LENOVO TB520FU
Geekbench AI Score
443
Single Precision Score
20650
Half Precision Score
50840
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | September 08 2025 02:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
287
53.5 IPS |
|
|
Image Classification (HP)
|
100% |
16294
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
41390
7.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
10796
175.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31261
508.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
76142
88.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
397587
465.4 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
14564
1.16 KIPS |
|
|
Object Detection (Q)
|
86% |
19911
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
32232
383.0 IPS |
|
|
Face Detection (Q)
|
97% |
120761
1.44 KIPS |
|
|
Depth Estimation (SP)
|
100% |
558
4.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
58238
448.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
115729
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
926
1.19 IPS |
|
|
Style Transfer (HP)
|
98% |
82314
106.1 IPS |
|
|
Style Transfer (Q)
|
98% |
419502
541.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39371
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
109504
4.06 KIPS |
|
|
Text Classification (SP)
|
100% |
410
547.5 IPS |
|
|
Text Classification (HP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6822
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2572
67.4 IPS |
