NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2583
Single Precision Score
2848
Half Precision Score
1665
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 03:05 PM |
| Views | 5 |
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% |
1075
199.9 IPS |
|
|
Image Classification (HP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (Q)
|
100% |
972
180.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1271
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8551
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
12304
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5065
5.93 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
98% |
1236
98.3 IPS |
|
|
Object Detection (Q)
|
86% |
1103
88.7 IPS |
|
|
Face Detection (SP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
1540
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5251
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6380
49.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3826
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21666
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31518
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13720
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3023
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4488
165.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1388
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
313
417.3 IPS |
|
|
Text Classification (Q)
|
97% |
463
620.3 IPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
70% |
459
8.61 IPS |
