| User | Koushik03 |
| Upload Date | December 08 2025 04:27 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3988
741.6 IPS |
|
|
Image Classification (HP)
|
100% |
6009
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7961
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4292
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9238
149.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11534
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11585
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10954
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
36574
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
3702
293.6 IPS |
|
|
Object Detection (HP)
|
100% |
5949
471.8 IPS |
|
|
Object Detection (Q)
|
88% |
9304
745.6 IPS |
|
|
Face Detection (SP)
|
100% |
8894
105.7 IPS |
|
|
Face Detection (HP)
|
100% |
17295
205.5 IPS |
|
|
Face Detection (Q)
|
100% |
25730
305.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12613
97.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
22212
171.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
25645
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28944
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40989
52.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86319
111.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5149
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9283
342.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15070
558.1 IPS |
|
|
Text Classification (SP)
|
71% |
1618
2.34 KIPS |
|
|
Text Classification (HP)
|
71% |
2476
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
2521
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3730
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3740
64.6 IPS |