ASUSTeK COMPUTER INC. NUC14MNK-B2
Geekbench AI Score
525
Single Precision Score
282
Half Precision Score
1087
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ladislavdruhy |
| Upload Date | December 15 2025 12:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N250 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14MNK-B2 |
| Motherboard | ASUSTeK COMPUTER INC. NUC14MNB2 |
| Power Plan | Vyven |
| CPU Information | |
|---|---|
| Name | Intel(R) N250 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
632
117.5 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
633
118.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1320
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
1540
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
86% |
558
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
97% |
1651
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
700
5.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
389
3.00 IPS |
|
|
Depth Estimation (Q)
|
78% |
1726
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1545
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1190
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2976
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
255
9.43 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
792
29.3 IPS |
|
|
Text Classification (SP)
|
100% |
418
557.6 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.0 IPS |
|
|
Text Classification (Q)
|
97% |
648
867.8 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
65% |
741
14.9 IPS |
