Lenovo P14s Gen 5 OpenVINO iGPU Backend BASELINE 0825 LENOVO 21G20025US
Geekbench AI Score
7992
Single Precision Score
12857
Half Precision Score
19371
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | July 29 2025 10:18 AM |
| Views | 4 |
| Notes | Intel Arc Pro revised baseline OpenVINO |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro Graphics (iGPU) |
| 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% |
5792
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
8653
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
10193
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4652
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11849
192.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17022
275.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22306
26.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
19753
23.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
70449
82.5 IPS |
|
|
Object Detection (SP)
|
100% |
5321
422.0 IPS |
|
|
Object Detection (HP)
|
100% |
8994
713.4 IPS |
|
|
Object Detection (Q)
|
88% |
13057
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
8859
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
18432
219.0 IPS |
|
|
Face Detection (Q)
|
100% |
31008
368.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18983
146.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
33148
256.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
39611
307.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51175
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
69791
89.7 IPS |
|
|
Style Transfer (Q)
|
98% |
160406
206.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9002
332.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15523
573.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21795
807.1 IPS |
|
|
Text Classification (SP)
|
71% |
1753
2.54 KIPS |
|
|
Text Classification (HP)
|
71% |
2673
3.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2577
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3832
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4214
72.8 IPS |
