LENOVO TB520FU
Geekbench AI Score
2512
Single Precision Score
2472
Half Precision Score
3972
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 07:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2138
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (Q)
|
100% |
3144
584.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3882
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3787
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3461
4.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
7977
9.46 IPS |
|
|
Object Detection (SP)
|
98% |
1972
156.9 IPS |
|
|
Object Detection (HP)
|
98% |
1882
149.8 IPS |
|
|
Object Detection (Q)
|
83% |
3093
249.9 IPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (Q)
|
95% |
6903
82.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3538
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3619
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5517
50.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8996
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9026
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16943
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4862
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
948
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1367
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
757
26.9 IPS |
