LENOVO TB571FU
Geekbench AI Score
741
Single Precision Score
1023
Half Precision Score
987
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 11:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB571FU |
| Model ID | LENOVO TB571FU |
| Motherboard | mahakala |
| Governor | smsi_sugov |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 1 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 3 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 1.90 GHz |
| Cluster 3 | 3 Cores @ 2.83 GHz |
| Cluster 4 | 2 Cores @ 3.29 GHz |
| Memory Information | |
|---|---|
| Size | 14.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
604
112.4 IPS |
|
|
Image Classification (HP)
|
100% |
873
162.3 IPS |
|
|
Image Classification (Q)
|
99% |
727
135.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1088
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
832
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
833
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
83% |
661
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
2537
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
2216
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
917
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1304
10.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1057
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2612
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3867
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
3852
4.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
799
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
450
601.1 IPS |
|
|
Text Classification (HP)
|
100% |
452
603.0 IPS |
|
|
Text Classification (Q)
|
91% |
690
928.0 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.52 IPS |
|
|
Machine Translation (Q)
|
57% |
409
10.0 IPS |
