| User | Warblood |
| Upload Date | November 17 2025 05:24 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
4709
875.7 IPS |
|
|
Image Classification (HP)
|
100% |
7623
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
10895
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6167
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8744
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35531
41.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
77232
90.5 IPS |
|
|
Object Detection (SP)
|
100% |
4575
362.9 IPS |
|
|
Object Detection (HP)
|
100% |
6425
509.6 IPS |
|
|
Object Detection (Q)
|
87% |
10716
860.1 IPS |
|
|
Face Detection (SP)
|
100% |
13693
162.7 IPS |
|
|
Face Detection (HP)
|
100% |
18651
221.6 IPS |
|
|
Face Detection (Q)
|
100% |
35927
426.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11376
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19984
154.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
37351
290.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26399
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
57699
74.2 IPS |
|
|
Style Transfer (Q)
|
98% |
105720
136.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15143
559.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25545
946.0 IPS |
|
|
Text Classification (SP)
|
100% |
4348
5.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
2463
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5889
101.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4899
84.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4929
84.9 IPS |