| User | tobyg |
| Upload Date | February 04 2026 08:38 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware 18 Area-51 AA18250 |
| Motherboard | Alienware 0D469V |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5822
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
7094
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9882
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7883
127.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3406
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13040
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34003
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
74792
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
5249
416.3 IPS |
|
|
Object Detection (HP)
|
100% |
6168
489.3 IPS |
|
|
Object Detection (Q)
|
88% |
10313
826.8 IPS |
|
|
Face Detection (SP)
|
100% |
16456
195.5 IPS |
|
|
Face Detection (HP)
|
100% |
18895
224.5 IPS |
|
|
Face Detection (Q)
|
100% |
33857
402.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13811
106.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19082
147.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
35457
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
37538
48.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55646
71.5 IPS |
|
|
Style Transfer (Q)
|
98% |
100682
129.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7685
283.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16427
606.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31702
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3837
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2134
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4859
83.7 IPS |