TECNO TECNO BF7 vs TECNO TECNO BF7
| TECNO TECNO BF7 | TECNO TECNO BF7 | Difference | |
|---|---|---|---|
| Single Precision | 184 | 184 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Half Precision | 191 | 191 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Quantized | 209 | 209 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| TECNO TECNO BF7 | TECNO TECNO BF7 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM MT6761V/WBB | ARM MT6761V/WBB |
| Operating System | Android 12 | Android 12 |
| Model | TECNO TECNO BF7 | TECNO TECNO BF7 |
| 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 | TECNO-BF7 | TECNO-BF7 |
| Memory | 2.74 GB | 2.74 GB |
AI Performance
| TECNO TECNO BF7 | TECNO TECNO BF7 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 85 | 85 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Classification (HP) | 84 | 84 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Classification (Q) | 124 | 124 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (SP) | 91 | 91 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (HP) | 114 | 114 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (Q) | 175 | 175 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (SP) | 326 | 326 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (HP) | 421 | 421 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (Q) | 301 | 301 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (SP) | 95 | 95 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (HP) | 94 | 94 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (Q) | 144 | 144 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (SP) | 199 | 199 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (HP) | 219 | 219 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (Q) | 345 | 345 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (SP) | 332 | 332 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (HP) | 324 | 324 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (Q) | 335 | 335 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (SP) | 844 | 844 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (HP) | 773 | 773 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (Q) | 708 | 708 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (SP) | 175 | 175 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (HP) | 176 | 176 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (Q) | 190 | 190 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (SP) | 109 | 109 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (HP) | 107 | 107 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (Q) | 134 | 134 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (SP) | 179 | 179 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (HP) | 172 | 172 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (Q) | 83 | 83 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
