samsung SM-A075F vs samsung SM-A075F
| samsung SM-A075F | samsung SM-A075F | Difference | |
|---|---|---|---|
| Single Precision | 518 | 518 | 100.0% |
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| Half Precision | 517 | 517 | 100.0% |
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| Quantized | 954 | 954 | 100.0% |
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| 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 | 3.49 GB | 3.49 GB |
AI Performance
| samsung SM-A075F | samsung SM-A075F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 226 | 226 | 100.0% |
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| Image Classification (HP) | 226 | 226 | 100.0% |
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| Image Classification (Q) | 654 | 654 | 100.0% |
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| Image Segmentation (SP) | 286 | 286 | 100.0% |
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| Image Segmentation (HP) | 285 | 285 | 100.0% |
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| Image Segmentation (Q) | 723 | 723 | 100.0% |
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| Pose Estimation (SP) | 1122 | 1122 | 100.0% |
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| Pose Estimation (HP) | 1116 | 1116 | 100.0% |
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| Pose Estimation (Q) | 1618 | 1618 | 100.0% |
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| Object Detection (SP) | 230 | 230 | 100.0% |
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| Object Detection (HP) | 230 | 230 | 100.0% |
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| Object Detection (Q) | 645 | 645 | 100.0% |
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| Face Detection (SP) | 743 | 743 | 100.0% |
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| Face Detection (HP) | 749 | 749 | 100.0% |
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| Face Detection (Q) | 1483 | 1483 | 100.0% |
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| Depth Estimation (SP) | 877 | 877 | 100.0% |
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| Depth Estimation (HP) | 893 | 893 | 100.0% |
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| Depth Estimation (Q) | 1489 | 1489 | 100.0% |
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| Style Transfer (SP) | 1861 | 1861 | 100.0% |
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| Style Transfer (HP) | 1855 | 1855 | 100.0% |
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| Style Transfer (Q) | 3719 | 3719 | 100.0% |
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| Image Super-Resolution (SP) | 503 | 503 | 100.0% |
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| Image Super-Resolution (HP) | 498 | 498 | 100.0% |
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| Image Super-Resolution (Q) | 895 | 895 | 100.0% |
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| Text Classification (SP) | 281 | 281 | 100.0% |
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| Text Classification (HP) | 279 | 279 | 100.0% |
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| Text Classification (Q) | 489 | 489 | 100.0% |
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| Machine Translation (SP) | 488 | 488 | 100.0% |
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| Machine Translation (HP) | 481 | 481 | 100.0% |
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| Machine Translation (Q) | 353 | 353 | 100.0% |
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