iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1350
Single Precision Score
1681
Half Precision Score
440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 11:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
956
177.9 IPS |
|
|
Image Classification (HP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1830
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (Q)
|
92% |
180
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3178
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4801
37.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
8816
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10757
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3066
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2283
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.2 IPS |
|
|
Text Classification (HP)
|
100% |
259
346.3 IPS |
|
|
Text Classification (Q)
|
93% |
264
354.7 IPS |
|
|
Machine Translation (SP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (Q)
|
98% |
465
8.04 IPS |
