| User | aqus |
| Upload Date | January 23 2026 05:23 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A166W |
| Model ID | samsung SM-A166W |
| Motherboard | s5e8535 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.37 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (Q)
|
100% |
774
144.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
894
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1808
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
749
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.30 IPS |
|
|
Face Detection (Q)
|
95% |
1770
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1028
7.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1037
7.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1694
15.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1972
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1986
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4223
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1038
38.5 IPS |
|
|
Text Classification (SP)
|
100% |
304
406.4 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.0 IPS |
|
|
Text Classification (Q)
|
88% |
636
858.4 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (Q)
|
50% |
372
13.2 IPS |