NUC win11 ONNX CPU Default string Default string
Geekbench AI Score
678
Single Precision Score
410
Half Precision Score
1336
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kyfgsdkyhsdmhgfvd |
| Upload Date | October 21 2025 03:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
860
160.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1200
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
2090
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
86% |
818
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (Q)
|
97% |
1812
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1179
9.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
566
4.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
2115
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2604
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1956
2.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3867
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1085
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
482
643.1 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.1 IPS |
|
|
Text Classification (Q)
|
97% |
638
854.2 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.61 IPS |
|
|
Machine Translation (Q)
|
65% |
1002
20.1 IPS |
