samsung SM-A042F vs samsung SM-A042F
| samsung SM-A042F | samsung SM-A042F | Difference | |
|---|---|---|---|
| Single Precision | 143 | 143 | 100.0% |
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| Half Precision | 162 | 162 | 100.0% |
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| Quantized | 168 | 168 | 100.0% |
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| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| samsung SM-A042F | samsung SM-A042F | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM MT6765V/CB | ARM MT6765V/CB |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-A042F | samsung SM-A042F |
| 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 | a04e | a04e |
| Memory | 2.71 GB | 2.71 GB |
AI Performance
| samsung SM-A042F | samsung SM-A042F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 19 | 19 | 100.0% |
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| Image Classification (HP) | 70 | 70 | 100.0% |
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| Image Classification (Q) | 96 | 96 | 100.0% |
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| Image Segmentation (SP) | 94 | 94 | 100.0% |
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| Image Segmentation (HP) | 101 | 101 | 100.0% |
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| Image Segmentation (Q) | 168 | 168 | 100.0% |
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| Pose Estimation (SP) | 406 | 406 | 100.0% |
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| Pose Estimation (HP) | 397 | 397 | 100.0% |
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| Pose Estimation (Q) | 281 | 281 | 100.0% |
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| Object Detection (SP) | 83 | 83 | 100.0% |
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| Object Detection (HP) | 86 | 86 | 100.0% |
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| Object Detection (Q) | 111 | 111 | 100.0% |
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| Face Detection (SP) | 217 | 217 | 100.0% |
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| Face Detection (HP) | 216 | 216 | 100.0% |
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| Face Detection (Q) | 302 | 302 | 100.0% |
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| Depth Estimation (SP) | 284 | 284 | 100.0% |
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| Depth Estimation (HP) | 246 | 246 | 100.0% |
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| Depth Estimation (Q) | 258 | 258 | 100.0% |
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| Style Transfer (SP) | 724 | 724 | 100.0% |
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| Style Transfer (HP) | 751 | 751 | 100.0% |
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| Style Transfer (Q) | 705 | 705 | 100.0% |
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| Image Super-Resolution (SP) | 134 | 134 | 100.0% |
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| Image Super-Resolution (HP) | 133 | 133 | 100.0% |
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| Image Super-Resolution (Q) | 155 | 155 | 100.0% |
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| Text Classification (SP) | 83 | 83 | 100.0% |
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| Text Classification (HP) | 83 | 83 | 100.0% |
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| Text Classification (Q) | 83 | 83 | 100.0% |
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| Machine Translation (SP) | 123 | 123 | 100.0% |
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| Machine Translation (HP) | 121 | 121 | 100.0% |
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| Machine Translation (Q) | 53 | 53 | 100.0% |
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