| User | softmac |
| Upload Date | November 06 2025 10:17 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3886
722.7 IPS |
|
|
Image Classification (HP)
|
100% |
5920
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7593
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3912
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8822
143.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11255
182.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11471
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
10719
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
36491
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (HP)
|
100% |
5625
446.2 IPS |
|
|
Object Detection (Q)
|
88% |
8919
714.8 IPS |
|
|
Face Detection (SP)
|
100% |
7889
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
15828
188.1 IPS |
|
|
Face Detection (Q)
|
100% |
24561
291.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12261
94.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
21758
168.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25432
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28652
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39954
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
86245
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9142
337.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14899
551.8 IPS |
|
|
Text Classification (SP)
|
71% |
1562
2.26 KIPS |
|
|
Text Classification (HP)
|
71% |
2410
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
2478
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3671
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3626
62.7 IPS |