ASUSTeK COMPUTER INC. NUC14LNK
Geekbench AI Score
3153
Single Precision Score
26568
Half Precision Score
43742
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jruhe |
| Upload Date | January 05 2026 09:38 PM |
| Views | 6 |
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 | 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% |
1922
357.5 IPS |
|
|
Image Classification (HP)
|
100% |
16491
3.07 KIPS |
|
|
Image Classification (Q)
|
100% |
23143
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18593
301.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28477
461.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3411
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
106822
124.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
237544
278.3 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
15729
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
24672
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
5638
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
34522
410.2 IPS |
|
|
Face Detection (Q)
|
100% |
87322
1.04 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4770
36.8 IPS |
|
|
Depth Estimation (HP)
|
92% |
80118
621.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
157642
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
10097
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
209573
269.4 IPS |
|
|
Style Transfer (Q)
|
98% |
317281
409.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30238
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66470
2.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (Q)
|
92% |
3350
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2967
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6079
104.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6828
117.6 IPS |
