iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1020
Single Precision Score
1552
Half Precision Score
1333
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 06:05 PM |
| Views | 3 |
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% |
492
91.5 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.2 IPS |
|
|
Image Classification (Q)
|
96% |
622
116.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1018
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2577
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2318
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1978
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
951
75.4 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1258
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1476
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1754
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2668
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2204
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5090
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
7869
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7083
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1169
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.8 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.0 IPS |
|
|
Text Classification (Q)
|
93% |
551
739.7 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1261
21.8 IPS |
