iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1552
Half Precision Score
1409
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
489
90.9 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.6 IPS |
|
|
Image Classification (Q)
|
99% |
797
148.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
984
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2612
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2111
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1474
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1762
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2662
20.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
2664
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5204
6.69 IPS |
|
|
Style Transfer (HP)
|
100% |
7890
10.1 IPS |
|
|
Style Transfer (Q)
|
100% |
7887
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1150
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.1 IPS |
|
|
Text Classification (HP)
|
99% |
552
736.3 IPS |
|
|
Text Classification (Q)
|
93% |
550
737.5 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1256
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
