NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2778
Single Precision Score
2737
Half Precision Score
7043
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Tungsten |
| Upload Date | August 05 2025 04:32 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
1630
303.2 IPS |
|
|
Image Classification (HP)
|
100% |
1604
298.2 IPS |
|
|
Image Classification (Q)
|
100% |
4313
802.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4248
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3414
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3117
3.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
12289
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
100% |
1633
129.6 IPS |
|
|
Object Detection (Q)
|
88% |
4598
368.6 IPS |
|
|
Face Detection (SP)
|
100% |
4059
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
10059
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4034
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3994
30.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11613
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9866
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9526
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34091
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1882
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6993
259.0 IPS |
|
|
Text Classification (SP)
|
100% |
1708
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1699
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2833
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2794
48.1 IPS |
