ASUSTeK COMPUTER INC. NUC14LNK
Geekbench AI Score
8159
Single Precision Score
15762
Half Precision Score
5206
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 10:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14LNK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14LNK |
| Power Plan | Balanced |
| 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% |
4512
839.0 IPS |
|
|
Image Classification (HP)
|
100% |
5077
944.1 IPS |
|
|
Image Classification (Q)
|
100% |
3724
692.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7199
116.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14404
233.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4890
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20697
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
107152
125.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17250
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
5651
448.2 IPS |
|
|
Object Detection (HP)
|
100% |
10236
812.0 IPS |
|
|
Object Detection (Q)
|
88% |
4520
362.5 IPS |
|
|
Face Detection (SP)
|
100% |
10261
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
19019
226.0 IPS |
|
|
Face Detection (Q)
|
97% |
6810
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20625
158.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43490
335.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13226
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53197
68.4 IPS |
|
|
Style Transfer (HP)
|
100% |
181209
232.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37749
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9657
356.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16949
625.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5315
196.8 IPS |
|
|
Text Classification (SP)
|
100% |
1049
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1688
2.25 KIPS |
|
|
Text Classification (Q)
|
97% |
579
776.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (Q)
|
70% |
985
18.5 IPS |
