| User | Pijiuhua | 
| Upload Date | October 21 2025 02:17 AM | 
| Views | 9 | 
| AI Information | |
|---|---|
| Framework | Core ML | 
| Backend | GPU | 
| Device | Apple A12X Bionic | 
| System Information | |
|---|---|
| Operating System | iOS 26.1 | 
| 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 | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
886
 164.7 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
1250
 232.4 IPS  | 
|
| 
Image Classification (Q)
 | 
96% | 
160
 29.9 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
358
 5.80 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
373
 6.05 IPS  | 
|
| 
Image Segmentation (Q)
 | 
99% | 
226
 3.67 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
2817
 3.29 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
4000
 4.67 IPS  | 
|
| 
Pose Estimation (Q)
 | 
96% | 
1746
 2.04 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
909
 72.1 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
1214
 96.3 IPS  | 
|
| 
Object Detection (Q)
 | 
92% | 
183
 14.6 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
3387
 40.3 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
3887
 46.2 IPS  | 
|
| 
Face Detection (Q)
 | 
100% | 
295
 3.51 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
2929
 22.6 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
4117
 31.7 IPS  | 
|
| 
Depth Estimation (Q)
 | 
86% | 
539
 4.21 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
7855
 10.1 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
9741
 12.5 IPS  | 
|
| 
Style Transfer (Q)
 | 
96% | 
2975
 3.84 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
1389
 51.3 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
1785
 65.9 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
395
 14.6 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
101
 134.3 IPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
101
 135.2 IPS  | 
|
| 
Text Classification (Q)
 | 
93% | 
103
 138.0 IPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
527
 9.07 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
494
 8.50 IPS  | 
|
| 
Machine Translation (Q)
 | 
98% | 
472
 8.16 IPS  |