realme RMX5011 vs realme RMX5011
| realme RMX5011 | realme RMX5011 | Difference | |
|---|---|---|---|
| Single Precision | 265 | 265 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Half Precision | 245 | 245 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Quantized | 568 | 568 | 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 | 10.86 GB | 10.86 GB |
AI Performance
| realme RMX5011 | realme RMX5011 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 296 | 296 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Classification (HP) | 305 | 305 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Classification (Q) | 1056 | 1056 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (SP) | 376 | 376 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (HP) | 171 | 171 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (Q) | 345 | 345 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (SP) | 229 | 229 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (HP) | 229 | 229 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (Q) | 860 | 860 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (SP) | 126 | 126 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (HP) | 125 | 125 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (Q) | 350 | 350 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (SP) | 352 | 352 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (HP) | 358 | 358 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (Q) | 767 | 767 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (SP) | 297 | 297 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (HP) | 297 | 297 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (Q) | 682 | 682 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (SP) | 556 | 556 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (HP) | 556 | 556 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (Q) | 1520 | 1520 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (SP) | 146 | 146 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (HP) | 145 | 145 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (Q) | 501 | 501 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (SP) | 190 | 190 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (HP) | 186 | 186 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (Q) | 308 | 308 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (SP) | 335 | 335 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (HP) | 339 | 339 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (Q) | 263 | 263 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
