| User | alexb |
| Upload Date | July 06 2025 05:53 AM |
| Views | 8 |
| 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% |
6225
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
7129
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10496
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8490
137.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4691
76.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13428
217.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14918
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14881
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
31501
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
6204
492.1 IPS |
|
|
Object Detection (HP)
|
100% |
7378
585.2 IPS |
|
|
Object Detection (Q)
|
88% |
11536
924.7 IPS |
|
|
Face Detection (SP)
|
100% |
17084
203.0 IPS |
|
|
Face Detection (HP)
|
100% |
21214
252.1 IPS |
|
|
Face Detection (Q)
|
100% |
30674
364.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15042
115.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18428
142.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
31894
248.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42045
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41322
53.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90919
117.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8928
329.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9405
347.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17215
637.5 IPS |
|
|
Text Classification (SP)
|
100% |
4482
5.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
6301
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7965
137.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3980
68.6 IPS |