LENOVO TB520FU
Geekbench AI Score
2601
Single Precision Score
2607
Half Precision Score
4192
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 05:25 PM |
| Views | 1 |
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% |
1813
337.2 IPS |
|
|
Image Classification (HP)
|
100% |
2183
405.9 IPS |
|
|
Image Classification (Q)
|
100% |
3365
625.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3895
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3640
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3514
4.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
8552
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
2015
160.4 IPS |
|
|
Object Detection (HP)
|
98% |
1869
148.7 IPS |
|
|
Object Detection (Q)
|
83% |
3066
247.7 IPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (Q)
|
95% |
6845
81.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3868
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3799
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6445
59.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9121
11.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9038
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18702
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4766
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
998
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1434
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (Q)
|
50% |
866
30.8 IPS |
