| User | TechFi |
| Upload Date | July 02 2025 12:27 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| 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% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
1004
186.6 IPS |
|
|
Image Classification (Q)
|
100% |
4933
917.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
12250
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.7 IPS |
|
|
Object Detection (HP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (Q)
|
88% |
5286
423.8 IPS |
|
|
Face Detection (SP)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
3362
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
13102
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4721
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2474
19.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
13954
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6636
8.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4240
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
37177
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2119
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
974
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4525
167.6 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
3593
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3311
57.0 IPS |