ASUSTeK COMPUTER INC. NUC14LNK
Geekbench AI Score
11450
Single Precision Score
30459
Half Precision Score
36257
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jruhe |
| Upload Date | January 05 2026 09:42 PM |
| Views | 4 |
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 Core 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% |
7507
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
15219
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
19691
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9679
156.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27680
448.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32533
527.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23770
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
136439
159.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
264440
309.6 IPS |
|
|
Object Detection (SP)
|
100% |
6636
526.4 IPS |
|
|
Object Detection (HP)
|
100% |
16544
1.31 KIPS |
|
|
Object Detection (Q)
|
88% |
21347
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
14319
170.1 IPS |
|
|
Face Detection (HP)
|
100% |
34401
408.8 IPS |
|
|
Face Detection (Q)
|
100% |
51087
607.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24860
191.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
58981
454.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
68961
536.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60476
77.7 IPS |
|
|
Style Transfer (HP)
|
100% |
212354
273.0 IPS |
|
|
Style Transfer (Q)
|
98% |
299980
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10097
372.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35515
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42987
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4335
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
6358
8.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3131
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7430
128.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7633
131.5 IPS |
