| User | phm |
| Upload Date | July 07 2025 02:40 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Pro RS |
| Motherboard | ASRock Z890 Pro RS |
| Power Plan | High performance |
| 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% |
4688
871.7 IPS |
|
|
Image Classification (HP)
|
100% |
7236
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10166
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6126
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3589
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8861
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35405
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
76516
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
4533
359.6 IPS |
|
|
Object Detection (HP)
|
100% |
6174
489.7 IPS |
|
|
Object Detection (Q)
|
87% |
10023
804.4 IPS |
|
|
Face Detection (SP)
|
100% |
13153
156.3 IPS |
|
|
Face Detection (HP)
|
100% |
18282
217.2 IPS |
|
|
Face Detection (Q)
|
100% |
34614
411.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11148
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19368
149.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35597
277.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26535
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55221
71.0 IPS |
|
|
Style Transfer (Q)
|
98% |
100312
129.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14573
538.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24492
907.0 IPS |
|
|
Text Classification (SP)
|
100% |
4314
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2372
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5427
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4700
81.0 IPS |