samsung SM-A235N vs samsung SM-A235N
| samsung SM-A235N | samsung SM-A235N | Difference | |
|---|---|---|---|
| Single Precision | 264 | 264 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Half Precision | 262 | 262 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Quantized | 280 | 280 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-A235N | samsung SM-A235N | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM Qualcomm | ARM Qualcomm |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-A235N | samsung SM-A235N |
| Processor |
ARM Qualcomm @ 1.90 GHz
1 Processor, 8 Cores |
ARM Qualcomm @ 1.90 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Motherboard | bengal | bengal |
| Memory | 3.50 GB | 3.50 GB |
AI Performance
| samsung SM-A235N | samsung SM-A235N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 131 | 131 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Image Classification (HP) | 132 | 132 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Image Classification (Q) | 231 | 231 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Image Segmentation (SP) | 168 | 168 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Image Segmentation (HP) | 168 | 168 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Image Segmentation (Q) | 297 | 297 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Pose Estimation (SP) | 655 | 655 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Pose Estimation (HP) | 655 | 655 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Pose Estimation (Q) | 507 | 507 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Object Detection (SP) | 129 | 129 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Object Detection (HP) | 123 | 123 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Object Detection (Q) | 231 | 231 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Face Detection (SP) | 400 | 400 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Face Detection (HP) | 397 | 397 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Face Detection (Q) | 557 | 557 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Depth Estimation (SP) | 562 | 562 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Depth Estimation (HP) | 559 | 559 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Depth Estimation (Q) | 336 | 336 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Style Transfer (SP) | 852 | 852 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Style Transfer (HP) | 853 | 853 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Style Transfer (Q) | 847 | 847 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Image Super-Resolution (SP) | 198 | 198 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Image Super-Resolution (HP) | 196 | 196 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Image Super-Resolution (Q) | 197 | 197 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Text Classification (SP) | 121 | 121 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Text Classification (HP) | 119 | 119 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Text Classification (Q) | 132 | 132 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Machine Translation (SP) | 198 | 198 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Machine Translation (HP) | 198 | 198 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
| Machine Translation (Q) | 92 | 92 | 100.0% |
| samsung SM-A235N | |||
| samsung SM-A235N | |||
