LENOVO TB520FU
Geekbench AI Score
2576
Single Precision Score
2569
Half Precision Score
4096
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | September 08 2025 01:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
2287
425.4 IPS |
|
|
Image Classification (Q)
|
100% |
3481
647.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3968
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3706
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3553
4.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
8595
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
2007
159.7 IPS |
|
|
Object Detection (HP)
|
98% |
2006
159.6 IPS |
|
|
Object Detection (Q)
|
83% |
2739
221.2 IPS |
|
|
Face Detection (SP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3830
45.5 IPS |
|
|
Face Detection (Q)
|
95% |
6355
75.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3898
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3572
27.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6419
58.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9060
11.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8976
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18014
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1916
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4807
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
1415
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
819
29.1 IPS |
