| User | felixskw |
| Upload Date | September 21 2025 01:20 PM |
| Views | 8 |
| 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% |
2508
466.4 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.6 IPS |
|
|
Image Classification (Q)
|
99% |
4784
892.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4992
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5178
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3632
4.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
18173
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (Q)
|
86% |
4900
393.8 IPS |
|
|
Face Detection (SP)
|
100% |
7042
83.7 IPS |
|
|
Face Detection (HP)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
7371
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6437
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1762
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13030
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12342
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8658
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20399
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2283
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4309
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.7 IPS |
|
|
Text Classification (Q)
|
97% |
480
643.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2170
43.6 IPS |