Lenovo P14s Gen 5 ONNX ML dGPU Backend BASELINE 0825 LENOVO 21G20025US
Geekbench AI Score
4380
Single Precision Score
6988
Half Precision Score
3266
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | July 29 2025 10:08 AM |
| Views | 4 |
| Notes | RTX 500 dGPU ML 0825 revised baseline. |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro Graphics |
| 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% |
2236
415.9 IPS |
|
|
Image Classification (HP)
|
100% |
4252
790.8 IPS |
|
|
Image Classification (Q)
|
100% |
1923
357.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6611
107.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2345
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12844
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17029
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11075
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
99% |
4759
378.5 IPS |
|
|
Object Detection (Q)
|
86% |
1988
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7551
89.7 IPS |
|
|
Face Detection (Q)
|
97% |
3261
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8702
67.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
17469
135.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
7021
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39530
50.8 IPS |
|
|
Style Transfer (HP)
|
100% |
57110
73.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28131
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6162
227.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10163
375.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3677
136.1 IPS |
|
|
Text Classification (SP)
|
86% |
724
979.4 IPS |
|
|
Text Classification (HP)
|
99% |
682
910.3 IPS |
|
|
Text Classification (Q)
|
84% |
600
814.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (Q)
|
70% |
981
18.4 IPS |
