Teclast P30T_ROW vs Teclast P30T_ROW
| Teclast P30T_ROW | Teclast P30T_ROW | Difference | |
|---|---|---|---|
| Single Precision | 342 | 342 | 100.0% |
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| Half Precision | 335 | 335 | 100.0% |
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| Quantized | 627 | 627 | 100.0% |
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| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Teclast P30T_ROW | Teclast P30T_ROW | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | Teclast P30T_ROW | Teclast P30T_ROW |
| Processor |
ARM ARMv8 @ 1.61 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.61 GHz
1 Processor, 8 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 | ums9230_6h10 | ums9230_6h10 |
| Memory | 3.66 GB | 3.66 GB |
AI Performance
| Teclast P30T_ROW | Teclast P30T_ROW | Difference | |
|---|---|---|---|
| Image Classification (SP) | 171 | 171 | 100.0% |
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| Image Classification (HP) | 176 | 176 | 100.0% |
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| Image Classification (Q) | 450 | 450 | 100.0% |
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| Image Segmentation (SP) | 209 | 209 | 100.0% |
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| Image Segmentation (HP) | 207 | 207 | 100.0% |
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| Image Segmentation (Q) | 574 | 574 | 100.0% |
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| Pose Estimation (SP) | 756 | 756 | 100.0% |
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| Pose Estimation (HP) | 772 | 772 | 100.0% |
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| Pose Estimation (Q) | 1318 | 1318 | 100.0% |
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| Object Detection (SP) | 187 | 187 | 100.0% |
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| Object Detection (HP) | 183 | 183 | 100.0% |
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| Object Detection (Q) | 415 | 415 | 100.0% |
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| Face Detection (SP) | 441 | 441 | 100.0% |
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| Face Detection (HP) | 438 | 438 | 100.0% |
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| Face Detection (Q) | 1075 | 1075 | 100.0% |
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| Depth Estimation (SP) | 537 | 537 | 100.0% |
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| Depth Estimation (HP) | 426 | 426 | 100.0% |
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| Depth Estimation (Q) | 1163 | 1163 | 100.0% |
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| Style Transfer (SP) | 1508 | 1508 | 100.0% |
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| Style Transfer (HP) | 1523 | 1523 | 100.0% |
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| Style Transfer (Q) | 3081 | 3081 | 100.0% |
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| Image Super-Resolution (SP) | 291 | 291 | 100.0% |
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| Image Super-Resolution (HP) | 298 | 298 | 100.0% |
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| Image Super-Resolution (Q) | 672 | 672 | 100.0% |
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| Text Classification (SP) | 160 | 160 | 100.0% |
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| Text Classification (HP) | 161 | 161 | 100.0% |
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| Text Classification (Q) | 209 | 209 | 100.0% |
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| Machine Translation (SP) | 267 | 267 | 100.0% |
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| Machine Translation (HP) | 261 | 261 | 100.0% |
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| Machine Translation (Q) | 124 | 124 | 100.0% |
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