NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
1774
Single Precision Score
1758
Half Precision Score
1160
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Tungsten |
| Upload Date | August 05 2025 04:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| 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 | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (Q)
|
99% |
745
138.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
949
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2262
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
2072
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (Q)
|
85% |
943
75.9 IPS |
|
|
Face Detection (SP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
1973
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2109
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2054
15.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1627
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2634
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2637
3.39 IPS |
|
|
Style Transfer (Q)
|
98% |
4545
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1656
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
401
538.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (Q)
|
58% |
516
12.1 IPS |
