ASUSTeK COMPUTER INC. NUC14LNK
Geekbench AI Score
10646
Single Precision Score
25779
Half Precision Score
28870
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jruhe |
| Upload Date | September 29 2025 03:20 PM |
| Views | 2 |
System Information
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7135
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
12377
2.30 KIPS |
|
|
Image Classification (Q)
|
100% |
15333
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9166
148.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25241
409.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29007
470.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22638
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
130811
152.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
259357
303.6 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
12892
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
15026
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
13632
162.0 IPS |
|
|
Face Detection (HP)
|
100% |
31351
372.5 IPS |
|
|
Face Detection (Q)
|
100% |
43240
513.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22019
169.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56675
436.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
63702
495.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53147
68.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150153
193.0 IPS |
|
|
Style Transfer (Q)
|
98% |
156843
202.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9517
351.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28094
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28022
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4574
6.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2726
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7178
124.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7032
121.1 IPS |
