| User | alexb |
| Upload Date | August 23 2025 04:50 PM |
| Views | 6 |
| 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-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% |
5960
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6750
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
10722
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8207
133.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4752
77.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13577
220.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14606
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14116
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32284
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
5595
443.8 IPS |
|
|
Object Detection (HP)
|
100% |
7228
573.3 IPS |
|
|
Object Detection (Q)
|
88% |
11552
926.1 IPS |
|
|
Face Detection (SP)
|
100% |
16067
190.9 IPS |
|
|
Face Detection (HP)
|
100% |
19757
234.8 IPS |
|
|
Face Detection (Q)
|
100% |
31876
378.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14526
111.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17110
131.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
32717
254.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42470
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41340
53.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91475
118.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8764
323.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9184
339.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17309
641.0 IPS |
|
|
Text Classification (SP)
|
100% |
4375
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6146
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7352
126.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3811
65.6 IPS |