Upload Date | September 26 2022 12:33 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 12 |
Model | HONOR LGE-NX9 |
Model ID | HONOR LGE-NX9 |
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 | 6.93 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
327
35.1 IPS |
|
Image Classification (F16)
|
100% |
314
33.7 IPS |
|
Image Classification (I8)
|
81% |
196
21.0 IPS |
|
Image Segmentation (F32)
|
100% |
574
3.55 IPS |
|
Image Segmentation (F16)
|
100% |
571
3.53 IPS |
|
Image Segmentation (I8)
|
89% |
751
4.64 IPS |
|
Pose Estimation (F32)
|
100% |
264
1.07 IPS |
|
Pose Estimation (F16)
|
100% |
265
1.07 IPS |
|
Pose Estimation (I8)
|
80% |
198
0.80 IPS |
|
Object Detection (F32)
|
100% |
375
13.2 IPS |
|
Object Detection (F16)
|
100% |
389
13.6 IPS |
|
Object Detection (I8)
|
52% |
283
9.94 IPS |
|
Face Detection (F32)
|
100% |
607
6.97 IPS |
|
Face Detection (F16)
|
100% |
611
7.02 IPS |
|
Face Detection (I8)
|
75% |
496
5.70 IPS |
|
Text Classification (F32)
|
100% |
293
115.8 IPS |
|
Text Classification (F16)
|
100% |
294
116.4 IPS |
|
Machine Translation (F32)
|
100% |
752
116.0 IPS |
|
Machine Translation (F16)
|
100% |
752
115.9 IPS |