iPad Pro 11-inch (2nd generation)
Geekbench AI Score
711
Single Precision Score
2358
Half Precision Score
434
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 12:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (Q)
|
99% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2180
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27360
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1518
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (Q)
|
94% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6423
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1043
8.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
23259
179.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
598
4.67 IPS |
|
|
Style Transfer (SP)
|
100% |
3545
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3512
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2536
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3244
119.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
480
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.8 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.3 IPS |
|
|
Text Classification (Q)
|
93% |
295
395.6 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.47 IPS |
