iPad Pro 11-inch (2nd generation)
Geekbench AI Score
940
Single Precision Score
1365
Half Precision Score
1145
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
99% |
666
124.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (Q)
|
100% |
602
9.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
2597
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2344
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2197
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
92% |
671
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (Q)
|
100% |
1277
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1336
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2383
18.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
967
7.47 IPS |
|
|
Style Transfer (SP)
|
100% |
4919
6.32 IPS |
|
|
Style Transfer (HP)
|
100% |
7681
9.87 IPS |
|
|
Style Transfer (Q)
|
100% |
7674
9.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1192
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1134
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.7 IPS |
|
|
Text Classification (HP)
|
99% |
561
748.8 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.8 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1099
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1097
19.0 IPS |
