Upload Date | September 13 2024 09:12 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 | 7.27 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
94
10.0 IPS |
|
Image Classification (F16)
|
100% |
93
9.93 IPS |
|
Image Classification (I8)
|
81% |
106
11.4 IPS |
|
Image Segmentation (F32)
|
100% |
221
1.36 IPS |
|
Image Segmentation (F16)
|
100% |
223
1.38 IPS |
|
Image Segmentation (I8)
|
89% |
399
2.46 IPS |
|
Pose Estimation (F32)
|
100% |
69
0.28 IPS |
|
Pose Estimation (F16)
|
100% |
71
0.29 IPS |
|
Pose Estimation (I8)
|
80% |
94
0.38 IPS |
|
Object Detection (F32)
|
100% |
129
4.52 IPS |
|
Object Detection (F16)
|
100% |
123
4.33 IPS |
|
Object Detection (I8)
|
52% |
195
6.83 IPS |
|
Face Detection (F32)
|
100% |
230
2.64 IPS |
|
Face Detection (F16)
|
100% |
212
2.44 IPS |
|
Face Detection (I8)
|
75% |
276
3.17 IPS |
|
Text Classification (F32)
|
100% |
218
86.3 IPS |
|
Text Classification (F16)
|
100% |
223
88.2 IPS |
|
Machine Translation (F32)
|
100% |
185
28.6 IPS |
|
Machine Translation (F16)
|
100% |
175
26.9 IPS |