LENOVO TB520FU
Geekbench AI Score
2710
Single Precision Score
2752
Half Precision Score
4401
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 12:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB520FU |
| Model ID | LENOVO TB520FU |
| 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
2449
455.4 IPS |
|
|
Image Classification (Q)
|
100% |
3763
699.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4225
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4026
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3823
4.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
9291
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1924
153.1 IPS |
|
|
Object Detection (HP)
|
98% |
2182
173.7 IPS |
|
|
Object Detection (Q)
|
83% |
2901
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
4124
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (Q)
|
95% |
7290
87.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3999
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3897
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6927
63.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9582
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9675
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18992
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4988
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1494
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (Q)
|
50% |
892
31.7 IPS |
