Upload Date | December 21 2023 10:17 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.7.4 |
Model | iPhone 8 |
Model ID | iPhone10,1 |
Motherboard | D20AP |
CPU Information | |
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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 | 1.93 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
209
39.1 IPS |
|
Image Classification (F16)
|
100% |
142
26.6 IPS |
|
Image Classification (I8)
|
99% |
142
26.5 IPS |
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
Image Segmentation (F16)
|
100% |
200
3.35 IPS |
|
Image Segmentation (I8)
|
100% |
198
3.30 IPS |
|
Pose Estimation (F32)
|
100% |
2383
2.89 IPS |
|
Pose Estimation (F16)
|
100% |
2718
3.29 IPS |
|
Pose Estimation (I8)
|
100% |
2650
3.21 IPS |
|
Object Detection (F32)
|
100% |
307
22.9 IPS |
|
Object Detection (F16)
|
100% |
304
22.7 IPS |
|
Object Detection (I8)
|
97% |
283
21.1 IPS |
|
Face Detection (F32)
|
100% |
941
11.2 IPS |
|
Face Detection (F16)
|
100% |
922
11.0 IPS |
|
Face Detection (I8)
|
99% |
968
11.5 IPS |
|
Depth Estimation (F32)
|
100% |
2343
18.2 IPS |
|
Depth Estimation (F16)
|
100% |
2620
20.3 IPS |
|
Depth Estimation (I8)
|
99% |
2517
19.5 IPS |
|
Style Transfer (F32)
|
100% |
4465
5.87 IPS |
|
Style Transfer (F16)
|
100% |
4627
6.09 IPS |
|
Style Transfer (I8)
|
100% |
4652
6.12 IPS |
|
Image Super-Resolution (F32)
|
100% |
1064
38.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
1327
47.4 IPS |
|
Image Super-Resolution (I8)
|
100% |
1263
45.1 IPS |
|
Text Classification (F32)
|
100% |
49
70.3 IPS |
|
Text Classification (F16)
|
100% |
197
282.6 IPS |
|
Text Classification (I8)
|
96% |
199
285.8 IPS |
|
Machine Translation (F32)
|
100% |
290
5.34 IPS |
|
Machine Translation (F16)
|
100% |
219
4.03 IPS |
|
Machine Translation (I8)
|
99% |
252
4.64 IPS |