| User | alexb |
| Upload Date | August 23 2025 12:58 PM |
| 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. 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% |
4701
874.2 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (Q)
|
99% |
8815
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17286
281.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10267
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6735
7.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
43275
50.7 IPS |
|
|
Object Detection (SP)
|
100% |
5203
412.7 IPS |
|
|
Object Detection (HP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (Q)
|
86% |
11384
914.9 IPS |
|
|
Face Detection (SP)
|
100% |
14686
174.5 IPS |
|
|
Face Detection (HP)
|
100% |
2238
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
12702
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14009
107.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2750
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16653
132.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27191
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17199
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28636
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2531
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4876
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
1723
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3414
68.6 IPS |