iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
717
Single Precision Score
2465
Half Precision Score
442
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sw0000 |
| Upload Date | January 26 2025 10:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
2285
425.0 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2251
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
27644
32.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
1548
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (Q)
|
94% |
208
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6522
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1059
8.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
22672
174.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3572
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3515
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2162
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
499
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.2 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.5 IPS |
|
|
Text Classification (Q)
|
93% |
301
404.6 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
379
6.55 IPS |
