Upload Date | August 22 2024 06:12 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.7.8 |
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% |
178
33.3 IPS |
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
Pose Estimation (F32)
|
100% |
2255
2.73 IPS |
|
Pose Estimation (F16)
|
100% |
2746
3.32 IPS |
|
Pose Estimation (I8)
|
100% |
2524
3.06 IPS |
|
Object Detection (F32)
|
100% |
347
25.9 IPS |
|
Object Detection (F16)
|
100% |
346
25.8 IPS |
|
Object Detection (I8)
|
97% |
303
22.6 IPS |
|
Face Detection (F32)
|
100% |
932
11.1 IPS |
|
Face Detection (F16)
|
100% |
964
11.5 IPS |
|
Face Detection (I8)
|
99% |
985
11.7 IPS |
|
Depth Estimation (F32)
|
100% |
2509
19.5 IPS |
|
Depth Estimation (F16)
|
100% |
2794
21.7 IPS |
|
Depth Estimation (I8)
|
99% |
2335
18.1 IPS |
|
Style Transfer (F32)
|
100% |
4715
6.20 IPS |
|
Style Transfer (F16)
|
100% |
4924
6.48 IPS |
|
Style Transfer (I8)
|
100% |
4921
6.47 IPS |
|
Image Super-Resolution (F32)
|
100% |
1125
40.2 IPS |
|
Image Super-Resolution (F16)
|
100% |
997
35.6 IPS |
|
Image Super-Resolution (I8)
|
100% |
1148
41.0 IPS |
|
Text Classification (F32)
|
100% |
50
71.3 IPS |
|
Text Classification (F16)
|
100% |
201
288.6 IPS |
|
Text Classification (I8)
|
96% |
197
282.5 IPS |
|
Machine Translation (F32)
|
100% |
313
5.76 IPS |
|
Machine Translation (F16)
|
100% |
246
4.52 IPS |
|
Machine Translation (I8)
|
99% |
296
5.45 IPS |