| User | svswe |
| Upload Date | December 10 2025 09:01 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| Power Plan | Balanserat |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4065
756.0 IPS |
|
|
Image Classification (HP)
|
100% |
7035
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9743
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5357
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3974
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8179
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
34267
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74379
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
3754
297.8 IPS |
|
|
Object Detection (HP)
|
100% |
5975
473.9 IPS |
|
|
Object Detection (Q)
|
87% |
9832
789.1 IPS |
|
|
Face Detection (SP)
|
100% |
12122
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
16482
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
28688
340.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9815
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18065
139.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
33250
258.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24385
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50493
64.9 IPS |
|
|
Style Transfer (Q)
|
98% |
94941
122.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14340
529.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26305
974.2 IPS |
|
|
Text Classification (SP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2196
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4324
74.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4432
76.3 IPS |