NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2616
Single Precision Score
2602
Half Precision Score
6242
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 03:18 PM |
| Views | 5 |
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% |
1370
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
1292
240.3 IPS |
|
|
Image Classification (Q)
|
100% |
3950
734.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3756
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4275
4.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
11957
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (Q)
|
88% |
4175
334.7 IPS |
|
|
Face Detection (SP)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (Q)
|
100% |
9249
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4260
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4249
32.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10408
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10935
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12011
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32485
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6608
244.7 IPS |
|
|
Text Classification (SP)
|
100% |
1664
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
2984
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2081
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1810
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1969
33.9 IPS |
