samsung SM-F766B vs samsung SM-F766B
| samsung SM-F766B | samsung SM-F766B | Difference | |
|---|---|---|---|
| Single Precision | 498 | 498 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Half Precision | 484 | 484 | 100.0% |
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| Quantized | 1022 | 1022 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-F766B | samsung SM-F766B | |
|---|---|---|
| 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-F766B | samsung SM-F766B |
| 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-F766B | samsung SM-F766B | Difference | |
|---|---|---|---|
| Image Classification (SP) | 369 | 369 | 100.0% |
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| Image Classification (HP) | 364 | 364 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Image Classification (Q) | 883 | 883 | 100.0% |
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| Image Segmentation (SP) | 450 | 450 | 100.0% |
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| Image Segmentation (HP) | 457 | 457 | 100.0% |
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| Image Segmentation (Q) | 858 | 858 | 100.0% |
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| Pose Estimation (SP) | 504 | 504 | 100.0% |
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| samsung SM-F766B | |||
| Pose Estimation (HP) | 402 | 402 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Pose Estimation (Q) | 1771 | 1771 | 100.0% |
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| Object Detection (SP) | 268 | 268 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Object Detection (HP) | 296 | 296 | 100.0% |
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| Object Detection (Q) | 714 | 714 | 100.0% |
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| Face Detection (SP) | 723 | 723 | 100.0% |
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| samsung SM-F766B | |||
| Face Detection (HP) | 787 | 787 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Face Detection (Q) | 1669 | 1669 | 100.0% |
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| samsung SM-F766B | |||
| Depth Estimation (SP) | 634 | 634 | 100.0% |
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| samsung SM-F766B | |||
| Depth Estimation (HP) | 580 | 580 | 100.0% |
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| Depth Estimation (Q) | 1399 | 1399 | 100.0% |
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| Style Transfer (SP) | 890 | 890 | 100.0% |
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| Style Transfer (HP) | 817 | 817 | 100.0% |
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| Style Transfer (Q) | 2293 | 2293 | 100.0% |
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| Image Super-Resolution (SP) | 352 | 352 | 100.0% |
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| Image Super-Resolution (HP) | 324 | 324 | 100.0% |
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| Image Super-Resolution (Q) | 1089 | 1089 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Text Classification (SP) | 401 | 401 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Text Classification (HP) | 425 | 425 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Text Classification (Q) | 566 | 566 | 100.0% |
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| Machine Translation (SP) | 735 | 735 | 100.0% |
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| Machine Translation (HP) | 698 | 698 | 100.0% |
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| samsung SM-F766B | |||
| Machine Translation (Q) | 396 | 396 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
