Upload Date | June 16 2025 09:51 AM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | NPU |
Device | Intel(R) AI Boost |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Enterprise (64-bit) |
Model | Microsoft Corporation Surface Pro for Business 11th Edition with Intel |
Motherboard | Microsoft Corporation Surface Pro for Business 11th Edition with Intel |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 5 236V |
Topology | 1 Processor, 8 Cores |
Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
Base Frequency | 2.10 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1659
308.5 IPS |
|
Image Classification (HP)
|
100% |
10605
1.97 KIPS |
|
Image Classification (Q)
|
100% |
15789
2.94 KIPS |
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
Image Segmentation (HP)
|
100% |
13181
213.7 IPS |
|
Image Segmentation (Q)
|
99% |
22785
369.4 IPS |
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
Pose Estimation (HP)
|
100% |
72906
85.1 IPS |
|
Pose Estimation (Q)
|
96% |
172406
202.0 IPS |
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
Object Detection (HP)
|
100% |
14737
1.17 KIPS |
|
Object Detection (Q)
|
87% |
20891
1.68 KIPS |
|
Face Detection (SP)
|
100% |
4681
55.6 IPS |
|
Face Detection (HP)
|
100% |
30914
367.3 IPS |
|
Face Detection (Q)
|
100% |
65627
779.8 IPS |
|
Depth Estimation (SP)
|
100% |
4072
31.4 IPS |
|
Depth Estimation (HP)
|
99% |
64259
495.1 IPS |
|
Depth Estimation (Q)
|
88% |
100799
784.5 IPS |
|
Style Transfer (SP)
|
100% |
8685
11.2 IPS |
|
Style Transfer (HP)
|
100% |
189443
243.5 IPS |
|
Style Transfer (Q)
|
98% |
258125
332.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
1809
66.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
22999
849.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
44426
1.65 KIPS |
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
Text Classification (Q)
|
92% |
1999
2.69 KIPS |
|
Machine Translation (SP)
|
100% |
3033
52.2 IPS |
|
Machine Translation (HP)
|
100% |
3961
68.2 IPS |
|
Machine Translation (Q)
|
100% |
4135
71.2 IPS |