| User | mjday99 |
| Upload Date | November 07 2025 10:37 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware 18 Area-51 AA18250 |
| Motherboard | Alienware 05NYR3 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5469
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
832
154.6 IPS |
|
|
Image Classification (Q)
|
99% |
9682
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16393
266.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13539
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
44735
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
5242
415.8 IPS |
|
|
Object Detection (HP)
|
100% |
1125
89.3 IPS |
|
|
Object Detection (Q)
|
86% |
11499
924.2 IPS |
|
|
Face Detection (SP)
|
100% |
15500
184.2 IPS |
|
|
Face Detection (HP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
13534
161.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15459
119.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3378
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
25118
200.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30681
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19901
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31161
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3560
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5475
202.7 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1486
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1408
24.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4019
80.8 IPS |