| Upload Date | August 16 2024 10:04 AM |
| Views | 3 |
| 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 | Turbo |
| 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% |
1829
340.1 IPS |
|
|
Image Classification (HP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (Q)
|
100% |
4473
831.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4702
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4885
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4854
5.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
18273
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (Q)
|
88% |
4849
388.7 IPS |
|
|
Face Detection (SP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
5401
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
11399
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5619
43.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
5694
43.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
13052
103.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14688
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15040
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
45535
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2471
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2469
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8717
322.8 IPS |
|
|
Text Classification (SP)
|
100% |
693
924.8 IPS |
|
|
Text Classification (HP)
|
100% |
711
948.7 IPS |
|
|
Text Classification (Q)
|
92% |
3032
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2174
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (Q)
|
85% |
3667
64.2 IPS |