| Upload Date | October 23 2025 04:33 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D8A |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1961
364.7 IPS |
|
|
Image Classification (HP)
|
100% |
1411
262.4 IPS |
|
|
Image Classification (Q)
|
100% |
5371
998.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4984
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3485
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
13273
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1891
150.0 IPS |
|
|
Object Detection (HP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (Q)
|
88% |
5454
437.2 IPS |
|
|
Face Detection (SP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
13850
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3324
25.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
14410
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10371
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6709
8.62 IPS |
|
|
Style Transfer (Q)
|
98% |
37066
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7854
290.9 IPS |
|
|
Text Classification (SP)
|
100% |
2191
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4481
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2931
50.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3458
59.6 IPS |