| User | alexb |
| Upload Date | August 21 2025 06:19 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% |
5651
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (Q)
|
99% |
10377
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3026
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17974
292.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14355
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7638
8.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
53899
63.2 IPS |
|
|
Object Detection (SP)
|
100% |
5418
429.7 IPS |
|
|
Object Detection (HP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (Q)
|
86% |
12476
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
15913
189.1 IPS |
|
|
Face Detection (HP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
14361
171.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16592
127.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3535
27.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
25601
204.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34417
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19583
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36168
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5017
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7735
286.4 IPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1623
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4387
88.1 IPS |