Upload Date | August 20 2024 07:53 AM |
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 | 7.28 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
248
26.6 IPS |
|
Image Classification (F16)
|
100% |
459
49.1 IPS |
|
Image Classification (I8)
|
80% |
440
47.1 IPS |
|
Image Segmentation (F32)
|
100% |
504
3.11 IPS |
|
Image Segmentation (F16)
|
100% |
969
5.98 IPS |
|
Image Segmentation (I8)
|
89% |
960
5.93 IPS |
|
Pose Estimation (F32)
|
100% |
188
0.76 IPS |
|
Pose Estimation (F16)
|
100% |
423
1.71 IPS |
|
Pose Estimation (I8)
|
80% |
416
1.68 IPS |
|
Object Detection (F32)
|
100% |
239
8.38 IPS |
|
Object Detection (F16)
|
100% |
382
13.4 IPS |
|
Object Detection (I8)
|
54% |
366
12.8 IPS |
|
Face Detection (F32)
|
100% |
512
5.89 IPS |
|
Face Detection (F16)
|
97% |
988
11.3 IPS |
|
Face Detection (I8)
|
75% |
901
10.4 IPS |
|
Text Classification (F32)
|
100% |
202
79.8 IPS |
|
Text Classification (F16)
|
98% |
298
118.0 IPS |
|
Machine Translation (F32)
|
100% |
203
31.3 IPS |
|
Machine Translation (F16)
|
100% |
206
31.8 IPS |