realme RMX5011 vs realme RMX5011
| realme RMX5011 | realme RMX5011 | Difference | |
|---|---|---|---|
| Single Precision | 158 | 158 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Half Precision | 159 | 159 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Quantized | 357 | 357 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5011 | realme RMX5011 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5011 | realme RMX5011 |
| 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 | 14.75 GB | 14.75 GB |
AI Performance
| realme RMX5011 | realme RMX5011 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 88 | 88 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Classification (HP) | 89 | 89 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Classification (Q) | 238 | 238 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (SP) | 115 | 115 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (HP) | 121 | 121 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (Q) | 239 | 239 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (SP) | 161 | 161 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (HP) | 161 | 161 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (Q) | 607 | 607 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (SP) | 88 | 88 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (HP) | 89 | 89 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (Q) | 245 | 245 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (SP) | 251 | 251 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (HP) | 254 | 254 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (Q) | 527 | 527 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (SP) | 214 | 214 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (HP) | 215 | 215 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (Q) | 482 | 482 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (SP) | 410 | 410 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (HP) | 404 | 404 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (Q) | 1126 | 1126 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (SP) | 103 | 103 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (HP) | 102 | 102 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (Q) | 353 | 353 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (SP) | 129 | 129 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (HP) | 130 | 130 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (Q) | 216 | 216 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (SP) | 245 | 245 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (HP) | 242 | 242 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (Q) | 187 | 187 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
