| User | asymptotepmo |
| Upload Date | November 19 2025 11:28 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Power 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CA0 |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2473
460.0 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
99% |
4862
906.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4874
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4908
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3442
4.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
17613
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.3 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (Q)
|
86% |
4657
374.2 IPS |
|
|
Face Detection (SP)
|
100% |
6771
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
1192
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
6797
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6053
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1561
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12238
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11965
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8127
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17997
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3519
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
1177
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
549
732.4 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1926
38.7 IPS |