| Upload Date | December 16 2025 05:40 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83DN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6051
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
8975
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
10794
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5341
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13982
226.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19859
321.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26092
30.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
24363
28.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
84516
98.9 IPS |
|
|
Object Detection (SP)
|
100% |
5774
458.0 IPS |
|
|
Object Detection (HP)
|
100% |
9343
741.1 IPS |
|
|
Object Detection (Q)
|
88% |
13542
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
10860
129.0 IPS |
|
|
Face Detection (HP)
|
100% |
21748
258.4 IPS |
|
|
Face Detection (Q)
|
100% |
35138
417.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21349
164.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
35786
276.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
42340
329.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54795
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
76298
98.1 IPS |
|
|
Style Transfer (Q)
|
98% |
188713
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10002
369.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17076
630.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24584
910.4 IPS |
|
|
Text Classification (SP)
|
71% |
1656
2.39 KIPS |
|
|
Text Classification (HP)
|
71% |
2752
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2738
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3881
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4079
70.5 IPS |