| Upload Date | January 13 2026 03:58 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth 18 HX AI A2XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-1833 |
| 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% |
4490
835.0 IPS |
|
|
Image Classification (HP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (Q)
|
99% |
8675
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14088
229.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12095
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6887
8.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
39307
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
4293
340.5 IPS |
|
|
Object Detection (HP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (Q)
|
86% |
9246
743.1 IPS |
|
|
Face Detection (SP)
|
100% |
13452
159.8 IPS |
|
|
Face Detection (HP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
11878
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13067
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3055
23.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
21596
172.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26031
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17410
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28622
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4321
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6407
237.3 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3500
70.3 IPS |