User | awkh1982 |
Upload Date | May 17 2025 11:57 AM |
Views | 7 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel(R) Core(TM) Ultra 9 275HX |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW |
Motherboard | ASUSTeK COMPUTER INC. G835LW |
Power Plan | Performance |
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 | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5029
935.3 IPS |
|
Image Classification (HP)
|
100% |
750
139.4 IPS |
|
Image Classification (Q)
|
99% |
9317
1.74 KIPS |
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
Image Segmentation (HP)
|
100% |
1426
23.1 IPS |
|
Image Segmentation (Q)
|
98% |
4108
66.8 IPS |
|
Pose Estimation (SP)
|
100% |
14881
17.4 IPS |
|
Pose Estimation (HP)
|
100% |
7191
8.39 IPS |
|
Pose Estimation (Q)
|
94% |
45798
53.7 IPS |
|
Object Detection (SP)
|
100% |
4805
381.1 IPS |
|
Object Detection (HP)
|
100% |
959
76.0 IPS |
|
Object Detection (Q)
|
86% |
11328
910.4 IPS |
|
Face Detection (SP)
|
100% |
13122
155.9 IPS |
|
Face Detection (HP)
|
100% |
2230
26.5 IPS |
|
Face Detection (Q)
|
97% |
12467
148.6 IPS |
|
Depth Estimation (SP)
|
100% |
15306
117.9 IPS |
|
Depth Estimation (HP)
|
99% |
3057
23.6 IPS |
|
Depth Estimation (Q)
|
78% |
22921
182.9 IPS |
|
Style Transfer (SP)
|
100% |
30146
38.8 IPS |
|
Style Transfer (HP)
|
100% |
17164
22.1 IPS |
|
Style Transfer (Q)
|
98% |
30970
39.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
5042
186.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
3111
114.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
6047
223.9 IPS |
|
Text Classification (SP)
|
100% |
1810
2.42 KIPS |
|
Text Classification (HP)
|
100% |
926
1.24 KIPS |
|
Text Classification (Q)
|
97% |
1632
2.19 KIPS |
|
Machine Translation (SP)
|
100% |
2955
50.9 IPS |
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
Machine Translation (Q)
|
65% |
4209
84.6 IPS |