| WingTech WTATTRW2 | WingTech WTATTRW2 | Difference | |
|---|---|---|---|
| Single Precision | 50 | 50 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Half Precision | 53 | 53 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Quantized | 35 | 35 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
| WingTech WTATTRW2 | WingTech WTATTRW2 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM MT6761V/WBB | ARM MT6761V/WBB |
| Operating System | Android 13 | Android 13 |
| Model | WingTech WTATTRW2 | WingTech WTATTRW2 |
| Processor |
ARM MT6761V/WBB @ 2.00 GHz
1 Processor, 4 Cores |
ARM MT6761V/WBB @ 2.00 GHz
1 Processor, 4 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Motherboard | S98830AA1 | S98830AA1 |
| Memory | 2.74 GB | 2.74 GB |
| WingTech WTATTRW2 | WingTech WTATTRW2 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 30 | 30 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Image Classification (HP) | 30 | 30 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Image Classification (Q) | 27 | 27 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Image Segmentation (SP) | 36 | 36 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Image Segmentation (HP) | 37 | 37 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Image Segmentation (Q) | 31 | 31 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Pose Estimation (SP) | 165 | 165 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Pose Estimation (HP) | 160 | 160 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Pose Estimation (Q) | 156 | 156 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Object Detection (SP) | 29 | 29 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Object Detection (HP) | 28 | 28 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Object Detection (Q) | 26 | 26 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Face Detection (SP) | 65 | 65 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Face Detection (HP) | 98 | 98 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Face Detection (Q) | 39 | 39 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Depth Estimation (SP) | 74 | 74 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Depth Estimation (HP) | 103 | 103 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Depth Estimation (Q) | 56 | 56 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Style Transfer (SP) | 272 | 272 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Style Transfer (HP) | 249 | 249 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Style Transfer (Q) | 258 | 258 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Image Super-Resolution (SP) | 69 | 69 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Image Super-Resolution (HP) | 70 | 70 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Image Super-Resolution (Q) | 62 | 62 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Text Classification (SP) | 4 | 4 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Text Classification (HP) | 4 | 4 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Text Classification (Q) | 3 | 3 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Machine Translation (SP) | 57 | 57 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Machine Translation (HP) | 55 | 55 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||
| Machine Translation (Q) | 10 | 10 | 100.0% |
| WingTech WTATTRW2 | |||
| WingTech WTATTRW2 | |||