LENOVO TB321FU vs LENOVO TB321FU
| LENOVO TB321FU | LENOVO TB321FU | Difference | |
|---|---|---|---|
| Single Precision | 488 | 488 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Half Precision | 487 | 487 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Quantized | 1136 | 1136 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| LENOVO TB321FU | LENOVO TB321FU | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | LENOVO TB321FU | LENOVO TB321FU |
| 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 | 11.01 GB | 11.01 GB |
AI Performance
| LENOVO TB321FU | LENOVO TB321FU | Difference | |
|---|---|---|---|
| Image Classification (SP) | 304 | 304 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (HP) | 298 | 298 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (Q) | 795 | 795 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (SP) | 371 | 371 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (HP) | 372 | 372 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (Q) | 773 | 773 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (SP) | 500 | 500 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (HP) | 498 | 498 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (Q) | 1989 | 1989 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (SP) | 290 | 290 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (HP) | 291 | 291 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (Q) | 839 | 839 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (SP) | 704 | 704 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (HP) | 707 | 707 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (Q) | 1699 | 1699 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (SP) | 617 | 617 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (HP) | 618 | 618 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (Q) | 1539 | 1539 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (SP) | 1002 | 1002 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (HP) | 1003 | 1003 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (Q) | 2555 | 2555 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (SP) | 336 | 336 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (HP) | 340 | 340 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (Q) | 1170 | 1170 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (SP) | 460 | 460 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (HP) | 463 | 463 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (Q) | 758 | 758 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (SP) | 697 | 697 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (HP) | 683 | 683 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (Q) | 594 | 594 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
