realme RMX5210 vs realme RMX5210
| realme RMX5210 | realme RMX5210 | Difference | |
|---|---|---|---|
| Single Precision | 320 | 320 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Half Precision | 342 | 342 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Quantized | 678 | 678 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| realme RMX5210 | realme RMX5210 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 16 | Android 16 |
| Model | realme RMX5210 | realme RMX5210 |
| Processor |
Qualcomm ARMv8 @ 3.63 GHz
1 Processor, 8 Cores |
Qualcomm ARMv8 @ 3.63 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Motherboard | canoe | canoe |
| Memory | 14.80 GB | 14.80 GB |
AI Performance
| realme RMX5210 | realme RMX5210 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 384 | 384 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Image Classification (HP) | 305 | 305 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Image Classification (Q) | 689 | 689 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Image Segmentation (SP) | 176 | 176 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Image Segmentation (HP) | 281 | 281 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Image Segmentation (Q) | 366 | 366 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Pose Estimation (SP) | 325 | 325 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Pose Estimation (HP) | 336 | 336 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Pose Estimation (Q) | 880 | 880 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Object Detection (SP) | 205 | 205 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Object Detection (HP) | 211 | 211 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Object Detection (Q) | 575 | 575 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Face Detection (SP) | 349 | 349 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Face Detection (HP) | 351 | 351 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Face Detection (Q) | 799 | 799 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Depth Estimation (SP) | 338 | 338 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Depth Estimation (HP) | 500 | 500 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Depth Estimation (Q) | 1097 | 1097 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Style Transfer (SP) | 821 | 821 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Style Transfer (HP) | 686 | 686 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Style Transfer (Q) | 1787 | 1787 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Image Super-Resolution (SP) | 154 | 154 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Image Super-Resolution (HP) | 250 | 250 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Image Super-Resolution (Q) | 865 | 865 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Text Classification (SP) | 310 | 310 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Text Classification (HP) | 312 | 312 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Text Classification (Q) | 331 | 331 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Machine Translation (SP) | 556 | 556 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Machine Translation (HP) | 385 | 385 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
| Machine Translation (Q) | 359 | 359 | 100.0% |
| realme RMX5210 | |||
| realme RMX5210 | |||
