User | punkouter25 |
Upload Date | August 06 2025 05:23 PM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel(R) Core(TM) Ultra 9 275HX |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG |
Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) 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% |
4223
785.3 IPS |
|
Image Classification (HP)
|
100% |
676
125.8 IPS |
|
Image Classification (Q)
|
99% |
7608
1.42 KIPS |
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
Image Segmentation (HP)
|
100% |
1232
20.0 IPS |
|
Image Segmentation (Q)
|
98% |
13411
218.1 IPS |
|
Pose Estimation (SP)
|
100% |
11003
12.8 IPS |
|
Pose Estimation (HP)
|
100% |
6212
7.25 IPS |
|
Pose Estimation (Q)
|
94% |
35475
41.6 IPS |
|
Object Detection (SP)
|
100% |
4088
324.3 IPS |
|
Object Detection (HP)
|
100% |
888
70.5 IPS |
|
Object Detection (Q)
|
86% |
9022
725.0 IPS |
|
Face Detection (SP)
|
100% |
12363
146.9 IPS |
|
Face Detection (HP)
|
100% |
1946
23.1 IPS |
|
Face Detection (Q)
|
97% |
10294
122.7 IPS |
|
Depth Estimation (SP)
|
100% |
12354
95.2 IPS |
|
Depth Estimation (HP)
|
99% |
2726
21.0 IPS |
|
Depth Estimation (Q)
|
78% |
20666
164.9 IPS |
|
Style Transfer (SP)
|
100% |
24383
31.3 IPS |
|
Style Transfer (HP)
|
100% |
15218
19.6 IPS |
|
Style Transfer (Q)
|
98% |
27711
35.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
3308
122.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
2294
84.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
5551
205.6 IPS |
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
Text Classification (HP)
|
100% |
742
989.9 IPS |
|
Text Classification (Q)
|
97% |
1254
1.68 KIPS |
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
Machine Translation (Q)
|
65% |
3049
61.3 IPS |