samsung SM-A125N vs samsung SM-A125N
| samsung SM-A125N | samsung SM-A125N | Difference | |
|---|---|---|---|
| Single Precision | 143 | 143 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Half Precision | 140 | 140 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Quantized | 151 | 151 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-A125N | samsung SM-A125N | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM MT6765V/CB | ARM MT6765V/CB |
| Operating System | Android 12 | Android 12 |
| Model | samsung SM-A125N | samsung SM-A125N |
| Processor |
ARM MT6765V/CB @ 2.30 GHz
1 Processor, 8 Cores |
ARM MT6765V/CB @ 2.30 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Motherboard | a12 | a12 |
| Memory | 2.68 GB | 2.68 GB |
AI Performance
| samsung SM-A125N | samsung SM-A125N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 60 | 60 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Image Classification (HP) | 55 | 55 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Image Classification (Q) | 82 | 82 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Image Segmentation (SP) | 88 | 88 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Image Segmentation (HP) | 90 | 90 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Image Segmentation (Q) | 157 | 157 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Pose Estimation (SP) | 445 | 445 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Pose Estimation (HP) | 426 | 426 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Pose Estimation (Q) | 345 | 345 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Object Detection (SP) | 82 | 82 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Object Detection (HP) | 83 | 83 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Object Detection (Q) | 91 | 91 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Face Detection (SP) | 215 | 215 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Face Detection (HP) | 197 | 197 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Face Detection (Q) | 292 | 292 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Depth Estimation (SP) | 274 | 274 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Depth Estimation (HP) | 256 | 256 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Depth Estimation (Q) | 248 | 248 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Style Transfer (SP) | 861 | 861 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Style Transfer (HP) | 836 | 836 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Style Transfer (Q) | 843 | 843 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Image Super-Resolution (SP) | 127 | 127 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Image Super-Resolution (HP) | 128 | 128 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Image Super-Resolution (Q) | 135 | 135 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Text Classification (SP) | 37 | 37 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Text Classification (HP) | 38 | 38 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Text Classification (Q) | 50 | 50 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Machine Translation (SP) | 83 | 83 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Machine Translation (HP) | 86 | 86 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
| Machine Translation (Q) | 39 | 39 | 100.0% |
| samsung SM-A125N | |||
| samsung SM-A125N | |||
