| Upload Date | November 08 2025 07:51 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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-E GAMING WIFI |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5221
970.9 IPS |
|
|
Image Classification (HP)
|
100% |
5392
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
10612
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7565
122.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4148
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12194
197.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13826
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12023
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
28370
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
5179
410.8 IPS |
|
|
Object Detection (HP)
|
100% |
5795
459.7 IPS |
|
|
Object Detection (Q)
|
88% |
11712
938.9 IPS |
|
|
Face Detection (SP)
|
100% |
15051
178.8 IPS |
|
|
Face Detection (HP)
|
100% |
17238
204.8 IPS |
|
|
Face Detection (Q)
|
100% |
29290
348.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14366
110.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14479
111.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
28555
222.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38721
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33798
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82633
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7730
285.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7502
277.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16716
619.1 IPS |
|
|
Text Classification (SP)
|
100% |
4052
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6132
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6484
111.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3729
64.2 IPS |