| User | MiSA |
| Upload Date | December 02 2025 02:02 PM |
| Views | 4 |
| 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 GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M GAMING X WIFI6E |
| Power Plan | Kiegyenslyozott |
| 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% |
4420
821.9 IPS |
|
|
Image Classification (HP)
|
100% |
7074
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10059
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5751
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8621
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34652
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
73495
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
4113
326.3 IPS |
|
|
Object Detection (HP)
|
100% |
5989
475.1 IPS |
|
|
Object Detection (Q)
|
88% |
10071
807.4 IPS |
|
|
Face Detection (SP)
|
100% |
12423
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
17300
205.6 IPS |
|
|
Face Detection (Q)
|
100% |
33174
394.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10920
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18150
139.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
33953
264.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25295
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53968
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
96651
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15794
583.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31252
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2225
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5858
100.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4684
80.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4778
82.3 IPS |