Upload Date | August 28 2024 11:49 PM |
Views | 1 |
System Information | |
---|---|
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% |
200
21.4 IPS |
|
Image Classification (F16)
|
100% |
597
64.0 IPS |
|
Image Classification (I8)
|
80% |
661
70.8 IPS |
|
Image Segmentation (F32)
|
100% |
390
2.41 IPS |
|
Image Segmentation (F16)
|
100% |
548
3.38 IPS |
|
Image Segmentation (I8)
|
89% |
1222
7.55 IPS |
|
Pose Estimation (F32)
|
100% |
251
1.02 IPS |
|
Pose Estimation (F16)
|
100% |
579
2.34 IPS |
|
Pose Estimation (I8)
|
80% |
385
1.56 IPS |
|
Object Detection (F32)
|
100% |
311
10.9 IPS |
|
Object Detection (F16)
|
99% |
538
18.9 IPS |
|
Object Detection (I8)
|
53% |
454
15.9 IPS |
|
Face Detection (F32)
|
25% |
544
6.25 IPS |
|
Face Detection (F16)
|
25% |
754
8.66 IPS |
|
Face Detection (I8)
|
75% |
783
9.00 IPS |
|
Text Classification (F32)
|
100% |
206
81.4 IPS |
|
Text Classification (F16)
|
100% |
211
83.6 IPS |
|
Machine Translation (F32)
|
100% |
215
33.2 IPS |
|
Machine Translation (F16)
|
100% |
213
32.8 IPS |