Upload Date | August 30 2024 09:26 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 | 5.31 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
315
33.7 IPS |
|
Image Classification (F16)
|
100% |
572
61.3 IPS |
|
Image Classification (I8)
|
80% |
540
57.9 IPS |
|
Image Segmentation (F32)
|
100% |
626
3.87 IPS |
|
Image Segmentation (F16)
|
100% |
1158
7.15 IPS |
|
Image Segmentation (I8)
|
89% |
1155
7.14 IPS |
|
Pose Estimation (F32)
|
100% |
228
0.92 IPS |
|
Pose Estimation (F16)
|
100% |
536
2.17 IPS |
|
Pose Estimation (I8)
|
80% |
550
2.22 IPS |
|
Object Detection (F32)
|
100% |
272
9.55 IPS |
|
Object Detection (F16)
|
100% |
446
15.7 IPS |
|
Object Detection (I8)
|
54% |
453
15.9 IPS |
|
Face Detection (F32)
|
100% |
633
7.28 IPS |
|
Face Detection (F16)
|
97% |
1191
13.7 IPS |
|
Face Detection (I8)
|
75% |
1077
12.4 IPS |
|
Text Classification (F32)
|
100% |
307
121.3 IPS |
|
Text Classification (F16)
|
98% |
302
119.6 IPS |
|
Machine Translation (F32)
|
100% |
219
33.7 IPS |
|
Machine Translation (F16)
|
100% |
214
32.9 IPS |