| Upload Date | November 17 2025 02:40 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 | ASRock Z890 Pro RS WiFi White |
| Motherboard | ASRock Z890 Pro RS WiFi White |
| Power Plan | Hchstleistung |
| 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% |
6205
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
7080
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9824
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8761
142.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15308
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34378
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73981
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
6108
484.5 IPS |
|
|
Object Detection (HP)
|
100% |
6267
497.1 IPS |
|
|
Object Detection (Q)
|
87% |
10216
819.9 IPS |
|
|
Face Detection (SP)
|
100% |
17215
204.6 IPS |
|
|
Face Detection (HP)
|
100% |
17528
208.3 IPS |
|
|
Face Detection (Q)
|
100% |
32462
385.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15359
118.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18358
141.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34642
269.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43152
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51520
66.2 IPS |
|
|
Style Transfer (Q)
|
98% |
94567
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9244
341.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14300
528.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24046
890.5 IPS |
|
|
Text Classification (SP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2237
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4580
78.9 IPS |