iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1261
Single Precision Score
1532
Half Precision Score
424
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:59 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
997
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (Q)
|
96% |
173
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
3177
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1930
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (HP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (Q)
|
92% |
200
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
4277
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
314
3.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
3164
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4626
35.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
575
4.49 IPS |
|
|
Style Transfer (SP)
|
100% |
8828
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10769
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3183
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.6 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.2 IPS |
|
|
Text Classification (Q)
|
93% |
99
132.3 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
98% |
497
8.59 IPS |
