| User | softmac |
| Upload Date | November 06 2025 10:11 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5018
933.2 IPS |
|
|
Image Classification (HP)
|
100% |
5876
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
9631
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7379
119.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4234
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10794
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12061
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10211
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
24157
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
4305
341.5 IPS |
|
|
Object Detection (HP)
|
100% |
5193
411.9 IPS |
|
|
Object Detection (Q)
|
88% |
9920
795.2 IPS |
|
|
Face Detection (SP)
|
100% |
13409
159.3 IPS |
|
|
Face Detection (HP)
|
100% |
16771
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
26057
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13090
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14154
109.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27086
210.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35335
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32455
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
75726
97.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6986
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14642
542.3 IPS |
|
|
Text Classification (SP)
|
100% |
4040
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
5543
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6342
109.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3073
52.9 IPS |