Upload Date | August 28 2024 11:52 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 | |
---|---|
Size | 3.36 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% |
594
63.7 IPS |
|
Image Classification (I8)
|
80% |
648
69.5 IPS |
|
Image Segmentation (F32)
|
100% |
391
2.41 IPS |
|
Image Segmentation (F16)
|
100% |
548
3.39 IPS |
|
Image Segmentation (I8)
|
89% |
1175
7.26 IPS |
|
Pose Estimation (F32)
|
100% |
258
1.04 IPS |
|
Pose Estimation (F16)
|
100% |
571
2.31 IPS |
|
Pose Estimation (I8)
|
80% |
376
1.52 IPS |
|
Object Detection (F32)
|
100% |
314
11.0 IPS |
|
Object Detection (F16)
|
99% |
544
19.1 IPS |
|
Object Detection (I8)
|
53% |
446
15.7 IPS |
|
Face Detection (F32)
|
25% |
536
6.16 IPS |
|
Face Detection (F16)
|
25% |
761
8.74 IPS |
|
Face Detection (I8)
|
75% |
776
8.92 IPS |
|
Text Classification (F32)
|
100% |
203
80.1 IPS |
|
Text Classification (F16)
|
100% |
206
81.7 IPS |
|
Machine Translation (F32)
|
100% |
219
33.8 IPS |
|
Machine Translation (F16)
|
100% |
210
32.3 IPS |