samsung SM-N975F vs samsung SM-N975F
| samsung SM-N975F | samsung SM-N975F | Difference | |
|---|---|---|---|
| Single Precision | 372 | 372 | 100.0% |
| samsung SM-N975F | |||
| samsung SM-N975F | |||
| Half Precision | 480 | 480 | 100.0% |
| samsung SM-N975F | |||
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| Quantized | 463 | 463 | 100.0% |
| samsung SM-N975F | |||
| samsung SM-N975F | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-N975F | samsung SM-N975F | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARMv8 | ARMv8 |
| Operating System | Android 12 | Android 12 |
| Model | samsung SM-N975F | samsung SM-N975F |
| Processor |
ARMv8 @ 1.95 GHz
1 Processor, 8 Cores |
ARMv8 @ 1.95 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Motherboard | exynos9825 | exynos9825 |
| Memory | 11.15 GB | 11.15 GB |
AI Performance
| samsung SM-N975F | samsung SM-N975F | Difference | |
|---|---|---|---|
| Image Classification (SP) | 270 | 270 | 100.0% |
| samsung SM-N975F | |||
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| Image Classification (HP) | 361 | 361 | 100.0% |
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| Image Classification (Q) | 343 | 343 | 100.0% |
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| samsung SM-N975F | |||
| Image Segmentation (SP) | 341 | 341 | 100.0% |
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| samsung SM-N975F | |||
| Image Segmentation (HP) | 457 | 457 | 100.0% |
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| Image Segmentation (Q) | 415 | 415 | 100.0% |
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| Pose Estimation (SP) | 201 | 201 | 100.0% |
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| Pose Estimation (HP) | 282 | 282 | 100.0% |
| samsung SM-N975F | |||
| samsung SM-N975F | |||
| Pose Estimation (Q) | 280 | 280 | 100.0% |
| samsung SM-N975F | |||
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| Object Detection (SP) | 239 | 239 | 100.0% |
| samsung SM-N975F | |||
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| Object Detection (HP) | 318 | 318 | 100.0% |
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| Object Detection (Q) | 313 | 313 | 100.0% |
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| Face Detection (SP) | 963 | 963 | 100.0% |
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| Face Detection (HP) | 1291 | 1291 | 100.0% |
| samsung SM-N975F | |||
| samsung SM-N975F | |||
| Face Detection (Q) | 1190 | 1190 | 100.0% |
| samsung SM-N975F | |||
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| Depth Estimation (SP) | 495 | 495 | 100.0% |
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| Depth Estimation (HP) | 681 | 681 | 100.0% |
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| Depth Estimation (Q) | 465 | 465 | 100.0% |
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| Style Transfer (SP) | 968 | 968 | 100.0% |
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| Style Transfer (HP) | 1546 | 1546 | 100.0% |
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| Style Transfer (Q) | 1538 | 1538 | 100.0% |
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| Image Super-Resolution (SP) | 272 | 272 | 100.0% |
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| Image Super-Resolution (HP) | 363 | 363 | 100.0% |
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| Image Super-Resolution (Q) | 362 | 362 | 100.0% |
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| Text Classification (SP) | 239 | 239 | 100.0% |
| samsung SM-N975F | |||
| samsung SM-N975F | |||
| Text Classification (HP) | 237 | 237 | 100.0% |
| samsung SM-N975F | |||
| samsung SM-N975F | |||
| Text Classification (Q) | 385 | 385 | 100.0% |
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| Machine Translation (SP) | 392 | 392 | 100.0% |
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| Machine Translation (HP) | 381 | 381 | 100.0% |
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| samsung SM-N975F | |||
| Machine Translation (Q) | 310 | 310 | 100.0% |
| samsung SM-N975F | |||
| samsung SM-N975F | |||
