Upload Date | August 31 2024 10:51 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 | 7.27 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% |
566
60.6 IPS |
|
Image Classification (I8)
|
80% |
535
57.3 IPS |
|
Image Segmentation (F32)
|
100% |
624
3.85 IPS |
|
Image Segmentation (F16)
|
100% |
1148
7.09 IPS |
|
Image Segmentation (I8)
|
89% |
1152
7.11 IPS |
|
Pose Estimation (F32)
|
100% |
220
0.89 IPS |
|
Pose Estimation (F16)
|
100% |
495
2.00 IPS |
|
Pose Estimation (I8)
|
80% |
500
2.02 IPS |
|
Object Detection (F32)
|
100% |
274
9.60 IPS |
|
Object Detection (F16)
|
100% |
425
14.9 IPS |
|
Object Detection (I8)
|
54% |
428
15.0 IPS |
|
Face Detection (F32)
|
100% |
625
7.18 IPS |
|
Face Detection (F16)
|
97% |
1130
13.0 IPS |
|
Face Detection (I8)
|
75% |
1070
12.3 IPS |
|
Text Classification (F32)
|
100% |
324
128.1 IPS |
|
Text Classification (F16)
|
98% |
301
118.9 IPS |
|
Machine Translation (F32)
|
100% |
203
31.4 IPS |
|
Machine Translation (F16)
|
100% |
204
31.5 IPS |