NUC12WSH-B ASUSTeK COMPUTER INC. NUC12WSH-B
Geekbench AI Score
1759
Single Precision Score
1731
Half Precision Score
1202
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Tungsten |
| Upload Date | August 05 2025 04:45 PM |
| Views | 10 |
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% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
1312
244.1 IPS |
|
|
Image Classification (Q)
|
99% |
872
162.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
948
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1989
2.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
2062
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (Q)
|
85% |
935
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2209
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
2018
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2114
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2065
15.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1624
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2562
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2627
3.38 IPS |
|
|
Style Transfer (Q)
|
98% |
4557
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1388
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1062
39.4 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
534
716.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (Q)
|
58% |
467
11.0 IPS |
