NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2892
Single Precision Score
2820
Half Precision Score
6620
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 01:31 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% |
1467
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
1419
263.8 IPS |
|
|
Image Classification (Q)
|
100% |
4147
771.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4101
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
12047
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (Q)
|
88% |
4395
352.3 IPS |
|
|
Face Detection (SP)
|
100% |
4130
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
4122
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
9887
117.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4750
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4759
36.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
11055
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12482
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11341
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33319
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6768
250.7 IPS |
|
|
Text Classification (SP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3395
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2146
37.0 IPS |
