| User | knowledgehub |
| Upload Date | April 12 2025 08:06 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
5521
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
6124
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
5138
955.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6151
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6448
104.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5964
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
204805
239.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
279194
325.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
186516
218.5 IPS |
|
|
Object Detection (SP)
|
100% |
6558
520.1 IPS |
|
|
Object Detection (HP)
|
100% |
7053
559.4 IPS |
|
|
Object Detection (Q)
|
86% |
6094
489.6 IPS |
|
|
Face Detection (SP)
|
100% |
15089
179.3 IPS |
|
|
Face Detection (HP)
|
100% |
16215
192.7 IPS |
|
|
Face Detection (Q)
|
97% |
14390
171.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
60370
465.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78031
601.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
47816
382.4 IPS |
|
|
Style Transfer (SP)
|
100% |
307187
394.9 IPS |
|
|
Style Transfer (HP)
|
100% |
413602
531.7 IPS |
|
|
Style Transfer (Q)
|
98% |
279638
360.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30602
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
34198
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26005
962.9 IPS |
|
|
Text Classification (SP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
2338
3.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1152
21.6 IPS |