Upload Date | August 08 2023 10:22 AM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 13 |
Model | OPPO CPH2531 |
Model ID | OPPO CPH2531 |
Motherboard | k6877v1_64_k419 |
CPU Information | |
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Name | ARM MT6877V/TTZA |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.60 GHz |
Memory Information | |
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Size | 7.36 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
239
25.6 IPS |
|
Image Classification (F16)
|
100% |
59
6.28 IPS |
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
Image Segmentation (F32)
|
100% |
228
1.41 IPS |
|
Image Segmentation (F16)
|
100% |
223
1.38 IPS |
|
Image Segmentation (I8)
|
89% |
663
4.10 IPS |
|
Pose Estimation (F32)
|
100% |
160
0.65 IPS |
|
Pose Estimation (F16)
|
100% |
162
0.66 IPS |
|
Pose Estimation (I8)
|
80% |
177
0.72 IPS |
|
Object Detection (F32)
|
100% |
77
2.69 IPS |
|
Object Detection (F16)
|
100% |
76
2.67 IPS |
|
Object Detection (I8)
|
52% |
304
10.7 IPS |
|
Face Detection (F32)
|
100% |
186
2.14 IPS |
|
Face Detection (F16)
|
100% |
180
2.07 IPS |
|
Face Detection (I8)
|
75% |
439
5.05 IPS |
|
Text Classification (F32)
|
100% |
314
124.3 IPS |
|
Text Classification (F16)
|
100% |
321
126.8 IPS |
|
Machine Translation (F32)
|
100% |
306
47.2 IPS |
|
Machine Translation (F16)
|
100% |
313
48.3 IPS |