Upload Date | August 22 2024 03:52 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 | |
---|---|
Size | 5.31 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
203
21.8 IPS |
|
Image Classification (F16)
|
100% |
604
64.7 IPS |
|
Image Classification (I8)
|
80% |
630
67.5 IPS |
|
Image Segmentation (F32)
|
100% |
389
2.40 IPS |
|
Image Segmentation (F16)
|
100% |
542
3.35 IPS |
|
Image Segmentation (I8)
|
89% |
1186
7.33 IPS |
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
Pose Estimation (F16)
|
100% |
573
2.32 IPS |
|
Pose Estimation (I8)
|
80% |
364
1.47 IPS |
|
Object Detection (F32)
|
100% |
305
10.7 IPS |
|
Object Detection (F16)
|
99% |
532
18.7 IPS |
|
Object Detection (I8)
|
53% |
432
15.1 IPS |
|
Face Detection (F32)
|
25% |
538
6.18 IPS |
|
Face Detection (F16)
|
25% |
765
8.79 IPS |
|
Face Detection (I8)
|
75% |
712
8.18 IPS |
|
Text Classification (F32)
|
100% |
204
80.8 IPS |
|
Text Classification (F16)
|
100% |
200
79.2 IPS |
|
Machine Translation (F32)
|
100% |
200
30.8 IPS |
|
Machine Translation (F16)
|
100% |
207
31.9 IPS |