| Upload Date | November 13 2025 10:38 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASRock B860 Pro RS |
| Motherboard | ASRock B860 Pro RS |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4427
823.2 IPS |
|
|
Image Classification (HP)
|
100% |
7210
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10412
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5772
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3536
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8421
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
35253
41.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74317
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
4265
338.3 IPS |
|
|
Object Detection (HP)
|
100% |
6241
495.0 IPS |
|
|
Object Detection (Q)
|
88% |
10523
843.6 IPS |
|
|
Face Detection (SP)
|
100% |
13307
158.1 IPS |
|
|
Face Detection (HP)
|
100% |
18091
215.0 IPS |
|
|
Face Detection (Q)
|
100% |
34404
408.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11017
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19285
148.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
35664
277.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24893
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55813
71.7 IPS |
|
|
Style Transfer (Q)
|
98% |
102243
131.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5252
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16223
599.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32037
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2212
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5199
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4929
84.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4948
85.2 IPS |