| Upload Date | December 17 2025 04:18 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Pro RS WiFi White |
| Motherboard | ASRock Z890 Pro RS WiFi White |
| Power Plan | Hchstleistung |
| 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% |
4172
775.8 IPS |
|
|
Image Classification (HP)
|
100% |
6349
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8368
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4331
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9585
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12266
198.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12226
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11553
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
38637
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
3859
306.1 IPS |
|
|
Object Detection (HP)
|
100% |
6251
495.9 IPS |
|
|
Object Detection (Q)
|
88% |
9773
783.2 IPS |
|
|
Face Detection (SP)
|
100% |
9015
107.1 IPS |
|
|
Face Detection (HP)
|
100% |
17750
210.9 IPS |
|
|
Face Detection (Q)
|
100% |
27043
321.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13243
102.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
23319
180.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26888
209.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30442
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43332
55.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91184
117.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5421
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9772
360.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15843
586.7 IPS |
|
|
Text Classification (SP)
|
71% |
1695
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
2604
3.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2692
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3907
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3912
67.6 IPS |