| User | Koushik03 |
| Upload Date | December 08 2025 03:51 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4931
916.9 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
99% |
9791
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3064
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16882
274.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14504
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7876
9.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
45871
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
4920
390.2 IPS |
|
|
Object Detection (HP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (Q)
|
86% |
10891
875.3 IPS |
|
|
Face Detection (SP)
|
100% |
15382
182.8 IPS |
|
|
Face Detection (HP)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
12718
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15304
117.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3418
26.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
23225
185.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30941
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18899
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32170
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6809
252.1 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3495
70.2 IPS |