| User | dolpa_me |
| Upload Date | March 06 2026 09:00 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.76 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
1481
275.3 IPS |
|
|
Image Classification (Q)
|
100% |
5141
956.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5615
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4418
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
15186
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (Q)
|
88% |
6074
486.9 IPS |
|
|
Face Detection (SP)
|
100% |
5787
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
4683
55.6 IPS |
|
|
Face Detection (Q)
|
100% |
12405
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5246
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4015
30.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14835
115.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13035
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7678
9.87 IPS |
|
|
Style Transfer (Q)
|
98% |
39340
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2265
83.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8429
312.2 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5020
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2982
51.4 IPS |