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% |
316
33.8 IPS |
|
Image Classification (F16)
|
100% |
558
59.8 IPS |
|
Image Classification (I8)
|
80% |
547
58.6 IPS |
|
Image Segmentation (F32)
|
100% |
647
4.00 IPS |
|
Image Segmentation (F16)
|
100% |
1199
7.41 IPS |
|
Image Segmentation (I8)
|
89% |
1185
7.32 IPS |
|
Pose Estimation (F32)
|
100% |
221
0.90 IPS |
|
Pose Estimation (F16)
|
100% |
531
2.15 IPS |
|
Pose Estimation (I8)
|
80% |
554
2.24 IPS |
|
Object Detection (F32)
|
100% |
280
9.83 IPS |
|
Object Detection (F16)
|
100% |
436
15.3 IPS |
|
Object Detection (I8)
|
54% |
435
15.3 IPS |
|
Face Detection (F32)
|
100% |
642
7.38 IPS |
|
Face Detection (F16)
|
97% |
1225
14.1 IPS |
|
Face Detection (I8)
|
75% |
1109
12.7 IPS |
|
Text Classification (F32)
|
100% |
250
98.7 IPS |
|
Text Classification (F16)
|
98% |
329
130.2 IPS |
|
Machine Translation (F32)
|
100% |
200
30.8 IPS |
|
Machine Translation (F16)
|
100% |
194
29.9 IPS |