| Upload Date | October 23 2025 04:36 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7463
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
15321
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
19052
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10038
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26432
428.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31229
506.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24035
28.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
135604
158.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
265498
310.8 IPS |
|
|
Object Detection (SP)
|
100% |
6700
531.4 IPS |
|
|
Object Detection (HP)
|
100% |
16327
1.30 KIPS |
|
|
Object Detection (Q)
|
88% |
18110
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
15233
181.0 IPS |
|
|
Face Detection (HP)
|
100% |
33240
395.0 IPS |
|
|
Face Detection (Q)
|
100% |
45794
544.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25487
196.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
61501
473.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
71432
555.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54837
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
154142
198.2 IPS |
|
|
Style Transfer (Q)
|
98% |
180638
232.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10134
374.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30373
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33082
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4556
6.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5945
7.94 KIPS |
|
|
Text Classification (Q)
|
92% |
3593
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8129
140.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8140
140.2 IPS |