realme RMX3741 vs realme RMX3741
| realme RMX3741 | realme RMX3741 | Difference | |
|---|---|---|---|
| Single Precision | 511 | 511 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Half Precision | 509 | 509 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Quantized | 906 | 906 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX3741 | realme RMX3741 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX3741 | realme RMX3741 |
| 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 | RM6877 | RM6877 |
| Memory | 11.29 GB | 11.29 GB |
AI Performance
| realme RMX3741 | realme RMX3741 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 287 | 287 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Image Classification (HP) | 277 | 277 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Image Classification (Q) | 607 | 607 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Image Segmentation (SP) | 273 | 273 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Image Segmentation (HP) | 273 | 273 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Image Segmentation (Q) | 694 | 694 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Pose Estimation (SP) | 1082 | 1082 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Pose Estimation (HP) | 1082 | 1082 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Pose Estimation (Q) | 1436 | 1436 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Object Detection (SP) | 210 | 210 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Object Detection (HP) | 207 | 207 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Object Detection (Q) | 603 | 603 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Face Detection (SP) | 714 | 714 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Face Detection (HP) | 714 | 714 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Face Detection (Q) | 1420 | 1420 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Depth Estimation (SP) | 957 | 957 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Depth Estimation (HP) | 968 | 968 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Depth Estimation (Q) | 1368 | 1368 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Style Transfer (SP) | 1751 | 1751 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Style Transfer (HP) | 1754 | 1754 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Style Transfer (Q) | 3463 | 3463 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Image Super-Resolution (SP) | 516 | 516 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Image Super-Resolution (HP) | 515 | 515 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Image Super-Resolution (Q) | 832 | 832 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Text Classification (SP) | 254 | 254 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Text Classification (HP) | 252 | 252 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Text Classification (Q) | 517 | 517 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Machine Translation (SP) | 440 | 440 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Machine Translation (HP) | 440 | 440 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
| Machine Translation (Q) | 355 | 355 | 100.0% |
| realme RMX3741 | |||
| realme RMX3741 | |||
