Upload Date | January 17 2025 03:00 AM |
Views | 3 |
System Information | |
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Operating System | Android 15 |
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 | 5.34 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
298
31.9 IPS |
|
Image Classification (F16)
|
100% |
537
57.5 IPS |
|
Image Classification (I8)
|
80% |
507
54.3 IPS |
|
Image Segmentation (F32)
|
100% |
646
3.99 IPS |
|
Image Segmentation (F16)
|
100% |
1242
7.67 IPS |
|
Image Segmentation (I8)
|
89% |
1151
7.11 IPS |
|
Pose Estimation (F32)
|
100% |
225
0.91 IPS |
|
Pose Estimation (F16)
|
100% |
523
2.12 IPS |
|
Pose Estimation (I8)
|
80% |
508
2.06 IPS |
|
Object Detection (F32)
|
100% |
271
9.51 IPS |
|
Object Detection (F16)
|
100% |
427
15.0 IPS |
|
Object Detection (I8)
|
54% |
434
15.2 IPS |
|
Face Detection (F32)
|
100% |
625
7.18 IPS |
|
Face Detection (F16)
|
97% |
1161
13.3 IPS |
|
Face Detection (I8)
|
75% |
1044
12.0 IPS |
|
Text Classification (F32)
|
100% |
202
79.7 IPS |
|
Text Classification (F16)
|
98% |
306
120.8 IPS |
|
Machine Translation (F32)
|
100% |
207
31.9 IPS |
|
Machine Translation (F16)
|
100% |
197
30.3 IPS |