samsung SM-X216B vs samsung SM-X216B
| samsung SM-X216B | samsung SM-X216B | Difference | |
|---|---|---|---|
| Single Precision | 546 | 546 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Half Precision | 548 | 548 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Quantized | 1062 | 1062 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
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 15 | Android 15 |
| 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) | 241 | 241 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (HP) | 241 | 241 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (Q) | 730 | 730 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (SP) | 316 | 316 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (HP) | 316 | 316 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (Q) | 831 | 831 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (SP) | 1136 | 1136 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (HP) | 1159 | 1159 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (Q) | 1738 | 1738 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (SP) | 232 | 232 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (HP) | 235 | 235 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (Q) | 724 | 724 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (SP) | 776 | 776 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (HP) | 775 | 775 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (Q) | 1721 | 1721 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (SP) | 1013 | 1013 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (HP) | 1019 | 1019 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (Q) | 1638 | 1638 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (SP) | 1962 | 1962 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (HP) | 1986 | 1986 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (Q) | 3977 | 3977 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (SP) | 538 | 538 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (HP) | 537 | 537 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (Q) | 1012 | 1012 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (SP) | 297 | 297 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (HP) | 294 | 294 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (Q) | 596 | 596 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (SP) | 478 | 478 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (HP) | 482 | 482 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (Q) | 354 | 354 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
