HONOR DNY-NX9 vs HONOR DNY-NX9
| HONOR DNY-NX9 | HONOR DNY-NX9 | Difference | |
|---|---|---|---|
| Single Precision | 598 | 598 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Half Precision | 611 | 611 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Quantized | 1117 | 1117 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| HONOR DNY-NX9 | HONOR DNY-NX9 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | HONOR DNY-NX9 | HONOR DNY-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 1 part 3405 revision 1 | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Motherboard | crow | crow |
| Memory | 11.12 GB | 11.12 GB |
AI Performance
| HONOR DNY-NX9 | HONOR DNY-NX9 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 767 | 767 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Classification (HP) | 770 | 770 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Classification (Q) | 1929 | 1929 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Segmentation (SP) | 753 | 753 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Segmentation (HP) | 744 | 744 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Segmentation (Q) | 1945 | 1945 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Pose Estimation (SP) | 1940 | 1940 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Pose Estimation (HP) | 1904 | 1904 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Pose Estimation (Q) | 2013 | 2013 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Object Detection (SP) | 364 | 364 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Object Detection (HP) | 273 | 273 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Object Detection (Q) | 805 | 805 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Face Detection (SP) | 542 | 542 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Face Detection (HP) | 548 | 548 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Face Detection (Q) | 1228 | 1228 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Depth Estimation (SP) | 689 | 689 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Depth Estimation (HP) | 693 | 693 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Depth Estimation (Q) | 1497 | 1497 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Style Transfer (SP) | 1642 | 1642 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Style Transfer (HP) | 2180 | 2180 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Style Transfer (Q) | 3815 | 3815 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Super-Resolution (SP) | 365 | 365 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Super-Resolution (HP) | 468 | 468 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Super-Resolution (Q) | 994 | 994 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Text Classification (SP) | 180 | 180 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Text Classification (HP) | 178 | 178 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Text Classification (Q) | 296 | 296 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Machine Translation (SP) | 361 | 361 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Machine Translation (HP) | 358 | 358 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Machine Translation (Q) | 242 | 242 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
