samsung SM-F966U1 vs samsung SM-F966U1
| samsung SM-F966U1 | samsung SM-F966U1 | Difference | |
|---|---|---|---|
| Single Precision | 1765 | 1765 | 100.0% |
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| samsung SM-F966U1 | |||
| Half Precision | 2702 | 2702 | 100.0% |
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| Quantized | 2224 | 2224 | 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 | GPU | GPU |
| 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) | 1694 | 1694 | 100.0% |
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| Image Classification (HP) | 2878 | 2878 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Classification (Q) | 2787 | 2787 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Segmentation (SP) | 3152 | 3152 | 100.0% |
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| Image Segmentation (HP) | 5906 | 5906 | 100.0% |
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| Image Segmentation (Q) | 4081 | 4081 | 100.0% |
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| Pose Estimation (SP) | 11562 | 11562 | 100.0% |
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| samsung SM-F966U1 | |||
| Pose Estimation (HP) | 18146 | 18146 | 100.0% |
| samsung SM-F966U1 | |||
| samsung SM-F966U1 | |||
| Pose Estimation (Q) | 16023 | 16023 | 100.0% |
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| Object Detection (SP) | 982 | 982 | 100.0% |
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| Object Detection (HP) | 1266 | 1266 | 100.0% |
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| Object Detection (Q) | 1236 | 1236 | 100.0% |
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| Face Detection (SP) | 3683 | 3683 | 100.0% |
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| samsung SM-F966U1 | |||
| Face Detection (HP) | 6278 | 6278 | 100.0% |
| samsung SM-F966U1 | |||
| samsung SM-F966U1 | |||
| Face Detection (Q) | 6159 | 6159 | 100.0% |
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| Depth Estimation (SP) | 3780 | 3780 | 100.0% |
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| samsung SM-F966U1 | |||
| Depth Estimation (HP) | 4202 | 4202 | 100.0% |
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| samsung SM-F966U1 | |||
| Depth Estimation (Q) | 3326 | 3326 | 100.0% |
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| Style Transfer (SP) | 8252 | 8252 | 100.0% |
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| Style Transfer (HP) | 17809 | 17809 | 100.0% |
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| Style Transfer (Q) | 20444 | 20444 | 100.0% |
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| Image Super-Resolution (SP) | 2087 | 2087 | 100.0% |
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| Image Super-Resolution (HP) | 3388 | 3388 | 100.0% |
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| samsung SM-F966U1 | |||
| Image Super-Resolution (Q) | 2650 | 2650 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (SP) | 38 | 38 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (HP) | 36 | 36 | 100.0% |
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| samsung SM-F966U1 | |||
| Text Classification (Q) | 31 | 31 | 100.0% |
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| Machine Translation (SP) | 534 | 534 | 100.0% |
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| Machine Translation (HP) | 928 | 928 | 100.0% |
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| Machine Translation (Q) | 383 | 383 | 100.0% |
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