LENOVO TB520FU
Geekbench AI Score
467
Single Precision Score
467
Half Precision Score
1089
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | October 31 2025 03:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
99% |
772
143.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1895
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
87% |
809
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
679
8.06 IPS |
|
|
Face Detection (HP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (Q)
|
97% |
1655
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
588
4.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1443
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
968
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
967
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2409
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1123
41.6 IPS |
|
|
Text Classification (SP)
|
100% |
442
590.0 IPS |
|
|
Text Classification (HP)
|
100% |
438
584.9 IPS |
|
|
Text Classification (Q)
|
91% |
718
964.7 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
568
13.9 IPS |
