Intel(R) Client Systems NUC8i7BEH
Geekbench AI Score
2374
Single Precision Score
2417
Half Precision Score
3343
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8559U CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC8i7BEH |
| Motherboard | Intel Corporation NUC8BEB |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8559U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.3 IPS |
|
|
Image Classification (Q)
|
100% |
2272
422.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2698
3.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
5081
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (Q)
|
87% |
2209
177.2 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
5774
68.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3411
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3386
26.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
3532
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6774
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
7878
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15266
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3094
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (Q)
|
91% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2644
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2640
45.5 IPS |
