| Upload Date | November 04 2025 09:01 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5907
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6674
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10718
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8336
135.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4625
75.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13085
212.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14090
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13009
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30623
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
3870
307.0 IPS |
|
|
Object Detection (HP)
|
100% |
6164
488.9 IPS |
|
|
Object Detection (Q)
|
88% |
11643
933.3 IPS |
|
|
Face Detection (SP)
|
100% |
16463
195.6 IPS |
|
|
Face Detection (HP)
|
100% |
19824
235.6 IPS |
|
|
Face Detection (Q)
|
100% |
29013
344.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14626
112.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16409
126.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29539
229.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33393
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24472
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88954
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8478
313.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8221
303.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16103
596.4 IPS |
|
|
Text Classification (SP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5880
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7023
121.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3747
64.5 IPS |