samsung SM-A366W vs samsung SM-A366W
| samsung SM-A366W | samsung SM-A366W | Difference | |
|---|---|---|---|
| Single Precision | 928 | 928 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Half Precision | 1642 | 1642 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Quantized | 2063 | 2063 | 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) | 454 | 454 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (HP) | 938 | 938 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Classification (Q) | 1436 | 1436 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (SP) | 539 | 539 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (HP) | 1048 | 1048 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Segmentation (Q) | 1675 | 1675 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (SP) | 2033 | 2033 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (HP) | 4157 | 4157 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Pose Estimation (Q) | 3696 | 3696 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (SP) | 455 | 455 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (HP) | 891 | 891 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Object Detection (Q) | 1351 | 1351 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (SP) | 1143 | 1143 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (HP) | 2165 | 2165 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Face Detection (Q) | 3416 | 3416 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (SP) | 1583 | 1583 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (HP) | 3189 | 3189 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Depth Estimation (Q) | 3292 | 3292 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (SP) | 3721 | 3721 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (HP) | 4853 | 4853 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Style Transfer (Q) | 8266 | 8266 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (SP) | 865 | 865 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (HP) | 1719 | 1719 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Image Super-Resolution (Q) | 2075 | 2075 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (SP) | 490 | 490 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (HP) | 799 | 799 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Text Classification (Q) | 944 | 944 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (SP) | 741 | 741 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (HP) | 851 | 851 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
| Machine Translation (Q) | 639 | 639 | 100.0% |
| samsung SM-A366W | |||
| samsung SM-A366W | |||
