LENOVO TB321FU vs LENOVO TB321FU
| LENOVO TB321FU | LENOVO TB321FU | Difference | |
|---|---|---|---|
| Single Precision | 2721 | 2721 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Half Precision | 2731 | 2731 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Quantized | 4391 | 4391 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| LENOVO TB321FU | LENOVO TB321FU | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| 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) | 1984 | 1984 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (HP) | 2379 | 2379 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Classification (Q) | 3371 | 3371 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (SP) | 2682 | 2682 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (HP) | 2537 | 2537 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Segmentation (Q) | 3986 | 3986 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (SP) | 3985 | 3985 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (HP) | 3801 | 3801 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Pose Estimation (Q) | 9447 | 9447 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (SP) | 2153 | 2153 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (HP) | 1963 | 1963 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Object Detection (Q) | 3018 | 3018 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (SP) | 4123 | 4123 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (HP) | 4153 | 4153 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Face Detection (Q) | 7363 | 7363 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (SP) | 3887 | 3887 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (HP) | 4163 | 4163 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Depth Estimation (Q) | 6927 | 6927 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (SP) | 9910 | 9910 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (HP) | 9212 | 9212 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Style Transfer (Q) | 19922 | 19922 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (SP) | 2003 | 2003 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (HP) | 1975 | 1975 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Image Super-Resolution (Q) | 5088 | 5088 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (SP) | 930 | 930 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (HP) | 971 | 971 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Text Classification (Q) | 1451 | 1451 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (SP) | 1649 | 1649 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (HP) | 1680 | 1680 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
| Machine Translation (Q) | 928 | 928 | 100.0% |
| LENOVO TB321FU | |||
| LENOVO TB321FU | |||
