| User | tobyg |
| Upload Date | February 04 2026 08:35 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2694
501.0 IPS |
|
|
Image Classification (HP)
|
100% |
3782
703.2 IPS |
|
|
Image Classification (Q)
|
99% |
2008
374.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3422
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5421
87.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8641
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13512
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
7651
8.96 IPS |
|
|
Object Detection (SP)
|
100% |
2973
235.8 IPS |
|
|
Object Detection (HP)
|
100% |
4370
346.7 IPS |
|
|
Object Detection (Q)
|
86% |
2141
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
9345
111.0 IPS |
|
|
Face Detection (Q)
|
97% |
3923
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9904
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15206
117.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7046
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26308
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40294
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20554
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4616
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3207
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
660
884.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2655
45.9 IPS |
|
|
Machine Translation (Q)
|
70% |
998
18.7 IPS |