samsung SM-F766N vs samsung SM-F766N
| samsung SM-F766N | samsung SM-F766N | Difference | |
|---|---|---|---|
| Single Precision | 2094 | 2094 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Half Precision | 2100 | 2100 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Quantized | 3418 | 3418 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-F766N | samsung SM-F766N | |
|---|---|---|
| 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-F766N | samsung SM-F766N |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 10 Cores |
ARM ARMv8 @ 1.80 GHz
1 Processor, 10 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Motherboard | s5e9955 | s5e9955 |
| Memory | 10.95 GB | 10.95 GB |
AI Performance
| samsung SM-F766N | samsung SM-F766N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1392 | 1392 | 100.0% |
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| samsung SM-F766N | |||
| Image Classification (HP) | 1410 | 1410 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Classification (Q) | 2580 | 2580 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (SP) | 1777 | 1777 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (HP) | 1898 | 1898 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (Q) | 3016 | 3016 | 100.0% |
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| samsung SM-F766N | |||
| Pose Estimation (SP) | 3775 | 3775 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Pose Estimation (HP) | 3717 | 3717 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Pose Estimation (Q) | 8780 | 8780 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (SP) | 1482 | 1482 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (HP) | 1473 | 1473 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (Q) | 2350 | 2350 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Face Detection (SP) | 3153 | 3153 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Face Detection (HP) | 3085 | 3085 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Face Detection (Q) | 6054 | 6054 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (SP) | 3619 | 3619 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (HP) | 3635 | 3635 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (Q) | 6146 | 6146 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (SP) | 8715 | 8715 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (HP) | 9103 | 9103 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (Q) | 16450 | 16450 | 100.0% |
| samsung SM-F766N | |||
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| Image Super-Resolution (SP) | 1543 | 1543 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Super-Resolution (HP) | 1581 | 1581 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Super-Resolution (Q) | 4028 | 4028 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (SP) | 627 | 627 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (HP) | 629 | 629 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (Q) | 961 | 961 | 100.0% |
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| samsung SM-F766N | |||
| Machine Translation (SP) | 1220 | 1220 | 100.0% |
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| samsung SM-F766N | |||
| Machine Translation (HP) | 1125 | 1125 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Machine Translation (Q) | 573 | 573 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
