| User | EDDY_TG |
| Upload Date | December 13 2025 06:32 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3932
731.2 IPS |
|
|
Image Classification (HP)
|
100% |
7294
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10121
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5174
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3452
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6780
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
33995
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75774
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
3256
258.3 IPS |
|
|
Object Detection (HP)
|
100% |
6261
496.6 IPS |
|
|
Object Detection (Q)
|
88% |
10355
830.1 IPS |
|
|
Face Detection (SP)
|
100% |
10783
128.1 IPS |
|
|
Face Detection (HP)
|
100% |
19086
226.8 IPS |
|
|
Face Detection (Q)
|
100% |
34612
411.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9039
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19358
149.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
36582
284.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21673
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55681
71.6 IPS |
|
|
Style Transfer (Q)
|
98% |
103144
133.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4237
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16359
604.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31892
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2236
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4028
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4810
82.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4838
83.3 IPS |