Upload Date | September 28 2024 09:38 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 | 3.38 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
196
21.0 IPS |
|
Image Classification (F16)
|
100% |
585
62.7 IPS |
|
Image Classification (I8)
|
80% |
534
57.2 IPS |
|
Image Segmentation (F32)
|
100% |
381
2.35 IPS |
|
Image Segmentation (F16)
|
100% |
543
3.35 IPS |
|
Image Segmentation (I8)
|
89% |
1478
9.13 IPS |
|
Pose Estimation (F32)
|
100% |
250
1.01 IPS |
|
Pose Estimation (F16)
|
100% |
566
2.29 IPS |
|
Pose Estimation (I8)
|
80% |
330
1.34 IPS |
|
Object Detection (F32)
|
100% |
309
10.8 IPS |
|
Object Detection (F16)
|
99% |
528
18.5 IPS |
|
Object Detection (I8)
|
53% |
340
11.9 IPS |
|
Face Detection (F32)
|
25% |
513
5.89 IPS |
|
Face Detection (F16)
|
25% |
742
8.53 IPS |
|
Face Detection (I8)
|
75% |
722
8.29 IPS |
|
Text Classification (F32)
|
100% |
182
72.0 IPS |
|
Text Classification (F16)
|
100% |
177
69.8 IPS |
|
Machine Translation (F32)
|
100% |
210
32.3 IPS |
|
Machine Translation (F16)
|
100% |
209
32.3 IPS |