NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2566
Single Precision Score
2858
Half Precision Score
1667
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 03:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD 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% |
1092
203.0 IPS |
|
|
Image Classification (HP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (Q)
|
100% |
984
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1265
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8179
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
12306
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5078
5.95 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.5 IPS |
|
|
Object Detection (HP)
|
98% |
1239
98.6 IPS |
|
|
Object Detection (Q)
|
86% |
1095
88.1 IPS |
|
|
Face Detection (SP)
|
100% |
2061
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
1528
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6341
49.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3835
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21790
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31947
41.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13711
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3001
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4451
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1381
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
329
438.9 IPS |
|
|
Text Classification (Q)
|
97% |
473
634.0 IPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
70% |
458
8.60 IPS |
