samsung SM-F966B vs samsung SM-F966B
| samsung SM-F966B | samsung SM-F966B | Difference | |
|---|---|---|---|
| Single Precision | 464 | 464 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Half Precision | 443 | 443 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Quantized | 944 | 944 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
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) | 436 | 436 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (HP) | 432 | 432 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (Q) | 676 | 676 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (SP) | 389 | 389 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (HP) | 397 | 397 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (Q) | 724 | 724 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (SP) | 476 | 476 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (HP) | 382 | 382 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (Q) | 1707 | 1707 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (SP) | 243 | 243 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (HP) | 245 | 245 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (Q) | 626 | 626 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (SP) | 649 | 649 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (HP) | 632 | 632 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (Q) | 1247 | 1247 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (SP) | 566 | 566 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (HP) | 494 | 494 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (Q) | 1240 | 1240 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (SP) | 930 | 930 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (HP) | 899 | 899 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (Q) | 2692 | 2692 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (SP) | 283 | 283 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (HP) | 283 | 283 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (Q) | 1006 | 1006 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (SP) | 368 | 368 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (HP) | 369 | 369 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (Q) | 617 | 617 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (SP) | 672 | 672 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (HP) | 623 | 623 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (Q) | 419 | 419 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
