iPad Pro 11-inch (2nd generation)
Geekbench AI Score
801
Single Precision Score
2503
Half Precision Score
471
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 09:00 AM |
| Views | 6 |
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% |
400
74.5 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.8 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2647
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
27235
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1749
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
1628
129.1 IPS |
|
|
Object Detection (Q)
|
94% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1210
9.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
23110
178.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
670
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3853
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3842
4.94 IPS |
|
|
Style Transfer (Q)
|
96% |
2697
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3251
120.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
477
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
259
346.1 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.0 IPS |
|
|
Text Classification (Q)
|
93% |
296
396.7 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
98% |
446
7.71 IPS |
