TECNO TECNO BF7 vs TECNO TECNO BF7
| TECNO TECNO BF7 | TECNO TECNO BF7 | Difference | |
|---|---|---|---|
| Single Precision | 142 | 142 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Half Precision | 148 | 148 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Quantized | 159 | 159 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
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) | 42 | 42 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Classification (HP) | 70 | 70 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Classification (Q) | 103 | 103 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (SP) | 81 | 81 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (HP) | 92 | 92 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Segmentation (Q) | 174 | 174 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (SP) | 374 | 374 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (HP) | 365 | 365 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Pose Estimation (Q) | 242 | 242 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (SP) | 74 | 74 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (HP) | 74 | 74 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Object Detection (Q) | 112 | 112 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (SP) | 199 | 199 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (HP) | 197 | 197 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Face Detection (Q) | 311 | 311 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (SP) | 236 | 236 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (HP) | 212 | 212 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Depth Estimation (Q) | 164 | 164 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (SP) | 702 | 702 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (HP) | 602 | 602 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Style Transfer (Q) | 569 | 569 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (SP) | 132 | 132 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (HP) | 136 | 136 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Image Super-Resolution (Q) | 130 | 130 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (SP) | 66 | 66 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (HP) | 66 | 66 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Text Classification (Q) | 86 | 86 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (SP) | 124 | 124 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (HP) | 129 | 129 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
| Machine Translation (Q) | 66 | 66 | 100.0% |
| TECNO TECNO BF7 | |||
| TECNO TECNO BF7 | |||
