	my-model	.030
295	AlexNet_SIN_fov12	.027
296	mobilenet_v2_1_3_224	.025
297	convnext_small_imagenet_10_seed-0	.025
298	mobilenet_v1_0.75_192	.024
299	mobilenet_v2_0_75_224	.024
300	convnext_base_fb_in22k_ft_in1k_gram_aligned_dinov3	.024
301	AlexNet_SIN_fov16	.023
302	AlexNet_SIN	.022
303	alexnet_training_seed_03	.022
304	mobilenet_v1_0.25_224	.022
305	deit_small_imagenet_100_seed-0	.021
306	mobilenet_v2_0.75_96	.020
307	squeezenet1_1	.020
308	convnext_small_imagenet_1_seed-0	.020
309	alexnet_training_seed_08	.020
310	mobilenet_v2_1.3_224-tf	.019
311	mobilenet_v2_0.75_160-tf	.018
312	artResNet18_1	.018
313	resnet50_random_linf8_perturb	.017
314	mobilenet_v2_0.5_96	.017
315	mobilenet_v1_1.0_128	.016
316	mobilenet_v1_0.25_160	.016
317	alexnet_training_seed_06	.016
318	texture_shape_alexnet_trained_on_SIN	.015
319	mobilenet_v2_0.35_96	.015
320	mobilenet_v2_0.75_224-tf	.014
321	mobilenet_v2_0.75_192-tf	.013
322	regnet_y_400mf	.013
323	resnet-50_untrained	.012
324	mobilenet_v1_0.75_224	.011
325	resnet50-simclr-vissl	.008
326	shufflenet_v2_x1_0	.006
327	0.5x_resnet-18_LC_w_sh_1_iter	.006
328	resnet-18-LC_w_sh_100_iter_conv_init_m
329	ViT-B/32
330	BiT-M-R50x3
331	BiT-M-R50x1
332	BiT-M-R152x2
333	resnet-18-LC_w_sh_1_iter_conv_init_m
334	resnet-18-LC_w_sh_1_iter_m
335	resnet-18-LC_w_sh_10_iter_m
336	resnet-18-LC_w_sh_100_iter_m
337	resnet-18-LC_w_sh_10_iter_conv_init_m
338	FrankRobWobv0
339	resnet18-local_aggregation
340	0.5x_resnet-18_LC
341	CORnetZ_CIFAR10
342	resnet18-deepcluster
343	resnet18-colorization
344	r3m_resnet18
345	CORnet-Z
346	resnet18-instance_recognition
347	my-model
348	vggface
349	0.5x_resnet-18_LC_w_sh_10_iter
350	r3m_resnet50
351	r3m_resnet34
352	resnet-18-LC_m
353	r3m_resnet50_nocrop
354	resnet18-supervised
355	resnet-18-LC_1st_conv_m
356	resnet-18-LC_conv_init_m
357	resnet18-contrastive_multiview
358	0.5x_resnet-18
359	RN50
360	0.5x_resnet-18_LC_w_sh_100_iter
361	RN50
362	resnet18-relative_position
363	resnet18-autoencoder
364	resnet18-simclr
365	ViT_L_32
366	ViT_B_32
367	resnet18-depth_prediction
368	ViT_B_16
369	r3m_resnet34_nocrop
370	hmax
371	resnet18-contrastive_predictive
372	omnivore_swinT
373	resnet-18-LC_untrained
374	resnet-18_untrained
375	resnet-50x2_untrained
376	dcgan
377	v1-pyr-nodown
378	unet_entire
379	CORnetZ_CIFAR10_bs32_20_04
380	pixels
381	dorinet_cornet_z
382	openclip
383	resnet50-cifar
384	resnet50_pretrained_with_retinal_waves
385	resnet50_ImageNet
386	fulltest_microblockvf_nobottleneck_freeat_nopretrain_eps2_m4
387	yudixie_resnet50_random_0_240908
388	yudixie_resnet50_imagenet1kpret_0_240908
389	yudixie_resnet50_cat_obj_class_all_latents_0_240908
390	yudixie_resnet50_object_class_0_240908
391	yudixie_resnet50_category_class_0_240908
392	resnet18_imagenet21kP
393	ConvLSTM
394	PredRNN
395	yudixie_resnet50_distance_reg_0_240908
396	SimVP
397	TAU
398	MIM
399	vit_base_patch14_reg4_dinov2-lvd142m
400	ReAlnet01_cornet
401	inception_v3_pytorch
402	yolos_tiny
403	yudixie_resnet50_imagenet1kpret_0_240312
404	yudixie_resnet18_translation_reg_0_240719
405	briaai_rmbg_1_4
406	yudixie_resnet18_distance_reg_0_240719
407	ReAlnet03_cornet
