| User | Xtra987 |
| Upload Date | November 29 2025 03:49 PM |
| Views | 12 |
| 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. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4321
803.6 IPS |
|
|
Image Classification (HP)
|
100% |
6917
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9785
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5799
94.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8483
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
33446
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73525
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
4192
332.5 IPS |
|
|
Object Detection (HP)
|
100% |
6128
486.1 IPS |
|
|
Object Detection (Q)
|
88% |
10183
816.4 IPS |
|
|
Face Detection (SP)
|
100% |
13114
155.8 IPS |
|
|
Face Detection (HP)
|
100% |
17484
207.7 IPS |
|
|
Face Detection (Q)
|
100% |
31603
375.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10326
79.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19283
148.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34610
269.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24690
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
56058
72.1 IPS |
|
|
Style Transfer (Q)
|
98% |
99271
128.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15754
581.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30748
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2099
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2098
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5225
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4390
75.6 IPS |