Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
4751
Single Precision Score
1077
Half Precision Score
10121
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | daniel-baumann |
| Upload Date | June 29 2025 02:41 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% |
2908
540.7 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
97% |
9239
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
5060
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8333
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
29155
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3002
238.1 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.4 IPS |
|
|
Object Detection (Q)
|
86% |
8540
686.3 IPS |
|
|
Face Detection (SP)
|
100% |
5274
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (Q)
|
97% |
23598
281.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9438
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1439
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
20732
165.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20481
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10469
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36979
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6649
246.2 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2005
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4021
80.8 IPS |
