| User | Stephen_L |
| Upload Date | August 26 2024 10:25 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
2852
530.3 IPS |
|
|
Image Classification (Q)
|
99% |
2964
552.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (Q)
|
100% |
445
7.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
2186
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
23698
27.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
2612
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (Q)
|
94% |
238
19.0 IPS |
|
|
Face Detection (SP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6558
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
310
3.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
1505
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20414
157.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
19118
147.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4192
5.39 IPS |
|
|
Style Transfer (HP)
|
100% |
8430
10.8 IPS |
|
|
Style Transfer (Q)
|
100% |
9136
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1591
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4168
153.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.6 IPS |
|
|
Text Classification (HP)
|
100% |
429
572.9 IPS |
|
|
Text Classification (Q)
|
93% |
371
498.5 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
771
13.3 IPS |