| Upload Date | February 09 2026 04:38 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
5547
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
14662
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
18464
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6572
106.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23536
381.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27374
443.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16300
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
89856
104.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
189171
221.5 IPS |
|
|
Object Detection (SP)
|
100% |
4925
390.6 IPS |
|
|
Object Detection (HP)
|
100% |
16087
1.28 KIPS |
|
|
Object Detection (Q)
|
88% |
21703
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
11680
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
29632
352.1 IPS |
|
|
Face Detection (Q)
|
100% |
41466
492.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18193
140.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50980
392.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
62910
489.2 IPS |
|
|
Style Transfer (SP)
|
100% |
41771
53.7 IPS |
|
|
Style Transfer (HP)
|
100% |
166406
213.9 IPS |
|
|
Style Transfer (Q)
|
98% |
237964
306.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6728
248.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26339
972.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44257
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4561
6.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6863
9.16 KIPS |
|
|
Text Classification (Q)
|
92% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6918
119.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8439
145.4 IPS |