| User | Warblood |
| Upload Date | November 26 2025 01:17 PM |
| 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% |
4521
840.7 IPS |
|
|
Image Classification (HP)
|
100% |
7606
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
10837
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5961
96.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3597
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8753
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35299
41.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
76748
89.9 IPS |
|
|
Object Detection (SP)
|
100% |
4412
350.0 IPS |
|
|
Object Detection (HP)
|
100% |
6417
509.0 IPS |
|
|
Object Detection (Q)
|
87% |
10662
855.7 IPS |
|
|
Face Detection (SP)
|
100% |
13453
159.8 IPS |
|
|
Face Detection (HP)
|
100% |
18592
220.9 IPS |
|
|
Face Detection (Q)
|
100% |
35581
422.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11234
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19907
153.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
37187
289.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25968
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57360
73.7 IPS |
|
|
Style Transfer (Q)
|
98% |
105051
135.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5512
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15074
556.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25437
942.0 IPS |
|
|
Text Classification (SP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
2448
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5620
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4808
82.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4856
83.7 IPS |