Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
6759
Single Precision Score
6781
Half Precision Score
16925
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | daniel-baumann |
| Upload Date | June 29 2025 02:43 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% |
3975
739.3 IPS |
|
|
Image Classification (HP)
|
100% |
3975
739.2 IPS |
|
|
Image Classification (Q)
|
100% |
10601
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5402
87.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5475
88.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11510
186.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7943
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
7910
9.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
30534
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4072
323.0 IPS |
|
|
Object Detection (HP)
|
100% |
3804
301.7 IPS |
|
|
Object Detection (Q)
|
88% |
11145
893.4 IPS |
|
|
Face Detection (SP)
|
100% |
12560
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
13066
155.2 IPS |
|
|
Face Detection (Q)
|
100% |
25542
303.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10056
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10142
78.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
29184
227.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24110
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24330
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90254
116.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5106
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17302
640.8 IPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3090
4.12 KIPS |
|
|
Text Classification (Q)
|
92% |
6326
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5996
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6179
106.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6311
108.7 IPS |
