Intel(R) Client Systems NUC8i5BEH
Geekbench AI Score
1349
Single Precision Score
1330
Half Precision Score
1920
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rock1982 |
| Upload Date | March 21 2025 01:54 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8259U CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC8i5BEH |
| Motherboard | Intel Corporation NUC8BEB |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8259U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
464
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
100% |
764
142.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1006
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1670
1.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
3163
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
87% |
1329
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
3563
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2174
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2216
17.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
3667
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4965
6.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4975
6.39 IPS |
|
|
Style Transfer (Q)
|
98% |
8668
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1864
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
659
879.0 IPS |
|
|
Text Classification (Q)
|
91% |
641
861.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1563
26.9 IPS |
