Upload Date | August 17 2024 07:36 AM |
Views | 2 |
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 | 3.36 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
88
9.41 IPS |
|
Image Classification (F16)
|
100% |
84
8.96 IPS |
|
Image Classification (I8)
|
81% |
139
14.9 IPS |
|
Image Segmentation (F32)
|
100% |
330
2.04 IPS |
|
Image Segmentation (F16)
|
100% |
334
2.06 IPS |
|
Image Segmentation (I8)
|
89% |
539
3.33 IPS |
|
Pose Estimation (F32)
|
100% |
122
0.49 IPS |
|
Pose Estimation (F16)
|
100% |
106
0.43 IPS |
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
Object Detection (F32)
|
100% |
144
5.05 IPS |
|
Object Detection (F16)
|
100% |
152
5.35 IPS |
|
Object Detection (I8)
|
52% |
230
8.06 IPS |
|
Face Detection (F32)
|
100% |
304
3.50 IPS |
|
Face Detection (F16)
|
100% |
282
3.25 IPS |
|
Face Detection (I8)
|
75% |
315
3.62 IPS |
|
Text Classification (F32)
|
100% |
279
110.3 IPS |
|
Text Classification (F16)
|
100% |
278
109.9 IPS |
|
Machine Translation (F32)
|
100% |
206
31.8 IPS |
|
Machine Translation (F16)
|
100% |
205
31.5 IPS |