| User | GoldCylon |
| Upload Date | October 11 2025 10:41 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniDesk Desktop M03-0xxx |
| Motherboard | HP 8D35 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3435
638.8 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.4 IPS |
|
|
Image Classification (Q)
|
99% |
7758
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7659
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6968
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
5360
6.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
25006
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
3382
268.3 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
7585
609.6 IPS |
|
|
Face Detection (SP)
|
100% |
8810
104.7 IPS |
|
|
Face Detection (HP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
10647
126.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9429
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2855
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17041
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15791
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14007
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24752
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3224
119.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2640
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6451
238.9 IPS |
|
|
Text Classification (SP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3644
73.2 IPS |