User | Qiguanjiachen |
Upload Date | June 11 2025 04:35 AM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | NPU |
Device | Intel(R) AI Boost |
System Information | |
---|---|
Operating System | Microsoft Windows 11 (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 7 265K |
Topology | 1 Processor, 20 Cores |
Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
Base Frequency | 3.90 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 12 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3701
688.3 IPS |
|
Image Classification (HP)
|
100% |
7035
1.31 KIPS |
|
Image Classification (Q)
|
100% |
9455
1.76 KIPS |
|
Image Segmentation (SP)
|
100% |
3787
61.4 IPS |
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
Image Segmentation (Q)
|
99% |
3576
58.0 IPS |
|
Pose Estimation (SP)
|
100% |
6459
7.54 IPS |
|
Pose Estimation (HP)
|
100% |
35121
41.0 IPS |
|
Pose Estimation (Q)
|
96% |
75937
89.0 IPS |
|
Object Detection (SP)
|
100% |
2886
228.9 IPS |
|
Object Detection (HP)
|
100% |
5954
472.3 IPS |
|
Object Detection (Q)
|
87% |
9837
789.5 IPS |
|
Face Detection (SP)
|
100% |
8211
97.6 IPS |
|
Face Detection (HP)
|
100% |
17566
208.7 IPS |
|
Face Detection (Q)
|
100% |
33002
392.1 IPS |
|
Depth Estimation (SP)
|
100% |
7521
57.9 IPS |
|
Depth Estimation (HP)
|
99% |
17687
136.3 IPS |
|
Depth Estimation (Q)
|
88% |
32810
255.3 IPS |
|
Style Transfer (SP)
|
100% |
18448
23.7 IPS |
|
Style Transfer (HP)
|
100% |
51624
66.4 IPS |
|
Style Transfer (Q)
|
98% |
94949
122.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
3846
142.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
14254
526.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
23708
878.0 IPS |
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
Text Classification (HP)
|
100% |
1963
2.62 KIPS |
|
Text Classification (Q)
|
92% |
1997
2.68 KIPS |
|
Machine Translation (SP)
|
100% |
3865
66.6 IPS |
|
Machine Translation (HP)
|
100% |
4309
74.2 IPS |
|
Machine Translation (Q)
|
100% |
4452
76.7 IPS |