| Upload Date | January 17 2026 04:44 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProDesk 4 SFF G1i Desktop AI PC |
| Motherboard | HP 8D14 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (HP)
|
100% |
2554
475.0 IPS |
|
|
Image Classification (Q)
|
99% |
1384
258.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3806
61.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1349
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5816
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
13817
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
5047
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
3055
242.4 IPS |
|
|
Object Detection (Q)
|
86% |
1420
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5628
66.9 IPS |
|
|
Face Detection (Q)
|
97% |
2209
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5938
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9872
76.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4573
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19067
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29818
38.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14165
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3795
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2451
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
638
852.0 IPS |
|
|
Text Classification (Q)
|
97% |
565
756.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1519
26.3 IPS |
|
|
Machine Translation (Q)
|
70% |
599
11.2 IPS |