| User | tesme33 |
| Upload Date | September 11 2024 06:02 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.6 IPS |
|
|
Image Classification (Q)
|
97% |
1355
252.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2438
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11490
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12261
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11059
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1874
148.6 IPS |
|
|
Object Detection (HP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (Q)
|
92% |
1481
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
5059
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
5827
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3838
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8892
68.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20951
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23143
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21494
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4616
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4846
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3824
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.4 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.0 IPS |
|
|
Text Classification (Q)
|
93% |
269
361.3 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1472
25.4 IPS |