| User | mjday99 |
| Upload Date | November 08 2025 05:12 PM |
| Views | 5 |
| 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% |
5179
963.1 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (Q)
|
99% |
8851
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16614
270.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14543
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7901
9.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
47616
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
5022
398.3 IPS |
|
|
Object Detection (HP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (Q)
|
86% |
10703
860.2 IPS |
|
|
Face Detection (SP)
|
100% |
15019
178.5 IPS |
|
|
Face Detection (HP)
|
100% |
2397
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
12866
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15038
115.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2914
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23366
186.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31657
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19360
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27220
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3561
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6834
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
1765
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1524
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2908
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3850
77.4 IPS |