realme RMX5079 vs realme RMX5079
| realme RMX5079 | realme RMX5079 | Difference | |
|---|---|---|---|
| Single Precision | 194 | 194 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Half Precision | 189 | 189 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Quantized | 9929 | 9929 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5079 | realme RMX5079 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | QNN | QNN |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5079 | realme RMX5079 |
| 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 RMX5079 | realme RMX5079 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 112 | 112 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Image Classification (HP) | 112 | 112 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Image Classification (Q) | 9536 | 9536 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Image Segmentation (SP) | 151 | 151 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Image Segmentation (HP) | 151 | 151 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Image Segmentation (Q) | 6268 | 6268 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Pose Estimation (SP) | 203 | 203 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Pose Estimation (HP) | 203 | 203 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Pose Estimation (Q) | 28466 | 28466 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Object Detection (SP) | 110 | 110 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Object Detection (HP) | 110 | 110 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Object Detection (Q) | 4199 | 4199 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Face Detection (SP) | 302 | 302 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Face Detection (HP) | 303 | 303 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Face Detection (Q) | 22938 | 22938 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Depth Estimation (SP) | 254 | 254 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Depth Estimation (HP) | 254 | 254 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Depth Estimation (Q) | 19880 | 19880 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Style Transfer (SP) | 450 | 450 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Style Transfer (HP) | 449 | 449 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Style Transfer (Q) | 63447 | 63447 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Image Super-Resolution (SP) | 124 | 124 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Image Super-Resolution (HP) | 124 | 124 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Image Super-Resolution (Q) | 15977 | 15977 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Text Classification (SP) | 164 | 164 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Text Classification (HP) | 178 | 178 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Text Classification (Q) | 4041 | 4041 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Machine Translation (SP) | 295 | 295 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Machine Translation (HP) | 209 | 209 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
| Machine Translation (Q) | 698 | 698 | 100.0% |
| realme RMX5079 | |||
| realme RMX5079 | |||
