| User | pctest2014 |
| Upload Date | January 06 2026 11:08 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP EliteBook 8 G1i 13 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1431
266.1 IPS |
|
|
Image Classification (HP)
|
100% |
6372
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8708
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3557
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3737
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
31867
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
68093
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
100% |
5697
451.9 IPS |
|
|
Object Detection (Q)
|
87% |
9132
732.9 IPS |
|
|
Face Detection (SP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
15025
178.5 IPS |
|
|
Face Detection (Q)
|
100% |
29085
345.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4602
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18412
141.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33673
262.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10710
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50575
65.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92062
118.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13233
488.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22001
814.8 IPS |
|
|
Text Classification (SP)
|
100% |
1757
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1823
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3840
66.2 IPS |