ASUSTeK COMPUTER INC. NUC14LNK
Geekbench AI Score
11273
Single Precision Score
27615
Half Precision Score
31042
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jruhe |
| Upload Date | October 04 2025 07:49 AM |
| Views | 7 |
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% |
7382
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
14273
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
17571
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9904
160.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25762
417.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30189
489.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23772
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
136784
159.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
263596
308.6 IPS |
|
|
Object Detection (SP)
|
100% |
6686
530.3 IPS |
|
|
Object Detection (HP)
|
100% |
14631
1.16 KIPS |
|
|
Object Detection (Q)
|
88% |
15679
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
14752
175.3 IPS |
|
|
Face Detection (HP)
|
100% |
32705
388.6 IPS |
|
|
Face Detection (Q)
|
100% |
43663
518.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24662
190.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
60843
468.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
70267
546.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54365
69.9 IPS |
|
|
Style Transfer (HP)
|
100% |
155025
199.3 IPS |
|
|
Style Transfer (Q)
|
98% |
174997
225.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10036
370.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27231
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30451
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4131
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5697
7.60 KIPS |
|
|
Text Classification (Q)
|
92% |
3158
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3479
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7326
126.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7340
126.4 IPS |
