| User | Warblood |
| Upload Date | December 06 2025 08:28 PM |
| Views | 2 |
| 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% |
4474
832.0 IPS |
|
|
Image Classification (HP)
|
100% |
7591
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
10604
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6133
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34280
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73520
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
4541
360.2 IPS |
|
|
Object Detection (HP)
|
100% |
6248
495.6 IPS |
|
|
Object Detection (Q)
|
87% |
10397
834.4 IPS |
|
|
Face Detection (SP)
|
100% |
13629
161.9 IPS |
|
|
Face Detection (HP)
|
100% |
18183
216.1 IPS |
|
|
Face Detection (Q)
|
100% |
35516
422.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11531
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19078
147.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
36306
282.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26849
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
55494
71.3 IPS |
|
|
Style Transfer (Q)
|
98% |
100796
130.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5606
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14740
544.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25533
945.6 IPS |
|
|
Text Classification (SP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
92% |
2427
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5788
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4706
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4716
81.2 IPS |