| User | ocornielje |
| Upload Date | March 27 2025 07:13 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3669
682.4 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (Q)
|
96% |
3394
633.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5719
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5878
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5630
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24651
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26312
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25428
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (HP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (Q)
|
92% |
3362
268.4 IPS |
|
|
Face Detection (SP)
|
100% |
10329
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
11906
141.5 IPS |
|
|
Face Detection (Q)
|
100% |
10048
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16894
130.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18021
138.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
16201
126.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42780
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48733
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47315
61.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9839
363.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10186
376.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8668
320.1 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3734
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1679
29.0 IPS |