Intel(R) Client Systems NUC12WSKi5
Geekbench AI Score
2559
Single Precision Score
1046
Half Precision Score
4521
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DaBushman |
| Upload Date | July 09 2025 09:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Intel(R) Client Systems NUC12WSKi5 |
| Motherboard | Intel Corporation NUC12WSBi5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
99% |
3696
689.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2337
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4432
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
12762
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
86% |
4091
328.8 IPS |
|
|
Face Detection (SP)
|
100% |
4175
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
6503
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5499
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1426
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10273
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9981
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7341
9.44 IPS |
|
|
Style Transfer (Q)
|
98% |
14329
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2903
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
1119
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
537
716.8 IPS |
|
|
Text Classification (Q)
|
97% |
1309
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (Q)
|
65% |
2177
43.8 IPS |
