| User | Koushik03 |
| Upload Date | December 08 2025 04:16 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| 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% |
12822
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
19044
3.54 KIPS |
|
|
Image Classification (Q)
|
100% |
11211
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24281
393.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
33939
550.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22122
359.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
211081
246.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
627854
732.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
180939
211.9 IPS |
|
|
Object Detection (SP)
|
100% |
16462
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
23991
1.90 KIPS |
|
|
Object Detection (Q)
|
86% |
14429
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
47376
562.9 IPS |
|
|
Face Detection (HP)
|
100% |
67817
805.8 IPS |
|
|
Face Detection (Q)
|
97% |
40071
477.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
82236
633.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
155382
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62405
498.3 IPS |
|
|
Style Transfer (SP)
|
100% |
300290
386.0 IPS |
|
|
Style Transfer (HP)
|
100% |
969030
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
267404
344.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46295
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77555
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36327
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2225
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6388
110.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6368
109.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2924
54.8 IPS |