| Upload Date | October 30 2025 02:17 PM |
| Views | 2 |
| 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z890 AYW GAMING WIFI W |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4139
769.8 IPS |
|
|
Image Classification (HP)
|
100% |
2987
555.6 IPS |
|
|
Image Classification (Q)
|
100% |
10592
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5393
87.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12737
206.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7663
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
5148
6.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
29121
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3759
298.2 IPS |
|
|
Object Detection (HP)
|
100% |
2892
229.4 IPS |
|
|
Object Detection (Q)
|
88% |
11384
912.6 IPS |
|
|
Face Detection (SP)
|
100% |
11850
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
9390
111.6 IPS |
|
|
Face Detection (Q)
|
100% |
30666
364.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9933
76.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7202
55.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
29741
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23353
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14887
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
87918
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17193
636.7 IPS |
|
|
Text Classification (SP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (Q)
|
92% |
5990
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5217
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5111
88.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5091
87.7 IPS |