| User | knowledgehub |
| Upload Date | April 12 2025 08:03 PM |
| Views | 2 |
| 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. NUC14SRK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14SRB |
| Power Plan | 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1676
311.7 IPS |
|
|
Image Classification (HP)
|
100% |
1712
318.4 IPS |
|
|
Image Classification (Q)
|
100% |
5234
973.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2682
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2655
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5243
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4993
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4801
5.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
16903
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (Q)
|
88% |
5212
417.8 IPS |
|
|
Face Detection (SP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
5081
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
10958
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5507
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5653
43.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
12560
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14949
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14499
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46900
60.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7833
290.1 IPS |
|
|
Text Classification (SP)
|
100% |
1947
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (Q)
|
92% |
3431
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1700
29.3 IPS |