Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
6891
Single Precision Score
6854
Half Precision Score
17032
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | daniel-baumann |
| Upload Date | June 29 2025 02:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KS |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Intel(R) Client Systems NUC13RNGi9 |
| Motherboard | Intel Corporation NUC13SBBi9 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4135
768.9 IPS |
|
|
Image Classification (HP)
|
100% |
4137
769.3 IPS |
|
|
Image Classification (Q)
|
100% |
10587
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5560
90.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5542
89.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11647
188.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8128
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
8032
9.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
31021
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
4032
319.8 IPS |
|
|
Object Detection (HP)
|
100% |
3921
311.1 IPS |
|
|
Object Detection (Q)
|
88% |
11080
888.2 IPS |
|
|
Face Detection (SP)
|
100% |
12676
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
13122
155.9 IPS |
|
|
Face Detection (Q)
|
100% |
25674
305.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10292
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10209
78.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
29716
231.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23893
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24168
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90387
116.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5106
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5062
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17849
661.0 IPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (Q)
|
92% |
6340
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6098
105.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6140
105.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6213
107.0 IPS |
