realme RMX3999 vs realme RMX3999
| realme RMX3999 | realme RMX3999 | Difference | |
|---|---|---|---|
| Single Precision | 516 | 516 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Half Precision | 517 | 517 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Quantized | 955 | 955 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| realme RMX3999 | realme RMX3999 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | realme RMX3999 | realme RMX3999 |
| 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 | 7.45 GB | 7.45 GB |
AI Performance
| realme RMX3999 | realme RMX3999 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 231 | 231 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Classification (HP) | 229 | 229 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Classification (Q) | 649 | 649 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Segmentation (SP) | 285 | 285 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Segmentation (HP) | 284 | 284 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Segmentation (Q) | 713 | 713 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Pose Estimation (SP) | 1134 | 1134 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Pose Estimation (HP) | 1128 | 1128 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Pose Estimation (Q) | 1646 | 1646 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Object Detection (SP) | 231 | 231 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Object Detection (HP) | 231 | 231 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Object Detection (Q) | 652 | 652 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Face Detection (SP) | 717 | 717 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Face Detection (HP) | 724 | 724 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Face Detection (Q) | 1478 | 1478 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Depth Estimation (SP) | 943 | 943 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Depth Estimation (HP) | 938 | 938 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Depth Estimation (Q) | 1515 | 1515 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Style Transfer (SP) | 1850 | 1850 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Style Transfer (HP) | 1893 | 1893 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Style Transfer (Q) | 3780 | 3780 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Super-Resolution (SP) | 475 | 475 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Super-Resolution (HP) | 477 | 477 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Image Super-Resolution (Q) | 916 | 916 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Text Classification (SP) | 276 | 276 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Text Classification (HP) | 275 | 275 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Text Classification (Q) | 484 | 484 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Machine Translation (SP) | 476 | 476 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Machine Translation (HP) | 478 | 478 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
| Machine Translation (Q) | 339 | 339 | 100.0% |
| realme RMX3999 | |||
| realme RMX3999 | |||
