realme RMX5051 vs realme RMX5051
| realme RMX5051 | realme RMX5051 | Difference | |
|---|---|---|---|
| Single Precision | 849 | 849 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Half Precision | 792 | 792 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Quantized | 1467 | 1467 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5051 | realme RMX5051 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5051 | realme RMX5051 |
| 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 0 part 3457 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Motherboard | volcano | volcano |
| Memory | 11.13 GB | 11.13 GB |
AI Performance
| realme RMX5051 | realme RMX5051 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 738 | 738 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Image Classification (HP) | 810 | 810 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Image Classification (Q) | 1459 | 1459 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Image Segmentation (SP) | 774 | 774 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Image Segmentation (HP) | 420 | 420 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Image Segmentation (Q) | 1933 | 1933 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Pose Estimation (SP) | 1817 | 1817 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Pose Estimation (HP) | 1776 | 1776 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Pose Estimation (Q) | 4918 | 4918 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Object Detection (SP) | 791 | 791 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Object Detection (HP) | 388 | 388 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Object Detection (Q) | 802 | 802 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Face Detection (SP) | 1166 | 1166 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Face Detection (HP) | 1110 | 1110 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Face Detection (Q) | 1711 | 1711 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Depth Estimation (SP) | 799 | 799 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Depth Estimation (HP) | 1286 | 1286 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Depth Estimation (Q) | 1960 | 1960 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Style Transfer (SP) | 2270 | 2270 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Style Transfer (HP) | 2271 | 2271 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Style Transfer (Q) | 4772 | 4772 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Image Super-Resolution (SP) | 700 | 700 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Image Super-Resolution (HP) | 474 | 474 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Image Super-Resolution (Q) | 1151 | 1151 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Text Classification (SP) | 272 | 272 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Text Classification (HP) | 469 | 469 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Text Classification (Q) | 679 | 679 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Machine Translation (SP) | 591 | 591 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Machine Translation (HP) | 582 | 582 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
| Machine Translation (Q) | 334 | 334 | 100.0% |
| realme RMX5051 | |||
| realme RMX5051 | |||
