realme RMX3785 vs realme RMX3785
| realme RMX3785 | realme RMX3785 | Difference | |
|---|---|---|---|
| Single Precision | 512 | 512 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Half Precision | 508 | 508 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Quantized | 942 | 942 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX3785 | realme RMX3785 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | realme RMX3785 | realme RMX3785 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | k6835v1_64 | k6835v1_64 |
| Memory | 7.46 GB | 7.46 GB |
AI Performance
| realme RMX3785 | realme RMX3785 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 228 | 228 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Classification (HP) | 225 | 225 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Classification (Q) | 635 | 635 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Segmentation (SP) | 284 | 284 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Segmentation (HP) | 284 | 284 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Segmentation (Q) | 711 | 711 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Pose Estimation (SP) | 1117 | 1117 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Pose Estimation (HP) | 1105 | 1105 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Pose Estimation (Q) | 1635 | 1635 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Object Detection (SP) | 228 | 228 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Object Detection (HP) | 229 | 229 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Object Detection (Q) | 648 | 648 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Face Detection (SP) | 716 | 716 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Face Detection (HP) | 715 | 715 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Face Detection (Q) | 1466 | 1466 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Depth Estimation (SP) | 916 | 916 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Depth Estimation (HP) | 892 | 892 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Depth Estimation (Q) | 1496 | 1496 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Style Transfer (SP) | 1862 | 1862 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Style Transfer (HP) | 1871 | 1871 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Style Transfer (Q) | 3755 | 3755 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Super-Resolution (SP) | 477 | 477 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Super-Resolution (HP) | 475 | 475 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Super-Resolution (Q) | 917 | 917 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Text Classification (SP) | 273 | 273 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Text Classification (HP) | 270 | 270 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Text Classification (Q) | 469 | 469 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Machine Translation (SP) | 473 | 473 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Machine Translation (HP) | 466 | 466 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Machine Translation (Q) | 325 | 325 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
