| User | DrChandra |
| Upload Date | January 07 2026 07:57 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware 18 Area-51 AA18250 |
| Motherboard | Alienware 0D469V |
| 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% |
3436
639.1 IPS |
|
|
Image Classification (HP)
|
100% |
5199
966.9 IPS |
|
|
Image Classification (Q)
|
100% |
7038
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3712
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7767
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9836
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10390
12.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
9605
11.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
32947
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
3108
246.5 IPS |
|
|
Object Detection (HP)
|
100% |
4973
394.4 IPS |
|
|
Object Detection (Q)
|
88% |
7863
630.1 IPS |
|
|
Face Detection (SP)
|
100% |
7437
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
14398
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
22363
265.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10903
84.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
18579
143.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
20980
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25480
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36124
46.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75690
97.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4539
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8198
302.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13247
490.6 IPS |
|
|
Text Classification (SP)
|
71% |
1455
2.10 KIPS |
|
|
Text Classification (HP)
|
71% |
2180
3.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2221
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3208
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3194
55.2 IPS |