Upload Date | August 29 2024 03:42 AM |
Views | 2 |
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 | 3.36 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
105
11.3 IPS |
|
Image Classification (F16)
|
100% |
93
9.98 IPS |
|
Image Classification (I8)
|
81% |
149
16.0 IPS |
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
Image Segmentation (F16)
|
100% |
357
2.20 IPS |
|
Image Segmentation (I8)
|
89% |
569
3.52 IPS |
|
Pose Estimation (F32)
|
100% |
140
0.56 IPS |
|
Pose Estimation (F16)
|
100% |
135
0.55 IPS |
|
Pose Estimation (I8)
|
80% |
145
0.59 IPS |
|
Object Detection (F32)
|
100% |
157
5.51 IPS |
|
Object Detection (F16)
|
100% |
159
5.60 IPS |
|
Object Detection (I8)
|
52% |
238
8.36 IPS |
|
Face Detection (F32)
|
100% |
312
3.58 IPS |
|
Face Detection (F16)
|
100% |
314
3.60 IPS |
|
Face Detection (I8)
|
75% |
356
4.10 IPS |
|
Text Classification (F32)
|
100% |
289
114.2 IPS |
|
Text Classification (F16)
|
100% |
283
111.9 IPS |
|
Machine Translation (F32)
|
100% |
216
33.4 IPS |
|
Machine Translation (F16)
|
100% |
203
31.3 IPS |