iPad Pro 11-inch (2nd generation)
Geekbench AI Score
670
Single Precision Score
836
Half Precision Score
227
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
962
178.9 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.2 IPS |
|
|
Image Classification (Q)
|
96% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1912
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
306
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
3168
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4729
36.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
577
4.50 IPS |
|
|
Style Transfer (SP)
|
100% |
8912
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10835
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3186
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
101
135.1 IPS |
|
|
Text Classification (HP)
|
100% |
101
134.3 IPS |
|
|
Text Classification (Q)
|
93% |
102
137.3 IPS |
|
|
Machine Translation (SP)
|
0% |
0
6.17 IPS |
|
|
Machine Translation (HP)
|
0% |
0
5.19 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.27 IPS |
