Lenovo ThinkPad P14s Gen 5 Intel AiBoost Backend OpenVINO LENOVO 21G20025US
Geekbench AI Score
2607
Single Precision Score
8761
Half Precision Score
13266
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | May 11 2025 11:14 PM |
| Views | 9 |
| Notes | All normal services active with Bitdefender TS running. NPU backend. |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
6261
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8661
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3390
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3892
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
29949
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
64440
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (HP)
|
100% |
5473
434.1 IPS |
|
|
Object Detection (Q)
|
87% |
8893
713.7 IPS |
|
|
Face Detection (SP)
|
100% |
4412
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
14537
172.7 IPS |
|
|
Face Detection (Q)
|
100% |
24720
293.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3903
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16361
126.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30228
235.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9677
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46610
59.9 IPS |
|
|
Style Transfer (Q)
|
98% |
85571
110.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12640
466.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21116
782.0 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3972
68.4 IPS |
