| User | alexb |
| Upload Date | August 21 2025 03:30 PM |
| Views | 7 |
| 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% |
5712
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
99% |
10905
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2995
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18256
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16430
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8781
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
51288
60.1 IPS |
|
|
Object Detection (SP)
|
100% |
5280
418.8 IPS |
|
|
Object Detection (HP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (Q)
|
86% |
12617
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
17326
205.9 IPS |
|
|
Face Detection (HP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
14562
173.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17260
133.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3816
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
27546
219.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36042
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21848
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37238
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5843
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7831
290.0 IPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1600
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4575
91.9 IPS |