Lenovo P14s Gen 5 OpenVINO CPU Backend BASELINE 0825 LENOVO 21G20025US
Geekbench AI Score
2705
Single Precision Score
2587
Half Precision Score
6477
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | July 29 2025 10:13 AM |
| Views | 7 |
| Notes | OpenVINO on CPU |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| 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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
1360
253.0 IPS |
|
|
Image Classification (Q)
|
100% |
4209
782.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4616
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3469
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
11976
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (Q)
|
88% |
4268
342.2 IPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
8815
104.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3913
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3918
30.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
10770
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11268
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9734
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34794
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6498
240.6 IPS |
|
|
Text Classification (SP)
|
100% |
1597
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2934
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2078
35.8 IPS |
