iPad Pro 11-inch (2nd generation)
Geekbench AI Score
802
Single Precision Score
2512
Half Precision Score
472
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:15 AM |
| Views | 7 |
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% |
392
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (Q)
|
99% |
171
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2634
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
27236
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1750
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (HP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (Q)
|
94% |
217
17.3 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6838
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
313
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1199
9.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
23248
179.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
668
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
3883
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3819
4.91 IPS |
|
|
Style Transfer (Q)
|
96% |
2689
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3252
120.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
473
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
260
346.9 IPS |
|
|
Text Classification (HP)
|
100% |
297
395.9 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.6 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.73 IPS |
