| samsung SM-F966B | samsung SM-F966B | Difference | |
|---|---|---|---|
| Single Precision | 2590 | 2590 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Half Precision | 2528 | 2528 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Quantized | 4063 | 4063 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
| samsung SM-F966B | samsung SM-F966B | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| 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 |
| samsung SM-F966B | samsung SM-F966B | Difference | |
|---|---|---|---|
| Image Classification (SP) | 2176 | 2176 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (HP) | 2048 | 2048 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (Q) | 4245 | 4245 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (SP) | 2514 | 2514 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (HP) | 2467 | 2467 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (Q) | 4970 | 4970 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (SP) | 5277 | 5277 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (HP) | 4327 | 4327 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (Q) | 9828 | 9828 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (SP) | 1362 | 1362 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (HP) | 1625 | 1625 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (Q) | 3760 | 3760 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (SP) | 4060 | 4060 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (HP) | 4084 | 4084 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (Q) | 7873 | 7873 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (SP) | 4128 | 4128 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (HP) | 4104 | 4104 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (Q) | 7068 | 7068 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (SP) | 10469 | 10469 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (HP) | 9338 | 9338 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (Q) | 18010 | 18010 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (SP) | 1773 | 1773 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (HP) | 2029 | 2029 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (Q) | 4784 | 4784 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (SP) | 844 | 844 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (HP) | 844 | 844 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (Q) | 700 | 700 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (SP) | 1319 | 1319 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (HP) | 1120 | 1120 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (Q) | 469 | 469 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||