NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2557
Single Precision Score
1101
Half Precision Score
5017
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 02:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| 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% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
99% |
3968
740.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5878
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4517
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3001
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
13902
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (Q)
|
86% |
4256
342.0 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
1056
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
6215
74.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5636
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10325
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10098
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7494
9.63 IPS |
|
|
Style Transfer (Q)
|
98% |
10676
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3925
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.7 IPS |
|
|
Text Classification (Q)
|
97% |
1264
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2158
43.4 IPS |
