Intel(R) Client Systems NUC12EDBi9
Geekbench AI Score
9624
Single Precision Score
14011
Half Precision Score
14177
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 26 2025 02:51 AM |
| Views | 9 |
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 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% |
3781
703.2 IPS |
|
|
Image Classification (HP)
|
100% |
5101
948.7 IPS |
|
|
Image Classification (Q)
|
100% |
5130
954.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6420
104.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7370
119.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7425
120.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
68221
79.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
161020
187.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
208149
243.7 IPS |
|
|
Object Detection (SP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (HP)
|
100% |
5868
465.5 IPS |
|
|
Object Detection (Q)
|
88% |
5866
470.1 IPS |
|
|
Face Detection (SP)
|
100% |
10430
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
12922
153.5 IPS |
|
|
Face Detection (Q)
|
100% |
12842
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21979
169.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47189
363.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
46054
358.0 IPS |
|
|
Style Transfer (SP)
|
100% |
161609
207.8 IPS |
|
|
Style Transfer (HP)
|
100% |
260574
335.0 IPS |
|
|
Style Transfer (Q)
|
98% |
299889
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16369
604.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23409
864.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23294
862.7 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1592
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
1151
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1483
25.5 IPS |
