| Upload Date | November 13 2025 05:36 PM |
| Views | 1 |
| 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. TUF GAMING Z890-PLUS 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3598
669.1 IPS |
|
|
Image Classification (HP)
|
100% |
3967
737.8 IPS |
|
|
Image Classification (Q)
|
100% |
7764
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5930
96.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8284
134.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11699
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9777
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
23636
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3444
273.2 IPS |
|
|
Object Detection (HP)
|
100% |
3873
307.2 IPS |
|
|
Object Detection (Q)
|
88% |
7617
610.6 IPS |
|
|
Face Detection (SP)
|
100% |
10212
121.3 IPS |
|
|
Face Detection (HP)
|
100% |
11743
139.5 IPS |
|
|
Face Detection (Q)
|
100% |
19384
230.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11343
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10858
83.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
19557
152.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34856
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27507
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
63623
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5562
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5354
197.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11538
427.3 IPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2476
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
4995
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4916
84.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2575
44.4 IPS |