iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
421
Single Precision Score
686
Half Precision Score
632
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:31 PM |
| 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 12.9-inch (4th generation) |
| Model ID | iPad8,11 |
| Motherboard | J420AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.4 IPS |
|
|
Image Classification (Q)
|
96% |
341
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
473
7.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
726
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
99% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
92% |
361
28.8 IPS |
|
|
Face Detection (SP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (Q)
|
100% |
842
10.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.88 IPS |
|
|
Depth Estimation (HP)
|
98% |
1102
8.51 IPS |
|
|
Depth Estimation (Q)
|
85% |
973
7.61 IPS |
|
|
Style Transfer (SP)
|
100% |
1543
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2430
3.12 IPS |
|
|
Style Transfer (Q)
|
96% |
2444
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
510
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.9 IPS |
|
|
Text Classification (HP)
|
99% |
351
468.4 IPS |
|
|
Text Classification (Q)
|
93% |
346
464.9 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (HP)
|
98% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
684
11.8 IPS |
