Upload Date | September 28 2024 09:31 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 | 3.38 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
97
10.4 IPS |
|
Image Classification (F16)
|
100% |
90
9.61 IPS |
|
Image Classification (I8)
|
81% |
125
13.4 IPS |
|
Image Segmentation (F32)
|
100% |
350
2.16 IPS |
|
Image Segmentation (F16)
|
100% |
344
2.13 IPS |
|
Image Segmentation (I8)
|
89% |
543
3.35 IPS |
|
Pose Estimation (F32)
|
100% |
129
0.52 IPS |
|
Pose Estimation (F16)
|
100% |
127
0.51 IPS |
|
Pose Estimation (I8)
|
80% |
149
0.60 IPS |
|
Object Detection (F32)
|
100% |
149
5.23 IPS |
|
Object Detection (F16)
|
100% |
152
5.32 IPS |
|
Object Detection (I8)
|
52% |
217
7.62 IPS |
|
Face Detection (F32)
|
100% |
273
3.14 IPS |
|
Face Detection (F16)
|
100% |
288
3.31 IPS |
|
Face Detection (I8)
|
75% |
309
3.55 IPS |
|
Text Classification (F32)
|
100% |
276
109.0 IPS |
|
Text Classification (F16)
|
100% |
281
111.2 IPS |
|
Machine Translation (F32)
|
100% |
215
33.2 IPS |
|
Machine Translation (F16)
|
100% |
212
32.7 IPS |