samsung SM-F766N vs samsung SM-F766N
| samsung SM-F766N | samsung SM-F766N | Difference | |
|---|---|---|---|
| Single Precision | 502 | 502 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Half Precision | 493 | 493 | 100.0% |
| samsung SM-F766N | |||
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| Quantized | 1010 | 1010 | 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 | NNAPI | NNAPI |
| 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) | 387 | 387 | 100.0% |
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| samsung SM-F766N | |||
| Image Classification (HP) | 380 | 380 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Classification (Q) | 924 | 924 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (SP) | 481 | 481 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (HP) | 484 | 484 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (Q) | 955 | 955 | 100.0% |
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| samsung SM-F766N | |||
| Pose Estimation (SP) | 592 | 592 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Pose Estimation (HP) | 584 | 584 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Pose Estimation (Q) | 2050 | 2050 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (SP) | 297 | 297 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (HP) | 295 | 295 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (Q) | 739 | 739 | 100.0% |
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| samsung SM-F766N | |||
| Face Detection (SP) | 744 | 744 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Face Detection (HP) | 743 | 743 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Face Detection (Q) | 1642 | 1642 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (SP) | 583 | 583 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (HP) | 551 | 551 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (Q) | 1068 | 1068 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (SP) | 836 | 836 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (HP) | 851 | 851 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (Q) | 2045 | 2045 | 100.0% |
| samsung SM-F766N | |||
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| Image Super-Resolution (SP) | 335 | 335 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Super-Resolution (HP) | 299 | 299 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Super-Resolution (Q) | 1095 | 1095 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (SP) | 381 | 381 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (HP) | 403 | 403 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (Q) | 541 | 541 | 100.0% |
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| Machine Translation (SP) | 675 | 675 | 100.0% |
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| Machine Translation (HP) | 650 | 650 | 100.0% |
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| samsung SM-F766N | |||
| Machine Translation (Q) | 389 | 389 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
