iPad Pro 11-inch (2nd generation)
Geekbench AI Score
803
Single Precision Score
2511
Half Precision Score
470
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 02:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
399
74.2 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.3 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
27295
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1751
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
1661
131.7 IPS |
|
|
Object Detection (Q)
|
94% |
211
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6644
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1205
9.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
23337
179.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
669
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3859
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3829
4.92 IPS |
|
|
Style Transfer (Q)
|
96% |
2693
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3257
120.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
472
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.7 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.3 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.4 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.73 IPS |
