LENOVO XT2571-1
Geekbench AI Score
1256
Single Precision Score
1713
Half Precision Score
1448
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO XT2571-1 |
| Model ID | LENOVO XT2571-1 |
| Motherboard | P98300DA1 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
97% |
786
146.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2088
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6206
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
10762
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10494
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
99% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
83% |
895
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (Q)
|
96% |
3181
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3691
28.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5943
45.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4704
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10072
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18100
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17610
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2766
102.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2976
110.3 IPS |
|
|
Text Classification (SP)
|
35% |
27
245.3 IPS |
|
|
Text Classification (HP)
|
29% |
14
247.7 IPS |
|
|
Text Classification (Q)
|
32% |
18
234.2 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
43% |
187
10.9 IPS |
