Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
6884
Single Precision Score
6798
Half Precision Score
17126
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | daniel-baumann |
| Upload Date | June 29 2025 02:44 PM |
| Views | 9 |
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% |
4087
760.0 IPS |
|
|
Image Classification (HP)
|
100% |
4039
751.1 IPS |
|
|
Image Classification (Q)
|
100% |
10725
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5522
89.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5603
90.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11754
190.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8018
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
8018
9.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
30905
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3959
314.0 IPS |
|
|
Object Detection (HP)
|
100% |
3883
308.0 IPS |
|
|
Object Detection (Q)
|
88% |
11209
898.6 IPS |
|
|
Face Detection (SP)
|
100% |
13124
155.9 IPS |
|
|
Face Detection (HP)
|
100% |
13161
156.4 IPS |
|
|
Face Detection (Q)
|
100% |
25750
306.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10137
78.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10050
77.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
29802
231.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24383
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24202
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91055
117.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5192
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5041
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17722
656.3 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (Q)
|
92% |
6349
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5983
103.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6146
105.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6325
108.9 IPS |
