Upload Date | August 31 2024 11:26 PM |
Views | 1 |
System Information | |
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Operating System | Android 14 |
Model | samsung SM-A166P |
Model ID | samsung SM-A166P |
Motherboard | a16xm |
CPU Information | |
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Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores @ 2.00 GHz |
Cluster 2 | 2 Cores @ 2.40 GHz |
Memory Information | |
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Size | 5.31 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
96
10.3 IPS |
|
Image Classification (F16)
|
100% |
90
9.64 IPS |
|
Image Classification (I8)
|
81% |
160
17.1 IPS |
|
Image Segmentation (F32)
|
100% |
366
2.26 IPS |
|
Image Segmentation (F16)
|
100% |
360
2.23 IPS |
|
Image Segmentation (I8)
|
89% |
591
3.65 IPS |
|
Pose Estimation (F32)
|
100% |
139
0.56 IPS |
|
Pose Estimation (F16)
|
100% |
141
0.57 IPS |
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
Object Detection (F32)
|
100% |
159
5.60 IPS |
|
Object Detection (F16)
|
100% |
156
5.46 IPS |
|
Object Detection (I8)
|
52% |
255
8.95 IPS |
|
Face Detection (F32)
|
100% |
316
3.63 IPS |
|
Face Detection (F16)
|
100% |
314
3.61 IPS |
|
Face Detection (I8)
|
75% |
373
4.29 IPS |
|
Text Classification (F32)
|
100% |
292
115.4 IPS |
|
Text Classification (F16)
|
100% |
288
113.8 IPS |
|
Machine Translation (F32)
|
100% |
219
33.8 IPS |
|
Machine Translation (F16)
|
100% |
210
32.3 IPS |