samsung SM-F966U1 vs samsung SM-F966U1
| samsung SM-F966U1 | samsung SM-F966U1 | Difference | |
|---|---|---|---|
| Single Precision | 2651 | 2651 | 100.0% |
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| samsung SM-F966U1 | |||
| Half Precision | 2596 | 2596 | 100.0% |
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| Quantized | 4499 | 4499 | 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 | CPU | CPU |
| 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 | 14.75 GB | 14.75 GB |
AI Performance
| samsung SM-F966U1 | samsung SM-F966U1 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 2074 | 2074 | 100.0% |
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| Image Classification (HP) | 2137 | 2137 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Classification (Q) | 4522 | 4522 | 100.0% |
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| Image Segmentation (SP) | 2469 | 2469 | 100.0% |
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| Image Segmentation (HP) | 2524 | 2524 | 100.0% |
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| Image Segmentation (Q) | 5099 | 5099 | 100.0% |
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| Pose Estimation (SP) | 5294 | 5294 | 100.0% |
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| samsung SM-F966U1 | |||
| Pose Estimation (HP) | 4197 | 4197 | 100.0% |
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| samsung SM-F966U1 | |||
| Pose Estimation (Q) | 12012 | 12012 | 100.0% |
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| Object Detection (SP) | 1368 | 1368 | 100.0% |
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| Object Detection (HP) | 1623 | 1623 | 100.0% |
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| samsung SM-F966U1 | |||
| Object Detection (Q) | 3696 | 3696 | 100.0% |
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| Face Detection (SP) | 4312 | 4312 | 100.0% |
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| samsung SM-F966U1 | |||
| Face Detection (HP) | 4356 | 4356 | 100.0% |
| samsung SM-F966U1 | |||
| samsung SM-F966U1 | |||
| Face Detection (Q) | 8780 | 8780 | 100.0% |
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| samsung SM-F966U1 | |||
| Depth Estimation (SP) | 4537 | 4537 | 100.0% |
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| samsung SM-F966U1 | |||
| Depth Estimation (HP) | 4315 | 4315 | 100.0% |
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| samsung SM-F966U1 | |||
| Depth Estimation (Q) | 8129 | 8129 | 100.0% |
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| Style Transfer (SP) | 9983 | 9983 | 100.0% |
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| Style Transfer (HP) | 9266 | 9266 | 100.0% |
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| Style Transfer (Q) | 19565 | 19565 | 100.0% |
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| Image Super-Resolution (SP) | 1990 | 1990 | 100.0% |
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| Image Super-Resolution (HP) | 2088 | 2088 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Super-Resolution (Q) | 5207 | 5207 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (SP) | 899 | 899 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (HP) | 925 | 925 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (Q) | 965 | 965 | 100.0% |
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| Machine Translation (SP) | 1325 | 1325 | 100.0% |
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| Machine Translation (HP) | 1126 | 1126 | 100.0% |
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| Machine Translation (Q) | 474 | 474 | 100.0% |
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