samsung SM-F966U1 vs samsung SM-F966U1
| samsung SM-F966U1 | samsung SM-F966U1 | Difference | |
|---|---|---|---|
| Single Precision | 433 | 433 | 100.0% |
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| Half Precision | 423 | 423 | 100.0% |
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| Quantized | 885 | 885 | 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 | 14.75 GB | 14.75 GB |
AI Performance
| samsung SM-F966U1 | samsung SM-F966U1 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 431 | 431 | 100.0% |
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| Image Classification (HP) | 430 | 430 | 100.0% |
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| Image Classification (Q) | 796 | 796 | 100.0% |
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| Image Segmentation (SP) | 349 | 349 | 100.0% |
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| Image Segmentation (HP) | 277 | 277 | 100.0% |
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| Image Segmentation (Q) | 527 | 527 | 100.0% |
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| Pose Estimation (SP) | 408 | 408 | 100.0% |
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| samsung SM-F966U1 | |||
| Pose Estimation (HP) | 390 | 390 | 100.0% |
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| Pose Estimation (Q) | 1587 | 1587 | 100.0% |
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| Object Detection (SP) | 242 | 242 | 100.0% |
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| Object Detection (HP) | 239 | 239 | 100.0% |
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| Object Detection (Q) | 621 | 621 | 100.0% |
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| Face Detection (SP) | 574 | 574 | 100.0% |
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| Face Detection (HP) | 630 | 630 | 100.0% |
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| samsung SM-F966U1 | |||
| Face Detection (Q) | 1256 | 1256 | 100.0% |
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| Depth Estimation (SP) | 494 | 494 | 100.0% |
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| Depth Estimation (HP) | 494 | 494 | 100.0% |
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| Depth Estimation (Q) | 1148 | 1148 | 100.0% |
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| Style Transfer (SP) | 892 | 892 | 100.0% |
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| Style Transfer (HP) | 893 | 893 | 100.0% |
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| Style Transfer (Q) | 2300 | 2300 | 100.0% |
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| Image Super-Resolution (SP) | 281 | 281 | 100.0% |
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| Image Super-Resolution (HP) | 282 | 282 | 100.0% |
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| Image Super-Resolution (Q) | 1002 | 1002 | 100.0% |
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| Text Classification (SP) | 336 | 336 | 100.0% |
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| Text Classification (HP) | 368 | 368 | 100.0% |
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| Text Classification (Q) | 567 | 567 | 100.0% |
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| Machine Translation (SP) | 662 | 662 | 100.0% |
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| Machine Translation (HP) | 582 | 582 | 100.0% |
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| Machine Translation (Q) | 381 | 381 | 100.0% |
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