NUC12WSH-B [Single RAM] ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
3796
Single Precision Score
5843
Half Precision Score
9106
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 25 2025 03:35 PM |
| Views | 8 |
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% |
2383
443.2 IPS |
|
|
Image Classification (HP)
|
100% |
4296
799.0 IPS |
|
|
Image Classification (Q)
|
99% |
6070
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5661
91.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6808
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9817
11.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
7683
8.96 IPS |
|
|
Pose Estimation (Q)
|
97% |
31751
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
3572
283.3 IPS |
|
|
Object Detection (Q)
|
90% |
6237
498.7 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7888
93.7 IPS |
|
|
Face Detection (Q)
|
100% |
12991
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7751
59.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13729
106.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
17659
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23254
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36819
47.3 IPS |
|
|
Style Transfer (Q)
|
98% |
69747
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6715
247.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11889
440.3 IPS |
|
|
Text Classification (SP)
|
71% |
1151
1.67 KIPS |
|
|
Text Classification (HP)
|
71% |
1354
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
1327
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1917
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1898
32.8 IPS |
