samsung SM-A055F vs samsung SM-A055F
| samsung SM-A055F | samsung SM-A055F | Difference | |
|---|---|---|---|
| Single Precision | 99 | 99 | 100.0% |
| samsung SM-A055F | |||
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| Half Precision | 116 | 116 | 100.0% |
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| Quantized | 68 | 68 | 100.0% |
| samsung SM-A055F | |||
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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 | NNAPI | NNAPI |
| 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 | 5.55 GB | 5.55 GB |
AI Performance
| samsung SM-A055F | samsung SM-A055F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 96 | 96 | 100.0% |
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| Image Classification (HP) | 121 | 121 | 100.0% |
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| Image Classification (Q) | 23 | 23 | 100.0% |
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| Image Segmentation (SP) | 91 | 91 | 100.0% |
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| Image Segmentation (HP) | 49 | 49 | 100.0% |
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| Image Segmentation (Q) | 39 | 39 | 100.0% |
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| Pose Estimation (SP) | 408 | 408 | 100.0% |
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| Pose Estimation (HP) | 860 | 860 | 100.0% |
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| Pose Estimation (Q) | 354 | 354 | 100.0% |
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| Object Detection (SP) | 69 | 69 | 100.0% |
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| Object Detection (HP) | 36 | 36 | 100.0% |
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| Object Detection (Q) | 29 | 29 | 100.0% |
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| Face Detection (SP) | 16 | 16 | 100.0% |
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| Face Detection (HP) | 99 | 99 | 100.0% |
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| Face Detection (Q) | 61 | 61 | 100.0% |
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| Depth Estimation (SP) | 137 | 137 | 100.0% |
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| Depth Estimation (HP) | 80 | 80 | 100.0% |
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| Depth Estimation (Q) | 77 | 77 | 100.0% |
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| Style Transfer (SP) | 349 | 349 | 100.0% |
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| Style Transfer (HP) | 150 | 150 | 100.0% |
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| Style Transfer (Q) | 600 | 600 | 100.0% |
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| Image Super-Resolution (SP) | 206 | 206 | 100.0% |
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| Image Super-Resolution (HP) | 435 | 435 | 100.0% |
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| Image Super-Resolution (Q) | 129 | 129 | 100.0% |
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| Text Classification (SP) | 26 | 26 | 100.0% |
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| Text Classification (HP) | 53 | 53 | 100.0% |
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| Text Classification (Q) | 9 | 9 | 100.0% |
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| Machine Translation (SP) | 91 | 91 | 100.0% |
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| Machine Translation (HP) | 91 | 91 | 100.0% |
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| Machine Translation (Q) | 80 | 80 | 100.0% |
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