iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
706
Single Precision Score
2490
Half Precision Score
443
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 09:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,7 |
| Motherboard | J321AP |
| 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% |
344
64.0 IPS |
|
|
Image Classification (HP)
|
100% |
2425
451.1 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
27906
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
1514
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
789
9.37 IPS |
|
|
Face Detection (HP)
|
100% |
6803
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
283
3.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
1080
8.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
25891
199.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
621
4.85 IPS |
|
|
Style Transfer (SP)
|
100% |
3377
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3381
4.35 IPS |
|
|
Style Transfer (Q)
|
96% |
2469
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3511
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
508
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.3 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.5 IPS |
|
|
Text Classification (Q)
|
93% |
304
407.6 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.54 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.50 IPS |
