realme RMX5061 vs realme RMX5061
| realme RMX5061 | realme RMX5061 | Difference | |
|---|---|---|---|
| Single Precision | 1011 | 1011 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Half Precision | 1085 | 1085 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Quantized | 1138 | 1138 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5061 | realme RMX5061 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5061 | realme RMX5061 |
| 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 0 part 3458 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Motherboard | k6989v2_64 | k6989v2_64 |
| Memory | 11.10 GB | 11.10 GB |
AI Performance
| realme RMX5061 | realme RMX5061 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 657 | 657 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Image Classification (HP) | 710 | 710 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Image Classification (Q) | 659 | 659 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Image Segmentation (SP) | 1443 | 1443 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Image Segmentation (HP) | 1602 | 1602 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Image Segmentation (Q) | 1551 | 1551 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Pose Estimation (SP) | 789 | 789 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Pose Estimation (HP) | 1204 | 1204 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Pose Estimation (Q) | 1185 | 1185 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Object Detection (SP) | 641 | 641 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Object Detection (HP) | 722 | 722 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Object Detection (Q) | 892 | 892 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Face Detection (SP) | 3084 | 3084 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Face Detection (HP) | 2322 | 2322 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Face Detection (Q) | 2093 | 2093 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Depth Estimation (SP) | 1659 | 1659 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Depth Estimation (HP) | 2241 | 2241 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Depth Estimation (Q) | 1813 | 1813 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Style Transfer (SP) | 4248 | 4248 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Style Transfer (HP) | 5557 | 5557 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Style Transfer (Q) | 5502 | 5502 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Image Super-Resolution (SP) | 813 | 813 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Image Super-Resolution (HP) | 1138 | 1138 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Image Super-Resolution (Q) | 1096 | 1096 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Text Classification (SP) | 297 | 297 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Text Classification (HP) | 299 | 299 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Text Classification (Q) | 469 | 469 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Machine Translation (SP) | 446 | 446 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Machine Translation (HP) | 234 | 234 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
| Machine Translation (Q) | 316 | 316 | 100.0% |
| realme RMX5061 | |||
| realme RMX5061 | |||
