samsung SM-X216B vs samsung SM-X216B
| samsung SM-X216B | samsung SM-X216B | Difference | |
|---|---|---|---|
| Single Precision | 190 | 190 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Half Precision | 290 | 290 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Quantized | 303 | 303 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| samsung SM-X216B | samsung SM-X216B | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-X216B | samsung SM-X216B |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Motherboard | holi | holi |
| Memory | 7.21 GB | 7.21 GB |
AI Performance
| samsung SM-X216B | samsung SM-X216B | Difference | |
|---|---|---|---|
| Image Classification (SP) | 108 | 108 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (HP) | 177 | 177 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (Q) | 191 | 191 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (SP) | 155 | 155 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (HP) | 284 | 284 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (Q) | 276 | 276 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (SP) | 215 | 215 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (HP) | 266 | 266 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (Q) | 263 | 263 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (SP) | 96 | 96 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (HP) | 147 | 147 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (Q) | 163 | 163 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (SP) | 264 | 264 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (HP) | 491 | 491 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (Q) | 504 | 504 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (SP) | 247 | 247 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (HP) | 420 | 420 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (Q) | 347 | 347 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (SP) | 490 | 490 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (HP) | 1049 | 1049 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (Q) | 1044 | 1044 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (SP) | 128 | 128 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (HP) | 219 | 219 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (Q) | 217 | 217 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (SP) | 163 | 163 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (HP) | 162 | 162 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (Q) | 311 | 311 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (SP) | 279 | 279 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (HP) | 280 | 280 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (Q) | 242 | 242 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
