| User | gethen |
| Upload Date | January 15 2026 06:52 AM |
| Views | 6 |
| 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. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Power Plan | High performance |
| 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% |
4234
787.4 IPS |
|
|
Image Classification (HP)
|
100% |
6993
1.30 KIPS |
|
|
Image Classification (Q)
|
56% |
6367
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5412
87.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2989
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4006
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8081
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
34706
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
75995
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
3816
302.7 IPS |
|
|
Object Detection (HP)
|
100% |
5989
475.1 IPS |
|
|
Object Detection (Q)
|
87% |
10142
814.0 IPS |
|
|
Face Detection (SP)
|
100% |
11536
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
17731
210.7 IPS |
|
|
Face Detection (Q)
|
100% |
30206
358.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10035
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19918
153.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
36783
286.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23569
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55154
70.9 IPS |
|
|
Style Transfer (Q)
|
98% |
101549
130.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14482
534.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26299
973.9 IPS |
|
|
Text Classification (SP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1954
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4481
77.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4509
77.7 IPS |