iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1021
Single Precision Score
1548
Half Precision Score
1343
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:05 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
482
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
788
146.6 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2667
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
2120
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
99% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1487
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1763
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2652
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2203
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5111
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
7888
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7043
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1250
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1168
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.0 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.5 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.4 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
