samsung SM-A042M vs samsung SM-A042M
| samsung SM-A042M | samsung SM-A042M | Difference | |
|---|---|---|---|
| Single Precision | 224 | 224 | 100.0% |
| samsung SM-A042M | |||
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| Half Precision | 228 | 228 | 100.0% |
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| Quantized | 253 | 253 | 100.0% |
| samsung SM-A042M | |||
| samsung SM-A042M | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-A042M | samsung SM-A042M | |
|---|---|---|
| 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-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) | 146 | 146 | 100.0% |
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| Image Classification (HP) | 140 | 140 | 100.0% |
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| Image Classification (Q) | 210 | 210 | 100.0% |
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| Image Segmentation (SP) | 173 | 173 | 100.0% |
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| Image Segmentation (HP) | 177 | 177 | 100.0% |
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| Image Segmentation (Q) | 329 | 329 | 100.0% |
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| Pose Estimation (SP) | 603 | 603 | 100.0% |
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| Pose Estimation (HP) | 562 | 562 | 100.0% |
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| Pose Estimation (Q) | 401 | 401 | 100.0% |
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| Object Detection (SP) | 118 | 118 | 100.0% |
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| Object Detection (HP) | 114 | 114 | 100.0% |
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| Object Detection (Q) | 171 | 171 | 100.0% |
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| Face Detection (SP) | 296 | 296 | 100.0% |
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| Face Detection (HP) | 289 | 289 | 100.0% |
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| Face Detection (Q) | 456 | 456 | 100.0% |
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| Depth Estimation (SP) | 385 | 385 | 100.0% |
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| Depth Estimation (HP) | 382 | 382 | 100.0% |
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| Depth Estimation (Q) | 340 | 340 | 100.0% |
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| Style Transfer (SP) | 864 | 864 | 100.0% |
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| Style Transfer (HP) | 861 | 861 | 100.0% |
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| Style Transfer (Q) | 871 | 871 | 100.0% |
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| Image Super-Resolution (SP) | 161 | 161 | 100.0% |
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| Image Super-Resolution (HP) | 157 | 157 | 100.0% |
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| Image Super-Resolution (Q) | 194 | 194 | 100.0% |
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| Text Classification (SP) | 82 | 82 | 100.0% |
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| Text Classification (HP) | 115 | 115 | 100.0% |
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| Text Classification (Q) | 134 | 134 | 100.0% |
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| Machine Translation (SP) | 139 | 139 | 100.0% |
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| Machine Translation (HP) | 141 | 141 | 100.0% |
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| Machine Translation (Q) | 65 | 65 | 100.0% |
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