realme RMX5107 vs realme RMX5107
| realme RMX5107 | realme RMX5107 | Difference | |
|---|---|---|---|
| Single Precision | 547 | 547 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Half Precision | 817 | 817 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Quantized | 648 | 648 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Geekbench AI 1.6.1 | Geekbench AI 1.6.1 | ||
System Information
| realme RMX5107 | realme RMX5107 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 16 | Android 16 |
| Model | realme RMX5107 | realme RMX5107 |
| 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 1 part 3393 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Motherboard | RM6878 | RM6878 |
| Memory | 11.19 GB | 11.19 GB |
AI Performance
| realme RMX5107 | realme RMX5107 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 270 | 270 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Image Classification (HP) | 635 | 635 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Image Classification (Q) | 326 | 326 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Image Segmentation (SP) | 628 | 628 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Image Segmentation (HP) | 1059 | 1059 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Image Segmentation (Q) | 983 | 983 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Pose Estimation (SP) | 2514 | 2514 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Pose Estimation (HP) | 4382 | 4382 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Pose Estimation (Q) | 4302 | 4302 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Object Detection (SP) | 261 | 261 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Object Detection (HP) | 400 | 400 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Object Detection (Q) | 385 | 385 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Face Detection (SP) | 1154 | 1154 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Face Detection (HP) | 1761 | 1761 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Face Detection (Q) | 1520 | 1520 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Depth Estimation (SP) | 1536 | 1536 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Depth Estimation (HP) | 2469 | 2469 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Depth Estimation (Q) | 1993 | 1993 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Style Transfer (SP) | 4247 | 4247 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Style Transfer (HP) | 7617 | 7617 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Style Transfer (Q) | 7780 | 7780 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Image Super-Resolution (SP) | 727 | 727 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Image Super-Resolution (HP) | 1056 | 1056 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Image Super-Resolution (Q) | 1074 | 1074 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Text Classification (SP) | 12 | 12 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Text Classification (HP) | 8 | 8 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Text Classification (Q) | 10 | 10 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Machine Translation (SP) | 334 | 334 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Machine Translation (HP) | 406 | 406 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
| Machine Translation (Q) | 98 | 98 | 100.0% |
| realme RMX5107 | |||
| realme RMX5107 | |||
