iPad Pro 11-inch (2nd generation)
Geekbench AI Score
797
Single Precision Score
2495
Half Precision Score
471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
388
72.2 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2652
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
27251
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1753
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
1638
130.0 IPS |
|
|
Object Detection (Q)
|
94% |
207
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1203
9.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
23134
178.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
669
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3857
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3830
4.92 IPS |
|
|
Style Transfer (Q)
|
96% |
2694
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3256
120.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
479
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.6 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.1 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.2 IPS |
|
|
Machine Translation (SP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.73 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.72 IPS |
