Upload Date | July 16 2022 03:31 PM |
Views | 2 |
System Information | |
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Operating System | Android 12 |
Model | Samsung Galaxy Note10 Lite |
Model ID | samsung SM-N770F |
Motherboard | exynos9810 |
Governor | schedutil |
CPU Information | |
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Name | ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 83 architecture 8 variant 1 part 2 revision 0 |
Base Frequency | 1.79 GHz |
Cluster 1 | 4 Cores @ 1.79 GHz |
Cluster 2 | 4 Cores @ 2.70 GHz |
Memory Information | |
---|---|
Size | 5.45 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
361
38.7 IPS |
|
Image Classification (F16)
|
100% |
591
63.4 IPS |
|
Image Classification (I8)
|
81% |
540
57.9 IPS |
|
Image Segmentation (F32)
|
100% |
794
4.90 IPS |
|
Image Segmentation (F16)
|
100% |
1765
10.9 IPS |
|
Image Segmentation (I8)
|
89% |
1599
9.88 IPS |
|
Pose Estimation (F32)
|
100% |
186
0.75 IPS |
|
Pose Estimation (F16)
|
0% |
598
2.42 IPS |
|
Pose Estimation (I8)
|
0% |
604
2.44 IPS |
|
Object Detection (F32)
|
100% |
207
7.28 IPS |
|
Object Detection (F16)
|
99% |
329
11.5 IPS |
|
Object Detection (I8)
|
54% |
326
11.4 IPS |
|
Face Detection (F32)
|
100% |
654
7.51 IPS |
|
Face Detection (F16)
|
97% |
1270
14.6 IPS |
|
Face Detection (I8)
|
75% |
1047
12.0 IPS |
|
Text Classification (F32)
|
100% |
392
155.0 IPS |
|
Text Classification (F16)
|
98% |
556
219.9 IPS |
|
Machine Translation (F32)
|
100% |
187
28.9 IPS |
|
Machine Translation (F16)
|
100% |
199
30.7 IPS |