NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2916
Single Precision Score
2948
Half Precision Score
1842
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 02:42 AM |
| Views | 13 |
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% |
1161
216.0 IPS |
|
|
Image Classification (HP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (Q)
|
100% |
1048
194.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1431
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11222
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12666
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5871
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
98% |
1309
104.2 IPS |
|
|
Object Detection (Q)
|
86% |
1197
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (Q)
|
97% |
2016
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5869
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6690
51.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4095
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25076
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33223
42.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15833
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3221
118.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4473
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1440
53.3 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
309
412.5 IPS |
|
|
Text Classification (Q)
|
97% |
459
615.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
70% |
494
9.27 IPS |
