| User | givmedew |
| Upload Date | October 17 2025 01:21 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google staryu |
| Model ID | Google staryu |
| Motherboard | starmie |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 3.14 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.3 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
100% |
574
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
638
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
948
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
909
1.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
1520
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
83% |
568
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
605
7.18 IPS |
|
|
Face Detection (Q)
|
95% |
1298
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
771
5.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
774
5.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1366
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1644
2.13 IPS |
|
|
Style Transfer (HP)
|
89% |
1645
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3411
4.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
823
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.6 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.7 IPS |
|
|
Text Classification (Q)
|
88% |
411
554.4 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
50% |
266
9.44 IPS |