iPad Pro 11-inch (2nd generation)
Geekbench AI Score
800
Single Precision Score
2514
Half Precision Score
471
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.5 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2540
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
27265
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1682
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (Q)
|
94% |
206
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6719
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1210
9.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
23249
179.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
672
5.25 IPS |
|
|
Style Transfer (SP)
|
100% |
3794
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3755
4.83 IPS |
|
|
Style Transfer (Q)
|
96% |
2652
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3244
119.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
495
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.6 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.5 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.5 IPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
98% |
453
7.83 IPS |
