Lenovo P14s Gen 5 ONNX CPU Backend BASELINE 0825 LENOVO 21G20025US
Geekbench AI Score
2932
Single Precision Score
1309
Half Precision Score
5932
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | July 29 2025 10:04 AM |
| Views | 6 |
| Notes | Onnx revsised 0825 baseline; CPU Backend. |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2218
412.4 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
99% |
4841
902.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6942
112.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4537
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
16418
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.8 IPS |
|
|
Object Detection (Q)
|
86% |
4505
362.1 IPS |
|
|
Face Detection (SP)
|
100% |
6090
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7844
93.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5831
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1780
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12171
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10888
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8067
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17672
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4160
154.0 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.9 IPS |
|
|
Text Classification (Q)
|
97% |
1318
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1757
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2350
47.2 IPS |
