Upload Date | December 01 2024 02:54 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 | 7.30 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
317
34.0 IPS |
|
Image Classification (F16)
|
100% |
566
60.7 IPS |
|
Image Classification (I8)
|
80% |
542
58.0 IPS |
|
Image Segmentation (F32)
|
100% |
624
3.85 IPS |
|
Image Segmentation (F16)
|
100% |
1173
7.25 IPS |
|
Image Segmentation (I8)
|
89% |
1200
7.41 IPS |
|
Pose Estimation (F32)
|
100% |
220
0.89 IPS |
|
Pose Estimation (F16)
|
100% |
502
2.03 IPS |
|
Pose Estimation (I8)
|
80% |
509
2.06 IPS |
|
Object Detection (F32)
|
100% |
271
9.50 IPS |
|
Object Detection (F16)
|
100% |
427
15.0 IPS |
|
Object Detection (I8)
|
54% |
416
14.6 IPS |
|
Face Detection (F32)
|
100% |
628
7.21 IPS |
|
Face Detection (F16)
|
97% |
1202
13.8 IPS |
|
Face Detection (I8)
|
75% |
1079
12.4 IPS |
|
Text Classification (F32)
|
100% |
305
120.5 IPS |
|
Text Classification (F16)
|
98% |
378
149.7 IPS |
|
Machine Translation (F32)
|
100% |
203
31.3 IPS |
|
Machine Translation (F16)
|
100% |
202
31.2 IPS |