LENOVO TB520FU
Geekbench AI Score
2047
Single Precision Score
3201
Half Precision Score
2439
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | September 07 2025 08:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1253
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
1853
344.6 IPS |
|
|
Image Classification (Q)
|
100% |
1719
319.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4381
71.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3520
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10293
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
18844
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18290
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
99% |
1776
140.9 IPS |
|
|
Object Detection (Q)
|
87% |
1657
133.0 IPS |
|
|
Face Detection (SP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7679
91.2 IPS |
|
|
Face Detection (Q)
|
97% |
5466
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5276
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7757
59.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
5928
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13234
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28057
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27074
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2820
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4442
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4559
169.0 IPS |
|
|
Text Classification (SP)
|
35% |
47
461.1 IPS |
|
|
Text Classification (HP)
|
35% |
63
570.6 IPS |
|
|
Text Classification (Q)
|
33% |
46
554.2 IPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
97% |
889
15.4 IPS |
|
|
Machine Translation (Q)
|
43% |
221
12.6 IPS |
