| User | flukexshadow |
| Upload Date | July 14 2025 09:44 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3726
692.9 IPS |
|
|
Image Classification (HP)
|
100% |
6994
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9533
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3977
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7220
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
34917
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75848
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
3457
274.2 IPS |
|
|
Object Detection (HP)
|
100% |
6227
493.9 IPS |
|
|
Object Detection (Q)
|
87% |
10003
802.8 IPS |
|
|
Face Detection (SP)
|
100% |
10326
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
17867
212.3 IPS |
|
|
Face Detection (Q)
|
100% |
32912
391.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9135
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19857
153.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
36762
286.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22052
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54589
70.2 IPS |
|
|
Style Transfer (Q)
|
98% |
100904
130.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4601
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14360
530.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23971
887.7 IPS |
|
|
Text Classification (SP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2111
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4753
81.9 IPS |