| Upload Date | September 22 2025 05:48 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1628
302.8 IPS |
|
|
Image Classification (HP)
|
100% |
12805
2.38 KIPS |
|
|
Image Classification (Q)
|
100% |
17431
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15522
251.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23838
386.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
84470
98.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
190321
222.9 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
16448
1.30 KIPS |
|
|
Object Detection (Q)
|
88% |
26209
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4826
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
36860
438.0 IPS |
|
|
Face Detection (Q)
|
100% |
75758
900.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4053
31.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
77344
598.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
145986
1.14 KIPS |
|
|
Style Transfer (SP)
|
100% |
8852
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202040
259.7 IPS |
|
|
Style Transfer (Q)
|
98% |
345494
445.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31458
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56815
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3816
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2852
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6916
119.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7563
130.3 IPS |