TECNO TECNO CM7 vs TECNO TECNO CM7
| TECNO TECNO CM7 | TECNO TECNO CM7 | Difference | |
|---|---|---|---|
| Single Precision | 529 | 529 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Half Precision | 754 | 754 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Quantized | 631 | 631 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| TECNO TECNO CM7 | TECNO TECNO CM7 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | TECNO TECNO CM7 | TECNO TECNO CM7 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Motherboard | TECNO-CM7 | TECNO-CM7 |
| Memory | 7.27 GB | 7.27 GB |
AI Performance
| TECNO TECNO CM7 | TECNO TECNO CM7 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 332 | 332 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Image Classification (HP) | 459 | 459 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Image Classification (Q) | 379 | 379 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Image Segmentation (SP) | 553 | 553 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Image Segmentation (HP) | 931 | 931 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Image Segmentation (Q) | 908 | 908 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Pose Estimation (SP) | 2252 | 2252 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Pose Estimation (HP) | 4009 | 4009 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Pose Estimation (Q) | 3733 | 3733 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Object Detection (SP) | 238 | 238 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Object Detection (HP) | 386 | 386 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Object Detection (Q) | 372 | 372 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Face Detection (SP) | 1088 | 1088 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Face Detection (HP) | 1686 | 1686 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Face Detection (Q) | 1551 | 1551 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Depth Estimation (SP) | 1365 | 1365 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Depth Estimation (HP) | 2262 | 2262 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Depth Estimation (Q) | 1792 | 1792 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Style Transfer (SP) | 3674 | 3674 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Style Transfer (HP) | 6558 | 6558 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Style Transfer (Q) | 6554 | 6554 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Image Super-Resolution (SP) | 717 | 717 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Image Super-Resolution (HP) | 1125 | 1125 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Image Super-Resolution (Q) | 993 | 993 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Text Classification (SP) | 13 | 13 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Text Classification (HP) | 8 | 8 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Text Classification (Q) | 11 | 11 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Machine Translation (SP) | 349 | 349 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Machine Translation (HP) | 399 | 399 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
| Machine Translation (Q) | 106 | 106 | 100.0% |
| TECNO TECNO CM7 | |||
| TECNO TECNO CM7 | |||
