Intel(R) Client Systems NUC12SNKi72
Geekbench AI Score
3476
Single Precision Score
1344
Half Precision Score
6147
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 02 2025 05:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC12SNKi72 |
| Motherboard | Intel Corporation NUC12SNKi72 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2856
531.1 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
99% |
5147
960.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7420
120.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5616
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3757
4.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
16712
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
5702
458.3 IPS |
|
|
Face Detection (SP)
|
100% |
6137
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
7797
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7375
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1915
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12965
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14193
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9016
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17072
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2494
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3139
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
501
668.1 IPS |
|
|
Text Classification (Q)
|
97% |
1398
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2796
56.2 IPS |
