| User | Warblood |
| Upload Date | December 06 2025 05:32 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| 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% |
4380
814.5 IPS |
|
|
Image Classification (HP)
|
100% |
7473
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10599
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5821
94.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3591
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8543
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
35147
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75803
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
4128
327.5 IPS |
|
|
Object Detection (HP)
|
100% |
6310
500.5 IPS |
|
|
Object Detection (Q)
|
87% |
10302
826.8 IPS |
|
|
Face Detection (SP)
|
100% |
13418
159.4 IPS |
|
|
Face Detection (HP)
|
100% |
18174
215.9 IPS |
|
|
Face Detection (Q)
|
100% |
34576
410.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10665
82.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19493
150.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36672
285.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24768
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
56362
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
102171
131.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14618
539.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24304
900.1 IPS |
|
|
Text Classification (SP)
|
100% |
4165
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2216
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5701
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4788
82.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4786
82.4 IPS |