| User | alexb |
| Upload Date | August 21 2025 06:24 AM |
| Views | 4 |
| 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 STRIX Z890-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5745
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
725
134.9 IPS |
|
|
Image Classification (Q)
|
99% |
10386
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17899
291.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15863
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8529
9.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
51803
60.7 IPS |
|
|
Object Detection (SP)
|
100% |
5598
444.1 IPS |
|
|
Object Detection (HP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (Q)
|
86% |
12426
998.7 IPS |
|
|
Face Detection (SP)
|
100% |
17140
203.7 IPS |
|
|
Face Detection (HP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
14502
172.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17540
135.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3827
29.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
26645
212.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35666
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21143
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35218
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5890
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7749
286.9 IPS |
|
|
Text Classification (SP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1589
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4412
88.7 IPS |