samsung SM-F741U vs samsung SM-F741U
| samsung SM-F741U | samsung SM-F741U | Difference | |
|---|---|---|---|
| Single Precision | 957 | 957 | 100.0% |
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| Half Precision | 1394 | 1394 | 100.0% |
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| Quantized | 1301 | 1301 | 100.0% |
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| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| samsung SM-F741U | samsung SM-F741U | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-F741U | samsung SM-F741U |
| Processor |
ARM ARMv8 @ 2.26 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.26 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Motherboard | pineapple | pineapple |
| Memory | 10.86 GB | 10.86 GB |
AI Performance
| samsung SM-F741U | samsung SM-F741U | Difference | |
|---|---|---|---|
| Image Classification (SP) | 560 | 560 | 100.0% |
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| Image Classification (HP) | 501 | 501 | 100.0% |
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| Image Classification (Q) | 477 | 477 | 100.0% |
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| Image Segmentation (SP) | 999 | 999 | 100.0% |
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| Image Segmentation (HP) | 1453 | 1453 | 100.0% |
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| Image Segmentation (Q) | 1145 | 1145 | 100.0% |
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| Pose Estimation (SP) | 1069 | 1069 | 100.0% |
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| Pose Estimation (HP) | 2163 | 2163 | 100.0% |
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| Pose Estimation (Q) | 1988 | 1988 | 100.0% |
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| Object Detection (SP) | 579 | 579 | 100.0% |
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| Object Detection (HP) | 703 | 703 | 100.0% |
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| Object Detection (Q) | 677 | 677 | 100.0% |
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| Face Detection (SP) | 2017 | 2017 | 100.0% |
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| Face Detection (HP) | 3182 | 3182 | 100.0% |
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| Face Detection (Q) | 2252 | 2252 | 100.0% |
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| Depth Estimation (SP) | 1456 | 1456 | 100.0% |
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| Depth Estimation (HP) | 2877 | 2877 | 100.0% |
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| Depth Estimation (Q) | 2375 | 2375 | 100.0% |
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| Style Transfer (SP) | 4934 | 4934 | 100.0% |
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| Style Transfer (HP) | 8228 | 8228 | 100.0% |
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| Style Transfer (Q) | 8027 | 8027 | 100.0% |
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| Image Super-Resolution (SP) | 412 | 412 | 100.0% |
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| Image Super-Resolution (HP) | 1081 | 1081 | 100.0% |
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| Image Super-Resolution (Q) | 1056 | 1056 | 100.0% |
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| Text Classification (SP) | 450 | 450 | 100.0% |
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| Text Classification (HP) | 450 | 450 | 100.0% |
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| Text Classification (Q) | 727 | 727 | 100.0% |
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| Machine Translation (SP) | 699 | 699 | 100.0% |
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| Machine Translation (HP) | 687 | 687 | 100.0% |
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| Machine Translation (Q) | 576 | 576 | 100.0% |
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