| User | Michael4u |
| Upload Date | October 09 2025 02:45 AM |
| Views | 8 |
| 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 | Hoge prestaties |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4371
812.9 IPS |
|
|
Image Classification (HP)
|
100% |
7615
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
10871
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5761
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3626
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8258
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
35561
41.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
76321
89.4 IPS |
|
|
Object Detection (SP)
|
100% |
4121
326.9 IPS |
|
|
Object Detection (HP)
|
100% |
6423
509.5 IPS |
|
|
Object Detection (Q)
|
88% |
11030
884.3 IPS |
|
|
Face Detection (SP)
|
100% |
12388
147.2 IPS |
|
|
Face Detection (HP)
|
100% |
18733
222.6 IPS |
|
|
Face Detection (Q)
|
100% |
35195
418.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9559
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19711
151.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
36661
285.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22220
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57123
73.4 IPS |
|
|
Style Transfer (Q)
|
98% |
103959
134.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4746
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16846
622.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33299
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2466
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5272
90.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5354
92.2 IPS |