samsung SM-F766B vs samsung SM-F766B
| samsung SM-F766B | samsung SM-F766B | Difference | |
|---|---|---|---|
| Single Precision | 382 | 382 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Half Precision | 356 | 356 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Quantized | 727 | 727 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
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) | 365 | 365 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Image Classification (HP) | 367 | 367 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Image Classification (Q) | 712 | 712 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Image Segmentation (SP) | 394 | 394 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Image Segmentation (HP) | 347 | 347 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Image Segmentation (Q) | 585 | 585 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Pose Estimation (SP) | 381 | 381 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Pose Estimation (HP) | 327 | 327 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Pose Estimation (Q) | 1394 | 1394 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Object Detection (SP) | 200 | 200 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Object Detection (HP) | 205 | 205 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Object Detection (Q) | 505 | 505 | 100.0% |
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| samsung SM-F766B | |||
| Face Detection (SP) | 545 | 545 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Face Detection (HP) | 524 | 524 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Face Detection (Q) | 1097 | 1097 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Depth Estimation (SP) | 458 | 458 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Depth Estimation (HP) | 437 | 437 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Depth Estimation (Q) | 1009 | 1009 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Style Transfer (SP) | 655 | 655 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Style Transfer (HP) | 603 | 603 | 100.0% |
| samsung SM-F766B | |||
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| Style Transfer (Q) | 1450 | 1450 | 100.0% |
| samsung SM-F766B | |||
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| Image Super-Resolution (SP) | 235 | 235 | 100.0% |
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| samsung SM-F766B | |||
| Image Super-Resolution (HP) | 222 | 222 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Image Super-Resolution (Q) | 754 | 754 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Text Classification (SP) | 298 | 298 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Text Classification (HP) | 280 | 280 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
| Text Classification (Q) | 460 | 460 | 100.0% |
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| Machine Translation (SP) | 535 | 535 | 100.0% |
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| Machine Translation (HP) | 447 | 447 | 100.0% |
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| samsung SM-F766B | |||
| Machine Translation (Q) | 253 | 253 | 100.0% |
| samsung SM-F766B | |||
| samsung SM-F766B | |||
