Upload Date | January 17 2025 02:57 AM |
Views | 3 |
System Information | |
---|---|
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 | |
---|---|
Size | 7.30 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
202
21.7 IPS |
|
Image Classification (F16)
|
100% |
591
63.4 IPS |
|
Image Classification (I8)
|
80% |
601
64.4 IPS |
|
Image Segmentation (F32)
|
100% |
391
2.42 IPS |
|
Image Segmentation (F16)
|
100% |
540
3.34 IPS |
|
Image Segmentation (I8)
|
89% |
1113
6.87 IPS |
|
Pose Estimation (F32)
|
100% |
253
1.03 IPS |
|
Pose Estimation (F16)
|
100% |
569
2.30 IPS |
|
Pose Estimation (I8)
|
80% |
349
1.41 IPS |
|
Object Detection (F32)
|
100% |
311
10.9 IPS |
|
Object Detection (F16)
|
99% |
537
18.9 IPS |
|
Object Detection (I8)
|
53% |
416
14.6 IPS |
|
Face Detection (F32)
|
25% |
535
6.14 IPS |
|
Face Detection (F16)
|
25% |
758
8.71 IPS |
|
Face Detection (I8)
|
75% |
716
8.22 IPS |
|
Text Classification (F32)
|
100% |
187
74.1 IPS |
|
Text Classification (F16)
|
100% |
184
72.8 IPS |
|
Machine Translation (F32)
|
100% |
198
30.5 IPS |
|
Machine Translation (F16)
|
100% |
205
31.5 IPS |