| Upload Date | November 26 2025 11:16 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5810
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
7308
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10281
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8419
136.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3605
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14040
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35418
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75955
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
5808
460.7 IPS |
|
|
Object Detection (HP)
|
100% |
6281
498.2 IPS |
|
|
Object Detection (Q)
|
88% |
10721
859.5 IPS |
|
|
Face Detection (SP)
|
100% |
16931
201.2 IPS |
|
|
Face Detection (HP)
|
100% |
18480
219.6 IPS |
|
|
Face Detection (Q)
|
100% |
35415
420.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15258
117.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19488
150.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
35666
277.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41218
53.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56368
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
102571
132.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8039
296.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16145
596.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32308
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4146
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2354
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4150
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5042
86.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5054
87.1 IPS |