samsung SM-A356N vs samsung SM-A356N
| samsung SM-A356N | samsung SM-A356N | Difference | |
|---|---|---|---|
| Single Precision | 750 | 750 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Half Precision | 775 | 775 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Quantized | 1616 | 1616 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
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 15 | Android 15 |
| 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) | 368 | 368 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (HP) | 381 | 381 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (Q) | 1274 | 1274 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (SP) | 461 | 461 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (HP) | 473 | 473 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (Q) | 1366 | 1366 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (SP) | 1580 | 1580 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (HP) | 1643 | 1643 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (Q) | 2965 | 2965 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (SP) | 346 | 346 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (HP) | 360 | 360 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (Q) | 1126 | 1126 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (SP) | 947 | 947 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (HP) | 977 | 977 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (Q) | 2863 | 2863 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (SP) | 1337 | 1337 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (HP) | 1469 | 1469 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (Q) | 2708 | 2708 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (SP) | 3027 | 3027 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (HP) | 3058 | 3058 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (Q) | 6931 | 6931 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (SP) | 726 | 726 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (HP) | 802 | 802 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (Q) | 1569 | 1569 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (SP) | 369 | 369 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (HP) | 369 | 369 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (Q) | 694 | 694 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (SP) | 592 | 592 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (HP) | 567 | 567 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (Q) | 359 | 359 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
