iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1350
Single Precision Score
1680
Half Precision Score
441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 01:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
975
181.3 IPS |
|
|
Image Classification (HP)
|
100% |
1341
249.3 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4591
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1853
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
3183
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4719
36.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8884
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10798
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3057
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
209
279.2 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.0 IPS |
|
|
Text Classification (Q)
|
93% |
263
352.9 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (Q)
|
98% |
482
8.33 IPS |
