samsung SM-A057F vs samsung SM-A057F
| samsung SM-A057F | samsung SM-A057F | Difference | |
|---|---|---|---|
| Single Precision | 139 | 139 | 100.0% |
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| Half Precision | 215 | 215 | 100.0% |
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| Quantized | 195 | 195 | 100.0% |
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| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-A057F | samsung SM-A057F | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | samsung SM-A057F | samsung SM-A057F |
| Processor |
ARM ARMv8 @ 1.90 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.90 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Motherboard | bengal | bengal |
| Memory | 3.52 GB | 3.52 GB |
AI Performance
| samsung SM-A057F | samsung SM-A057F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 99 | 99 | 100.0% |
| samsung SM-A057F | |||
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| Image Classification (HP) | 162 | 162 | 100.0% |
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| Image Classification (Q) | 151 | 151 | 100.0% |
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| Image Segmentation (SP) | 142 | 142 | 100.0% |
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| Image Segmentation (HP) | 226 | 226 | 100.0% |
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| Image Segmentation (Q) | 212 | 212 | 100.0% |
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| Pose Estimation (SP) | 488 | 488 | 100.0% |
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| Pose Estimation (HP) | 792 | 792 | 100.0% |
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| Pose Estimation (Q) | 790 | 790 | 100.0% |
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| Object Detection (SP) | 83 | 83 | 100.0% |
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| Object Detection (HP) | 132 | 132 | 100.0% |
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| Object Detection (Q) | 127 | 127 | 100.0% |
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| Face Detection (SP) | 306 | 306 | 100.0% |
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| Face Detection (HP) | 485 | 485 | 100.0% |
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| Face Detection (Q) | 441 | 441 | 100.0% |
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| Depth Estimation (SP) | 299 | 299 | 100.0% |
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| Depth Estimation (HP) | 462 | 462 | 100.0% |
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| Depth Estimation (Q) | 380 | 380 | 100.0% |
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| Style Transfer (SP) | 718 | 718 | 100.0% |
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| Style Transfer (HP) | 1091 | 1091 | 100.0% |
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| Style Transfer (Q) | 1083 | 1083 | 100.0% |
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| Image Super-Resolution (SP) | 125 | 125 | 100.0% |
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| Image Super-Resolution (HP) | 186 | 186 | 100.0% |
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| Image Super-Resolution (Q) | 168 | 168 | 100.0% |
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| Text Classification (SP) | 6 | 6 | 100.0% |
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| Text Classification (HP) | 9 | 9 | 100.0% |
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| Text Classification (Q) | 9 | 9 | 100.0% |
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| Machine Translation (SP) | 98 | 98 | 100.0% |
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| Machine Translation (HP) | 137 | 137 | 100.0% |
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| Machine Translation (Q) | 94 | 94 | 100.0% |
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