samsung SM-F966B vs samsung SM-F966B
| samsung SM-F966B | samsung SM-F966B | Difference | |
|---|---|---|---|
| Single Precision | 489 | 489 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Half Precision | 479 | 479 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Quantized | 985 | 985 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-F966B | samsung SM-F966B | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 16 | Android 16 |
| Model | samsung SM-F966B | samsung SM-F966B |
| Processor |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Motherboard | sun | sun |
| Memory | 10.85 GB | 10.85 GB |
AI Performance
| samsung SM-F966B | samsung SM-F966B | Difference | |
|---|---|---|---|
| Image Classification (SP) | 431 | 431 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (HP) | 428 | 428 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (Q) | 1083 | 1083 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (SP) | 551 | 551 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (HP) | 535 | 535 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (Q) | 878 | 878 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (SP) | 550 | 550 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (HP) | 510 | 510 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (Q) | 1925 | 1925 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (SP) | 281 | 281 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (HP) | 275 | 275 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (Q) | 679 | 679 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (SP) | 695 | 695 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (HP) | 696 | 696 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (Q) | 1425 | 1425 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (SP) | 559 | 559 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (HP) | 548 | 548 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (Q) | 1227 | 1227 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (SP) | 978 | 978 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (HP) | 901 | 901 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (Q) | 2324 | 2324 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (SP) | 289 | 289 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (HP) | 289 | 289 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (Q) | 885 | 885 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (SP) | 319 | 319 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (HP) | 368 | 368 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (Q) | 566 | 566 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (SP) | 618 | 618 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (HP) | 548 | 548 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (Q) | 343 | 343 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
