realme RMX5011 vs realme RMX5011
| realme RMX5011 | realme RMX5011 | Difference | |
|---|---|---|---|
| Single Precision | 1051 | 1051 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Half Precision | 1745 | 1745 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Quantized | 1568 | 1568 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5011 | realme RMX5011 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5011 | realme RMX5011 |
| Processor |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Motherboard | sun | sun |
| Memory | 14.75 GB | 14.75 GB |
AI Performance
| realme RMX5011 | realme RMX5011 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 675 | 675 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Classification (HP) | 999 | 999 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Classification (Q) | 771 | 771 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (SP) | 1484 | 1484 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (HP) | 2345 | 2345 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (Q) | 1893 | 1893 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (SP) | 1562 | 1562 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (HP) | 2440 | 2440 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (Q) | 2446 | 2446 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (SP) | 530 | 530 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (HP) | 1114 | 1114 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (Q) | 1012 | 1012 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (SP) | 2717 | 2717 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (HP) | 3048 | 3048 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (Q) | 3724 | 3724 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (SP) | 1527 | 1527 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (HP) | 4258 | 4258 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (Q) | 3578 | 3578 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (SP) | 5767 | 5767 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (HP) | 12363 | 12363 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (Q) | 12259 | 12259 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (SP) | 639 | 639 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (HP) | 1952 | 1952 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (Q) | 1927 | 1927 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (SP) | 273 | 273 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (HP) | 275 | 275 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (Q) | 424 | 424 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (SP) | 478 | 478 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (HP) | 480 | 480 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (Q) | 187 | 187 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
