LENOVO TB520FU
Geekbench AI Score
2712
Single Precision Score
2705
Half Precision Score
4311
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | October 31 2025 03:20 AM |
| Views | 7 |
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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
2431
452.1 IPS |
|
|
Image Classification (Q)
|
100% |
3479
647.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2620
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4064
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3938
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3740
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
8878
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1897
151.0 IPS |
|
|
Object Detection (HP)
|
98% |
1886
150.1 IPS |
|
|
Object Detection (Q)
|
83% |
2891
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (Q)
|
95% |
7158
85.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4108
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4054
31.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6997
64.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9349
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9251
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18945
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5082
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
973
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1444
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (Q)
|
50% |
878
31.2 IPS |
