realme RMX5010 vs realme RMX5010
| realme RMX5010 | realme RMX5010 | Difference | |
|---|---|---|---|
| Single Precision | 2188 | 2188 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Half Precision | 2207 | 2207 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Quantized | 2634 | 2634 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5010 | realme RMX5010 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5010 | realme RMX5010 |
| Processor |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Motherboard | sun | sun |
| Memory | 10.86 GB | 10.86 GB |
AI Performance
| realme RMX5010 | realme RMX5010 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1362 | 1362 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Classification (HP) | 1538 | 1538 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Classification (Q) | 2700 | 2700 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (SP) | 2006 | 2006 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (HP) | 1934 | 1934 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (Q) | 3585 | 3585 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (SP) | 4385 | 4385 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (HP) | 4436 | 4436 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (Q) | 10270 | 10270 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (SP) | 1312 | 1312 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (HP) | 1257 | 1257 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (Q) | 1955 | 1955 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (SP) | 3412 | 3412 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (HP) | 3522 | 3522 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (Q) | 4662 | 4662 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (SP) | 3901 | 3901 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (HP) | 3783 | 3783 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (Q) | 5337 | 5337 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (SP) | 9152 | 9152 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (HP) | 9362 | 9362 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (Q) | 15489 | 15489 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (SP) | 1436 | 1436 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (HP) | 1455 | 1455 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (Q) | 2516 | 2516 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (SP) | 789 | 789 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (HP) | 785 | 785 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (Q) | 344 | 344 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (SP) | 1160 | 1160 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (HP) | 1163 | 1163 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (Q) | 248 | 248 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
