realme RMX5070 vs realme RMX5070
| realme RMX5070 | realme RMX5070 | Difference | |
|---|---|---|---|
| Single Precision | 998 | 998 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Half Precision | 1011 | 1011 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Quantized | 1618 | 1618 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5070 | realme RMX5070 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5070 | realme RMX5070 |
| 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 RMX5070 | realme RMX5070 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 833 | 833 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Classification (HP) | 761 | 761 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Classification (Q) | 1527 | 1527 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Segmentation (SP) | 768 | 768 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Segmentation (HP) | 749 | 749 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Segmentation (Q) | 833 | 833 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Pose Estimation (SP) | 1843 | 1843 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Pose Estimation (HP) | 1845 | 1845 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Pose Estimation (Q) | 5159 | 5159 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Object Detection (SP) | 793 | 793 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Object Detection (HP) | 790 | 790 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Object Detection (Q) | 1466 | 1466 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Face Detection (SP) | 1144 | 1144 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Face Detection (HP) | 1169 | 1169 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Face Detection (Q) | 1700 | 1700 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Depth Estimation (SP) | 1273 | 1273 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Depth Estimation (HP) | 1279 | 1279 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Depth Estimation (Q) | 4036 | 4036 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Style Transfer (SP) | 4201 | 4201 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Style Transfer (HP) | 4225 | 4225 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Style Transfer (Q) | 11286 | 11286 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Super-Resolution (SP) | 697 | 697 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Super-Resolution (HP) | 708 | 708 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Super-Resolution (Q) | 1138 | 1138 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Text Classification (SP) | 273 | 273 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Text Classification (HP) | 509 | 509 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Text Classification (Q) | 403 | 403 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Machine Translation (SP) | 906 | 906 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Machine Translation (HP) | 591 | 591 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Machine Translation (Q) | 360 | 360 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
