NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
3837
Single Precision Score
5886
Half Precision Score
9153
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 03:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2418
449.6 IPS |
|
|
Image Classification (HP)
|
100% |
4412
820.5 IPS |
|
|
Image Classification (Q)
|
99% |
5830
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5764
93.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6813
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9858
11.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
7700
8.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
31725
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
3605
286.0 IPS |
|
|
Object Detection (Q)
|
90% |
6398
511.5 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7819
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
12952
153.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7853
60.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13646
105.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
18000
140.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24273
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36854
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
69937
90.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4019
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6769
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12024
445.3 IPS |
|
|
Text Classification (SP)
|
71% |
1220
1.76 KIPS |
|
|
Text Classification (HP)
|
71% |
1373
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1328
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1935
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1968
34.0 IPS |
