samsung SM-S938B vs samsung SM-S938B
| samsung SM-S938B | samsung SM-S938B | Difference | |
|---|---|---|---|
| Single Precision | 595 | 595 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Half Precision | 27279 | 27279 | 100.0% |
| samsung SM-S938B | |||
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| Quantized | 61414 | 61414 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-S938B | samsung SM-S938B | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | QNN | QNN |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | samsung SM-S938B | samsung SM-S938B |
| Processor |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Motherboard | sun | sun |
| Memory | 10.86 GB | 10.86 GB |
AI Performance
| samsung SM-S938B | samsung SM-S938B | Difference | |
|---|---|---|---|
| Image Classification (SP) | 387 | 387 | 100.0% |
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| Image Classification (HP) | 21033 | 21033 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Image Classification (Q) | 49515 | 49515 | 100.0% |
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| samsung SM-S938B | |||
| Image Segmentation (SP) | 560 | 560 | 100.0% |
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| samsung SM-S938B | |||
| Image Segmentation (HP) | 13720 | 13720 | 100.0% |
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| Image Segmentation (Q) | 42419 | 42419 | 100.0% |
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| Pose Estimation (SP) | 705 | 705 | 100.0% |
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| Pose Estimation (HP) | 122399 | 122399 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Pose Estimation (Q) | 477695 | 477695 | 100.0% |
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| Object Detection (SP) | 365 | 365 | 100.0% |
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| samsung SM-S938B | |||
| Object Detection (HP) | 19290 | 19290 | 100.0% |
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| samsung SM-S938B | |||
| Object Detection (Q) | 22146 | 22146 | 100.0% |
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| Face Detection (SP) | 883 | 883 | 100.0% |
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| samsung SM-S938B | |||
| Face Detection (HP) | 42813 | 42813 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Face Detection (Q) | 147940 | 147940 | 100.0% |
| samsung SM-S938B | |||
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| Depth Estimation (SP) | 776 | 776 | 100.0% |
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| Depth Estimation (HP) | 83868 | 83868 | 100.0% |
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| Depth Estimation (Q) | 143798 | 143798 | 100.0% |
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| Style Transfer (SP) | 1200 | 1200 | 100.0% |
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| Style Transfer (HP) | 98818 | 98818 | 100.0% |
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| Style Transfer (Q) | 490477 | 490477 | 100.0% |
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| Image Super-Resolution (SP) | 365 | 365 | 100.0% |
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| Image Super-Resolution (HP) | 53055 | 53055 | 100.0% |
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| samsung SM-S938B | |||
| Image Super-Resolution (Q) | 134175 | 134175 | 100.0% |
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| samsung SM-S938B | |||
| Text Classification (SP) | 428 | 428 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Text Classification (HP) | 3901 | 3901 | 100.0% |
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| samsung SM-S938B | |||
| Text Classification (Q) | 7985 | 7985 | 100.0% |
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| Machine Translation (SP) | 777 | 777 | 100.0% |
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| Machine Translation (HP) | 4561 | 4561 | 100.0% |
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| Machine Translation (Q) | 3073 | 3073 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
