iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1559
Half Precision Score
1352
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 21 2024 12:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
499
92.7 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.4 IPS |
|
|
Image Classification (Q)
|
96% |
647
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1018
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2584
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
2103
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (HP)
|
99% |
984
78.1 IPS |
|
|
Object Detection (Q)
|
92% |
776
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2385
28.3 IPS |
|
|
Face Detection (Q)
|
100% |
1511
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1751
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2675
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2227
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4981
6.40 IPS |
|
|
Style Transfer (HP)
|
100% |
7760
9.98 IPS |
|
|
Style Transfer (Q)
|
96% |
7058
9.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1158
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.7 IPS |
|
|
Text Classification (HP)
|
99% |
549
733.4 IPS |
|
|
Text Classification (Q)
|
93% |
549
736.3 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1248
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
