| User | alexb |
| Upload Date | August 23 2025 01:18 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4026
748.8 IPS |
|
|
Image Classification (HP)
|
100% |
6060
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8147
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4235
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9144
148.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11895
192.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12100
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11224
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
37921
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
3780
299.8 IPS |
|
|
Object Detection (HP)
|
100% |
6072
481.6 IPS |
|
|
Object Detection (Q)
|
88% |
9465
758.5 IPS |
|
|
Face Detection (SP)
|
100% |
8666
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
16008
190.2 IPS |
|
|
Face Detection (Q)
|
100% |
25302
300.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12744
98.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
22343
172.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26265
204.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29869
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42263
54.3 IPS |
|
|
Style Transfer (Q)
|
98% |
88084
113.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9541
352.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15411
570.7 IPS |
|
|
Text Classification (SP)
|
71% |
1653
2.39 KIPS |
|
|
Text Classification (HP)
|
71% |
2577
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2678
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3850
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3841
66.4 IPS |