samsung SM-A075F vs samsung SM-A075F
| samsung SM-A075F | samsung SM-A075F | Difference | |
|---|---|---|---|
| Single Precision | 461 | 461 | 100.0% |
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| Half Precision | 467 | 467 | 100.0% |
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| Quantized | 875 | 875 | 100.0% |
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| samsung SM-A075F | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| samsung SM-A075F | samsung SM-A075F | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | samsung SM-A075F | samsung SM-A075F |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | a07 | a07 |
| Memory | 5.45 GB | 5.45 GB |
AI Performance
| samsung SM-A075F | samsung SM-A075F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 221 | 221 | 100.0% |
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| Image Classification (HP) | 210 | 210 | 100.0% |
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| Image Classification (Q) | 644 | 644 | 100.0% |
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| Image Segmentation (SP) | 262 | 262 | 100.0% |
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| Image Segmentation (HP) | 278 | 278 | 100.0% |
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| Image Segmentation (Q) | 703 | 703 | 100.0% |
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| Pose Estimation (SP) | 991 | 991 | 100.0% |
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| Pose Estimation (HP) | 979 | 979 | 100.0% |
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| Pose Estimation (Q) | 1498 | 1498 | 100.0% |
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| Object Detection (SP) | 187 | 187 | 100.0% |
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| Object Detection (HP) | 195 | 195 | 100.0% |
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| Object Detection (Q) | 624 | 624 | 100.0% |
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| Face Detection (SP) | 713 | 713 | 100.0% |
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| Face Detection (HP) | 587 | 587 | 100.0% |
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| Face Detection (Q) | 1339 | 1339 | 100.0% |
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| Depth Estimation (SP) | 735 | 735 | 100.0% |
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| Depth Estimation (HP) | 874 | 874 | 100.0% |
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| Depth Estimation (Q) | 1467 | 1467 | 100.0% |
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| Style Transfer (SP) | 1787 | 1787 | 100.0% |
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| Style Transfer (HP) | 1691 | 1691 | 100.0% |
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| Style Transfer (Q) | 3461 | 3461 | 100.0% |
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| Image Super-Resolution (SP) | 458 | 458 | 100.0% |
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| Image Super-Resolution (HP) | 456 | 456 | 100.0% |
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| Image Super-Resolution (Q) | 868 | 868 | 100.0% |
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| Text Classification (SP) | 262 | 262 | 100.0% |
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| Text Classification (HP) | 264 | 264 | 100.0% |
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| Text Classification (Q) | 472 | 472 | 100.0% |
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| Machine Translation (SP) | 362 | 362 | 100.0% |
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| Machine Translation (HP) | 432 | 432 | 100.0% |
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| Machine Translation (Q) | 225 | 225 | 100.0% |
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