iPad Pro 11-inch (2nd generation)
Geekbench AI Score
705
Single Precision Score
2384
Half Precision Score
429
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
322
59.9 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.1 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27422
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
1517
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (Q)
|
94% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
6439
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1049
8.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
23323
179.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
595
4.65 IPS |
|
|
Style Transfer (SP)
|
100% |
3558
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3521
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2216
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3239
119.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
463
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.5 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.5 IPS |
|
|
Text Classification (Q)
|
93% |
295
395.5 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.46 IPS |
