Upload Date | September 28 2024 08:06 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 | 7.30 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
310
33.2 IPS |
|
Image Classification (F16)
|
100% |
576
61.7 IPS |
|
Image Classification (I8)
|
80% |
531
56.9 IPS |
|
Image Segmentation (F32)
|
100% |
646
3.99 IPS |
|
Image Segmentation (F16)
|
100% |
1213
7.49 IPS |
|
Image Segmentation (I8)
|
89% |
1183
7.31 IPS |
|
Pose Estimation (F32)
|
100% |
222
0.90 IPS |
|
Pose Estimation (F16)
|
100% |
533
2.16 IPS |
|
Pose Estimation (I8)
|
80% |
552
2.23 IPS |
|
Object Detection (F32)
|
100% |
284
9.96 IPS |
|
Object Detection (F16)
|
100% |
410
14.4 IPS |
|
Object Detection (I8)
|
54% |
443
15.5 IPS |
|
Face Detection (F32)
|
100% |
634
7.28 IPS |
|
Face Detection (F16)
|
97% |
1225
14.1 IPS |
|
Face Detection (I8)
|
75% |
1084
12.5 IPS |
|
Text Classification (F32)
|
100% |
217
86.0 IPS |
|
Text Classification (F16)
|
98% |
314
124.0 IPS |
|
Machine Translation (F32)
|
100% |
204
31.5 IPS |
|
Machine Translation (F16)
|
100% |
200
30.9 IPS |