| User | Ventangelo |
| Upload Date | December 27 2025 03:20 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860 Steel Legend WiFi |
| Motherboard | ASRock B860 Steel Legend WiFi |
| 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% |
3079
572.6 IPS |
|
|
Image Classification (HP)
|
100% |
2859
531.8 IPS |
|
|
Image Classification (Q)
|
100% |
10043
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4561
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11104
180.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6714
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4825
5.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
24883
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
3187
252.8 IPS |
|
|
Object Detection (HP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (Q)
|
88% |
9024
723.4 IPS |
|
|
Face Detection (SP)
|
100% |
6788
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
5717
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
16746
199.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4922
37.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
20830
162.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20541
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13589
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
71654
92.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4234
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3512
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16563
613.4 IPS |
|
|
Text Classification (SP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (Q)
|
92% |
5791
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4912
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4921
84.8 IPS |