LENOVO TB520FU
Geekbench AI Score
2682
Single Precision Score
2611
Half Precision Score
4210
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 05:22 PM |
| Views | 1 |
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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (Q)
|
100% |
3526
655.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3710
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3725
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3596
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
8735
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
2046
162.8 IPS |
|
|
Object Detection (HP)
|
98% |
1860
148.0 IPS |
|
|
Object Detection (Q)
|
83% |
3109
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (Q)
|
95% |
6622
79.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4052
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3864
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6547
60.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9315
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9116
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18327
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2100
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4958
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
938
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1447
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
865
30.7 IPS |
