Upload Date | August 31 2024 12:40 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.7.10 |
Model | iPhone 8 |
Model ID | iPhone10,1 |
Motherboard | D20AP |
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 | 1.93 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
183
34.2 IPS |
|
Image Classification (F16)
|
100% |
154
28.9 IPS |
|
Image Classification (I8)
|
99% |
152
28.4 IPS |
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
Pose Estimation (F32)
|
100% |
2376
2.88 IPS |
|
Pose Estimation (F16)
|
100% |
2676
3.24 IPS |
|
Pose Estimation (I8)
|
100% |
2564
3.11 IPS |
|
Object Detection (F32)
|
100% |
272
20.3 IPS |
|
Object Detection (F16)
|
100% |
320
23.9 IPS |
|
Object Detection (I8)
|
97% |
306
22.8 IPS |
|
Face Detection (F32)
|
100% |
986
11.7 IPS |
|
Face Detection (F16)
|
100% |
908
10.8 IPS |
|
Face Detection (I8)
|
99% |
966
11.5 IPS |
|
Depth Estimation (F32)
|
100% |
2300
17.8 IPS |
|
Depth Estimation (F16)
|
100% |
2280
17.7 IPS |
|
Depth Estimation (I8)
|
99% |
2401
18.6 IPS |
|
Style Transfer (F32)
|
100% |
4394
5.78 IPS |
|
Style Transfer (F16)
|
100% |
4951
6.51 IPS |
|
Style Transfer (I8)
|
100% |
4933
6.49 IPS |
|
Image Super-Resolution (F32)
|
100% |
1009
36.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
1136
40.6 IPS |
|
Image Super-Resolution (I8)
|
100% |
1053
37.6 IPS |
|
Text Classification (F32)
|
100% |
47
68.2 IPS |
|
Text Classification (F16)
|
100% |
200
287.3 IPS |
|
Text Classification (I8)
|
96% |
199
286.0 IPS |
|
Machine Translation (F32)
|
100% |
316
5.81 IPS |
|
Machine Translation (F16)
|
100% |
234
4.30 IPS |
|
Machine Translation (I8)
|
99% |
297
5.47 IPS |