| Upload Date | February 09 2026 04:50 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21WNSIT028 |
| Motherboard | LENOVO 21WNSIT028 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 356H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2939
546.5 IPS |
|
|
Image Classification (HP)
|
100% |
21838
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
27442
5.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3214
52.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14591
236.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22120
359.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5449
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
112621
131.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
272149
319.0 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
23243
1.84 KIPS |
|
|
Object Detection (Q)
|
87% |
31101
2.50 KIPS |
|
|
Face Detection (SP)
|
100% |
7454
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
53889
640.3 IPS |
|
|
Face Detection (Q)
|
100% |
79044
939.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6577
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
91836
707.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
180502
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
15217
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
239063
307.3 IPS |
|
|
Style Transfer (Q)
|
98% |
384938
496.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2927
108.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62366
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
116128
4.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
92% |
4859
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2638
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
12926
222.7 IPS |
|
|
Machine Translation (Q)
|
100% |
13202
227.4 IPS |