NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2859
Single Precision Score
2869
Half Precision Score
6547
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 01:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| 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 | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1434
266.7 IPS |
|
|
Image Classification (HP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (Q)
|
100% |
4190
779.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4108
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4365
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4335
5.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
12045
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (Q)
|
88% |
4302
344.9 IPS |
|
|
Face Detection (SP)
|
100% |
4134
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
9797
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4403
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4774
36.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10886
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12519
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12646
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33323
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2168
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6726
249.1 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
3374
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2013
34.7 IPS |
