Intel(R) Client Systems NUC12EDBi9
Geekbench AI Score
8647
Single Precision Score
8960
Half Precision Score
7091
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 01 2025 09:47 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro A60 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (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% |
3400
632.2 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.7 IPS |
|
|
Image Classification (Q)
|
99% |
3053
569.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4573
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5771
93.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4265
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
75734
88.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
75191
87.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
61897
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
4050
321.3 IPS |
|
|
Object Detection (HP)
|
99% |
4269
339.6 IPS |
|
|
Object Detection (Q)
|
85% |
3723
299.6 IPS |
|
|
Face Detection (SP)
|
100% |
9617
114.3 IPS |
|
|
Face Detection (HP)
|
100% |
9796
116.4 IPS |
|
|
Face Detection (Q)
|
97% |
8406
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24989
192.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
24782
191.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
20314
162.6 IPS |
|
|
Style Transfer (SP)
|
100% |
143308
184.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137562
176.8 IPS |
|
|
Style Transfer (Q)
|
98% |
114026
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14664
541.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18530
684.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11202
414.8 IPS |
|
|
Text Classification (SP)
|
86% |
720
973.3 IPS |
|
|
Text Classification (HP)
|
100% |
705
940.5 IPS |
|
|
Text Classification (Q)
|
84% |
565
766.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
70% |
870
16.3 IPS |
