NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
2798
Single Precision Score
2785
Half Precision Score
6581
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | July 27 2025 02:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.3 IPS |
|
|
Image Classification (Q)
|
100% |
4157
773.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4058
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4385
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4343
5.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
12069
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (Q)
|
88% |
4308
345.4 IPS |
|
|
Face Detection (SP)
|
100% |
3922
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
9930
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4717
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4441
34.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
10929
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11340
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12481
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33250
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6705
248.3 IPS |
|
|
Text Classification (SP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
3384
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2123
36.6 IPS |
