LENOVO TB321FU vs LENOVO TB321FU
| LENOVO TB321FU | LENOVO TB321FU | Difference | |
|---|---|---|---|
| Single Precision | 511 | 511 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Half Precision | 510 | 510 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Quantized | 1172 | 1172 | 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) | 319 | 319 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (HP) | 317 | 317 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (Q) | 830 | 830 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (SP) | 401 | 401 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (HP) | 403 | 403 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (Q) | 830 | 830 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (SP) | 542 | 542 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (HP) | 535 | 535 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (Q) | 2104 | 2104 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (SP) | 304 | 304 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (HP) | 305 | 305 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (Q) | 871 | 871 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (SP) | 739 | 739 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (HP) | 747 | 747 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (Q) | 1775 | 1775 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (SP) | 653 | 653 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (HP) | 648 | 648 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (Q) | 1563 | 1563 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (SP) | 1038 | 1038 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (HP) | 1041 | 1041 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (Q) | 2574 | 2574 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (SP) | 349 | 349 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (HP) | 350 | 350 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (Q) | 1180 | 1180 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (SP) | 465 | 465 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (HP) | 469 | 469 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (Q) | 765 | 765 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (SP) | 718 | 718 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (HP) | 703 | 703 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (Q) | 604 | 604 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
