samsung SM-S156V vs samsung SM-S156V
| samsung SM-S156V | samsung SM-S156V | Difference | |
|---|---|---|---|
| Single Precision | 317 | 317 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Half Precision | 529 | 529 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Quantized | 449 | 449 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-S156V | samsung SM-S156V | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| 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) | 167 | 167 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Classification (HP) | 328 | 328 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Classification (Q) | 367 | 367 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Segmentation (SP) | 269 | 269 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Segmentation (HP) | 567 | 567 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Segmentation (Q) | 529 | 529 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Pose Estimation (SP) | 1144 | 1144 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Pose Estimation (HP) | 2100 | 2100 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Pose Estimation (Q) | 1839 | 1839 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Object Detection (SP) | 168 | 168 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Object Detection (HP) | 333 | 333 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Object Detection (Q) | 327 | 327 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Face Detection (SP) | 612 | 612 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Face Detection (HP) | 1295 | 1295 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Face Detection (Q) | 1201 | 1201 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Depth Estimation (SP) | 793 | 793 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Depth Estimation (HP) | 1492 | 1492 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Depth Estimation (Q) | 1189 | 1189 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Style Transfer (SP) | 1854 | 1854 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Style Transfer (HP) | 4035 | 4035 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Style Transfer (Q) | 3933 | 3933 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Super-Resolution (SP) | 487 | 487 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Super-Resolution (HP) | 812 | 812 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Image Super-Resolution (Q) | 772 | 772 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Text Classification (SP) | 11 | 11 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Text Classification (HP) | 7 | 7 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Text Classification (Q) | 9 | 9 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Machine Translation (SP) | 253 | 253 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Machine Translation (HP) | 301 | 301 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
| Machine Translation (Q) | 74 | 74 | 100.0% |
| samsung SM-S156V | |||
| samsung SM-S156V | |||
