| samsung SM-F966B | samsung SM-F966B | Difference | |
|---|---|---|---|
| Single Precision | 2216 | 2216 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Half Precision | 3429 | 3429 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Quantized | 2952 | 2952 | 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 | GPU | GPU |
| 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) | 1701 | 1701 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (HP) | 3052 | 3052 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (Q) | 2627 | 2627 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (SP) | 3142 | 3142 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (HP) | 5604 | 5604 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (Q) | 5711 | 5711 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (SP) | 13832 | 13832 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (HP) | 24646 | 24646 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (Q) | 24481 | 24481 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (SP) | 1115 | 1115 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (HP) | 1411 | 1411 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (Q) | 1193 | 1193 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (SP) | 3827 | 3827 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (HP) | 6724 | 6724 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (Q) | 6270 | 6270 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (SP) | 4667 | 4667 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (HP) | 6720 | 6720 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (Q) | 5289 | 5289 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (SP) | 12646 | 12646 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (HP) | 26634 | 26634 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (Q) | 25191 | 25191 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (SP) | 2589 | 2589 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (HP) | 4142 | 4142 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (Q) | 4022 | 4022 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (SP) | 56 | 56 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (HP) | 63 | 63 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (Q) | 73 | 73 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (SP) | 1061 | 1061 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (HP) | 1205 | 1205 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (Q) | 468 | 468 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||