realme RMX5070 vs realme RMX5070
| realme RMX5070 | realme RMX5070 | Difference | |
|---|---|---|---|
| Single Precision | 1094 | 1094 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Half Precision | 1099 | 1099 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Quantized | 1965 | 1965 | 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 | 7.24 GB | 7.24 GB |
AI Performance
| realme RMX5070 | realme RMX5070 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 860 | 860 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Classification (HP) | 857 | 857 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Classification (Q) | 1478 | 1478 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Segmentation (SP) | 806 | 806 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Segmentation (HP) | 802 | 802 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Segmentation (Q) | 1970 | 1970 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Pose Estimation (SP) | 1924 | 1924 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Pose Estimation (HP) | 1888 | 1888 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Pose Estimation (Q) | 5202 | 5202 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Object Detection (SP) | 752 | 752 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Object Detection (HP) | 764 | 764 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Object Detection (Q) | 1194 | 1194 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Face Detection (SP) | 1158 | 1158 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Face Detection (HP) | 1169 | 1169 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Face Detection (Q) | 3244 | 3244 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Depth Estimation (SP) | 1523 | 1523 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Depth Estimation (HP) | 1629 | 1629 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Depth Estimation (Q) | 3785 | 3785 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Style Transfer (SP) | 4218 | 4218 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Style Transfer (HP) | 4438 | 4438 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Style Transfer (Q) | 11116 | 11116 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Super-Resolution (SP) | 692 | 692 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Super-Resolution (HP) | 681 | 681 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Image Super-Resolution (Q) | 1968 | 1968 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Text Classification (SP) | 533 | 533 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Text Classification (HP) | 508 | 508 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Text Classification (Q) | 575 | 575 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Machine Translation (SP) | 899 | 899 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Machine Translation (HP) | 887 | 887 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
| Machine Translation (Q) | 308 | 308 | 100.0% |
| realme RMX5070 | |||
| realme RMX5070 | |||
