NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2545
Single Precision Score
1090
Half Precision Score
5068
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 02:47 PM |
| Views | 9 |
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% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (Q)
|
99% |
3917
730.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5918
96.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4507
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2994
3.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
14206
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1933
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
86% |
4288
344.6 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
6343
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5545
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1536
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10463
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9875
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7625
9.80 IPS |
|
|
Style Transfer (Q)
|
98% |
10642
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3847
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
575
767.7 IPS |
|
|
Text Classification (Q)
|
97% |
1286
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2266
45.5 IPS |
