NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2341
Single Precision Score
723
Half Precision Score
5431
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Tungsten |
| Upload Date | August 05 2025 04:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUSTeK COMPUTER INC. NUC12WSH-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC12WSB-M |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
97% |
4329
807.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (Q)
|
99% |
3099
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3563
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2162
2.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
12239
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
86% |
5005
402.2 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
394
4.68 IPS |
|
|
Face Detection (Q)
|
97% |
11060
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4325
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1005
7.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
10752
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8980
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6355
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
14329
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1369
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3766
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
561
749.0 IPS |
|
|
Text Classification (Q)
|
97% |
1561
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (Q)
|
65% |
2716
54.6 IPS |
