| Upload Date | November 10 2025 03:01 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2675
497.4 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (Q)
|
100% |
7091
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7497
121.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4721
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3033
3.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
19332
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (HP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (Q)
|
88% |
7577
607.4 IPS |
|
|
Face Detection (SP)
|
100% |
7122
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
5273
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
19141
227.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6355
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4552
35.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
17087
132.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14050
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9101
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51625
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2864
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10549
390.7 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
4618
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3313
57.1 IPS |