| User | DoctorMurk |
| Upload Date | November 22 2025 03:19 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 765G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Nokia 8.3 5G |
| Model ID | HMD Global Nokia 8.3 5G |
| Motherboard | BabyGroot |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.36 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
257
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (Q)
|
100% |
678
126.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1171
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1135
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1673
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
650
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (HP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (Q)
|
95% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
926
7.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1461
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1846
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1783
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3575
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
876
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
274
366.1 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.7 IPS |
|
|
Text Classification (Q)
|
88% |
529
712.8 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |