iPad Pro 11-inch (2nd generation)
Geekbench AI Score
714
Single Precision Score
2441
Half Precision Score
446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 08:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2229
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27321
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1540
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (Q)
|
94% |
201
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6496
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1053
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
23305
179.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
603
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3567
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3510
4.51 IPS |
|
|
Style Transfer (Q)
|
96% |
2545
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
496
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.8 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.6 IPS |
|
|
Text Classification (Q)
|
93% |
302
405.0 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
98% |
383
6.61 IPS |
