LENOVO TB321FU vs LENOVO TB321FU
| LENOVO TB321FU | LENOVO TB321FU | Difference | |
|---|---|---|---|
| Single Precision | 1149 | 1149 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Half Precision | 1749 | 1749 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Quantized | 1622 | 1622 | 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 | GPU | GPU |
| 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) | 728 | 728 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (HP) | 792 | 792 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (Q) | 738 | 738 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (SP) | 1281 | 1281 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (HP) | 1843 | 1843 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (Q) | 1086 | 1086 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (SP) | 1088 | 1088 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (HP) | 2580 | 2580 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (Q) | 2554 | 2554 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (SP) | 717 | 717 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (HP) | 1094 | 1094 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (Q) | 1004 | 1004 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (SP) | 2671 | 2671 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (HP) | 3165 | 3165 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (Q) | 2739 | 2739 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (SP) | 1823 | 1823 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (HP) | 3719 | 3719 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (Q) | 3061 | 3061 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (SP) | 6748 | 6748 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (HP) | 10917 | 10917 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (Q) | 10674 | 10674 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (SP) | 538 | 538 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (HP) | 1633 | 1633 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (Q) | 1564 | 1564 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (SP) | 449 | 449 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (HP) | 455 | 455 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (Q) | 743 | 743 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (SP) | 699 | 699 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (HP) | 684 | 684 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (Q) | 593 | 593 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
