| User | Xtra987 |
| Upload Date | November 29 2025 03:52 PM |
| Views | 8 |
| 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. B860M AORUS ELITE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3158
587.2 IPS |
|
|
Image Classification (HP)
|
100% |
6105
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8353
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4144
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
33613
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
73505
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
3024
239.9 IPS |
|
|
Object Detection (HP)
|
100% |
5726
454.2 IPS |
|
|
Object Detection (Q)
|
88% |
9334
748.3 IPS |
|
|
Face Detection (SP)
|
100% |
8896
105.7 IPS |
|
|
Face Detection (HP)
|
100% |
15338
182.2 IPS |
|
|
Face Detection (Q)
|
100% |
27730
329.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18640
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34877
271.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17606
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54875
70.5 IPS |
|
|
Style Transfer (Q)
|
98% |
99486
128.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15699
579.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30914
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1858
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4437
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4459
76.8 IPS |