LENOVO TB520FU
Geekbench AI Score
2051
Single Precision Score
3188
Half Precision Score
2466
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | October 31 2025 03:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1276
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
1930
358.8 IPS |
|
|
Image Classification (Q)
|
100% |
1802
335.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3637
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10283
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
18494
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18501
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1163
92.3 IPS |
|
|
Object Detection (HP)
|
99% |
1721
136.5 IPS |
|
|
Object Detection (Q)
|
87% |
1631
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7189
85.4 IPS |
|
|
Face Detection (Q)
|
97% |
5614
66.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5301
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7696
59.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6012
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12844
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27301
35.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27521
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4485
165.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4323
160.2 IPS |
|
|
Text Classification (SP)
|
35% |
46
452.6 IPS |
|
|
Text Classification (HP)
|
35% |
60
546.5 IPS |
|
|
Text Classification (Q)
|
33% |
47
563.9 IPS |
|
|
Machine Translation (SP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (HP)
|
97% |
901
15.6 IPS |
|
|
Machine Translation (Q)
|
43% |
223
12.7 IPS |
