samsung SM-S938B vs samsung SM-S938B
| samsung SM-S938B | samsung SM-S938B | Difference | |
|---|---|---|---|
| Single Precision | 590 | 590 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Half Precision | 26970 | 26970 | 100.0% |
| samsung SM-S938B | |||
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| Quantized | 60655 | 60655 | 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) | 439 | 439 | 100.0% |
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| Image Classification (HP) | 21457 | 21457 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Image Classification (Q) | 49045 | 49045 | 100.0% |
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| samsung SM-S938B | |||
| Image Segmentation (SP) | 557 | 557 | 100.0% |
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| samsung SM-S938B | |||
| Image Segmentation (HP) | 13543 | 13543 | 100.0% |
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| Image Segmentation (Q) | 42188 | 42188 | 100.0% |
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| Pose Estimation (SP) | 713 | 713 | 100.0% |
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| Pose Estimation (HP) | 119014 | 119014 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Pose Estimation (Q) | 476998 | 476998 | 100.0% |
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| Object Detection (SP) | 303 | 303 | 100.0% |
| samsung SM-S938B | |||
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| Object Detection (HP) | 18606 | 18606 | 100.0% |
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| samsung SM-S938B | |||
| Object Detection (Q) | 20653 | 20653 | 100.0% |
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| Face Detection (SP) | 739 | 739 | 100.0% |
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| Face Detection (HP) | 41118 | 41118 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Face Detection (Q) | 141143 | 141143 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Depth Estimation (SP) | 922 | 922 | 100.0% |
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| Depth Estimation (HP) | 84617 | 84617 | 100.0% |
| samsung SM-S938B | |||
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| Depth Estimation (Q) | 145838 | 145838 | 100.0% |
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| Style Transfer (SP) | 1532 | 1532 | 100.0% |
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| Style Transfer (HP) | 98441 | 98441 | 100.0% |
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| Style Transfer (Q) | 490578 | 490578 | 100.0% |
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| Image Super-Resolution (SP) | 289 | 289 | 100.0% |
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| Image Super-Resolution (HP) | 52016 | 52016 | 100.0% |
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| Image Super-Resolution (Q) | 129242 | 129242 | 100.0% |
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| samsung SM-S938B | |||
| Text Classification (SP) | 417 | 417 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
| Text Classification (HP) | 3891 | 3891 | 100.0% |
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| samsung SM-S938B | |||
| Text Classification (Q) | 7955 | 7955 | 100.0% |
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| Machine Translation (SP) | 780 | 780 | 100.0% |
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| Machine Translation (HP) | 4565 | 4565 | 100.0% |
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| Machine Translation (Q) | 3185 | 3185 | 100.0% |
| samsung SM-S938B | |||
| samsung SM-S938B | |||
