Upload Date | September 26 2022 12:47 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 13 |
Model | OPPO CPH2305 |
Model ID | OPPO CPH2305 |
Motherboard | taro |
Governor | walt |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
Base Frequency | 1.78 GHz |
Cluster 1 | 4 Cores @ 1.79 GHz |
Cluster 2 | 3 Cores @ 2.50 GHz |
Cluster 3 | 1 Core @ 3.00 GHz |
Memory Information | |
---|---|
Size | 10.92 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
371
39.8 IPS |
|
Image Classification (F16)
|
100% |
371
39.8 IPS |
|
Image Classification (I8)
|
81% |
478
51.2 IPS |
|
Image Segmentation (F32)
|
100% |
617
3.81 IPS |
|
Image Segmentation (F16)
|
100% |
548
3.38 IPS |
|
Image Segmentation (I8)
|
89% |
875
5.40 IPS |
|
Pose Estimation (F32)
|
100% |
225
0.91 IPS |
|
Pose Estimation (F16)
|
100% |
223
0.90 IPS |
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
Object Detection (F32)
|
100% |
525
18.4 IPS |
|
Object Detection (F16)
|
100% |
88
3.07 IPS |
|
Object Detection (I8)
|
52% |
534
18.7 IPS |
|
Face Detection (F32)
|
100% |
200
2.30 IPS |
|
Face Detection (F16)
|
100% |
221
2.54 IPS |
|
Face Detection (I8)
|
75% |
651
7.48 IPS |
|
Text Classification (F32)
|
100% |
1221
483.0 IPS |
|
Text Classification (F16)
|
100% |
1229
486.3 IPS |
|
Machine Translation (F32)
|
100% |
1051
162.0 IPS |
|
Machine Translation (F16)
|
100% |
1052
162.1 IPS |