| User | Americanrust |
| Upload Date | October 02 2025 09:04 AM |
| Views | 6 |
| 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. ProArt Z890-CREATOR 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6100
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
944
175.6 IPS |
|
|
Image Classification (Q)
|
99% |
11304
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2714
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17817
289.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17282
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8772
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
54012
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
5769
457.6 IPS |
|
|
Object Detection (HP)
|
100% |
1274
101.1 IPS |
|
|
Object Detection (Q)
|
86% |
12942
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
16979
201.7 IPS |
|
|
Face Detection (HP)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
14824
176.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18032
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3822
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25503
203.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37927
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22185
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27025
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3958
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7979
295.5 IPS |
|
|
Text Classification (SP)
|
100% |
1929
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4576
92.0 IPS |