samsung SM-A356N vs samsung SM-A356N
| samsung SM-A356N | samsung SM-A356N | Difference | |
|---|---|---|---|
| Single Precision | 698 | 698 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Half Precision | 696 | 696 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Quantized | 1432 | 1432 | 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) | 388 | 388 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (HP) | 389 | 389 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (Q) | 1267 | 1267 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (SP) | 466 | 466 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (HP) | 481 | 481 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (Q) | 1428 | 1428 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (SP) | 1588 | 1588 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (HP) | 1496 | 1496 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (Q) | 2631 | 2631 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (SP) | 313 | 313 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (HP) | 310 | 310 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (Q) | 958 | 958 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (SP) | 994 | 994 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (HP) | 998 | 998 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (Q) | 2354 | 2354 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (SP) | 1211 | 1211 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (HP) | 1257 | 1257 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (Q) | 2255 | 2255 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (SP) | 2502 | 2502 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (HP) | 2518 | 2518 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (Q) | 5721 | 5721 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (SP) | 645 | 645 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (HP) | 643 | 643 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (Q) | 1355 | 1355 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (SP) | 320 | 320 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (HP) | 318 | 318 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (Q) | 606 | 606 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (SP) | 492 | 492 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (HP) | 477 | 477 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (Q) | 319 | 319 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
