Upload Date | August 29 2024 12:58 AM |
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 | 3.36 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
98
10.5 IPS |
|
Image Classification (F16)
|
100% |
91
9.71 IPS |
|
Image Classification (I8)
|
81% |
152
16.3 IPS |
|
Image Segmentation (F32)
|
100% |
356
2.20 IPS |
|
Image Segmentation (F16)
|
100% |
357
2.21 IPS |
|
Image Segmentation (I8)
|
89% |
585
3.61 IPS |
|
Pose Estimation (F32)
|
100% |
140
0.57 IPS |
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
Object Detection (F32)
|
100% |
158
5.54 IPS |
|
Object Detection (F16)
|
100% |
157
5.50 IPS |
|
Object Detection (I8)
|
52% |
246
8.63 IPS |
|
Face Detection (F32)
|
100% |
314
3.61 IPS |
|
Face Detection (F16)
|
100% |
315
3.62 IPS |
|
Face Detection (I8)
|
75% |
362
4.16 IPS |
|
Text Classification (F32)
|
100% |
298
118.1 IPS |
|
Text Classification (F16)
|
100% |
281
111.2 IPS |
|
Machine Translation (F32)
|
100% |
220
33.9 IPS |
|
Machine Translation (F16)
|
100% |
210
32.3 IPS |