NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2646
Single Precision Score
2626
Half Precision Score
6288
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 03:25 PM |
| Views | 10 |
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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (Q)
|
100% |
4108
764.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3759
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4318
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4309
5.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
11965
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (Q)
|
88% |
4198
336.5 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (Q)
|
100% |
9379
111.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4556
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4487
34.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10667
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11111
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11099
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33013
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6639
245.8 IPS |
|
|
Text Classification (SP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2928
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1941
33.4 IPS |
