LENOVO TB321FU
Geekbench AI Score
511
Single Precision Score
510
Half Precision Score
1172
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB321FU |
| Model ID | LENOVO TB321FU |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
319
59.4 IPS |
|
|
Image Classification (HP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (Q)
|
99% |
830
154.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
535
0.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
2104
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
87% |
871
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (Q)
|
97% |
1775
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
648
4.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1563
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1038
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1041
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2574
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1180
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.8 IPS |
|
|
Text Classification (HP)
|
100% |
469
625.5 IPS |
|
|
Text Classification (Q)
|
91% |
765
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
604
14.8 IPS |
