| User | LOGTI |
| Upload Date | April 10 2025 08:38 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 EXTREME |
| Power Plan | Desempenho Mximo |
| 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 | 3.69 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5413
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
8905
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
12430
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7377
119.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3569
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4816
78.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14402
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
41549
48.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
91121
106.7 IPS |
|
|
Object Detection (SP)
|
100% |
5114
405.6 IPS |
|
|
Object Detection (HP)
|
100% |
7584
601.5 IPS |
|
|
Object Detection (Q)
|
87% |
12607
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
15458
183.7 IPS |
|
|
Face Detection (HP)
|
100% |
20521
243.8 IPS |
|
|
Face Detection (Q)
|
100% |
34775
413.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14251
109.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22596
174.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
41773
325.0 IPS |
|
|
Style Transfer (SP)
|
100% |
40610
52.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63670
81.8 IPS |
|
|
Style Transfer (Q)
|
98% |
117221
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8209
303.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17594
649.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32371
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2790
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5643
97.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5702
98.2 IPS |