samsung SM-A366W vs samsung SM-A366W
| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Single Precision | 536 | 536 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Half Precision | 939 | 939 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Quantized | 745 | 745 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-A366W | samsung SM-A366W | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| 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 | 5.16 GB | 5.16 GB |
AI Performance
| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Image Classification (SP) | 404 | 404 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (HP) | 685 | 685 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (Q) | 641 | 641 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (SP) | 589 | 589 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (HP) | 1036 | 1036 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (Q) | 978 | 978 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (SP) | 1967 | 1967 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (HP) | 3792 | 3792 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (Q) | 3765 | 3765 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (SP) | 360 | 360 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (HP) | 597 | 597 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (Q) | 563 | 563 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (SP) | 1018 | 1018 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (HP) | 2016 | 2016 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (Q) | 1739 | 1739 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (SP) | 1171 | 1171 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (HP) | 2301 | 2301 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (Q) | 1703 | 1703 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (SP) | 2168 | 2168 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (HP) | 4538 | 4538 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (Q) | 4510 | 4510 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (SP) | 540 | 540 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (HP) | 1027 | 1027 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (Q) | 1002 | 1002 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (SP) | 22 | 22 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (HP) | 35 | 35 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (Q) | 26 | 26 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (SP) | 383 | 383 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (HP) | 441 | 441 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (Q) | 115 | 115 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
