samsung SM-S156V vs samsung SM-S156V
| samsung SM-S156V | samsung SM-S156V | Difference | |
|---|---|---|---|
| Single Precision | 487 | 487 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Half Precision | 486 | 486 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Quantized | 907 | 907 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-S156V | samsung SM-S156V | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 16 | Android 16 |
| Model | samsung SM-S156V | samsung SM-S156V |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | a15x | a15x |
| Memory | 3.48 GB | 3.48 GB |
AI Performance
| samsung SM-S156V | samsung SM-S156V | Difference | |
|---|---|---|---|
| Image Classification (SP) | 217 | 217 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Classification (HP) | 209 | 209 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Classification (Q) | 615 | 615 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Segmentation (SP) | 264 | 264 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Segmentation (HP) | 265 | 265 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Segmentation (Q) | 683 | 683 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Pose Estimation (SP) | 1031 | 1031 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Pose Estimation (HP) | 1033 | 1033 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Pose Estimation (Q) | 1573 | 1573 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Object Detection (SP) | 214 | 214 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Object Detection (HP) | 214 | 214 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Object Detection (Q) | 604 | 604 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Face Detection (SP) | 712 | 712 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Face Detection (HP) | 712 | 712 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Face Detection (Q) | 1418 | 1418 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Depth Estimation (SP) | 885 | 885 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Depth Estimation (HP) | 892 | 892 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Depth Estimation (Q) | 1445 | 1445 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Style Transfer (SP) | 1762 | 1762 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Style Transfer (HP) | 1768 | 1768 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Style Transfer (Q) | 3583 | 3583 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Super-Resolution (SP) | 466 | 466 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Super-Resolution (HP) | 466 | 466 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Super-Resolution (Q) | 862 | 862 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Text Classification (SP) | 254 | 254 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Text Classification (HP) | 254 | 254 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Text Classification (Q) | 467 | 467 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Machine Translation (SP) | 455 | 455 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Machine Translation (HP) | 452 | 452 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Machine Translation (Q) | 320 | 320 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
