NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
3775
Single Precision Score
5835
Half Precision Score
9111
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 03:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2231
415.0 IPS |
|
|
Image Classification (HP)
|
100% |
4283
796.6 IPS |
|
|
Image Classification (Q)
|
99% |
5635
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5462
88.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6633
107.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9744
11.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
7685
8.97 IPS |
|
|
Pose Estimation (Q)
|
97% |
31531
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
3580
283.9 IPS |
|
|
Object Detection (Q)
|
90% |
6165
492.9 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7705
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
12970
154.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7781
59.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13793
106.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
18013
140.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23843
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36108
46.4 IPS |
|
|
Style Transfer (Q)
|
98% |
70016
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3976
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6822
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12326
456.5 IPS |
|
|
Text Classification (SP)
|
71% |
1291
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
1388
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
1375
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1959
33.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1958
33.8 IPS |
