samsung SM-A356N vs samsung SM-A356N
| samsung SM-A356N | samsung SM-A356N | Difference | |
|---|---|---|---|
| Single Precision | 635 | 635 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Half Precision | 622 | 622 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Quantized | 1216 | 1216 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
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) | 249 | 249 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (HP) | 253 | 253 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (Q) | 792 | 792 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (SP) | 341 | 341 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (HP) | 387 | 387 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (Q) | 1051 | 1051 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (SP) | 1482 | 1482 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (HP) | 1421 | 1421 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (Q) | 2238 | 2238 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (SP) | 277 | 277 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (HP) | 284 | 284 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (Q) | 814 | 814 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (SP) | 889 | 889 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (HP) | 857 | 857 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (Q) | 2149 | 2149 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (SP) | 1235 | 1235 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (HP) | 1184 | 1184 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (Q) | 2096 | 2096 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (SP) | 2550 | 2550 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (HP) | 2377 | 2377 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (Q) | 5140 | 5140 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (SP) | 680 | 680 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (HP) | 719 | 719 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (Q) | 1331 | 1331 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (SP) | 293 | 293 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (HP) | 285 | 285 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (Q) | 552 | 552 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (SP) | 549 | 549 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (HP) | 444 | 444 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (Q) | 276 | 276 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
