Upload Date | August 20 2024 10:11 AM |
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% |
202
21.6 IPS |
|
Image Classification (F16)
|
100% |
597
64.0 IPS |
|
Image Classification (I8)
|
80% |
480
51.5 IPS |
|
Image Segmentation (F32)
|
100% |
375
2.31 IPS |
|
Image Segmentation (F16)
|
100% |
528
3.26 IPS |
|
Image Segmentation (I8)
|
89% |
1080
6.67 IPS |
|
Pose Estimation (F32)
|
100% |
251
1.02 IPS |
|
Pose Estimation (F16)
|
100% |
567
2.29 IPS |
|
Pose Estimation (I8)
|
80% |
345
1.40 IPS |
|
Object Detection (F32)
|
100% |
304
10.7 IPS |
|
Object Detection (F16)
|
99% |
522
18.3 IPS |
|
Object Detection (I8)
|
53% |
349
12.2 IPS |
|
Face Detection (F32)
|
25% |
522
6.00 IPS |
|
Face Detection (F16)
|
25% |
754
8.67 IPS |
|
Face Detection (I8)
|
75% |
714
8.20 IPS |
|
Text Classification (F32)
|
100% |
197
77.8 IPS |
|
Text Classification (F16)
|
100% |
207
81.8 IPS |
|
Machine Translation (F32)
|
100% |
214
32.9 IPS |
|
Machine Translation (F16)
|
100% |
200
30.9 IPS |