| User | RicardoQueirosG |
| Upload Date | November 12 2025 06:47 PM |
| Views | 5 |
| 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 MAXIMUS Z890 HERO |
| 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% |
6103
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (Q)
|
99% |
10267
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17863
290.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16880
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8822
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
54490
63.9 IPS |
|
|
Object Detection (SP)
|
100% |
5734
454.8 IPS |
|
|
Object Detection (HP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (Q)
|
86% |
12799
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
16581
197.0 IPS |
|
|
Face Detection (HP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
14515
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14128
108.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2526
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
21153
168.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27325
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22272
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27630
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5910
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7776
287.9 IPS |
|
|
Text Classification (SP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1665
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4579
92.0 IPS |