| Upload Date | February 02 2026 11:39 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% |
1552
288.6 IPS |
|
|
Image Classification (HP)
|
100% |
15730
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
21493
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15747
255.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26362
427.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2455
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
85195
99.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
177483
207.9 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
15852
1.26 KIPS |
|
|
Object Detection (Q)
|
88% |
25068
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4259
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
41849
497.3 IPS |
|
|
Face Detection (Q)
|
100% |
92567
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3338
25.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
77286
597.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
152085
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
8468
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200011
257.1 IPS |
|
|
Style Transfer (Q)
|
98% |
356235
459.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33223
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62226
2.30 KIPS |
|
|
Text Classification (SP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (Q)
|
92% |
3570
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6482
111.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8208
141.4 IPS |