| User | Koushik03 |
| Upload Date | December 08 2025 04:31 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Alienware Alienware 18 Area-51 AA18250 |
| Motherboard | Alienware 0M66RF |
| 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% |
5415
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
7200
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10133
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7569
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3591
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13010
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35219
41.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75163
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
5282
419.0 IPS |
|
|
Object Detection (HP)
|
100% |
6256
496.2 IPS |
|
|
Object Detection (Q)
|
88% |
10650
853.8 IPS |
|
|
Face Detection (SP)
|
100% |
14673
174.3 IPS |
|
|
Face Detection (HP)
|
100% |
18357
218.1 IPS |
|
|
Face Detection (Q)
|
100% |
34636
411.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13190
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19231
148.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35151
273.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28106
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54600
70.2 IPS |
|
|
Style Transfer (Q)
|
98% |
100115
129.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7973
294.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16258
600.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31794
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2215
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4837
83.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4863
83.8 IPS |