Upload Date | September 28 2024 08:46 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 | |
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Size | 3.38 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
315
33.8 IPS |
|
Image Classification (F16)
|
100% |
553
59.2 IPS |
|
Image Classification (I8)
|
80% |
533
57.2 IPS |
|
Image Segmentation (F32)
|
100% |
623
3.85 IPS |
|
Image Segmentation (F16)
|
100% |
1175
7.26 IPS |
|
Image Segmentation (I8)
|
89% |
1203
7.43 IPS |
|
Pose Estimation (F32)
|
100% |
223
0.90 IPS |
|
Pose Estimation (F16)
|
100% |
518
2.10 IPS |
|
Pose Estimation (I8)
|
80% |
533
2.16 IPS |
|
Object Detection (F32)
|
100% |
281
9.87 IPS |
|
Object Detection (F16)
|
100% |
438
15.4 IPS |
|
Object Detection (I8)
|
54% |
451
15.8 IPS |
|
Face Detection (F32)
|
100% |
627
7.20 IPS |
|
Face Detection (F16)
|
97% |
1158
13.3 IPS |
|
Face Detection (I8)
|
75% |
1107
12.7 IPS |
|
Text Classification (F32)
|
100% |
209
82.7 IPS |
|
Text Classification (F16)
|
98% |
307
121.6 IPS |
|
Machine Translation (F32)
|
100% |
211
32.5 IPS |
|
Machine Translation (F16)
|
100% |
214
33.0 IPS |