NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2657
Single Precision Score
2619
Half Precision Score
6323
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 03:28 PM |
| Views | 9 |
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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (Q)
|
100% |
3969
738.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3750
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3837
4.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
11994
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (Q)
|
88% |
4233
339.3 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
9422
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4539
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4558
35.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
10511
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11990
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11945
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32816
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6645
246.1 IPS |
|
|
Text Classification (SP)
|
100% |
1589
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3370
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1858
32.0 IPS |
