| User | gethen |
| Upload Date | December 10 2025 12:19 PM |
| Views | 14 |
| 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. B860I AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B860I AORUS PRO ICE |
| Power Plan | Balanced |
| 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% |
4159
773.4 IPS |
|
|
Image Classification (HP)
|
100% |
7208
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10151
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5510
89.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8133
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
34330
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75869
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
3895
309.0 IPS |
|
|
Object Detection (HP)
|
100% |
6260
496.6 IPS |
|
|
Object Detection (Q)
|
88% |
10537
844.8 IPS |
|
|
Face Detection (SP)
|
100% |
11419
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
18963
225.3 IPS |
|
|
Face Detection (Q)
|
100% |
34164
405.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9631
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19629
151.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36705
285.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23477
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56758
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
103016
132.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16336
603.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31565
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2203
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4766
82.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4865
83.8 IPS |