| User | 2muchpower |
| Upload Date | March 07 2025 11:35 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (HP)
|
100% |
2703
502.7 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
356
5.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
3408
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
28743
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3548
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6953
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
424
5.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
2041
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23419
180.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1077
8.42 IPS |
|
|
Style Transfer (SP)
|
100% |
5543
7.13 IPS |
|
|
Style Transfer (HP)
|
100% |
10851
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4724
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4405
162.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
644
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.0 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.9 IPS |
|
|
Text Classification (Q)
|
93% |
452
606.2 IPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1094
18.9 IPS |