| samsung SM-F966B | samsung SM-F966B | Difference | |
|---|---|---|---|
| Single Precision | 2083 | 2083 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Half Precision | 2069 | 2069 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Quantized | 3333 | 3333 | 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) | 1500 | 1500 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (HP) | 1707 | 1707 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Classification (Q) | 3872 | 3872 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (SP) | 2151 | 2151 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (HP) | 2148 | 2148 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Segmentation (Q) | 4717 | 4717 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (SP) | 4317 | 4317 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (HP) | 3869 | 3869 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Pose Estimation (Q) | 9054 | 9054 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (SP) | 1034 | 1034 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (HP) | 1220 | 1220 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Object Detection (Q) | 2909 | 2909 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (SP) | 3735 | 3735 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (HP) | 3709 | 3709 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Face Detection (Q) | 6966 | 6966 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (SP) | 3873 | 3873 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (HP) | 3000 | 3000 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Depth Estimation (Q) | 5787 | 5787 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (SP) | 8651 | 8651 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (HP) | 8056 | 8056 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Style Transfer (Q) | 13198 | 13198 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (SP) | 1451 | 1451 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (HP) | 1712 | 1712 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Image Super-Resolution (Q) | 3515 | 3515 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (SP) | 502 | 502 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (HP) | 597 | 597 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Text Classification (Q) | 500 | 500 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (SP) | 1174 | 1174 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (HP) | 909 | 909 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||
| Machine Translation (Q) | 377 | 377 | 100.0% |
| samsung SM-F966B | |||
| samsung SM-F966B | |||