Upload Date | August 20 2024 12:18 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 | 3.36 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
249
26.7 IPS |
|
Image Classification (F16)
|
100% |
454
48.6 IPS |
|
Image Classification (I8)
|
80% |
439
47.0 IPS |
|
Image Segmentation (F32)
|
100% |
485
3.00 IPS |
|
Image Segmentation (F16)
|
100% |
936
5.78 IPS |
|
Image Segmentation (I8)
|
89% |
949
5.86 IPS |
|
Pose Estimation (F32)
|
100% |
183
0.74 IPS |
|
Pose Estimation (F16)
|
100% |
404
1.63 IPS |
|
Pose Estimation (I8)
|
80% |
430
1.74 IPS |
|
Object Detection (F32)
|
100% |
227
7.98 IPS |
|
Object Detection (F16)
|
100% |
365
12.8 IPS |
|
Object Detection (I8)
|
54% |
380
13.3 IPS |
|
Face Detection (F32)
|
100% |
502
5.77 IPS |
|
Face Detection (F16)
|
97% |
961
11.0 IPS |
|
Face Detection (I8)
|
75% |
869
9.98 IPS |
|
Text Classification (F32)
|
100% |
285
112.8 IPS |
|
Text Classification (F16)
|
98% |
318
125.8 IPS |
|
Machine Translation (F32)
|
100% |
202
31.1 IPS |
|
Machine Translation (F16)
|
100% |
200
30.9 IPS |