LENOVO TB321FU vs LENOVO TB321FU
| LENOVO TB321FU | LENOVO TB321FU | Difference | |
|---|---|---|---|
| Single Precision | 485 | 485 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Half Precision | 483 | 483 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Quantized | 1127 | 1127 | 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) | 314 | 314 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (HP) | 303 | 303 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (Q) | 805 | 805 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (SP) | 378 | 378 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (HP) | 380 | 380 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (Q) | 782 | 782 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (SP) | 505 | 505 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (HP) | 495 | 495 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (Q) | 1980 | 1980 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (SP) | 289 | 289 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (HP) | 291 | 291 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (Q) | 835 | 835 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (SP) | 699 | 699 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (HP) | 700 | 700 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (Q) | 1686 | 1686 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (SP) | 614 | 614 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (HP) | 609 | 609 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (Q) | 1519 | 1519 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (SP) | 986 | 986 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (HP) | 981 | 981 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (Q) | 2523 | 2523 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (SP) | 326 | 326 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (HP) | 333 | 333 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (Q) | 1125 | 1125 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (SP) | 441 | 441 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (HP) | 448 | 448 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (Q) | 749 | 749 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (SP) | 690 | 690 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (HP) | 671 | 671 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (Q) | 586 | 586 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
