onn 100110027 vs onn 100110027
| onn 100110027 | onn 100110027 | Difference | |
|---|---|---|---|
| Single Precision | 474 | 474 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Half Precision | 472 | 472 | 100.0% |
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| Quantized | 921 | 921 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| onn 100110027 | onn 100110027 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 13 | Android 13 |
| Model | onn 100110027 | onn 100110027 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | mid1108_ms_64 | mid1108_ms_64 |
| Memory | 3.75 GB | 3.75 GB |
AI Performance
| onn 100110027 | onn 100110027 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 216 | 216 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Classification (HP) | 216 | 216 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Classification (Q) | 638 | 638 | 100.0% |
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| Image Segmentation (SP) | 262 | 262 | 100.0% |
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| onn 100110027 | |||
| Image Segmentation (HP) | 262 | 262 | 100.0% |
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| onn 100110027 | |||
| Image Segmentation (Q) | 684 | 684 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Pose Estimation (SP) | 1026 | 1026 | 100.0% |
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| onn 100110027 | |||
| Pose Estimation (HP) | 1021 | 1021 | 100.0% |
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| Pose Estimation (Q) | 1628 | 1628 | 100.0% |
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| Object Detection (SP) | 218 | 218 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Object Detection (HP) | 218 | 218 | 100.0% |
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| onn 100110027 | |||
| Object Detection (Q) | 634 | 634 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Face Detection (SP) | 648 | 648 | 100.0% |
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| onn 100110027 | |||
| Face Detection (HP) | 645 | 645 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Face Detection (Q) | 1423 | 1423 | 100.0% |
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| Depth Estimation (SP) | 797 | 797 | 100.0% |
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| onn 100110027 | |||
| Depth Estimation (HP) | 773 | 773 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Depth Estimation (Q) | 1479 | 1479 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Style Transfer (SP) | 1697 | 1697 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Style Transfer (HP) | 1749 | 1749 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Style Transfer (Q) | 3683 | 3683 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Super-Resolution (SP) | 446 | 446 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Super-Resolution (HP) | 451 | 451 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Super-Resolution (Q) | 892 | 892 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Text Classification (SP) | 268 | 268 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Text Classification (HP) | 262 | 262 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Text Classification (Q) | 478 | 478 | 100.0% |
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| onn 100110027 | |||
| Machine Translation (SP) | 433 | 433 | 100.0% |
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| onn 100110027 | |||
| Machine Translation (HP) | 431 | 431 | 100.0% |
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| onn 100110027 | |||
| Machine Translation (Q) | 296 | 296 | 100.0% |
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| onn 100110027 | |||
