ASUS NUC 14 Pro AI - OpenVINO NPU ASUSTeK COMPUTER INC. NUC14LNK
Geekbench AI Score
2583
Single Precision Score
23038
Half Precision Score
34651
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | July 02 2025 12:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
13380
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
19763
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14588
236.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20549
333.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
100104
116.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
204847
240.0 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
16645
1.32 KIPS |
|
|
Object Detection (Q)
|
87% |
23388
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5582
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
24700
293.5 IPS |
|
|
Face Detection (Q)
|
100% |
56769
674.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4730
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
68870
530.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
108739
846.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6559
8.43 IPS |
|
|
Style Transfer (HP)
|
100% |
201568
259.1 IPS |
|
|
Style Transfer (Q)
|
98% |
311794
402.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35469
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66663
2.47 KIPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2621
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2165
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3814
65.7 IPS |
