realme RMX5011 vs realme RMX5011
| realme RMX5011 | realme RMX5011 | Difference | |
|---|---|---|---|
| Single Precision | 1095 | 1095 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Half Precision | 1582 | 1582 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Quantized | 1517 | 1517 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| realme RMX5011 | realme RMX5011 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| 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) | 649 | 649 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Classification (HP) | 804 | 804 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Classification (Q) | 679 | 679 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (SP) | 1108 | 1108 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (HP) | 1157 | 1157 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Segmentation (Q) | 1169 | 1169 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (SP) | 1564 | 1564 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (HP) | 2450 | 2450 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Pose Estimation (Q) | 2453 | 2453 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (SP) | 532 | 532 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (HP) | 990 | 990 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Object Detection (Q) | 967 | 967 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (SP) | 2713 | 2713 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (HP) | 3030 | 3030 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Face Detection (Q) | 2490 | 2490 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (SP) | 1518 | 1518 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (HP) | 4275 | 4275 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Depth Estimation (Q) | 3564 | 3564 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (SP) | 5769 | 5769 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (HP) | 12459 | 12459 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Style Transfer (Q) | 12223 | 12223 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (SP) | 641 | 641 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (HP) | 1964 | 1964 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Image Super-Resolution (Q) | 1927 | 1927 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (SP) | 401 | 401 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (HP) | 399 | 399 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Text Classification (Q) | 617 | 617 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (SP) | 682 | 682 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (HP) | 346 | 346 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
| Machine Translation (Q) | 267 | 267 | 100.0% |
| realme RMX5011 | |||
| realme RMX5011 | |||
