| User | MiSA |
| Upload Date | December 01 2025 06:56 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 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4398
817.8 IPS |
|
|
Image Classification (HP)
|
100% |
7056
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9965
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5667
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3491
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8456
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
34796
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72674
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
4144
328.7 IPS |
|
|
Object Detection (HP)
|
100% |
5993
475.4 IPS |
|
|
Object Detection (Q)
|
88% |
10043
805.2 IPS |
|
|
Face Detection (SP)
|
100% |
11666
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
17045
202.5 IPS |
|
|
Face Detection (Q)
|
100% |
33468
397.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10695
82.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17104
131.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
32348
251.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25563
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50273
64.6 IPS |
|
|
Style Transfer (Q)
|
98% |
92703
119.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5339
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15830
584.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31476
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5310
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4618
79.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4700
81.0 IPS |