Upload Date | December 05 2024 09:19 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 | 3.35 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
202
21.7 IPS |
|
Image Classification (F16)
|
100% |
596
63.9 IPS |
|
Image Classification (I8)
|
80% |
658
70.5 IPS |
|
Image Segmentation (F32)
|
100% |
386
2.39 IPS |
|
Image Segmentation (F16)
|
100% |
547
3.38 IPS |
|
Image Segmentation (I8)
|
89% |
1175
7.26 IPS |
|
Pose Estimation (F32)
|
100% |
253
1.03 IPS |
|
Pose Estimation (F16)
|
100% |
569
2.30 IPS |
|
Pose Estimation (I8)
|
80% |
383
1.55 IPS |
|
Object Detection (F32)
|
100% |
311
10.9 IPS |
|
Object Detection (F16)
|
99% |
542
19.0 IPS |
|
Object Detection (I8)
|
53% |
448
15.7 IPS |
|
Face Detection (F32)
|
25% |
549
6.30 IPS |
|
Face Detection (F16)
|
25% |
755
8.68 IPS |
|
Face Detection (I8)
|
75% |
772
8.87 IPS |
|
Text Classification (F32)
|
100% |
209
82.6 IPS |
|
Text Classification (F16)
|
100% |
220
87.1 IPS |
|
Machine Translation (F32)
|
100% |
214
33.0 IPS |
|
Machine Translation (F16)
|
100% |
214
33.0 IPS |