Intel(R) Client Systems NUC12EDBi9
Geekbench AI Score
5600
Single Precision Score
5160
Half Precision Score
13568
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 26 2025 02:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations Insider Preview (64-bit) |
| Model | Intel(R) Client Systems NUC12EDBi9 |
| Motherboard | Intel Corporation NUC12EDBi9 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3637
676.4 IPS |
|
|
Image Classification (HP)
|
100% |
3819
710.2 IPS |
|
|
Image Classification (Q)
|
100% |
8516
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4642
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9138
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7166
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
7082
8.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
26375
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
3411
270.6 IPS |
|
|
Object Detection (HP)
|
100% |
2941
233.3 IPS |
|
|
Object Detection (Q)
|
88% |
8848
709.2 IPS |
|
|
Face Detection (SP)
|
100% |
8469
100.6 IPS |
|
|
Face Detection (HP)
|
100% |
8591
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
20980
249.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8622
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9098
70.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
23404
182.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21628
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20494
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
74128
95.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3019
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2475
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15006
555.7 IPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (Q)
|
92% |
4955
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4474
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4302
74.1 IPS |
