| User | 46fy45 |
| Upload Date | December 13 2025 06:25 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HMD Global Nokia G60 5G |
| Model ID | HMD Global Nokia G60 5G |
| Motherboard | Apollo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.39 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1210
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1211
1.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
1746
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (HP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (Q)
|
95% |
1735
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1038
7.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1040
8.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1628
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2049
2.66 IPS |
|
|
Style Transfer (HP)
|
89% |
2050
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4041
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.0 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.6 IPS |
|
|
Text Classification (Q)
|
88% |
589
794.8 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.6 IPS |