Intel(R) Client Systems NUC13RNGi7
Geekbench AI Score
2468
Single Precision Score
3750
Half Precision Score
5851
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC13RNGi7 |
| Motherboard | Intel Corporation NUC13SBBi7 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
2627
488.5 IPS |
|
|
Image Classification (Q)
|
99% |
4063
757.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4025
65.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4633
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4300
5.02 IPS |
|
|
Pose Estimation (HP)
|
99% |
3132
3.65 IPS |
|
|
Pose Estimation (Q)
|
97% |
12862
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.7 IPS |
|
|
Object Detection (HP)
|
98% |
2349
186.9 IPS |
|
|
Object Detection (Q)
|
90% |
4414
352.9 IPS |
|
|
Face Detection (SP)
|
100% |
5144
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
7940
94.3 IPS |
|
|
Face Detection (Q)
|
100% |
10538
125.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5056
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7924
61.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11770
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11209
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16686
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28527
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2986
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5651
209.3 IPS |
|
|
Text Classification (SP)
|
71% |
797
1.15 KIPS |
|
|
Text Classification (HP)
|
71% |
952
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
921
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2369
40.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2393
41.2 IPS |
