| Upload Date | December 17 2025 08:39 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KR |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1476
274.5 IPS |
|
|
Image Classification (HP)
|
100% |
5309
987.3 IPS |
|
|
Image Classification (Q)
|
100% |
7663
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4123
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
29389
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62747
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.3 IPS |
|
|
Object Detection (HP)
|
100% |
4315
342.3 IPS |
|
|
Object Detection (Q)
|
89% |
7675
614.7 IPS |
|
|
Face Detection (SP)
|
100% |
4710
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
11525
136.9 IPS |
|
|
Face Detection (Q)
|
100% |
23943
284.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4678
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15747
121.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
30368
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13848
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45985
59.1 IPS |
|
|
Style Transfer (Q)
|
98% |
81658
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11135
411.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18261
676.3 IPS |
|
|
Text Classification (SP)
|
100% |
1999
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2811
48.4 IPS |