samsung SM-X216B vs samsung SM-X216B
| samsung SM-X216B | samsung SM-X216B | Difference | |
|---|---|---|---|
| Single Precision | 548 | 548 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Half Precision | 545 | 545 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Quantized | 1059 | 1059 | 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 | 7.21 GB | 7.21 GB |
AI Performance
| samsung SM-X216B | samsung SM-X216B | Difference | |
|---|---|---|---|
| Image Classification (SP) | 238 | 238 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (HP) | 237 | 237 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (Q) | 715 | 715 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (SP) | 313 | 313 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (HP) | 312 | 312 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (Q) | 826 | 826 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (SP) | 1180 | 1180 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (HP) | 1157 | 1157 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (Q) | 1736 | 1736 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (SP) | 232 | 232 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (HP) | 234 | 234 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (Q) | 716 | 716 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (SP) | 768 | 768 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (HP) | 766 | 766 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (Q) | 1719 | 1719 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (SP) | 1016 | 1016 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (HP) | 1018 | 1018 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (Q) | 1619 | 1619 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (SP) | 1963 | 1963 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (HP) | 1954 | 1954 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (Q) | 4007 | 4007 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (SP) | 546 | 546 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (HP) | 542 | 542 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (Q) | 1006 | 1006 | 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) | 581 | 581 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (SP) | 491 | 491 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (HP) | 485 | 485 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (Q) | 373 | 373 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
