| User | Warblood |
| Upload Date | December 01 2025 02:28 AM |
| Views | 6 |
| 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% |
4596
854.7 IPS |
|
|
Image Classification (HP)
|
100% |
7450
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10828
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5967
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3597
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8871
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35068
40.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75684
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
4399
348.9 IPS |
|
|
Object Detection (HP)
|
100% |
6359
504.4 IPS |
|
|
Object Detection (Q)
|
87% |
10696
858.4 IPS |
|
|
Face Detection (SP)
|
100% |
13706
162.9 IPS |
|
|
Face Detection (HP)
|
100% |
18172
215.9 IPS |
|
|
Face Detection (Q)
|
100% |
35731
424.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11432
88.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19361
149.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
37071
288.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26001
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56801
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
104126
134.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5492
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15081
556.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25414
941.2 IPS |
|
|
Text Classification (SP)
|
100% |
4235
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5753
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4798
82.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4856
83.7 IPS |