| User | rbumbary |
| Upload Date | April 06 2026 04:50 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware 16 Area-51 AA16250 |
| Motherboard | Alienware 0NCJYD |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5800
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
6834
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
10723
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7164
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4368
70.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10863
176.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12838
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12226
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24263
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
4578
363.2 IPS |
|
|
Object Detection (HP)
|
100% |
6832
541.9 IPS |
|
|
Object Detection (Q)
|
88% |
10090
808.9 IPS |
|
|
Face Detection (SP)
|
100% |
15840
188.2 IPS |
|
|
Face Detection (HP)
|
100% |
16072
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
26010
309.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13907
107.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16333
125.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
30081
233.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34018
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24149
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
77118
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7593
280.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5595
206.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15923
589.7 IPS |
|
|
Text Classification (SP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5815
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6850
118.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2706
46.6 IPS |