samsung SM-A042F vs samsung SM-A042F
| samsung SM-A042F | samsung SM-A042F | Difference | |
|---|---|---|---|
| Single Precision | 159 | 159 | 100.0% |
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| Half Precision | 149 | 149 | 100.0% |
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| Quantized | 158 | 158 | 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) | 113 | 113 | 100.0% |
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| Image Classification (HP) | 74 | 74 | 100.0% |
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| Image Classification (Q) | 109 | 109 | 100.0% |
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| Image Segmentation (SP) | 99 | 99 | 100.0% |
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| Image Segmentation (HP) | 95 | 95 | 100.0% |
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| Image Segmentation (Q) | 148 | 148 | 100.0% |
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| Pose Estimation (SP) | 401 | 401 | 100.0% |
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| Pose Estimation (HP) | 416 | 416 | 100.0% |
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| Pose Estimation (Q) | 245 | 245 | 100.0% |
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| Object Detection (SP) | 78 | 78 | 100.0% |
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| Object Detection (HP) | 76 | 76 | 100.0% |
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| Object Detection (Q) | 104 | 104 | 100.0% |
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| Face Detection (SP) | 198 | 198 | 100.0% |
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| Face Detection (HP) | 194 | 194 | 100.0% |
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| Face Detection (Q) | 287 | 287 | 100.0% |
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| Depth Estimation (SP) | 256 | 256 | 100.0% |
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| Depth Estimation (HP) | 248 | 248 | 100.0% |
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| Depth Estimation (Q) | 246 | 246 | 100.0% |
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| Style Transfer (SP) | 686 | 686 | 100.0% |
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| Style Transfer (HP) | 676 | 676 | 100.0% |
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| Style Transfer (Q) | 625 | 625 | 100.0% |
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| Image Super-Resolution (SP) | 110 | 110 | 100.0% |
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| Image Super-Resolution (HP) | 110 | 110 | 100.0% |
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| Image Super-Resolution (Q) | 137 | 137 | 100.0% |
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| Text Classification (SP) | 73 | 73 | 100.0% |
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| Text Classification (HP) | 71 | 71 | 100.0% |
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| Text Classification (Q) | 79 | 79 | 100.0% |
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| Machine Translation (SP) | 112 | 112 | 100.0% |
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| Machine Translation (HP) | 101 | 101 | 100.0% |
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| Machine Translation (Q) | 50 | 50 | 100.0% |
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