onn 100110027 vs onn 100110027
| onn 100110027 | onn 100110027 | Difference | |
|---|---|---|---|
| Single Precision | 150 | 150 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Half Precision | 209 | 209 | 100.0% |
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| Quantized | 201 | 201 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| onn 100110027 | onn 100110027 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| 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 | mid1110_ms_64 | mid1110_ms_64 |
| Memory | 7.67 GB | 7.67 GB |
AI Performance
| onn 100110027 | onn 100110027 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 99 | 99 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Classification (HP) | 182 | 182 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Classification (Q) | 175 | 175 | 100.0% |
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| onn 100110027 | |||
| Image Segmentation (SP) | 136 | 136 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Segmentation (HP) | 238 | 238 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Segmentation (Q) | 225 | 225 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Pose Estimation (SP) | 93 | 93 | 100.0% |
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| onn 100110027 | |||
| Pose Estimation (HP) | 109 | 109 | 100.0% |
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| onn 100110027 | |||
| Pose Estimation (Q) | 108 | 108 | 100.0% |
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| onn 100110027 | |||
| Object Detection (SP) | 82 | 82 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Object Detection (HP) | 141 | 141 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Object Detection (Q) | 123 | 123 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Face Detection (SP) | 283 | 283 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Face Detection (HP) | 417 | 417 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Face Detection (Q) | 402 | 402 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Depth Estimation (SP) | 175 | 175 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Depth Estimation (HP) | 230 | 230 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Depth Estimation (Q) | 185 | 185 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Style Transfer (SP) | 350 | 350 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Style Transfer (HP) | 487 | 487 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Style Transfer (Q) | 485 | 485 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Super-Resolution (SP) | 89 | 89 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Super-Resolution (HP) | 138 | 138 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Image Super-Resolution (Q) | 136 | 136 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Text Classification (SP) | 152 | 152 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Text Classification (HP) | 151 | 151 | 100.0% |
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| onn 100110027 | |||
| Text Classification (Q) | 248 | 248 | 100.0% |
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| onn 100110027 | |||
| Machine Translation (SP) | 251 | 251 | 100.0% |
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| Machine Translation (HP) | 251 | 251 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
| Machine Translation (Q) | 176 | 176 | 100.0% |
| onn 100110027 | |||
| onn 100110027 | |||
