LENOVO TB571FU
Geekbench AI Score
1688
Single Precision Score
1682
Half Precision Score
3943
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 11:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB571FU |
| Model ID | LENOVO TB571FU |
| Motherboard | mahakala |
| Governor | smsi_sugov |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 1 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 3 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 1.90 GHz |
| Cluster 3 | 3 Cores @ 2.83 GHz |
| Cluster 4 | 2 Cores @ 3.29 GHz |
| Memory Information | |
|---|---|
| Size | 14.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.5 IPS |
|
|
Image Classification (HP)
|
100% |
1927
358.3 IPS |
|
|
Image Classification (Q)
|
100% |
3058
568.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3448
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2629
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
9158
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1404
111.7 IPS |
|
|
Object Detection (HP)
|
98% |
1412
112.3 IPS |
|
|
Object Detection (Q)
|
83% |
2877
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
6514
77.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1974
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1973
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6306
57.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5174
6.72 IPS |
|
|
Style Transfer (HP)
|
89% |
5176
6.72 IPS |
|
|
Style Transfer (Q)
|
98% |
16845
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1316
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4806
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
903
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
1417
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
695
24.7 IPS |
