NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
4671
Single Precision Score
6615
Half Precision Score
10039
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 02:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe 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% |
2939
546.5 IPS |
|
|
Image Classification (HP)
|
100% |
4594
854.4 IPS |
|
|
Image Classification (Q)
|
99% |
5993
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4296
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7222
117.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8944
145.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10645
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
7869
9.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
32082
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
2911
230.9 IPS |
|
|
Object Detection (HP)
|
100% |
4090
324.4 IPS |
|
|
Object Detection (Q)
|
90% |
6558
524.3 IPS |
|
|
Face Detection (SP)
|
100% |
6418
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
11167
132.7 IPS |
|
|
Face Detection (Q)
|
100% |
16873
200.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9698
74.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
16099
124.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
20369
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26846
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39120
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
72261
93.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6965
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12640
468.1 IPS |
|
|
Text Classification (SP)
|
71% |
1230
1.78 KIPS |
|
|
Text Classification (HP)
|
71% |
1402
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
1329
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2189
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2211
38.2 IPS |
