iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1025
Single Precision Score
1558
Half Precision Score
1341
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:18 PM |
| Views | 12 |
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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (Q)
|
96% |
634
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1030
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2613
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2046
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
949
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
762
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (Q)
|
100% |
1482
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2670
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2217
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5195
6.68 IPS |
|
|
Style Transfer (HP)
|
100% |
7902
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7087
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1250
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1165
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.1 IPS |
|
|
Text Classification (HP)
|
99% |
550
733.7 IPS |
|
|
Text Classification (Q)
|
93% |
547
734.2 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
