| User | Warblood |
| Upload Date | October 09 2025 11:11 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% |
4304
800.4 IPS |
|
|
Image Classification (HP)
|
100% |
7526
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10726
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5640
91.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3617
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8078
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
35479
41.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75796
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
4194
332.7 IPS |
|
|
Object Detection (HP)
|
100% |
6297
499.4 IPS |
|
|
Object Detection (Q)
|
88% |
10730
860.2 IPS |
|
|
Face Detection (SP)
|
100% |
12578
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
18633
221.4 IPS |
|
|
Face Detection (Q)
|
100% |
34833
413.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10261
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19954
153.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
37117
288.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24916
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
58164
74.8 IPS |
|
|
Style Transfer (Q)
|
98% |
105230
135.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16478
608.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32545
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2365
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5522
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5105
87.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5177
89.2 IPS |