LENOVO TB520FU
Geekbench AI Score
472
Single Precision Score
20727
Half Precision Score
51180
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | October 31 2025 03:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
310
57.7 IPS |
|
|
Image Classification (HP)
|
100% |
16559
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
41620
7.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
10719
173.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
31163
506.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
76858
89.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
397938
465.8 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
14581
1.16 KIPS |
|
|
Object Detection (Q)
|
86% |
20096
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (HP)
|
100% |
32224
382.9 IPS |
|
|
Face Detection (Q)
|
97% |
122546
1.46 KIPS |
|
|
Depth Estimation (SP)
|
100% |
586
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
58540
451.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
117371
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (HP)
|
98% |
82405
106.3 IPS |
|
|
Style Transfer (Q)
|
98% |
421109
543.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39440
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
112521
4.17 KIPS |
|
|
Text Classification (SP)
|
100% |
435
581.1 IPS |
|
|
Text Classification (HP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6850
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2547
66.7 IPS |
