| User | RicardoQueirosG |
| Upload Date | November 12 2025 07:03 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
5992
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
949
176.5 IPS |
|
|
Image Classification (Q)
|
99% |
10406
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18306
297.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17514
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8880
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
53647
62.9 IPS |
|
|
Object Detection (SP)
|
100% |
5724
454.0 IPS |
|
|
Object Detection (HP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (Q)
|
86% |
12689
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
17729
210.7 IPS |
|
|
Face Detection (HP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
14646
174.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16874
130.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3824
29.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
25228
201.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37957
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21933
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36427
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5897
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3795
140.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7827
289.8 IPS |
|
|
Text Classification (SP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4519
90.8 IPS |