| Upload Date | February 02 2026 12:20 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 238V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
1203
223.7 IPS |
|
|
Image Classification (Q)
|
100% |
4679
870.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4439
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2904
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
11219
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (Q)
|
88% |
4760
381.5 IPS |
|
|
Face Detection (SP)
|
100% |
4873
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
10987
130.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3884
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2727
21.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12046
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8452
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5659
7.28 IPS |
|
|
Style Transfer (Q)
|
98% |
30711
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5555
205.7 IPS |
|
|
Text Classification (SP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3330
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2385
41.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2707
46.6 IPS |