TECNO TECNO BF7 vs TECNO TECNO BF7
| TECNO TECNO BF7 | TECNO TECNO BF7 | Difference | |
|---|---|---|---|
| Single Precision | 152 | 152 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Half Precision | 156 | 156 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Quantized | 175 | 175 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
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) | 75 | 75 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Classification (HP) | 84 | 84 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Classification (Q) | 117 | 117 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (SP) | 100 | 100 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (HP) | 114 | 114 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (Q) | 182 | 182 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (SP) | 340 | 340 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (HP) | 291 | 291 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (Q) | 241 | 241 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (SP) | 60 | 60 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (HP) | 63 | 63 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (Q) | 106 | 106 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (SP) | 177 | 177 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (HP) | 153 | 153 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (Q) | 289 | 289 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (SP) | 225 | 225 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (HP) | 256 | 256 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (Q) | 235 | 235 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (SP) | 571 | 571 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (HP) | 613 | 613 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (Q) | 680 | 680 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (SP) | 149 | 149 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (HP) | 151 | 151 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (Q) | 166 | 166 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (SP) | 93 | 93 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (HP) | 94 | 94 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (Q) | 110 | 110 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (SP) | 144 | 144 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (HP) | 146 | 146 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (Q) | 60 | 60 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
