| Upload Date | November 26 2025 05:41 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.6 IPS |
|
|
Image Classification (Q)
|
99% |
5330
994.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5363
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5450
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3302
3.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
17139
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
86% |
4527
363.8 IPS |
|
|
Face Detection (SP)
|
100% |
6476
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
6333
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6351
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1681
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11818
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12421
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8232
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16647
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3928
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
1266
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.2 IPS |
|
|
Text Classification (Q)
|
97% |
499
668.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2318
46.6 IPS |