| User | BrickOfReality |
| Upload Date | November 03 2025 12:47 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Taichi |
| Motherboard | ASRock Z890 Taichi |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5420
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
7164
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9834
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7193
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2979
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3986
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13834
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34972
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75969
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
4987
395.6 IPS |
|
|
Object Detection (HP)
|
100% |
6328
501.9 IPS |
|
|
Object Detection (Q)
|
87% |
10190
817.8 IPS |
|
|
Face Detection (SP)
|
100% |
15420
183.2 IPS |
|
|
Face Detection (HP)
|
100% |
17927
213.0 IPS |
|
|
Face Detection (Q)
|
100% |
32937
391.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13908
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19927
153.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
36111
281.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39887
51.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55117
70.9 IPS |
|
|
Style Transfer (Q)
|
98% |
101504
130.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7860
290.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14631
540.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24424
904.5 IPS |
|
|
Text Classification (SP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
2165
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4777
82.3 IPS |