realme RMX3709 vs realme RMX3709
| realme RMX3709 | realme RMX3709 | Difference | |
|---|---|---|---|
| Single Precision | 280 | 280 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Half Precision | 281 | 281 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Quantized | 685 | 685 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX3709 | realme RMX3709 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX3709 | realme RMX3709 |
| 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 3400 revision 0 | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Motherboard | taro | taro |
| Memory | 10.95 GB | 10.95 GB |
AI Performance
| realme RMX3709 | realme RMX3709 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 158 | 158 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Classification (HP) | 158 | 158 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Classification (Q) | 446 | 446 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Segmentation (SP) | 210 | 210 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Segmentation (HP) | 210 | 210 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Segmentation (Q) | 590 | 590 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Pose Estimation (SP) | 295 | 295 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Pose Estimation (HP) | 293 | 293 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Pose Estimation (Q) | 1134 | 1134 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Object Detection (SP) | 163 | 163 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Object Detection (HP) | 163 | 163 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Object Detection (Q) | 476 | 476 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Face Detection (SP) | 448 | 448 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Face Detection (HP) | 451 | 451 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Face Detection (Q) | 1056 | 1056 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Depth Estimation (SP) | 375 | 375 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Depth Estimation (HP) | 379 | 379 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Depth Estimation (Q) | 912 | 912 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Style Transfer (SP) | 652 | 652 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Style Transfer (HP) | 653 | 653 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Style Transfer (Q) | 1625 | 1625 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Super-Resolution (SP) | 183 | 183 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Super-Resolution (HP) | 183 | 183 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Super-Resolution (Q) | 647 | 647 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Text Classification (SP) | 237 | 237 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Text Classification (HP) | 238 | 238 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Text Classification (Q) | 456 | 456 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Machine Translation (SP) | 400 | 400 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Machine Translation (HP) | 406 | 406 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Machine Translation (Q) | 350 | 350 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
