| User | Warblood |
| Upload Date | November 28 2025 03:00 AM |
| Views | 7 |
| 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% |
4528
842.0 IPS |
|
|
Image Classification (HP)
|
100% |
7514
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10846
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5965
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3573
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8546
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
35213
41.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
76164
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
4177
331.3 IPS |
|
|
Object Detection (HP)
|
100% |
6417
509.0 IPS |
|
|
Object Detection (Q)
|
87% |
10689
857.9 IPS |
|
|
Face Detection (SP)
|
100% |
13405
159.3 IPS |
|
|
Face Detection (HP)
|
100% |
18444
219.2 IPS |
|
|
Face Detection (Q)
|
100% |
35628
423.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11146
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19655
151.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
37389
290.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25145
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
56939
73.2 IPS |
|
|
Style Transfer (Q)
|
98% |
103129
133.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5252
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15070
556.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25559
946.6 IPS |
|
|
Text Classification (SP)
|
100% |
4228
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
2457
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5548
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4929
84.9 IPS |