samsung SM-A366W vs samsung SM-A366W
| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Single Precision | 925 | 925 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Half Precision | 1662 | 1662 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Quantized | 2105 | 2105 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Geekbench AI 1.7.0 | Geekbench AI 1.7.0 | ||
System Information
| samsung SM-A366W | samsung SM-A366W | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 16 | Android 16 |
| Model | samsung SM-A366W | samsung SM-A366W |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Motherboard | parrot | parrot |
| Memory | 5.25 GB | 5.25 GB |
AI Performance
| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Image Classification (SP) | 456 | 456 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (HP) | 937 | 937 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (Q) | 1442 | 1442 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (SP) | 530 | 530 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (HP) | 1040 | 1040 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (Q) | 1667 | 1667 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (SP) | 2018 | 2018 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (HP) | 4322 | 4322 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (Q) | 3816 | 3816 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (SP) | 457 | 457 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (HP) | 909 | 909 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (Q) | 1392 | 1392 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (SP) | 1147 | 1147 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (HP) | 2141 | 2141 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (Q) | 3445 | 3445 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (SP) | 1596 | 1596 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (HP) | 3215 | 3215 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (Q) | 3420 | 3420 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (SP) | 3710 | 3710 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (HP) | 4839 | 4839 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (Q) | 8563 | 8563 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (SP) | 848 | 848 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (HP) | 1718 | 1718 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (Q) | 2079 | 2079 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (SP) | 493 | 493 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (HP) | 808 | 808 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (Q) | 928 | 928 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (SP) | 729 | 729 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (HP) | 909 | 909 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (Q) | 690 | 690 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
