Upload Date | August 25 2024 07:14 PM |
Views | 3 |
System Information | |
---|---|
Operating System | iOS 16.7.4 |
Model | iPhone 8 Plus |
Model ID | iPhone10,5 |
Motherboard | D211AP |
CPU Information | |
---|---|
Name | Apple A11 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.39 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 48.0 KB x 1 |
L1 Data Cache | 32.0 KB x 1 |
L2 Cache | 8.00 MB x 1 |
Memory Information | |
---|---|
Size | 2.90 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
179
33.5 IPS |
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
Image Classification (I8)
|
99% |
141
26.5 IPS |
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
Pose Estimation (F32)
|
100% |
2250
2.72 IPS |
|
Pose Estimation (F16)
|
100% |
2666
3.23 IPS |
|
Pose Estimation (I8)
|
100% |
2610
3.16 IPS |
|
Object Detection (F32)
|
100% |
319
23.8 IPS |
|
Object Detection (F16)
|
100% |
289
21.6 IPS |
|
Object Detection (I8)
|
97% |
259
19.4 IPS |
|
Face Detection (F32)
|
100% |
888
10.6 IPS |
|
Face Detection (F16)
|
100% |
1016
12.1 IPS |
|
Face Detection (I8)
|
99% |
975
11.6 IPS |
|
Depth Estimation (F32)
|
100% |
2406
18.7 IPS |
|
Depth Estimation (F16)
|
100% |
2251
17.5 IPS |
|
Depth Estimation (I8)
|
99% |
2326
18.0 IPS |
|
Style Transfer (F32)
|
100% |
4638
6.10 IPS |
|
Style Transfer (F16)
|
100% |
4834
6.36 IPS |
|
Style Transfer (I8)
|
100% |
4997
6.57 IPS |
|
Image Super-Resolution (F32)
|
100% |
1138
40.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
1090
38.9 IPS |
|
Image Super-Resolution (I8)
|
100% |
1274
45.5 IPS |
|
Text Classification (F32)
|
100% |
49
70.1 IPS |
|
Text Classification (F16)
|
100% |
198
285.1 IPS |
|
Text Classification (I8)
|
96% |
198
284.2 IPS |
|
Machine Translation (F32)
|
100% |
313
5.77 IPS |
|
Machine Translation (F16)
|
100% |
248
4.57 IPS |
|
Machine Translation (I8)
|
99% |
315
5.79 IPS |