samsung SM-A042M vs samsung SM-A042M
| samsung SM-A042M | samsung SM-A042M | Difference | |
|---|---|---|---|
| Single Precision | 118 | 118 | 100.0% |
| samsung SM-A042M | |||
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| Half Precision | 116 | 116 | 100.0% |
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| Quantized | 83 | 83 | 100.0% |
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| samsung SM-A042M | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-A042M | samsung SM-A042M | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM MT6765V/CB | ARM MT6765V/CB |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-A042M | samsung SM-A042M |
| 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-A042M | samsung SM-A042M | Difference | |
|---|---|---|---|
| Image Classification (SP) | 74 | 74 | 100.0% |
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| Image Classification (HP) | 75 | 75 | 100.0% |
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| Image Classification (Q) | 66 | 66 | 100.0% |
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| Image Segmentation (SP) | 101 | 101 | 100.0% |
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| Image Segmentation (HP) | 101 | 101 | 100.0% |
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| Image Segmentation (Q) | 88 | 88 | 100.0% |
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| Pose Estimation (SP) | 417 | 417 | 100.0% |
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| Pose Estimation (HP) | 412 | 412 | 100.0% |
| samsung SM-A042M | |||
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| Pose Estimation (Q) | 401 | 401 | 100.0% |
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| Object Detection (SP) | 76 | 76 | 100.0% |
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| Object Detection (HP) | 73 | 73 | 100.0% |
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| Object Detection (Q) | 63 | 63 | 100.0% |
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| Face Detection (SP) | 223 | 223 | 100.0% |
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| Face Detection (HP) | 205 | 205 | 100.0% |
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| Face Detection (Q) | 166 | 166 | 100.0% |
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| Depth Estimation (SP) | 260 | 260 | 100.0% |
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| Depth Estimation (HP) | 244 | 244 | 100.0% |
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| Depth Estimation (Q) | 194 | 194 | 100.0% |
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| Style Transfer (SP) | 759 | 759 | 100.0% |
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| Style Transfer (HP) | 751 | 751 | 100.0% |
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| Style Transfer (Q) | 710 | 710 | 100.0% |
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| Image Super-Resolution (SP) | 153 | 153 | 100.0% |
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| Image Super-Resolution (HP) | 150 | 150 | 100.0% |
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| Image Super-Resolution (Q) | 132 | 132 | 100.0% |
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| Text Classification (SP) | 5 | 5 | 100.0% |
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| Text Classification (HP) | 6 | 6 | 100.0% |
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| Text Classification (Q) | 4 | 4 | 100.0% |
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| Machine Translation (SP) | 68 | 68 | 100.0% |
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| Machine Translation (HP) | 58 | 58 | 100.0% |
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| Machine Translation (Q) | 9 | 9 | 100.0% |
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