iPad Pro 11-inch (2nd generation)
Geekbench AI Score
804
Single Precision Score
2525
Half Precision Score
472
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 22 2025 02:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
2386
443.7 IPS |
|
|
Image Classification (Q)
|
99% |
177
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
2641
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
27265
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1750
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
1636
129.8 IPS |
|
|
Object Detection (Q)
|
94% |
205
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6680
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1211
9.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
23183
178.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
668
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
3860
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3833
4.93 IPS |
|
|
Style Transfer (Q)
|
96% |
2696
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3257
120.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
483
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
261
347.7 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.5 IPS |
|
|
Text Classification (Q)
|
93% |
296
396.9 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.73 IPS |
