samsung SM-F966N vs samsung SM-F966N
| samsung SM-F966N | samsung SM-F966N | Difference | |
|---|---|---|---|
| Single Precision | 2725 | 2725 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Half Precision | 4155 | 4155 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Quantized | 3762 | 3762 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-F966N | samsung SM-F966N | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 16 | Android 16 |
| Model | samsung SM-F966N | samsung SM-F966N |
| Processor |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Motherboard | sun | sun |
| Memory | 14.75 GB | 14.75 GB |
AI Performance
| samsung SM-F966N | samsung SM-F966N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1635 | 1635 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Classification (HP) | 2295 | 2295 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Classification (Q) | 2822 | 2822 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Segmentation (SP) | 3197 | 3197 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Segmentation (HP) | 5140 | 5140 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Segmentation (Q) | 5819 | 5819 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Pose Estimation (SP) | 13624 | 13624 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Pose Estimation (HP) | 24521 | 24521 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Pose Estimation (Q) | 23974 | 23974 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Object Detection (SP) | 1518 | 1518 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Object Detection (HP) | 1987 | 1987 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Object Detection (Q) | 1890 | 1890 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Face Detection (SP) | 5284 | 5284 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Face Detection (HP) | 9579 | 9579 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Face Detection (Q) | 8305 | 8305 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Depth Estimation (SP) | 7013 | 7013 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Depth Estimation (HP) | 9554 | 9554 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Depth Estimation (Q) | 7387 | 7387 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Style Transfer (SP) | 17299 | 17299 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Style Transfer (HP) | 37705 | 37705 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Style Transfer (Q) | 37555 | 37555 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Super-Resolution (SP) | 3702 | 3702 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Super-Resolution (HP) | 5556 | 5556 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Super-Resolution (Q) | 5670 | 5670 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Text Classification (SP) | 84 | 84 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Text Classification (HP) | 81 | 81 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Text Classification (Q) | 79 | 79 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Machine Translation (SP) | 1049 | 1049 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Machine Translation (HP) | 1720 | 1720 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Machine Translation (Q) | 741 | 741 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
