LENOVO TB520FU
Geekbench AI Score
444
Single Precision Score
446
Half Precision Score
1045
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | September 08 2025 01:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (Q)
|
99% |
738
137.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
726
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
455
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (Q)
|
98% |
1800
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
87% |
772
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
641
7.61 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.67 IPS |
|
|
Face Detection (Q)
|
97% |
1544
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
562
4.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
563
4.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1390
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
933
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
934
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
2348
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1078
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.9 IPS |
|
|
Text Classification (HP)
|
100% |
423
564.8 IPS |
|
|
Text Classification (Q)
|
91% |
712
957.4 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
543
13.3 IPS |
