realme RMX5056 vs realme RMX5056
| realme RMX5056 | realme RMX5056 | Difference | |
|---|---|---|---|
| Single Precision | 881 | 881 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Half Precision | 873 | 873 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Quantized | 1827 | 1827 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5056 | realme RMX5056 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5056 | realme RMX5056 |
| 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 | RM6878 | RM6878 |
| Memory | 11.21 GB | 11.21 GB |
AI Performance
| realme RMX5056 | realme RMX5056 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 449 | 449 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Image Classification (HP) | 449 | 449 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Image Classification (Q) | 1376 | 1376 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Image Segmentation (SP) | 527 | 527 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Image Segmentation (HP) | 529 | 529 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Image Segmentation (Q) | 1651 | 1651 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Pose Estimation (SP) | 1919 | 1919 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Pose Estimation (HP) | 1931 | 1931 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Pose Estimation (Q) | 3741 | 3741 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Object Detection (SP) | 442 | 442 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Object Detection (HP) | 441 | 441 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Object Detection (Q) | 1307 | 1307 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Face Detection (SP) | 995 | 995 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Face Detection (HP) | 995 | 995 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Face Detection (Q) | 3114 | 3114 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Depth Estimation (SP) | 1407 | 1407 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Depth Estimation (HP) | 1416 | 1416 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Depth Estimation (Q) | 3294 | 3294 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Style Transfer (SP) | 3495 | 3495 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Style Transfer (HP) | 3485 | 3485 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Style Transfer (Q) | 8380 | 8380 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Image Super-Resolution (SP) | 764 | 764 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Image Super-Resolution (HP) | 733 | 733 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Image Super-Resolution (Q) | 1838 | 1838 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Text Classification (SP) | 506 | 506 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Text Classification (HP) | 485 | 485 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Text Classification (Q) | 645 | 645 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Machine Translation (SP) | 743 | 743 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Machine Translation (HP) | 732 | 732 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
| Machine Translation (Q) | 368 | 368 | 100.0% |
| realme RMX5056 | |||
| realme RMX5056 | |||
