Upload Date | May 18 2025 04:15 PM |
Views | 4 |
System Information | |
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Operating System | Android 15 |
Model | samsung SM-M166P |
Model ID | samsung SM-M166P |
Motherboard | m16xm |
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 | 7.30 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
88
9.44 IPS |
|
Image Classification (F16)
|
100% |
87
9.35 IPS |
|
Image Classification (I8)
|
81% |
120
12.8 IPS |
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
Image Segmentation (F16)
|
100% |
360
2.22 IPS |
|
Image Segmentation (I8)
|
89% |
542
3.35 IPS |
|
Pose Estimation (F32)
|
100% |
139
0.56 IPS |
|
Pose Estimation (F16)
|
100% |
139
0.56 IPS |
|
Pose Estimation (I8)
|
80% |
140
0.57 IPS |
|
Object Detection (F32)
|
100% |
144
5.04 IPS |
|
Object Detection (F16)
|
100% |
116
4.06 IPS |
|
Object Detection (I8)
|
52% |
131
4.61 IPS |
|
Face Detection (F32)
|
100% |
289
3.32 IPS |
|
Face Detection (F16)
|
100% |
305
3.50 IPS |
|
Face Detection (I8)
|
75% |
338
3.89 IPS |
|
Text Classification (F32)
|
100% |
273
107.9 IPS |
|
Text Classification (F16)
|
100% |
273
108.0 IPS |
|
Machine Translation (F32)
|
100% |
208
32.1 IPS |
|
Machine Translation (F16)
|
100% |
207
31.9 IPS |