| User | Warblood |
| Upload Date | November 17 2025 04:55 AM |
| Views | 3 |
| 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% |
4688
871.7 IPS |
|
|
Image Classification (HP)
|
100% |
7474
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10837
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6078
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3625
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8781
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35475
41.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
76866
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
4385
347.8 IPS |
|
|
Object Detection (HP)
|
100% |
6343
503.1 IPS |
|
|
Object Detection (Q)
|
87% |
10610
851.6 IPS |
|
|
Face Detection (SP)
|
100% |
13176
156.6 IPS |
|
|
Face Detection (HP)
|
100% |
18621
221.3 IPS |
|
|
Face Detection (Q)
|
100% |
35281
419.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11229
86.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19864
153.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
37439
291.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25710
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
57722
74.2 IPS |
|
|
Style Transfer (Q)
|
98% |
105269
135.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15124
558.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25515
944.9 IPS |
|
|
Text Classification (SP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
2468
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5630
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4822
83.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4897
84.4 IPS |