Skyth TD-TP109M vs Skyth TD-TP109M
| Skyth TD-TP109M | Skyth TD-TP109M | Difference | |
|---|---|---|---|
| Single Precision | 131 | 131 | 100.0% |
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| Half Precision | 130 | 130 | 100.0% |
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| Quantized | 170 | 170 | 100.0% |
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| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Skyth TD-TP109M | Skyth TD-TP109M | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM Unisoc | ARM Unisoc |
| Operating System | Android 13 | Android 13 |
| Model | Skyth TD-TP109M | Skyth TD-TP109M |
| Processor |
ARM Unisoc @ 1.82 GHz
1 Processor, 4 Cores |
ARM Unisoc @ 1.82 GHz
1 Processor, 4 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Motherboard | ums312_2h10 | ums312_2h10 |
| Memory | 2.83 GB | 2.83 GB |
AI Performance
| Skyth TD-TP109M | Skyth TD-TP109M | Difference | |
|---|---|---|---|
| Image Classification (SP) | 56 | 56 | 100.0% |
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| Image Classification (HP) | 56 | 56 | 100.0% |
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| Image Classification (Q) | 114 | 114 | 100.0% |
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| Image Segmentation (SP) | 68 | 68 | 100.0% |
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| Image Segmentation (HP) | 70 | 70 | 100.0% |
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| Image Segmentation (Q) | 135 | 135 | 100.0% |
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| Pose Estimation (SP) | 275 | 275 | 100.0% |
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| Pose Estimation (HP) | 276 | 276 | 100.0% |
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| Pose Estimation (Q) | 202 | 202 | 100.0% |
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| Object Detection (SP) | 55 | 55 | 100.0% |
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| Object Detection (HP) | 55 | 55 | 100.0% |
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| Object Detection (Q) | 110 | 110 | 100.0% |
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| Face Detection (SP) | 187 | 187 | 100.0% |
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| Face Detection (HP) | 187 | 187 | 100.0% |
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| Face Detection (Q) | 304 | 304 | 100.0% |
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| Depth Estimation (SP) | 250 | 250 | 100.0% |
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| Depth Estimation (HP) | 238 | 238 | 100.0% |
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| Depth Estimation (Q) | 240 | 240 | 100.0% |
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| Style Transfer (SP) | 446 | 446 | 100.0% |
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| Style Transfer (HP) | 445 | 445 | 100.0% |
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| Style Transfer (Q) | 550 | 550 | 100.0% |
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| Image Super-Resolution (SP) | 133 | 133 | 100.0% |
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| Image Super-Resolution (HP) | 133 | 133 | 100.0% |
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| Image Super-Resolution (Q) | 134 | 134 | 100.0% |
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| Text Classification (SP) | 71 | 71 | 100.0% |
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| Text Classification (HP) | 70 | 70 | 100.0% |
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| Text Classification (Q) | 116 | 116 | 100.0% |
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| Machine Translation (SP) | 133 | 133 | 100.0% |
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| Machine Translation (HP) | 131 | 131 | 100.0% |
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| Machine Translation (Q) | 97 | 97 | 100.0% |
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