Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
4772
Single Precision Score
1081
Half Precision Score
10307
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | daniel-baumann |
| Upload Date | June 29 2025 02:39 PM |
| Views | 7 |
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% |
2966
551.5 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
97% |
9259
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
5061
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8367
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
28985
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
3008
238.6 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
86% |
9652
775.7 IPS |
|
|
Face Detection (SP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (Q)
|
97% |
23187
276.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9399
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1472
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
21285
169.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20609
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10787
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37195
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6794
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1862
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4448
89.4 IPS |
