Upload Date | September 28 2024 09:24 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SM-A166P |
Model ID | samsung SM-A166P |
Motherboard | a16xm |
CPU Information | |
---|---|
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 | |
---|---|
Size | 7.30 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
193
20.7 IPS |
|
Image Classification (F16)
|
100% |
542
58.0 IPS |
|
Image Classification (I8)
|
80% |
555
59.5 IPS |
|
Image Segmentation (F32)
|
100% |
366
2.26 IPS |
|
Image Segmentation (F16)
|
100% |
489
3.02 IPS |
|
Image Segmentation (I8)
|
89% |
989
6.11 IPS |
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
Pose Estimation (F16)
|
100% |
557
2.25 IPS |
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
Object Detection (F32)
|
100% |
285
10.0 IPS |
|
Object Detection (F16)
|
99% |
507
17.8 IPS |
|
Object Detection (I8)
|
53% |
290
10.2 IPS |
|
Face Detection (F32)
|
25% |
496
5.70 IPS |
|
Face Detection (F16)
|
25% |
718
8.25 IPS |
|
Face Detection (I8)
|
75% |
460
5.29 IPS |
|
Text Classification (F32)
|
100% |
160
63.4 IPS |
|
Text Classification (F16)
|
100% |
128
50.6 IPS |
|
Machine Translation (F32)
|
100% |
174
26.8 IPS |
|
Machine Translation (F16)
|
100% |
177
27.2 IPS |