| Upload Date | February 02 2026 11:41 AM |
| Views | 2 |
| 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 | 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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
14340
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
20325
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15580
252.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25407
411.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2711
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
84703
98.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
187492
219.6 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
100% |
15561
1.23 KIPS |
|
|
Object Detection (Q)
|
88% |
23346
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
39995
475.2 IPS |
|
|
Face Detection (Q)
|
100% |
85988
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3693
28.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
75320
582.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
147369
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
7501
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
196547
252.7 IPS |
|
|
Style Transfer (Q)
|
98% |
353425
455.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31708
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58642
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (Q)
|
92% |
3629
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7020
120.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8004
137.9 IPS |