samsung SM-F966U1 vs samsung SM-F966U1
| samsung SM-F966U1 | samsung SM-F966U1 | Difference | |
|---|---|---|---|
| Single Precision | 402 | 402 | 100.0% |
| samsung SM-F966U1 | |||
| samsung SM-F966U1 | |||
| Half Precision | 389 | 389 | 100.0% |
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| Quantized | 807 | 807 | 100.0% |
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| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| samsung SM-F966U1 | samsung SM-F966U1 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 16 | Android 16 |
| Model | samsung SM-F966U1 | samsung SM-F966U1 |
| 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 | 10.85 GB | 10.85 GB |
AI Performance
| samsung SM-F966U1 | samsung SM-F966U1 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 417 | 417 | 100.0% |
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| Image Classification (HP) | 381 | 381 | 100.0% |
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| Image Classification (Q) | 641 | 641 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Segmentation (SP) | 266 | 266 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Segmentation (HP) | 241 | 241 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Segmentation (Q) | 459 | 459 | 100.0% |
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| Pose Estimation (SP) | 344 | 344 | 100.0% |
| samsung SM-F966U1 | |||
| samsung SM-F966U1 | |||
| Pose Estimation (HP) | 355 | 355 | 100.0% |
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| samsung SM-F966U1 | |||
| Pose Estimation (Q) | 1413 | 1413 | 100.0% |
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| Object Detection (SP) | 237 | 237 | 100.0% |
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| Object Detection (HP) | 211 | 211 | 100.0% |
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| samsung SM-F966U1 | |||
| Object Detection (Q) | 553 | 553 | 100.0% |
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| Face Detection (SP) | 573 | 573 | 100.0% |
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| Face Detection (HP) | 512 | 512 | 100.0% |
| samsung SM-F966U1 | |||
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| Face Detection (Q) | 1099 | 1099 | 100.0% |
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| Depth Estimation (SP) | 457 | 457 | 100.0% |
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| Depth Estimation (HP) | 468 | 468 | 100.0% |
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| Depth Estimation (Q) | 1002 | 1002 | 100.0% |
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| Style Transfer (SP) | 805 | 805 | 100.0% |
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| Style Transfer (HP) | 833 | 833 | 100.0% |
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| Style Transfer (Q) | 2309 | 2309 | 100.0% |
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| Image Super-Resolution (SP) | 247 | 247 | 100.0% |
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| Image Super-Resolution (HP) | 289 | 289 | 100.0% |
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| Image Super-Resolution (Q) | 1005 | 1005 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (SP) | 368 | 368 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (HP) | 368 | 368 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (Q) | 567 | 567 | 100.0% |
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| Machine Translation (SP) | 648 | 648 | 100.0% |
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| Machine Translation (HP) | 554 | 554 | 100.0% |
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| samsung SM-F966U1 | |||
| Machine Translation (Q) | 352 | 352 | 100.0% |
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| samsung SM-F966U1 | |||
