LENOVO XT2571-1
Geekbench AI Score
1133
Single Precision Score
4600
Half Precision Score
4670
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1012
188.1 IPS |
|
|
Image Classification (HP)
|
100% |
4149
771.5 IPS |
|
|
Image Classification (Q)
|
99% |
7748
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4187
67.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1800
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8159
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
17701
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
73484
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
4318
342.5 IPS |
|
|
Object Detection (Q)
|
86% |
5120
411.9 IPS |
|
|
Face Detection (SP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
10502
124.8 IPS |
|
|
Face Detection (Q)
|
97% |
11337
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
19184
147.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
31468
298.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3417
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
521
7.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2556
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10246
378.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7306
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
100
134.1 IPS |
|
|
Text Classification (HP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (Q)
|
93% |
1699
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
60% |
408
9.18 IPS |
