| User | phm |
| Upload Date | July 07 2025 02:09 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4522
841.0 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.4 IPS |
|
|
Image Classification (Q)
|
100% |
10659
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5932
96.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13889
225.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8828
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5791
6.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
32543
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4428
351.2 IPS |
|
|
Object Detection (HP)
|
100% |
3239
256.9 IPS |
|
|
Object Detection (Q)
|
88% |
12561
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
13383
159.0 IPS |
|
|
Face Detection (HP)
|
100% |
10323
122.7 IPS |
|
|
Face Detection (Q)
|
100% |
32801
389.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11206
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8130
62.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
34283
266.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26165
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16967
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96888
124.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5650
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3784
139.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16897
625.8 IPS |
|
|
Text Classification (SP)
|
100% |
4237
5.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
6255
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5330
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5775
99.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5547
95.5 IPS |