| User | 46fy45 | 
| Upload Date | August 23 2025 08:25 PM | 
| Views | 10 | 
| AI Information | |
|---|---|
| Framework | TensorFlow Lite | 
| Backend | CPU | 
| Device | ARM ARMv8 | 
| System Information | |
|---|---|
| Operating System | Android 15 | 
| Model | OnePlus PLC110 | 
| Model ID | OnePlus PLC110 | 
| Motherboard | k6991v1_64 | 
| CPU Information | |
|---|---|
| Name | ARM ARMv8 | 
| Topology | 1 Processor, 8 Cores | 
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 | 
| Base Frequency | 2.40 GHz | 
| Cluster 1 | 4 Cores @ 2.40 GHz | 
| Cluster 2 | 3 Cores @ 3.30 GHz | 
| Cluster 3 | 1 Core @ 3.73 GHz | 
| Memory Information | |
|---|---|
| Size | 11.12 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| Image Classification (SP) | 100% | 1230 228.7 IPS | |
| Image Classification (HP) | 100% | 1165 216.6 IPS | |
| Image Classification (Q) | 100% | 1954 363.3 IPS | |
| Image Segmentation (SP) | 100% | 1524 24.7 IPS | |
| Image Segmentation (HP) | 100% | 1519 24.6 IPS | |
| Image Segmentation (Q) | 98% | 2109 34.3 IPS | |
| Pose Estimation (SP) | 100% | 2671 3.12 IPS | |
| Pose Estimation (HP) | 100% | 2568 3.00 IPS | |
| Pose Estimation (Q) | 84% | 4944 5.86 IPS | |
| Object Detection (SP) | 98% | 1124 89.4 IPS | |
| Object Detection (HP) | 98% | 1074 85.5 IPS | |
| Object Detection (Q) | 83% | 1774 143.3 IPS | |
| Face Detection (SP) | 100% | 2495 29.6 IPS | |
| Face Detection (HP) | 100% | 2453 29.1 IPS | |
| Face Detection (Q) | 95% | 4011 47.9 IPS | |
| Depth Estimation (SP) | 99% | 3067 23.7 IPS | |
| Depth Estimation (HP) | 99% | 3078 23.8 IPS | |
| Depth Estimation (Q) | 64% | 4168 38.2 IPS | |
| Style Transfer (SP) | 89% | 6013 7.81 IPS | |
| Style Transfer (HP) | 89% | 6001 7.79 IPS | |
| Style Transfer (Q) | 98% | 10854 14.0 IPS | |
| Image Super-Resolution (SP) | 100% | 1368 50.5 IPS | |
| Image Super-Resolution (HP) | 100% | 1363 50.3 IPS | |
| Image Super-Resolution (Q) | 97% | 2663 98.7 IPS | |
| Text Classification (SP) | 100% | 605 807.9 IPS | |
| Text Classification (HP) | 99% | 563 751.7 IPS | |
| Text Classification (Q) | 88% | 975 1.31 KIPS | |
| Machine Translation (SP) | 100% | 1484 25.6 IPS | |
| Machine Translation (HP) | 100% | 1444 24.9 IPS | |
| Machine Translation (Q) | 50% | 629 22.3 IPS |