Upload Date | August 22 2024 04:34 AM |
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 | 3.36 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% |
92
9.82 IPS |
|
Image Classification (I8)
|
81% |
156
16.7 IPS |
|
Image Segmentation (F32)
|
100% |
358
2.21 IPS |
|
Image Segmentation (F16)
|
100% |
366
2.26 IPS |
|
Image Segmentation (I8)
|
89% |
577
3.57 IPS |
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
Pose Estimation (F16)
|
100% |
138
0.56 IPS |
|
Pose Estimation (I8)
|
80% |
152
0.62 IPS |
|
Object Detection (F32)
|
100% |
161
5.65 IPS |
|
Object Detection (F16)
|
100% |
159
5.56 IPS |
|
Object Detection (I8)
|
52% |
242
8.51 IPS |
|
Face Detection (F32)
|
100% |
321
3.68 IPS |
|
Face Detection (F16)
|
100% |
314
3.61 IPS |
|
Face Detection (I8)
|
75% |
374
4.29 IPS |
|
Text Classification (F32)
|
100% |
285
112.7 IPS |
|
Text Classification (F16)
|
100% |
284
112.5 IPS |
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
Machine Translation (F16)
|
100% |
207
31.8 IPS |