iPad Pro 11-inch (2nd generation)
Geekbench AI Score
791
Single Precision Score
2583
Half Precision Score
473
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | December 31 2025 07:34 PM |
| Views | 5 |
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% |
389
72.4 IPS |
|
|
Image Classification (HP)
|
100% |
2456
456.7 IPS |
|
|
Image Classification (Q)
|
99% |
181
33.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
250
4.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
29892
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1723
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (Q)
|
94% |
227
18.1 IPS |
|
|
Face Detection (SP)
|
100% |
991
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6791
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
327
3.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1262
9.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
23524
181.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
694
5.42 IPS |
|
|
Style Transfer (SP)
|
100% |
3247
4.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3182
4.09 IPS |
|
|
Style Transfer (Q)
|
96% |
2055
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3511
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
499
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.2 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.4 IPS |
|
|
Text Classification (Q)
|
93% |
312
419.0 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
98% |
440
7.61 IPS |
