NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
4636
Single Precision Score
6675
Half Precision Score
10123
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 02:22 PM |
| Views | 12 |
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% |
2970
552.4 IPS |
|
|
Image Classification (HP)
|
100% |
4666
867.7 IPS |
|
|
Image Classification (Q)
|
99% |
6129
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4195
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7092
115.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8863
143.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10529
12.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
7828
9.13 IPS |
|
|
Pose Estimation (Q)
|
97% |
32489
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
2914
231.1 IPS |
|
|
Object Detection (HP)
|
100% |
4161
330.1 IPS |
|
|
Object Detection (Q)
|
90% |
6775
541.7 IPS |
|
|
Face Detection (SP)
|
100% |
6371
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
11213
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
16545
196.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9606
74.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
16025
123.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
20423
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26651
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39095
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
72367
93.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12675
469.4 IPS |
|
|
Text Classification (SP)
|
71% |
1200
1.74 KIPS |
|
|
Text Classification (HP)
|
71% |
1484
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
1383
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2214
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2205
38.1 IPS |
