iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1556
Half Precision Score
1345
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 12:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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
92.0 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (Q)
|
96% |
625
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2606
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2136
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1474
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2676
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2217
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5098
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
7862
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7092
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1170
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.4 IPS |
|
|
Text Classification (HP)
|
100% |
556
741.5 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.3 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
