samsung SM-S938N vs samsung SM-S938N
| samsung SM-S938N | samsung SM-S938N | Difference | |
|---|---|---|---|
| Single Precision | 571 | 571 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Half Precision | 555 | 555 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Quantized | 1175 | 1175 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-S938N | samsung SM-S938N | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | samsung SM-S938N | samsung SM-S938N |
| 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-S938N | samsung SM-S938N | Difference | |
|---|---|---|---|
| Image Classification (SP) | 427 | 427 | 100.0% |
| samsung SM-S938N | |||
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| Image Classification (HP) | 421 | 421 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Image Classification (Q) | 1049 | 1049 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Image Segmentation (SP) | 540 | 540 | 100.0% |
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| samsung SM-S938N | |||
| Image Segmentation (HP) | 535 | 535 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Image Segmentation (Q) | 1049 | 1049 | 100.0% |
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| Pose Estimation (SP) | 651 | 651 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Pose Estimation (HP) | 523 | 523 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Pose Estimation (Q) | 1971 | 1971 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Object Detection (SP) | 302 | 302 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Object Detection (HP) | 304 | 304 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Object Detection (Q) | 806 | 806 | 100.0% |
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| samsung SM-S938N | |||
| Face Detection (SP) | 785 | 785 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Face Detection (HP) | 785 | 785 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Face Detection (Q) | 1804 | 1804 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Depth Estimation (SP) | 752 | 752 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Depth Estimation (HP) | 656 | 656 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Depth Estimation (Q) | 1318 | 1318 | 100.0% |
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| samsung SM-S938N | |||
| Style Transfer (SP) | 1166 | 1166 | 100.0% |
| samsung SM-S938N | |||
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| Style Transfer (HP) | 1078 | 1078 | 100.0% |
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| Style Transfer (Q) | 2459 | 2459 | 100.0% |
| samsung SM-S938N | |||
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| Image Super-Resolution (SP) | 340 | 340 | 100.0% |
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| samsung SM-S938N | |||
| Image Super-Resolution (HP) | 362 | 362 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Image Super-Resolution (Q) | 1286 | 1286 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Text Classification (SP) | 466 | 466 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Text Classification (HP) | 466 | 466 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Text Classification (Q) | 718 | 718 | 100.0% |
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| Machine Translation (SP) | 752 | 752 | 100.0% |
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| Machine Translation (HP) | 838 | 838 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
| Machine Translation (Q) | 536 | 536 | 100.0% |
| samsung SM-S938N | |||
| samsung SM-S938N | |||
