| Upload Date | November 12 2025 01:09 PM |
| Views | 2 |
| 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 B860-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3044
566.2 IPS |
|
|
Image Classification (HP)
|
100% |
7324
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
9969
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3502
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
33677
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
73691
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
2919
231.6 IPS |
|
|
Object Detection (HP)
|
100% |
6055
480.3 IPS |
|
|
Object Detection (Q)
|
88% |
10327
827.9 IPS |
|
|
Face Detection (SP)
|
100% |
8201
97.5 IPS |
|
|
Face Detection (HP)
|
100% |
17930
213.0 IPS |
|
|
Face Detection (Q)
|
100% |
32062
381.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7339
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17561
135.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33829
263.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16884
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
52864
68.0 IPS |
|
|
Style Transfer (Q)
|
98% |
95570
123.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16262
600.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31568
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2171
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4717
81.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4748
81.8 IPS |