samsung SM-X216B vs samsung SM-X216B
| samsung SM-X216B | samsung SM-X216B | Difference | |
|---|---|---|---|
| Single Precision | 514 | 514 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Half Precision | 510 | 510 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Quantized | 1019 | 1019 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| samsung SM-X216B | samsung SM-X216B | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| 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) | 240 | 240 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (HP) | 235 | 235 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Classification (Q) | 728 | 728 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (SP) | 304 | 304 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (HP) | 311 | 311 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Segmentation (Q) | 830 | 830 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (SP) | 1079 | 1079 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (HP) | 1022 | 1022 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Pose Estimation (Q) | 1564 | 1564 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (SP) | 212 | 212 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (HP) | 214 | 214 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Object Detection (Q) | 720 | 720 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (SP) | 718 | 718 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (HP) | 730 | 730 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Face Detection (Q) | 1609 | 1609 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (SP) | 931 | 931 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (HP) | 910 | 910 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Depth Estimation (Q) | 1482 | 1482 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (SP) | 1799 | 1799 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (HP) | 1806 | 1806 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Style Transfer (Q) | 3617 | 3617 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (SP) | 508 | 508 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (HP) | 506 | 506 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Image Super-Resolution (Q) | 990 | 990 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (SP) | 276 | 276 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (HP) | 271 | 271 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Text Classification (Q) | 591 | 591 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (SP) | 466 | 466 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (HP) | 460 | 460 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
| Machine Translation (Q) | 353 | 353 | 100.0% |
| samsung SM-X216B | |||
| samsung SM-X216B | |||
