realme RMX5010 vs realme RMX5010
| realme RMX5010 | realme RMX5010 | Difference | |
|---|---|---|---|
| Single Precision | 982 | 982 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Half Precision | 1585 | 1585 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Quantized | 1584 | 1584 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5010 | realme RMX5010 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5010 | realme RMX5010 |
| 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 | 10.86 GB | 10.86 GB |
AI Performance
| realme RMX5010 | realme RMX5010 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 672 | 672 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Classification (HP) | 655 | 655 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Classification (Q) | 781 | 781 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (SP) | 1188 | 1188 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (HP) | 1272 | 1272 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (Q) | 1323 | 1323 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (SP) | 1628 | 1628 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (HP) | 2774 | 2774 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (Q) | 2774 | 2774 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (SP) | 537 | 537 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (HP) | 1188 | 1188 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (Q) | 1071 | 1071 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (SP) | 2949 | 2949 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (HP) | 4300 | 4300 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (Q) | 3546 | 3546 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (SP) | 1556 | 1556 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (HP) | 4531 | 4531 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (Q) | 3757 | 3757 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (SP) | 5769 | 5769 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (HP) | 12389 | 12389 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (Q) | 12345 | 12345 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (SP) | 632 | 632 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (HP) | 2109 | 2109 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (Q) | 2076 | 2076 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (SP) | 201 | 201 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (HP) | 199 | 199 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (Q) | 335 | 335 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (SP) | 356 | 356 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (HP) | 360 | 360 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (Q) | 284 | 284 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
