| User | Warblood |
| Upload Date | December 06 2025 08:12 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% |
4554
847.0 IPS |
|
|
Image Classification (HP)
|
100% |
7545
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10756
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5918
95.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8889
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35011
40.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75635
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
4345
344.7 IPS |
|
|
Object Detection (HP)
|
100% |
6363
504.7 IPS |
|
|
Object Detection (Q)
|
87% |
10665
855.9 IPS |
|
|
Face Detection (SP)
|
100% |
13672
162.5 IPS |
|
|
Face Detection (HP)
|
100% |
18687
222.0 IPS |
|
|
Face Detection (Q)
|
100% |
35695
424.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11425
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19371
149.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
37037
288.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26388
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56882
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
103374
133.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5484
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14903
550.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25438
942.1 IPS |
|
|
Text Classification (SP)
|
100% |
4282
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
2446
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5872
101.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4735
81.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4827
83.1 IPS |