| User | M91 |
| Upload Date | October 16 2025 02:18 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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 | 5.57 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
959
178.4 IPS |
|
|
Image Classification (HP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (Q)
|
96% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4601
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1899
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
1018
80.8 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
307
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
3150
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4736
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
577
4.50 IPS |
|
|
Style Transfer (SP)
|
100% |
8900
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10825
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3101
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2267
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.2 IPS |
|
|
Text Classification (HP)
|
100% |
107
142.9 IPS |
|
|
Text Classification (Q)
|
93% |
105
140.3 IPS |
|
|
Machine Translation (SP)
|
0% |
0
6.09 IPS |
|
|
Machine Translation (HP)
|
0% |
0
5.19 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.06 IPS |