| User | mnin |
| Upload Date | August 16 2024 04:24 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVS-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| Power Plan | Balanced |
| 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% |
1773
329.8 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (Q)
|
100% |
5043
937.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2789
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5185
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5236
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5895
6.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
16102
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (Q)
|
88% |
4987
399.7 IPS |
|
|
Face Detection (SP)
|
100% |
6170
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
6071
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
12436
147.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6149
47.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
6177
47.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
14201
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17388
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18057
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54193
69.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2845
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2793
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9327
345.4 IPS |
|
|
Text Classification (SP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
3302
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (Q)
|
85% |
4025
70.4 IPS |