Lenovo ThinkPad P14s Gen 5 Intel Core 5 Ultra 125H Backend OpenVINO LENOVO 21G20025US
Geekbench AI Score
2493
Single Precision Score
2530
Half Precision Score
6089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | May 11 2025 11:16 PM |
| Views | 11 |
| Notes | CPU backend. All normal system services and Bitdefender TS active. |
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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (Q)
|
100% |
4166
774.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4131
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
11622
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (Q)
|
88% |
3888
311.7 IPS |
|
|
Face Detection (SP)
|
100% |
4116
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (Q)
|
100% |
8420
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3824
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3891
30.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10593
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9809
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9592
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33076
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6193
229.4 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2854
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1728
29.8 IPS |
