iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1072
Single Precision Score
1640
Half Precision Score
1416
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:03 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
822
152.9 IPS |
|
|
Image Classification (Q)
|
96% |
624
116.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1024
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2351
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2228
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1486
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1740
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2745
21.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2221
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5047
6.49 IPS |
|
|
Style Transfer (HP)
|
100% |
7904
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7107
9.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1192
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.8 IPS |
|
|
Text Classification (HP)
|
99% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
93% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1249
21.6 IPS |
