Intel(R) Client Systems NUC10i3FNH
Geekbench AI Score
1188
Single Precision Score
1184
Half Precision Score
1883
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | evodomgeek |
| Upload Date | May 11 2025 03:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10110U CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Intel(R) Client Systems NUC10i3FNH |
| Motherboard | Intel Corporation NUC10i3FNB |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10110U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
709
131.8 IPS |
|
|
Image Classification (Q)
|
100% |
1136
211.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1249
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1391
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1386
1.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
2739
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
87% |
1239
99.4 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
2992
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1814
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1697
13.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
2981
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3863
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3980
5.12 IPS |
|
|
Style Transfer (Q)
|
98% |
7651
9.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1597
59.1 IPS |
|
|
Text Classification (SP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (Q)
|
91% |
738
991.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1448
24.9 IPS |
