samsung SM-A356N vs samsung SM-A356N
| samsung SM-A356N | samsung SM-A356N | Difference | |
|---|---|---|---|
| Single Precision | 778 | 778 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Half Precision | 748 | 748 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Quantized | 1536 | 1536 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| samsung SM-A356N | samsung SM-A356N | |
|---|---|---|
| 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-A356N | samsung SM-A356N |
| 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 1 part 3393 revision 1 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Motherboard | s5e8835 | s5e8835 |
| Memory | 5.30 GB | 5.30 GB |
AI Performance
| samsung SM-A356N | samsung SM-A356N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 422 | 422 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (HP) | 386 | 386 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (Q) | 1270 | 1270 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (SP) | 460 | 460 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (HP) | 454 | 454 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (Q) | 1438 | 1438 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (SP) | 1751 | 1751 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (HP) | 1519 | 1519 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (Q) | 2676 | 2676 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (SP) | 343 | 343 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (HP) | 348 | 348 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (Q) | 1041 | 1041 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (SP) | 1048 | 1048 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (HP) | 913 | 913 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (Q) | 2383 | 2383 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (SP) | 1293 | 1293 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (HP) | 1290 | 1290 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (Q) | 2561 | 2561 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (SP) | 2919 | 2919 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (HP) | 2927 | 2927 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (Q) | 6574 | 6574 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (SP) | 804 | 804 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (HP) | 803 | 803 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (Q) | 1557 | 1557 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (SP) | 374 | 374 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (HP) | 376 | 376 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (Q) | 711 | 711 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (SP) | 592 | 592 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (HP) | 571 | 571 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (Q) | 324 | 324 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
