HONOR REA-NX9 vs HONOR REA-NX9
| HONOR REA-NX9 | HONOR REA-NX9 | Difference | |
|---|---|---|---|
| Single Precision | 533 | 533 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Half Precision | 797 | 797 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Quantized | 697 | 697 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Geekbench AI 1.7.0 | Geekbench AI 1.7.0 | ||
System Information
| HONOR REA-NX9 | HONOR REA-NX9 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | HONOR REA-NX9 | HONOR REA-NX9 |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Motherboard | taro | taro |
| Memory | 7.14 GB | 7.14 GB |
AI Performance
| HONOR REA-NX9 | HONOR REA-NX9 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 389 | 389 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Image Classification (HP) | 529 | 529 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Image Classification (Q) | 483 | 483 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Image Segmentation (SP) | 712 | 712 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Image Segmentation (HP) | 1124 | 1124 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Image Segmentation (Q) | 778 | 778 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Pose Estimation (SP) | 2564 | 2564 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Pose Estimation (HP) | 4608 | 4608 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Pose Estimation (Q) | 4492 | 4492 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Object Detection (SP) | 319 | 319 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Object Detection (HP) | 365 | 365 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Object Detection (Q) | 364 | 364 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Face Detection (SP) | 1014 | 1014 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Face Detection (HP) | 1562 | 1562 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Face Detection (Q) | 1109 | 1109 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Depth Estimation (SP) | 1404 | 1404 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Depth Estimation (HP) | 2247 | 2247 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Depth Estimation (Q) | 1870 | 1870 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Style Transfer (SP) | 3194 | 3194 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Style Transfer (HP) | 6542 | 6542 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Style Transfer (Q) | 6362 | 6362 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Image Super-Resolution (SP) | 654 | 654 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Image Super-Resolution (HP) | 844 | 844 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Image Super-Resolution (Q) | 824 | 824 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Text Classification (SP) | 16 | 16 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Text Classification (HP) | 23 | 23 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Text Classification (Q) | 22 | 22 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Machine Translation (SP) | 174 | 174 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Machine Translation (HP) | 234 | 234 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
| Machine Translation (Q) | 186 | 186 | 100.0% |
| HONOR REA-NX9 | |||
| HONOR REA-NX9 | |||
