iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1548
Half Precision Score
1339
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1010
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2666
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2108
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
945
75.0 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1767
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2678
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2207
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5098
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
7853
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7072
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1160
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.3 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.9 IPS |
|
|
Text Classification (Q)
|
93% |
549
737.1 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
