Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
11293
Single Precision Score
12026
Half Precision Score
8515
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 12:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT LTSC (64-bit) |
| Model | Intel(R) Client Systems NUC13RNGi9 |
| Motherboard | Intel Corporation NUC13SBBi9 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4820
896.4 IPS |
|
|
Image Classification (HP)
|
100% |
4946
919.8 IPS |
|
|
Image Classification (Q)
|
99% |
4065
758.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8432
136.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14070
228.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7519
122.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
64181
74.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
71779
83.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
52417
61.4 IPS |
|
|
Object Detection (SP)
|
100% |
6606
524.0 IPS |
|
|
Object Detection (HP)
|
99% |
6612
526.0 IPS |
|
|
Object Detection (Q)
|
85% |
5300
426.5 IPS |
|
|
Face Detection (SP)
|
100% |
18911
224.7 IPS |
|
|
Face Detection (HP)
|
100% |
18508
219.9 IPS |
|
|
Face Detection (Q)
|
97% |
14002
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25511
196.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
25492
197.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
19758
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
155057
199.3 IPS |
|
|
Style Transfer (HP)
|
100% |
143182
184.1 IPS |
|
|
Style Transfer (Q)
|
98% |
115890
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14706
543.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21814
805.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11279
417.6 IPS |
|
|
Text Classification (SP)
|
86% |
733
991.7 IPS |
|
|
Text Classification (HP)
|
100% |
624
832.7 IPS |
|
|
Text Classification (Q)
|
84% |
551
748.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1185
22.2 IPS |
