samsung SM-A055F vs samsung SM-A055F
| samsung SM-A055F | samsung SM-A055F | Difference | |
|---|---|---|---|
| Single Precision | 332 | 332 | 100.0% |
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| Half Precision | 332 | 332 | 100.0% |
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| Quantized | 577 | 577 | 100.0% |
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| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-A055F | samsung SM-A055F | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM MT6769V/CZ | ARM MT6769V/CZ |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-A055F | samsung SM-A055F |
| Processor |
ARM MT6769V/CZ @ 1.80 GHz
1 Processor, 8 Cores |
ARM MT6769V/CZ @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Motherboard | a05m | a05m |
| Memory | 3.59 GB | 3.59 GB |
AI Performance
| samsung SM-A055F | samsung SM-A055F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 208 | 208 | 100.0% |
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| Image Classification (HP) | 207 | 207 | 100.0% |
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| Image Classification (Q) | 513 | 513 | 100.0% |
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| Image Segmentation (SP) | 209 | 209 | 100.0% |
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| Image Segmentation (HP) | 200 | 200 | 100.0% |
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| Image Segmentation (Q) | 576 | 576 | 100.0% |
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| Pose Estimation (SP) | 758 | 758 | 100.0% |
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| Pose Estimation (HP) | 617 | 617 | 100.0% |
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| Pose Estimation (Q) | 674 | 674 | 100.0% |
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| Object Detection (SP) | 138 | 138 | 100.0% |
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| Object Detection (HP) | 128 | 128 | 100.0% |
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| Object Detection (Q) | 446 | 446 | 100.0% |
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| Face Detection (SP) | 375 | 375 | 100.0% |
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| Face Detection (HP) | 427 | 427 | 100.0% |
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| Face Detection (Q) | 1123 | 1123 | 100.0% |
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| Depth Estimation (SP) | 501 | 501 | 100.0% |
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| Depth Estimation (HP) | 472 | 472 | 100.0% |
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| Depth Estimation (Q) | 1022 | 1022 | 100.0% |
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| Style Transfer (SP) | 1172 | 1172 | 100.0% |
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| Style Transfer (HP) | 1443 | 1443 | 100.0% |
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| Style Transfer (Q) | 1659 | 1659 | 100.0% |
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| Image Super-Resolution (SP) | 282 | 282 | 100.0% |
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| Image Super-Resolution (HP) | 265 | 265 | 100.0% |
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| Image Super-Resolution (Q) | 617 | 617 | 100.0% |
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| Text Classification (SP) | 224 | 224 | 100.0% |
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| Text Classification (HP) | 217 | 217 | 100.0% |
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| Text Classification (Q) | 228 | 228 | 100.0% |
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| Machine Translation (SP) | 263 | 263 | 100.0% |
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| Machine Translation (HP) | 305 | 305 | 100.0% |
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| Machine Translation (Q) | 173 | 173 | 100.0% |
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