| User | ERIK4455 |
| Upload Date | November 13 2025 11:31 PM |
| Views | 2 |
| 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-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5484
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
7643
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
10694
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7836
127.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3451
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13415
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34397
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
76061
89.1 IPS |
|
|
Object Detection (SP)
|
100% |
5232
415.0 IPS |
|
|
Object Detection (HP)
|
100% |
6320
501.3 IPS |
|
|
Object Detection (Q)
|
88% |
10875
871.8 IPS |
|
|
Face Detection (SP)
|
100% |
15402
183.0 IPS |
|
|
Face Detection (HP)
|
100% |
19287
229.2 IPS |
|
|
Face Detection (Q)
|
100% |
35186
418.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14421
111.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19136
147.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
35495
276.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40333
51.8 IPS |
|
|
Style Transfer (HP)
|
100% |
55820
71.8 IPS |
|
|
Style Transfer (Q)
|
98% |
101177
130.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8156
301.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16754
618.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33064
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2381
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5199
89.6 IPS |