Upload Date | September 28 2024 08:41 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% |
306
32.8 IPS |
|
Image Classification (F16)
|
100% |
549
58.8 IPS |
|
Image Classification (I8)
|
80% |
512
54.8 IPS |
|
Image Segmentation (F32)
|
100% |
650
4.01 IPS |
|
Image Segmentation (F16)
|
100% |
1233
7.61 IPS |
|
Image Segmentation (I8)
|
89% |
1233
7.62 IPS |
|
Pose Estimation (F32)
|
100% |
242
0.98 IPS |
|
Pose Estimation (F16)
|
100% |
573
2.32 IPS |
|
Pose Estimation (I8)
|
80% |
554
2.24 IPS |
|
Object Detection (F32)
|
100% |
267
9.35 IPS |
|
Object Detection (F16)
|
100% |
420
14.8 IPS |
|
Object Detection (I8)
|
54% |
446
15.6 IPS |
|
Face Detection (F32)
|
100% |
631
7.25 IPS |
|
Face Detection (F16)
|
97% |
1195
13.7 IPS |
|
Face Detection (I8)
|
75% |
1082
12.4 IPS |
|
Text Classification (F32)
|
100% |
209
82.8 IPS |
|
Text Classification (F16)
|
98% |
303
120.0 IPS |
|
Machine Translation (F32)
|
100% |
214
33.0 IPS |
|
Machine Translation (F16)
|
100% |
213
32.8 IPS |