Upload Date | September 02 2025 09:57 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 | HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC |
Motherboard | HP 8C52 |
Power Plan | HP Optimized (Modern Standby) |
CPU Information | |
---|---|
Name | Intel Core Ultra 7 165H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 1.40 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1626
302.3 IPS |
|
Image Classification (HP)
|
100% |
6075
1.13 KIPS |
|
Image Classification (Q)
|
100% |
8351
1.55 KIPS |
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
Image Segmentation (Q)
|
99% |
3426
55.5 IPS |
|
Pose Estimation (SP)
|
100% |
4064
4.74 IPS |
|
Pose Estimation (HP)
|
100% |
30047
35.1 IPS |
|
Pose Estimation (Q)
|
96% |
64405
75.4 IPS |
|
Object Detection (SP)
|
100% |
1709
135.6 IPS |
|
Object Detection (HP)
|
100% |
5428
430.6 IPS |
|
Object Detection (Q)
|
87% |
8786
705.1 IPS |
|
Face Detection (SP)
|
100% |
5613
66.7 IPS |
|
Face Detection (HP)
|
100% |
14007
166.4 IPS |
|
Face Detection (Q)
|
100% |
27710
329.3 IPS |
|
Depth Estimation (SP)
|
100% |
5287
40.7 IPS |
|
Depth Estimation (HP)
|
99% |
16366
126.1 IPS |
|
Depth Estimation (Q)
|
88% |
32134
250.0 IPS |
|
Style Transfer (SP)
|
100% |
10899
14.0 IPS |
|
Style Transfer (HP)
|
100% |
47354
60.9 IPS |
|
Style Transfer (Q)
|
98% |
83444
107.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
2172
80.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
12513
462.0 IPS |
|
Image Super-Resolution (Q)
|
99% |
20833
771.5 IPS |
|
Text Classification (SP)
|
100% |
1902
2.54 KIPS |
|
Text Classification (HP)
|
100% |
1711
2.28 KIPS |
|
Text Classification (Q)
|
92% |
1728
2.32 KIPS |
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
Machine Translation (HP)
|
100% |
3828
65.9 IPS |
|
Machine Translation (Q)
|
100% |
3908
67.3 IPS |