NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2963
Single Precision Score
2971
Half Precision Score
1828
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 06:06 AM |
| Views | 9 |
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% |
1232
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (Q)
|
100% |
1049
195.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1446
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11420
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12653
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5941
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
98% |
1315
104.7 IPS |
|
|
Object Detection (Q)
|
86% |
1247
100.2 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
2038
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5843
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6650
51.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4106
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25246
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32633
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15835
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4632
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1442
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
310
414.0 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
70% |
484
9.08 IPS |
