samsung SM-F966W vs samsung SM-F966W
| samsung SM-F966W | samsung SM-F966W | Difference | |
|---|---|---|---|
| Single Precision | 2829 | 2829 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Half Precision | 4397 | 4397 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Quantized | 3722 | 3722 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| samsung SM-F966W | samsung SM-F966W | |
|---|---|---|
| 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-F966W | samsung SM-F966W |
| 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 | 14.75 GB | 14.75 GB |
AI Performance
| samsung SM-F966W | samsung SM-F966W | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1682 | 1682 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Image Classification (HP) | 2853 | 2853 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Image Classification (Q) | 2918 | 2918 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Image Segmentation (SP) | 3916 | 3916 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Image Segmentation (HP) | 5377 | 5377 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Image Segmentation (Q) | 5783 | 5783 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Pose Estimation (SP) | 13805 | 13805 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Pose Estimation (HP) | 24869 | 24869 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Pose Estimation (Q) | 24432 | 24432 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Object Detection (SP) | 1545 | 1545 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Object Detection (HP) | 2045 | 2045 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Object Detection (Q) | 1884 | 1884 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Face Detection (SP) | 5329 | 5329 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Face Detection (HP) | 9521 | 9521 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Face Detection (Q) | 8370 | 8370 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Depth Estimation (SP) | 7131 | 7131 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Depth Estimation (HP) | 9554 | 9554 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Depth Estimation (Q) | 7421 | 7421 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Style Transfer (SP) | 17206 | 17206 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Style Transfer (HP) | 38656 | 38656 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Style Transfer (Q) | 37015 | 37015 | 100.0% |
| samsung SM-F966W | |||
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| Image Super-Resolution (SP) | 3670 | 3670 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Image Super-Resolution (HP) | 5592 | 5592 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Image Super-Resolution (Q) | 5648 | 5648 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Text Classification (SP) | 89 | 89 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Text Classification (HP) | 90 | 90 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Text Classification (Q) | 68 | 68 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Machine Translation (SP) | 1096 | 1096 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Machine Translation (HP) | 1957 | 1957 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
| Machine Translation (Q) | 745 | 745 | 100.0% |
| samsung SM-F966W | |||
| samsung SM-F966W | |||
