samsung SM-A047F vs samsung SM-A047F
| samsung SM-A047F | samsung SM-A047F | Difference | |
|---|---|---|---|
| Single Precision | 55 | 55 | 100.0% |
| samsung SM-A047F | |||
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| Half Precision | 71 | 71 | 100.0% |
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| Quantized | 65 | 65 | 100.0% |
| samsung SM-A047F | |||
| samsung SM-A047F | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| samsung SM-A047F | samsung SM-A047F | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM Samsung | ARM Samsung |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-A047F | samsung SM-A047F |
| Processor |
ARM Samsung @ 2.00 GHz
1 Processor, 8 Cores |
ARM Samsung @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 |
| Motherboard | exynos850 | exynos850 |
| Memory | 2.64 GB | 2.64 GB |
AI Performance
| samsung SM-A047F | samsung SM-A047F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 30 | 30 | 100.0% |
| samsung SM-A047F | |||
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| Image Classification (HP) | 40 | 40 | 100.0% |
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| Image Classification (Q) | 39 | 39 | 100.0% |
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| Image Segmentation (SP) | 41 | 41 | 100.0% |
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| Image Segmentation (HP) | 53 | 53 | 100.0% |
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| Image Segmentation (Q) | 53 | 53 | 100.0% |
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| Pose Estimation (SP) | 31 | 31 | 100.0% |
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| Pose Estimation (HP) | 42 | 42 | 100.0% |
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| Pose Estimation (Q) | 42 | 42 | 100.0% |
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| Object Detection (SP) | 37 | 37 | 100.0% |
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| Object Detection (HP) | 54 | 54 | 100.0% |
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| Object Detection (Q) | 52 | 52 | 100.0% |
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| Face Detection (SP) | 148 | 148 | 100.0% |
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| Face Detection (HP) | 205 | 205 | 100.0% |
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| Face Detection (Q) | 195 | 195 | 100.0% |
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| Depth Estimation (SP) | 70 | 70 | 100.0% |
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| Depth Estimation (HP) | 91 | 91 | 100.0% |
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| Depth Estimation (Q) | 73 | 73 | 100.0% |
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| Style Transfer (SP) | 147 | 147 | 100.0% |
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| Style Transfer (HP) | 193 | 193 | 100.0% |
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| Style Transfer (Q) | 192 | 192 | 100.0% |
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| Image Super-Resolution (SP) | 37 | 37 | 100.0% |
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| Image Super-Resolution (HP) | 53 | 53 | 100.0% |
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| Image Super-Resolution (Q) | 53 | 53 | 100.0% |
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| Text Classification (SP) | 45 | 45 | 100.0% |
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| Text Classification (HP) | 45 | 45 | 100.0% |
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| Text Classification (Q) | 46 | 46 | 100.0% |
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| Machine Translation (SP) | 80 | 80 | 100.0% |
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| Machine Translation (HP) | 81 | 81 | 100.0% |
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| Machine Translation (Q) | 49 | 49 | 100.0% |
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