| User | alexb |
| Upload Date | August 14 2025 12:33 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
6167
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6253
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
9683
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8656
140.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3546
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15102
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34831
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74206
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
6245
495.4 IPS |
|
|
Object Detection (HP)
|
100% |
6071
481.6 IPS |
|
|
Object Detection (Q)
|
88% |
10248
821.6 IPS |
|
|
Face Detection (SP)
|
100% |
17024
202.3 IPS |
|
|
Face Detection (HP)
|
100% |
16774
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
31314
372.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15400
118.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18757
144.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
35446
275.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42934
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54676
70.3 IPS |
|
|
Style Transfer (Q)
|
98% |
98169
126.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8862
327.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15934
588.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31021
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4510
6.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
1833
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4145
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4231
72.9 IPS |