| User | RicardoQueirosG |
| Upload Date | November 12 2025 07:06 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 MAXIMUS Z890 HERO |
| 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% |
6274
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
7267
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10324
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8493
137.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15647
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34393
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
76035
89.1 IPS |
|
|
Object Detection (SP)
|
100% |
6488
514.6 IPS |
|
|
Object Detection (HP)
|
100% |
6349
503.6 IPS |
|
|
Object Detection (Q)
|
88% |
10720
859.5 IPS |
|
|
Face Detection (SP)
|
100% |
17419
207.0 IPS |
|
|
Face Detection (HP)
|
100% |
19192
228.0 IPS |
|
|
Face Detection (Q)
|
100% |
35026
416.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15844
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19698
151.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
36845
286.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44210
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
57471
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
103458
133.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9361
345.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16394
605.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32269
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4452
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2376
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5016
86.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5093
87.7 IPS |