samsung SM-F966U1 vs samsung SM-F966U1
| samsung SM-F966U1 | samsung SM-F966U1 | Difference | |
|---|---|---|---|
| Single Precision | 518 | 518 | 100.0% |
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| samsung SM-F966U1 | |||
| Half Precision | 493 | 493 | 100.0% |
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| Quantized | 1074 | 1074 | 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) | 443 | 443 | 100.0% |
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| Image Classification (HP) | 439 | 439 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Classification (Q) | 1109 | 1109 | 100.0% |
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| Image Segmentation (SP) | 563 | 563 | 100.0% |
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| Image Segmentation (HP) | 566 | 566 | 100.0% |
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| Image Segmentation (Q) | 1139 | 1139 | 100.0% |
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| Pose Estimation (SP) | 734 | 734 | 100.0% |
| samsung SM-F966U1 | |||
| samsung SM-F966U1 | |||
| Pose Estimation (HP) | 538 | 538 | 100.0% |
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| samsung SM-F966U1 | |||
| Pose Estimation (Q) | 1894 | 1894 | 100.0% |
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| Object Detection (SP) | 263 | 263 | 100.0% |
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| Object Detection (HP) | 286 | 286 | 100.0% |
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| Object Detection (Q) | 683 | 683 | 100.0% |
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| Face Detection (SP) | 754 | 754 | 100.0% |
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| samsung SM-F966U1 | |||
| Face Detection (HP) | 689 | 689 | 100.0% |
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| samsung SM-F966U1 | |||
| Face Detection (Q) | 1419 | 1419 | 100.0% |
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| Depth Estimation (SP) | 574 | 574 | 100.0% |
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| Depth Estimation (HP) | 544 | 544 | 100.0% |
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| Depth Estimation (Q) | 1221 | 1221 | 100.0% |
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| Style Transfer (SP) | 925 | 925 | 100.0% |
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| Style Transfer (HP) | 900 | 900 | 100.0% |
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| Style Transfer (Q) | 2659 | 2659 | 100.0% |
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| Image Super-Resolution (SP) | 289 | 289 | 100.0% |
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| Image Super-Resolution (HP) | 290 | 290 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Super-Resolution (Q) | 1006 | 1006 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (SP) | 369 | 369 | 100.0% |
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| Text Classification (HP) | 370 | 370 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (Q) | 617 | 617 | 100.0% |
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| Machine Translation (SP) | 678 | 678 | 100.0% |
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| Machine Translation (HP) | 620 | 620 | 100.0% |
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| Machine Translation (Q) | 440 | 440 | 100.0% |
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