| User | alexb |
| Upload Date | August 23 2025 01:09 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2839
527.9 IPS |
|
|
Image Classification (HP)
|
100% |
3953
735.2 IPS |
|
|
Image Classification (Q)
|
99% |
2076
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3309
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5561
90.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2284
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9800
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16580
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8605
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2859
226.8 IPS |
|
|
Object Detection (HP)
|
100% |
4372
346.8 IPS |
|
|
Object Detection (Q)
|
86% |
2160
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
5913
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
9816
116.6 IPS |
|
|
Face Detection (Q)
|
97% |
3942
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10181
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16087
124.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7386
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26284
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
42081
54.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20614
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7459
275.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3389
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
1183
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
714
956.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2680
46.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1040
19.5 IPS |