samsung SM-X216B vs samsung SM-X216B
| samsung SM-X216B | samsung SM-X216B | Difference | |
|---|---|---|---|
| Single Precision | 509 | 509 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Half Precision | 510 | 510 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Quantized | 997 | 997 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-X216B | samsung SM-X216B | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-X216B | samsung SM-X216B |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Motherboard | holi | holi |
| Memory | 3.32 GB | 3.32 GB |
AI Performance
| samsung SM-X216B | samsung SM-X216B | Difference | |
|---|---|---|---|
| Image Classification (SP) | 232 | 232 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (HP) | 221 | 221 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (Q) | 683 | 683 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (SP) | 291 | 291 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (HP) | 296 | 296 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (Q) | 778 | 778 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (SP) | 1002 | 1002 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (HP) | 1037 | 1037 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (Q) | 1572 | 1572 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (SP) | 206 | 206 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (HP) | 212 | 212 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (Q) | 673 | 673 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (SP) | 715 | 715 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (HP) | 715 | 715 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (Q) | 1578 | 1578 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (SP) | 928 | 928 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (HP) | 930 | 930 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (Q) | 1549 | 1549 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (SP) | 1785 | 1785 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (HP) | 1844 | 1844 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (Q) | 3630 | 3630 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (SP) | 527 | 527 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (HP) | 504 | 504 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (Q) | 936 | 936 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (SP) | 294 | 294 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (HP) | 290 | 290 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (Q) | 586 | 586 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (SP) | 460 | 460 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (HP) | 462 | 462 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (Q) | 358 | 358 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
