| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Single Precision | 928 | 928 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Half Precision | 904 | 904 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Quantized | 1954 | 1954 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
| 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 |
| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Image Classification (SP) | 460 | 460 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (HP) | 458 | 458 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (Q) | 1446 | 1446 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (SP) | 541 | 541 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (HP) | 542 | 542 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (Q) | 1664 | 1664 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (SP) | 2014 | 2014 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (HP) | 2013 | 2013 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (Q) | 3769 | 3769 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (SP) | 454 | 454 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (HP) | 394 | 394 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (Q) | 1176 | 1176 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (SP) | 1134 | 1134 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (HP) | 1143 | 1143 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (Q) | 3382 | 3382 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (SP) | 1601 | 1601 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (HP) | 1563 | 1563 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (Q) | 3291 | 3291 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (SP) | 3697 | 3697 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (HP) | 3638 | 3638 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (Q) | 8288 | 8288 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (SP) | 864 | 864 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (HP) | 879 | 879 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (Q) | 2037 | 2037 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (SP) | 495 | 495 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (HP) | 491 | 491 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (Q) | 927 | 927 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (SP) | 732 | 732 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (HP) | 660 | 660 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (Q) | 438 | 438 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||