iPad Pro 11-inch (2nd generation)
Geekbench AI Score
798
Single Precision Score
2492
Half Precision Score
464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
385
71.6 IPS |
|
|
Image Classification (HP)
|
100% |
2173
404.2 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
27276
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1742
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6696
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1215
9.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
22916
176.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
670
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3851
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3833
4.93 IPS |
|
|
Style Transfer (Q)
|
96% |
2499
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1120
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3205
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
477
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
261
349.0 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.7 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.1 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.72 IPS |
