| Upload Date | November 11 2025 11:33 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH SCHENKER KEY 18 Pro (E25) |
| Motherboard | NB01 X58xWNx |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5045
938.2 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (Q)
|
99% |
8588
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15526
252.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12367
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7080
8.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
37512
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
4782
379.3 IPS |
|
|
Object Detection (HP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (Q)
|
86% |
10594
851.4 IPS |
|
|
Face Detection (SP)
|
100% |
13847
164.5 IPS |
|
|
Face Detection (HP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (Q)
|
97% |
11941
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13440
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3018
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20829
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25819
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17536
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21922
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4968
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2964
109.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4673
173.0 IPS |
|
|
Text Classification (SP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1390
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2623
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3580
71.9 IPS |