realme RMX3636 vs realme RMX3636
| realme RMX3636 | realme RMX3636 | Difference | |
|---|---|---|---|
| Single Precision | 415 | 415 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Half Precision | 414 | 414 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Quantized | 726 | 726 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| realme RMX3636 | realme RMX3636 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX3636 | realme RMX3636 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | k6789v1_64 | k6789v1_64 |
| Memory | 7.51 GB | 7.51 GB |
AI Performance
| realme RMX3636 | realme RMX3636 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 169 | 169 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Image Classification (HP) | 182 | 182 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Image Classification (Q) | 498 | 498 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Image Segmentation (SP) | 232 | 232 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Image Segmentation (HP) | 215 | 215 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Image Segmentation (Q) | 574 | 574 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Pose Estimation (SP) | 882 | 882 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Pose Estimation (HP) | 931 | 931 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Pose Estimation (Q) | 1286 | 1286 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Object Detection (SP) | 182 | 182 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Object Detection (HP) | 182 | 182 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Object Detection (Q) | 485 | 485 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Face Detection (SP) | 630 | 630 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Face Detection (HP) | 628 | 628 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Face Detection (Q) | 1151 | 1151 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Depth Estimation (SP) | 815 | 815 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Depth Estimation (HP) | 780 | 780 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Depth Estimation (Q) | 1164 | 1164 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Style Transfer (SP) | 1579 | 1579 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Style Transfer (HP) | 1517 | 1517 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Style Transfer (Q) | 2958 | 2958 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Image Super-Resolution (SP) | 412 | 412 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Image Super-Resolution (HP) | 411 | 411 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Image Super-Resolution (Q) | 690 | 690 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Text Classification (SP) | 197 | 197 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Text Classification (HP) | 197 | 197 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Text Classification (Q) | 340 | 340 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Machine Translation (SP) | 371 | 371 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Machine Translation (HP) | 373 | 373 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
| Machine Translation (Q) | 247 | 247 | 100.0% |
| realme RMX3636 | |||
| realme RMX3636 | |||
