| User | kasid |
| Upload Date | September 05 2025 11:12 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung SM-A515U |
| Model ID | Samsung SM-A515U |
| Motherboard | SM-A515U |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores @ 3.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.85 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
3.71 KIPS |
|
|
Image Classification (HP)
|
0% |
0
3.75 KIPS |
|
|
Image Classification (Q)
|
0% |
0
4.01 KIPS |
|
|
Image Segmentation (SP)
|
73% |
18246
315.3 IPS |
|
|
Image Segmentation (HP)
|
73% |
18417
318.3 IPS |
|
|
Image Segmentation (Q)
|
73% |
58747
1.02 KIPS |
|
|
Pose Estimation (SP)
|
0% |
0
1.25 KIPS |
|
|
Pose Estimation (HP)
|
0% |
0
1.25 KIPS |
|
|
Pose Estimation (Q)
|
0% |
0
3.14 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.82 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.82 KIPS |
|
|
Object Detection (Q)
|
0% |
0
1.38 KIPS |
|
|
Face Detection (SP)
|
0% |
0
517.3 IPS |
|
|
Face Detection (HP)
|
0% |
0
515.8 IPS |
|
|
Face Detection (Q)
|
0% |
0
719.2 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
1.22 KIPS |
|
|
Depth Estimation (HP)
|
0% |
0
1.21 KIPS |
|
|
Depth Estimation (Q)
|
0% |
0
1.13 KIPS |
|
|
Style Transfer (SP)
|
32% |
213887
2.68 KIPS |
|
|
Style Transfer (HP)
|
32% |
213053
2.67 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
6.04 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
263
3.10 KIPS |
|
|
Text Classification (SP)
|
29% |
499
8.63 KIPS |
|
|
Text Classification (HP)
|
29% |
487
8.40 KIPS |
|
|
Text Classification (Q)
|
29% |
321
5.54 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.37 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.67 IPS |
|
|
Machine Translation (Q)
|
0% |
0
4.94 IPS |