Intel(R) Client Systems NUC12EDBi9
Geekbench AI Score
9578
Single Precision Score
14095
Half Precision Score
14296
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 01 2025 08:45 PM |
| Views | 11 |
| Notes | Gunnir A770 -with arc pro drivers A60 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| 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% |
3798
706.3 IPS |
|
|
Image Classification (HP)
|
100% |
5235
973.5 IPS |
|
|
Image Classification (Q)
|
100% |
5074
943.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6385
103.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7312
118.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7374
119.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
67869
79.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
158471
184.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
204801
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
3398
269.5 IPS |
|
|
Object Detection (HP)
|
100% |
5742
455.5 IPS |
|
|
Object Detection (Q)
|
88% |
5815
466.0 IPS |
|
|
Face Detection (SP)
|
100% |
10361
123.1 IPS |
|
|
Face Detection (HP)
|
100% |
12829
152.4 IPS |
|
|
Face Detection (Q)
|
100% |
12908
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21878
168.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47121
363.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
47281
367.5 IPS |
|
|
Style Transfer (SP)
|
100% |
161364
207.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258782
332.7 IPS |
|
|
Style Transfer (Q)
|
98% |
296661
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16217
598.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23727
876.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24009
889.1 IPS |
|
|
Text Classification (SP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1600
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
1226
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1502
25.9 IPS |
