realme RMX5085 vs realme RMX5085
| realme RMX5085 | realme RMX5085 | Difference | |
|---|---|---|---|
| Single Precision | 736 | 736 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Half Precision | 893 | 893 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Quantized | 878 | 878 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5085 | realme RMX5085 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5085 | realme RMX5085 |
| Processor |
ARM ARMv8 @ 2.10 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.10 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 |
| Motherboard | k6899v1_64 | k6899v1_64 |
| Memory | 11.19 GB | 11.19 GB |
AI Performance
| realme RMX5085 | realme RMX5085 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 601 | 601 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Image Classification (HP) | 606 | 606 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Image Classification (Q) | 603 | 603 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Image Segmentation (SP) | 677 | 677 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Image Segmentation (HP) | 963 | 963 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Image Segmentation (Q) | 1011 | 1011 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Pose Estimation (SP) | 669 | 669 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Pose Estimation (HP) | 984 | 984 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Pose Estimation (Q) | 976 | 976 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Object Detection (SP) | 493 | 493 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Object Detection (HP) | 791 | 791 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Object Detection (Q) | 707 | 707 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Face Detection (SP) | 2105 | 2105 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Face Detection (HP) | 2766 | 2766 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Face Detection (Q) | 2376 | 2376 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Depth Estimation (SP) | 1172 | 1172 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Depth Estimation (HP) | 1503 | 1503 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Depth Estimation (Q) | 1215 | 1215 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Style Transfer (SP) | 3405 | 3405 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Style Transfer (HP) | 4520 | 4520 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Style Transfer (Q) | 4454 | 4454 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Image Super-Resolution (SP) | 678 | 678 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Image Super-Resolution (HP) | 896 | 896 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Image Super-Resolution (Q) | 867 | 867 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Text Classification (SP) | 187 | 187 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Text Classification (HP) | 187 | 187 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Text Classification (Q) | 314 | 314 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Machine Translation (SP) | 329 | 329 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Machine Translation (HP) | 226 | 226 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
| Machine Translation (Q) | 185 | 185 | 100.0% |
| realme RMX5085 | |||
| realme RMX5085 | |||
