| User | Venturouster17 |
| Upload Date | September 03 2025 05:24 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MV_GU605MV |
| Motherboard | ASUSTeK COMPUTER INC. GU605MV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (HP)
|
100% |
1870
347.8 IPS |
|
|
Image Classification (Q)
|
100% |
5723
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3036
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5791
93.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5084
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5028
5.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
18101
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (HP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (Q)
|
88% |
5889
472.1 IPS |
|
|
Face Detection (SP)
|
100% |
5886
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
5868
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
12264
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5938
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6003
46.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
14588
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14976
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14667
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
52484
67.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9317
345.0 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
3881
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2705
46.6 IPS |