samsung SM-A042F vs samsung SM-A042F
| samsung SM-A042F | samsung SM-A042F | Difference | |
|---|---|---|---|
| Single Precision | 151 | 151 | 100.0% |
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| Half Precision | 141 | 141 | 100.0% |
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| Quantized | 170 | 170 | 100.0% |
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| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
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) | 106 | 106 | 100.0% |
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| Image Classification (HP) | 65 | 65 | 100.0% |
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| Image Classification (Q) | 110 | 110 | 100.0% |
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| Image Segmentation (SP) | 98 | 98 | 100.0% |
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| Image Segmentation (HP) | 99 | 99 | 100.0% |
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| Image Segmentation (Q) | 210 | 210 | 100.0% |
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| Pose Estimation (SP) | 393 | 393 | 100.0% |
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| Pose Estimation (HP) | 372 | 372 | 100.0% |
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| Pose Estimation (Q) | 292 | 292 | 100.0% |
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| Object Detection (SP) | 77 | 77 | 100.0% |
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| Object Detection (HP) | 72 | 72 | 100.0% |
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| Object Detection (Q) | 113 | 113 | 100.0% |
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| Face Detection (SP) | 213 | 213 | 100.0% |
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| Face Detection (HP) | 186 | 186 | 100.0% |
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| Face Detection (Q) | 358 | 358 | 100.0% |
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| Depth Estimation (SP) | 220 | 220 | 100.0% |
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| Depth Estimation (HP) | 241 | 241 | 100.0% |
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| Depth Estimation (Q) | 245 | 245 | 100.0% |
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| Style Transfer (SP) | 687 | 687 | 100.0% |
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| Style Transfer (HP) | 601 | 601 | 100.0% |
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| Style Transfer (Q) | 663 | 663 | 100.0% |
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| Image Super-Resolution (SP) | 98 | 98 | 100.0% |
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| Image Super-Resolution (HP) | 131 | 131 | 100.0% |
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| Image Super-Resolution (Q) | 130 | 130 | 100.0% |
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| Text Classification (SP) | 67 | 67 | 100.0% |
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| Text Classification (HP) | 60 | 60 | 100.0% |
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| Text Classification (Q) | 91 | 91 | 100.0% |
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| Machine Translation (SP) | 96 | 96 | 100.0% |
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| Machine Translation (HP) | 88 | 88 | 100.0% |
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| Machine Translation (Q) | 39 | 39 | 100.0% |
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