| User | softmac |
| Upload Date | November 06 2025 10:31 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Alienware Alienware 16X Aurora AC16251 |
| Motherboard | Alienware 0P9T4R |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5352
995.2 IPS |
|
|
Image Classification (HP)
|
100% |
7412
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10380
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7365
119.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3594
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12396
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35196
41.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75295
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
4988
395.6 IPS |
|
|
Object Detection (HP)
|
100% |
6253
496.0 IPS |
|
|
Object Detection (Q)
|
88% |
10510
842.6 IPS |
|
|
Face Detection (SP)
|
100% |
15370
182.6 IPS |
|
|
Face Detection (HP)
|
100% |
18091
215.0 IPS |
|
|
Face Detection (Q)
|
100% |
34152
405.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13444
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18509
142.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34565
269.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36994
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53451
68.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96991
125.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7186
265.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16455
607.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32528
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2165
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4695
80.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4856
83.6 IPS |