Intel(R) Client Systems NUC12EDBi9
Geekbench AI Score
8618
Single Precision Score
8867
Half Precision Score
6988
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 04 2025 03:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| 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% |
3347
622.3 IPS |
|
|
Image Classification (HP)
|
100% |
3291
611.9 IPS |
|
|
Image Classification (Q)
|
99% |
3006
560.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4549
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5832
94.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4278
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
74960
87.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
74115
86.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
60427
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
4178
331.4 IPS |
|
|
Object Detection (HP)
|
99% |
4288
341.1 IPS |
|
|
Object Detection (Q)
|
85% |
3632
292.3 IPS |
|
|
Face Detection (SP)
|
100% |
9615
114.2 IPS |
|
|
Face Detection (HP)
|
100% |
9788
116.3 IPS |
|
|
Face Detection (Q)
|
97% |
8319
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24978
192.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
24774
191.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
20120
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
144930
186.3 IPS |
|
|
Style Transfer (HP)
|
100% |
138665
178.3 IPS |
|
|
Style Transfer (Q)
|
98% |
112522
145.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14398
531.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18345
677.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10929
404.7 IPS |
|
|
Text Classification (SP)
|
86% |
690
933.2 IPS |
|
|
Text Classification (HP)
|
100% |
641
855.1 IPS |
|
|
Text Classification (Q)
|
84% |
555
752.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
70% |
862
16.2 IPS |
