samsung SM-F766U1 vs samsung SM-F766U1
| samsung SM-F766U1 | samsung SM-F766U1 | Difference | |
|---|---|---|---|
| Single Precision | 590 | 590 | 100.0% |
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| Half Precision | 575 | 575 | 100.0% |
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| Quantized | 1204 | 1204 | 100.0% |
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| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| samsung SM-F766U1 | samsung SM-F766U1 | |
|---|---|---|
| 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-F766U1 | samsung SM-F766U1 |
| 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-F766U1 | samsung SM-F766U1 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 387 | 387 | 100.0% |
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| Image Classification (HP) | 379 | 379 | 100.0% |
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| Image Classification (Q) | 915 | 915 | 100.0% |
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| Image Segmentation (SP) | 474 | 474 | 100.0% |
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| Image Segmentation (HP) | 483 | 483 | 100.0% |
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| Image Segmentation (Q) | 954 | 954 | 100.0% |
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| Pose Estimation (SP) | 585 | 585 | 100.0% |
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| samsung SM-F766U1 | |||
| Pose Estimation (HP) | 557 | 557 | 100.0% |
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| samsung SM-F766U1 | |||
| Pose Estimation (Q) | 2479 | 2479 | 100.0% |
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| Object Detection (SP) | 348 | 348 | 100.0% |
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| Object Detection (HP) | 348 | 348 | 100.0% |
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| Object Detection (Q) | 788 | 788 | 100.0% |
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| Face Detection (SP) | 886 | 886 | 100.0% |
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| Face Detection (HP) | 893 | 893 | 100.0% |
| samsung SM-F766U1 | |||
| samsung SM-F766U1 | |||
| Face Detection (Q) | 1789 | 1789 | 100.0% |
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| Depth Estimation (SP) | 739 | 739 | 100.0% |
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| Depth Estimation (HP) | 650 | 650 | 100.0% |
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| Depth Estimation (Q) | 1588 | 1588 | 100.0% |
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| Style Transfer (SP) | 1125 | 1125 | 100.0% |
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| Style Transfer (HP) | 1043 | 1043 | 100.0% |
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| Style Transfer (Q) | 2839 | 2839 | 100.0% |
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| Image Super-Resolution (SP) | 419 | 419 | 100.0% |
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| Image Super-Resolution (HP) | 413 | 413 | 100.0% |
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| Image Super-Resolution (Q) | 1367 | 1367 | 100.0% |
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| Text Classification (SP) | 506 | 506 | 100.0% |
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| Text Classification (HP) | 506 | 506 | 100.0% |
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| Text Classification (Q) | 675 | 675 | 100.0% |
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| Machine Translation (SP) | 881 | 881 | 100.0% |
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| Machine Translation (HP) | 890 | 890 | 100.0% |
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| Machine Translation (Q) | 505 | 505 | 100.0% |
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