NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2962
Single Precision Score
2979
Half Precision Score
1826
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 02:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (Q)
|
100% |
1060
197.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1439
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11118
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12693
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5888
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
98% |
1316
104.7 IPS |
|
|
Object Detection (Q)
|
86% |
1255
100.9 IPS |
|
|
Face Detection (SP)
|
100% |
2807
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
3527
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
2029
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5809
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6562
50.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4108
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25007
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32631
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15662
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3259
120.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4527
167.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1433
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
326
435.2 IPS |
|
|
Text Classification (Q)
|
97% |
398
532.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
70% |
492
9.22 IPS |
