| User | alexb |
| Upload Date | August 23 2025 04:31 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% |
5317
988.8 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.7 IPS |
|
|
Image Classification (Q)
|
99% |
10469
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3117
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17361
282.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16212
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8457
9.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
50791
59.6 IPS |
|
|
Object Detection (SP)
|
100% |
4919
390.2 IPS |
|
|
Object Detection (HP)
|
100% |
1178
93.4 IPS |
|
|
Object Detection (Q)
|
86% |
9629
773.9 IPS |
|
|
Face Detection (SP)
|
100% |
15748
187.1 IPS |
|
|
Face Detection (HP)
|
100% |
2108
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
14171
169.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15828
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3647
28.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
24343
194.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35034
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20915
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26339
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3302
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2424
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6958
257.7 IPS |
|
|
Text Classification (SP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1696
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4455
89.5 IPS |