408	yudixie_resnet18_rotation_reg_0_240719
409	yudixie_resnet18_imagenet1kpret_0_240719
410	eBarlow_lmda_02_1000ep
411	compact_resnet50_V4
412	ReAlnet02_cornet
413	vit_base_patch16_dinov3-lvd1689m
414	resnet18_ecoset_full
415	resnet34_ecoset_full
416	vit_base_patch14_dinov2-lvd142m
417	VOneCORnet-S
418	resnet50_ecoset_full
419	compact_resnet50_robust_V4
420	resnet101_ecoset_full
421	ReAlnet01_cornet_fov12
422	yudixie_resnet50_distance_translation_0_240908
423	yudixie_resnet18_distance_translation_0_240719
424	ReAlnet04_cornet
425	yudixie_resnet18_translation_rotation_0_240719
426	yudixie_resnet18_category_class_0_240719
427	yudixie_resnet50_distance_rotation_0_240908
428	compact_vgg19_V4
429	compact_resnet50_IT
430	ReAlnet05_cornet
431	yudixie_resnet50_rotation_reg_0_240908
432	yudixie_resnet18_random_0_240719
433	yudixie_resnet18_cat_obj_class_all_latents_0_240719
434	resnet-18_test_m
435	ReAlnet01_cornet_fov4
436	SeLaVi-AVE
437	yudixie_resnet18_object_class_0_240719
438	yudixie_resnet50_translation_reg_0_240908
439	ReAlnet06_cornet
440	ReAlnet01_cornet_fov16
441	compact_vgg19_IT
442	r3d_18
443	yudixie_resnet50_translation_rotation_0_240908
444	mc3_18
445	ReAlnet01_ALL
446	ReAlnet07_cornet
447	s3d
448	mvit_v1_b
449	ReAlnet02_ALL
450	ReAlnet08_cornet
451	compact_cornets_V4
452	omnivore_swinB
453	ReAlnet04_ALL
454	SeLaVi-Kinetics400
455	ReAlnet09_cornet
456	SeLaVi-VGG-Sound
457	compact_cornets_IT
458	ReAlnet05_ALL
459	SeLaVi-Kinetics-Sound
460	omnivore_swinS
461	r2plus1d_18
462	mvit_v2_s
463	compact_resnet50_robust_IT
464	ReAlnet10_cornet
465	resnet152_ecoset_full
466	ReAlnet07_ALL
467	yudixie_resnet18_distance_rotation_0_240719
468	ReAlnet08_ALL
469	yudixie_resnet50_distance_translation_rotation_0_240908
470	yudixie_resnet18_distance_translation_rotation_0_240719
471	ReAlnet09_ALL
472	resnet50_primary_visual_cortex
473	ReAlnet10_ALL
474	ReAlnet03_ALL
475	ReAlnet06_ALL
476	resnet18_fair
477	pr1_stl10_disentangled_alpha04
478	predictive_coding_pc
479	yudixie_wbh_object_class_scaling_0415_run_0
480	yudixie_wbh_object_class_scaling_0415_run_3
481	yudixie_wbh_object_class_scaling_0415_imagenet
482	yudixie_wbh_object_class_scaling_0415_run_2
483	yudixie_wbh_object_class_scaling_0415_run_1
484	deepeisnn_ei_cifar10_vgg19
485	deepeisnn_ei_cifar10_resnet18
486	deepeisnn_ei_imagenet_resnet18
487	dinov2_vitl14_reg_lc_featread
488	convnext_xxlarge_clip
489	gabor_filter_entropy_4x4
490	gabor_filter_entropy_4x4_v2
491	gabor_filter_mean_abs_4x4_v2
492	gabor_filter_entropy_4x4_v2_forcedCosine

Benchmark bibtex

@article{geirhos2021partial,
              title={Partial success in closing the gap between human and machine vision},
              author={Geirhos, Robert and Narayanappa, Kantharaju and Mitzkus, Benjamin and Thieringer, Tizian and Bethge, Matthias and Wichmann, Felix A and Brendel, Wieland},
              journal={Advances in Neural Information Processing Systems},
              volume={34},
              year={2021},
              url={https://openreview.net/forum?id=QkljT4mrfs}
        }

Ceiling

0.44.

Note that scores are relative to this ceiling.

Data: Geirhos2021contrast

Metric: error_consistency