Intel(R) Client Systems NUC8i7BEH
Geekbench AI Score
1124
Single Precision Score
1119
Half Precision Score
582
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | fishbulb59 |
| Upload Date | November 09 2025 08:42 PM |
| Views | 3 |
| Notes | nuc8, cpu only |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8559U |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| 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 | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (Q)
|
99% |
409
76.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
1325
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
975
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (Q)
|
85% |
400
32.2 IPS |
|
|
Face Detection (SP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
834
9.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
1416
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1404
10.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
782
7.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1770
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1749
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2049
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
776
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
312
419.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (Q)
|
58% |
264
6.20 IPS |
