samsung SM-F966N vs samsung SM-F966N
| samsung SM-F966N | samsung SM-F966N | Difference | |
|---|---|---|---|
| Single Precision | 2682 | 2682 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Half Precision | 4185 | 4185 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Quantized | 3476 | 3476 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-F966N | samsung SM-F966N | |
|---|---|---|
| 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-F966N | samsung SM-F966N |
| 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 | 10.75 GB | 10.75 GB |
AI Performance
| samsung SM-F966N | samsung SM-F966N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1596 | 1596 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Classification (HP) | 2289 | 2289 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Classification (Q) | 2080 | 2080 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Segmentation (SP) | 3183 | 3183 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Segmentation (HP) | 5983 | 5983 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Segmentation (Q) | 5083 | 5083 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Pose Estimation (SP) | 13836 | 13836 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Pose Estimation (HP) | 24631 | 24631 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Pose Estimation (Q) | 22676 | 22676 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Object Detection (SP) | 1474 | 1474 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Object Detection (HP) | 2018 | 2018 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Object Detection (Q) | 1821 | 1821 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Face Detection (SP) | 5457 | 5457 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Face Detection (HP) | 8824 | 8824 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Face Detection (Q) | 9263 | 9263 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Depth Estimation (SP) | 7027 | 7027 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Depth Estimation (HP) | 9689 | 9689 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Depth Estimation (Q) | 7449 | 7449 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Style Transfer (SP) | 17296 | 17296 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Style Transfer (HP) | 37806 | 37806 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Style Transfer (Q) | 34015 | 34015 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Super-Resolution (SP) | 3406 | 3406 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Super-Resolution (HP) | 5704 | 5704 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Image Super-Resolution (Q) | 5668 | 5668 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Text Classification (SP) | 75 | 75 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Text Classification (HP) | 78 | 78 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Text Classification (Q) | 66 | 66 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Machine Translation (SP) | 1101 | 1101 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Machine Translation (HP) | 1685 | 1685 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
| Machine Translation (Q) | 672 | 672 | 100.0% |
| samsung SM-F966N | |||
| samsung SM-F966N | |||
