iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1022
Single Precision Score
1568
Half Precision Score
1358
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:27 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% |
499
92.8 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
96% |
658
123.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1035
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2316
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2185
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
92% |
762
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1488
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1736
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2717
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2211
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5216
6.71 IPS |
|
|
Style Transfer (HP)
|
100% |
7933
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7102
9.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1212
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1173
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
285
381.0 IPS |
|
|
Text Classification (HP)
|
99% |
552
736.8 IPS |
|
|
Text Classification (Q)
|
93% |
549
736.3 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1255
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
