samsung SM-A356N vs samsung SM-A356N
| samsung SM-A356N | samsung SM-A356N | Difference | |
|---|---|---|---|
| Single Precision | 669 | 669 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Half Precision | 679 | 679 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Quantized | 1394 | 1394 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
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) | 304 | 304 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (HP) | 315 | 315 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Classification (Q) | 966 | 966 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (SP) | 373 | 373 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (HP) | 387 | 387 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Segmentation (Q) | 1189 | 1189 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (SP) | 1603 | 1603 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (HP) | 1528 | 1528 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Pose Estimation (Q) | 2638 | 2638 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (SP) | 311 | 311 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (HP) | 363 | 363 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Object Detection (Q) | 942 | 942 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (SP) | 992 | 992 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (HP) | 864 | 864 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Face Detection (Q) | 2369 | 2369 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (SP) | 1147 | 1147 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (HP) | 1182 | 1182 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Depth Estimation (Q) | 2362 | 2362 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (SP) | 2600 | 2600 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (HP) | 2583 | 2583 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Style Transfer (Q) | 6031 | 6031 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (SP) | 623 | 623 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (HP) | 664 | 664 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Image Super-Resolution (Q) | 1429 | 1429 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (SP) | 342 | 342 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (HP) | 349 | 349 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Text Classification (Q) | 639 | 639 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (SP) | 506 | 506 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (HP) | 506 | 506 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
| Machine Translation (Q) | 317 | 317 | 100.0% |
| samsung SM-A356N | |||
| samsung SM-A356N | |||
