| User | TechFi |
| Upload Date | July 02 2025 12:38 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14LNK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14LNK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7451
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
14830
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
20570
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7501
121.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15101
244.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17033
276.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23637
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
137389
160.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
261279
305.9 IPS |
|
|
Object Detection (SP)
|
100% |
6458
512.2 IPS |
|
|
Object Detection (HP)
|
100% |
15547
1.23 KIPS |
|
|
Object Detection (Q)
|
88% |
18861
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
13841
164.5 IPS |
|
|
Face Detection (HP)
|
100% |
33699
400.4 IPS |
|
|
Face Detection (Q)
|
100% |
45926
545.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23073
177.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
60181
463.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
73639
572.7 IPS |
|
|
Style Transfer (SP)
|
100% |
54415
70.0 IPS |
|
|
Style Transfer (HP)
|
100% |
157134
202.0 IPS |
|
|
Style Transfer (Q)
|
98% |
181632
234.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10083
372.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27931
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33266
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
92% |
3380
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7551
130.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7568
130.4 IPS |