Sample stimuli

sample 0 sample 1 sample 2 sample 3 sample 4 sample 5 sample 6 sample 7 sample 8 sample 9

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Geirhos2021powerequalisation-top1")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.979
2
.970
3
.968
4
.964
5
.964
6
.963
7
.963
8
.959
9
.959
10
.948
11
.945
12
.943
13
.943
14
.939
15
.938
16
.936
17
.934
18
.934
19
.929
20
.927
21
.923
22
.914
23
.911
24
.911
25
.909
26
.907
27
.905
28
.905
29
.902
30
.902
31
.900
32
.896
33
.896
34
.893
35
.891
36
.875
37
.875
38
.871
39
.868
40
.864
41
.863
42
.854
43
.850
44
.850
45
.845
46
.841
47
.841
48
.836
49
.834
50
.834
51
.832
52
.832
53
.832
54
.830
55
.825
56
.823
57
.823
58
.823
59
.820
60
.814
61
.812
62
.812
63
.807
64
.807
65
.807
66
.804
67
.804
68
.804
69
.804
70
.802
71
.800
72
.798
73
.798
74
.796
75
.796
76
.796
77
.793
78
.793
79
.793
80
.791
81
.787
82
.786
83
.786
84
.786
85
.780
86
.780
87
.780
88
.777
89
.775
90
.775
91
.773
92
.773
93
.770
94
.766
95
.766
96
.766
97
.766
98
.757
99
.755
100
.755
101
.754
102
.752
103
.743
104
.738
105
.736
106
.732
107
.732
108
.732
109
.732
110
.730
111
.730
112
.730
113
.729
114
.727
115
.725
116
.720
117
.720
118
.720
119
.718
120
.716
121
.711
122
.709
123
.709
124
.707
125
.707
126
.704
127
.698
128
.698
129
.696
130
.696
131
.696
132
.695
133
.691
134
.691
135
.691
136
.686
137
.684
138
.682
139
.679
140
.679
141
.679
142
.673
143
.671
144
.670
145
.664
146
.661
147
.657
148
.657
149
.652
150
.652
151
.648
152
.648
153
.645
154
.641
155
.639
156
.637
157
.637
158
.637
159
.636
160
.632
161
.632
162
.630
163
.630
164
.627
165
.627
166
.625
167
.625
168
.625
169
.623
170
.621
171
.621
172
.620
173
.616
174
.613
175
.611
176
.609
177
.609
178
.609
179
.609
180
.609
181
.605
182
.604
183
.598
184
.598
185
.596
186
.596
187
.596
188
.586
189
.571
190
.570
191
.570
192
.559
193
.554
194
.554
195
.552
196
.548
197
.541
198
.539
199
.539
200
.537
201
.537
202
.536
203
.532
204
.532
205
.532
206
.532
207
.530
208
.523
209
.521
210
.505
211
.505
212
.505
213
.505
214
.505
215
.505
216
.505
217
.505
218
.505
219
.504
220
.498
221
.498
222
.498
223
.496
224
.495
225
.495
226
.491
227
.484
228
.482
229
.461
230
.457
231
.457
232
.454
233
.445
234
.425
235
.412
236
.409
237
.396
238
.366
239
.366
240
.362
241
.354
242
.339
243
.327
244
.316
245
.296
246
.284
247
.282
248
.279
249
.266
250
.084
251
.077
252
.075
253
.073
254
.073
255
.066
256
.066
257
.064
258
.064
259
.064
260
.062
261
.062
262
.062
263
.062
264
.062
265
.062
266
.062
267
.062
268
.062
269
.062
270
.062
271
.059
272
.057
273
.057
274
.052
275
.048
276
.048
277
.039
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417

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

1.00.

Note that scores are relative to this ceiling.

Data: Geirhos2021powerequalisation

Metric: top1