samsung SM-A042F vs samsung SM-A042F
| samsung SM-A042F | samsung SM-A042F | Difference | |
|---|---|---|---|
| Single Precision | 148 | 148 | 100.0% |
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| Half Precision | 150 | 150 | 100.0% |
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| Quantized | 162 | 162 | 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) | 52 | 52 | 100.0% |
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| Image Classification (HP) | 57 | 57 | 100.0% |
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| Image Classification (Q) | 77 | 77 | 100.0% |
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| Image Segmentation (SP) | 83 | 83 | 100.0% |
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| Image Segmentation (HP) | 72 | 72 | 100.0% |
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| Image Segmentation (Q) | 160 | 160 | 100.0% |
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| Pose Estimation (SP) | 347 | 347 | 100.0% |
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| Pose Estimation (HP) | 397 | 397 | 100.0% |
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| Pose Estimation (Q) | 276 | 276 | 100.0% |
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| Object Detection (SP) | 78 | 78 | 100.0% |
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| Object Detection (HP) | 83 | 83 | 100.0% |
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| Object Detection (Q) | 112 | 112 | 100.0% |
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| Face Detection (SP) | 209 | 209 | 100.0% |
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| Face Detection (HP) | 200 | 200 | 100.0% |
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| Face Detection (Q) | 298 | 298 | 100.0% |
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| Depth Estimation (SP) | 278 | 278 | 100.0% |
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| Depth Estimation (HP) | 263 | 263 | 100.0% |
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| Depth Estimation (Q) | 255 | 255 | 100.0% |
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| Style Transfer (SP) | 711 | 711 | 100.0% |
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| Style Transfer (HP) | 726 | 726 | 100.0% |
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| Style Transfer (Q) | 686 | 686 | 100.0% |
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| Image Super-Resolution (SP) | 122 | 122 | 100.0% |
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| Image Super-Resolution (HP) | 132 | 132 | 100.0% |
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| Image Super-Resolution (Q) | 151 | 151 | 100.0% |
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| Text Classification (SP) | 73 | 73 | 100.0% |
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| Text Classification (HP) | 75 | 75 | 100.0% |
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| Text Classification (Q) | 90 | 90 | 100.0% |
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| Machine Translation (SP) | 118 | 118 | 100.0% |
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| Machine Translation (HP) | 115 | 115 | 100.0% |
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| Machine Translation (Q) | 49 | 49 | 100.0% |
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