Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
4802
Single Precision Score
1086
Half Precision Score
10240
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | daniel-baumann |
| Upload Date | June 29 2025 02:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2981
554.3 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
97% |
9238
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
5091
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8688
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4152
4.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
30943
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3072
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.1 IPS |
|
|
Object Detection (Q)
|
86% |
8655
695.6 IPS |
|
|
Face Detection (SP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (Q)
|
97% |
24131
287.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9437
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1467
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20846
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20701
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10775
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36479
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3916
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6040
223.7 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.9 IPS |
|
|
Text Classification (Q)
|
97% |
2012
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4515
90.7 IPS |
