| Upload Date | October 23 2025 04:36 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V 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 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% |
6325
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
12456
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
17353
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9014
146.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24173
391.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28413
460.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20483
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
113792
132.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
217186
254.3 IPS |
|
|
Object Detection (SP)
|
100% |
6009
476.7 IPS |
|
|
Object Detection (HP)
|
100% |
13300
1.05 KIPS |
|
|
Object Detection (Q)
|
88% |
14532
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
14312
170.1 IPS |
|
|
Face Detection (HP)
|
100% |
32602
387.4 IPS |
|
|
Face Detection (Q)
|
100% |
40884
485.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21708
167.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47190
363.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
57839
449.8 IPS |
|
|
Style Transfer (SP)
|
100% |
45875
59.0 IPS |
|
|
Style Transfer (HP)
|
100% |
138476
178.0 IPS |
|
|
Style Transfer (Q)
|
98% |
150433
194.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8911
329.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29768
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31698
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
92% |
3156
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7430
128.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7489
129.0 IPS |