Upload Date | August 22 2024 05:51 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 | 3.36 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
319
34.2 IPS |
|
Image Classification (F16)
|
100% |
563
60.3 IPS |
|
Image Classification (I8)
|
80% |
527
56.4 IPS |
|
Image Segmentation (F32)
|
100% |
650
4.01 IPS |
|
Image Segmentation (F16)
|
100% |
1238
7.65 IPS |
|
Image Segmentation (I8)
|
89% |
1242
7.67 IPS |
|
Pose Estimation (F32)
|
100% |
241
0.98 IPS |
|
Pose Estimation (F16)
|
100% |
573
2.32 IPS |
|
Pose Estimation (I8)
|
80% |
560
2.27 IPS |
|
Object Detection (F32)
|
100% |
278
9.77 IPS |
|
Object Detection (F16)
|
100% |
439
15.4 IPS |
|
Object Detection (I8)
|
54% |
451
15.8 IPS |
|
Face Detection (F32)
|
100% |
632
7.26 IPS |
|
Face Detection (F16)
|
97% |
1167
13.4 IPS |
|
Face Detection (I8)
|
75% |
1054
12.1 IPS |
|
Text Classification (F32)
|
100% |
213
84.4 IPS |
|
Text Classification (F16)
|
98% |
314
124.1 IPS |
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
Machine Translation (F16)
|
100% |
218
33.6 IPS |