realme RMX3785 vs realme RMX3785
| realme RMX3785 | realme RMX3785 | Difference | |
|---|---|---|---|
| Single Precision | 510 | 510 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Half Precision | 508 | 508 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Quantized | 947 | 947 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
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) | 224 | 224 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Classification (HP) | 228 | 228 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Classification (Q) | 639 | 639 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Segmentation (SP) | 282 | 282 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Segmentation (HP) | 283 | 283 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Segmentation (Q) | 710 | 710 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Pose Estimation (SP) | 1119 | 1119 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Pose Estimation (HP) | 1121 | 1121 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Pose Estimation (Q) | 1641 | 1641 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Object Detection (SP) | 229 | 229 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Object Detection (HP) | 229 | 229 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Object Detection (Q) | 646 | 646 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Face Detection (SP) | 714 | 714 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Face Detection (HP) | 717 | 717 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Face Detection (Q) | 1478 | 1478 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Depth Estimation (SP) | 893 | 893 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Depth Estimation (HP) | 833 | 833 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Depth Estimation (Q) | 1511 | 1511 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Style Transfer (SP) | 1878 | 1878 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Style Transfer (HP) | 1891 | 1891 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Style Transfer (Q) | 3779 | 3779 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Super-Resolution (SP) | 474 | 474 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Super-Resolution (HP) | 483 | 483 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Image Super-Resolution (Q) | 919 | 919 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Text Classification (SP) | 276 | 276 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Text Classification (HP) | 274 | 274 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Text Classification (Q) | 483 | 483 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Machine Translation (SP) | 472 | 472 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Machine Translation (HP) | 470 | 470 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
| Machine Translation (Q) | 324 | 324 | 100.0% |
| realme RMX3785 | |||
| realme RMX3785 | |||
