iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1072
Single Precision Score
1629
Half Precision Score
1417
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:57 AM |
| Views | 4 |
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% |
494
91.9 IPS |
|
|
Image Classification (HP)
|
100% |
817
151.9 IPS |
|
|
Image Classification (Q)
|
96% |
632
117.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2560
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2324
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2224
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1488
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1766
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2661
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2227
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4998
6.43 IPS |
|
|
Style Transfer (HP)
|
100% |
7925
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7075
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1167
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.9 IPS |
|
|
Text Classification (HP)
|
99% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
92% |
870
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
