| User | alexb |
| Upload Date | August 23 2025 04:38 PM |
| Views | 7 |
| 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% |
3976
739.4 IPS |
|
|
Image Classification (HP)
|
100% |
5995
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7934
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3683
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8853
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11613
188.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12071
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11325
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38013
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
3592
284.9 IPS |
|
|
Object Detection (HP)
|
100% |
5733
454.7 IPS |
|
|
Object Detection (Q)
|
88% |
9327
747.5 IPS |
|
|
Face Detection (SP)
|
100% |
7370
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
15591
185.3 IPS |
|
|
Face Detection (Q)
|
100% |
24805
294.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12654
97.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
21795
168.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
26283
204.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29783
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41112
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
90126
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5230
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9476
349.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15260
565.1 IPS |
|
|
Text Classification (SP)
|
71% |
1582
2.29 KIPS |
|
|
Text Classification (HP)
|
71% |
2476
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
2531
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3669
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3651
63.1 IPS |