samsung SM-A235F vs samsung SM-A235F
| samsung SM-A235F | samsung SM-A235F | Difference | |
|---|---|---|---|
| Single Precision | 36 | 36 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Half Precision | 66 | 66 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Quantized | 109 | 109 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-A235F | samsung SM-A235F | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM Qualcomm | ARM Qualcomm |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-A235F | samsung SM-A235F |
| 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 | 5.45 GB | 5.45 GB |
AI Performance
| samsung SM-A235F | samsung SM-A235F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 31 | 31 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Classification (HP) | 60 | 60 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Classification (Q) | 61 | 61 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Segmentation (SP) | 31 | 31 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Segmentation (HP) | 102 | 102 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Segmentation (Q) | 102 | 102 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Pose Estimation (SP) | 54 | 54 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Pose Estimation (HP) | 105 | 105 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Pose Estimation (Q) | 105 | 105 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Object Detection (SP) | 30 | 30 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Object Detection (HP) | 50 | 50 | 100.0% |
| samsung SM-A235F | |||
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| Object Detection (Q) | 50 | 50 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Face Detection (SP) | 78 | 78 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Face Detection (HP) | 190 | 190 | 100.0% |
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| Face Detection (Q) | 195 | 195 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Depth Estimation (SP) | 73 | 73 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Depth Estimation (HP) | 148 | 148 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Depth Estimation (Q) | 120 | 120 | 100.0% |
| samsung SM-A235F | |||
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| Style Transfer (SP) | 0 | 0 | |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Style Transfer (HP) | 207 | 207 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Style Transfer (Q) | 394 | 394 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Super-Resolution (SP) | 55 | 55 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Super-Resolution (HP) | 0 | 0 | |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Image Super-Resolution (Q) | 103 | 103 | 100.0% |
| samsung SM-A235F | |||
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| Text Classification (SP) | 70 | 70 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Text Classification (HP) | 70 | 70 | 100.0% |
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| samsung SM-A235F | |||
| Text Classification (Q) | 91 | 91 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Machine Translation (SP) | 122 | 122 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
| Machine Translation (HP) | 122 | 122 | 100.0% |
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| samsung SM-A235F | |||
| Machine Translation (Q) | 91 | 91 | 100.0% |
| samsung SM-A235F | |||
| samsung SM-A235F | |||
