ASUSTeK COMPUTER INC. NUC14LNK
Geekbench AI Score
3164
Single Precision Score
2154
Half Precision Score
8218
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jruhe |
| Upload Date | October 04 2025 07:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1892
351.9 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (Q)
|
100% |
5208
968.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4926
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3418
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2236
2.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
12791
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (Q)
|
88% |
5384
431.6 IPS |
|
|
Face Detection (SP)
|
100% |
5572
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
4288
51.0 IPS |
|
|
Face Detection (Q)
|
100% |
13723
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4691
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3225
24.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14109
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10139
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6477
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
36547
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7519
278.5 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
4425
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3381
58.2 IPS |
