| User | softmac |
| Upload Date | November 06 2025 10:06 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Alienware Alienware 16X Aurora AC16251 |
| Motherboard | Alienware 0P9T4R |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5131
954.2 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
99% |
8909
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2666
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16151
262.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13258
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
39767
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
4744
376.3 IPS |
|
|
Object Detection (HP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (Q)
|
86% |
10544
847.4 IPS |
|
|
Face Detection (SP)
|
100% |
14686
174.5 IPS |
|
|
Face Detection (HP)
|
100% |
2335
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
12381
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14520
111.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3058
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
23586
188.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27832
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16050
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23974
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4760
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5419
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1420
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3709
74.5 IPS |