iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1354
Single Precision Score
1680
Half Precision Score
441
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 12:31 AM |
| 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% |
958
178.2 IPS |
|
|
Image Classification (HP)
|
100% |
1263
234.9 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
3178
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1818
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (HP)
|
100% |
1322
104.9 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
4315
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3197
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4776
36.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
563
4.40 IPS |
|
|
Style Transfer (SP)
|
100% |
8838
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10756
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3018
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2252
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
402
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.9 IPS |
|
|
Text Classification (HP)
|
100% |
264
351.9 IPS |
|
|
Text Classification (Q)
|
93% |
264
354.8 IPS |
|
|
Machine Translation (SP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (Q)
|
98% |
468
8.08 IPS |
