Lenovo P14s Gen 5 OpenVINO NPU AI Boost BASELINE 0825 LENOVO 21G20025US
Geekbench AI Score
2612
Single Precision Score
8845
Half Precision Score
13767
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | July 29 2025 10:21 AM |
| Views | 5 |
| Notes | Revised OpenVINO baseline NPU/AI Boost |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 21G20025US |
| Motherboard | LENOVO 21G20025US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
6289
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8734
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3430
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
30537
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
65047
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
5362
425.3 IPS |
|
|
Object Detection (Q)
|
88% |
9180
735.9 IPS |
|
|
Face Detection (SP)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
15076
179.1 IPS |
|
|
Face Detection (Q)
|
100% |
28938
343.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3956
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16328
125.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29575
230.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9701
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
47299
60.8 IPS |
|
|
Style Transfer (Q)
|
98% |
86688
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14238
525.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27584
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1787
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1858
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3986
68.7 IPS |
