Upload Date | August 25 2024 07:19 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 | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
175
32.8 IPS |
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
Image Classification (I8)
|
99% |
141
26.4 IPS |
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
Image Segmentation (F16)
|
100% |
202
3.37 IPS |
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
Pose Estimation (F32)
|
100% |
2293
2.78 IPS |
|
Pose Estimation (F16)
|
100% |
2561
3.10 IPS |
|
Pose Estimation (I8)
|
100% |
2629
3.18 IPS |
|
Object Detection (F32)
|
100% |
337
25.1 IPS |
|
Object Detection (F16)
|
100% |
297
22.2 IPS |
|
Object Detection (I8)
|
97% |
370
27.6 IPS |
|
Face Detection (F32)
|
100% |
1011
12.0 IPS |
|
Face Detection (F16)
|
100% |
1004
11.9 IPS |
|
Face Detection (I8)
|
99% |
1013
12.0 IPS |
|
Depth Estimation (F32)
|
100% |
2232
17.3 IPS |
|
Depth Estimation (F16)
|
100% |
2351
18.2 IPS |
|
Depth Estimation (I8)
|
99% |
2278
17.7 IPS |
|
Style Transfer (F32)
|
100% |
4622
6.08 IPS |
|
Style Transfer (F16)
|
100% |
4854
6.39 IPS |
|
Style Transfer (I8)
|
100% |
4834
6.36 IPS |
|
Image Super-Resolution (F32)
|
100% |
978
34.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
964
34.4 IPS |
|
Image Super-Resolution (I8)
|
100% |
1148
41.0 IPS |
|
Text Classification (F32)
|
100% |
48
68.3 IPS |
|
Text Classification (F16)
|
100% |
199
285.3 IPS |
|
Text Classification (I8)
|
96% |
202
290.7 IPS |
|
Machine Translation (F32)
|
100% |
317
5.82 IPS |
|
Machine Translation (F16)
|
100% |
248
4.56 IPS |
|
Machine Translation (I8)
|
99% |
315
5.79 IPS |