samsung SM-F766N vs samsung SM-F766N
| samsung SM-F766N | samsung SM-F766N | Difference | |
|---|---|---|---|
| Single Precision | 274 | 274 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Half Precision | 272 | 272 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Quantized | 587 | 587 | 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) | 167 | 167 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Classification (HP) | 167 | 167 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Classification (Q) | 394 | 394 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (SP) | 223 | 223 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (HP) | 225 | 225 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Segmentation (Q) | 444 | 444 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Pose Estimation (SP) | 290 | 290 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Pose Estimation (HP) | 285 | 285 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Pose Estimation (Q) | 1078 | 1078 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (SP) | 165 | 165 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (HP) | 165 | 165 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Object Detection (Q) | 408 | 408 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Face Detection (SP) | 472 | 472 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Face Detection (HP) | 479 | 479 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Face Detection (Q) | 931 | 931 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (SP) | 381 | 381 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (HP) | 362 | 362 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Depth Estimation (Q) | 768 | 768 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (SP) | 620 | 620 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (HP) | 575 | 575 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Style Transfer (Q) | 1717 | 1717 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Super-Resolution (SP) | 166 | 166 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Super-Resolution (HP) | 168 | 168 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Image Super-Resolution (Q) | 593 | 593 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (SP) | 192 | 192 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (HP) | 193 | 193 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Text Classification (Q) | 316 | 316 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Machine Translation (SP) | 386 | 386 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Machine Translation (HP) | 392 | 392 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
| Machine Translation (Q) | 278 | 278 | 100.0% |
| samsung SM-F766N | |||
| samsung SM-F766N | |||
