Upload Date | August 20 2024 02:40 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 | 3.36 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
247
26.5 IPS |
|
Image Classification (F16)
|
100% |
452
48.4 IPS |
|
Image Classification (I8)
|
80% |
438
46.9 IPS |
|
Image Segmentation (F32)
|
100% |
507
3.13 IPS |
|
Image Segmentation (F16)
|
100% |
966
5.96 IPS |
|
Image Segmentation (I8)
|
89% |
953
5.88 IPS |
|
Pose Estimation (F32)
|
100% |
185
0.75 IPS |
|
Pose Estimation (F16)
|
100% |
422
1.71 IPS |
|
Pose Estimation (I8)
|
80% |
399
1.61 IPS |
|
Object Detection (F32)
|
100% |
232
8.14 IPS |
|
Object Detection (F16)
|
100% |
374
13.1 IPS |
|
Object Detection (I8)
|
54% |
364
12.8 IPS |
|
Face Detection (F32)
|
100% |
509
5.84 IPS |
|
Face Detection (F16)
|
97% |
955
11.0 IPS |
|
Face Detection (I8)
|
75% |
905
10.4 IPS |
|
Text Classification (F32)
|
100% |
213
84.2 IPS |
|
Text Classification (F16)
|
98% |
315
124.7 IPS |
|
Machine Translation (F32)
|
100% |
209
32.3 IPS |
|
Machine Translation (F16)
|
100% |
200
30.8 IPS |