Intel(R) Client Systems NUC11TNHv5
Geekbench AI Score
945
Single Precision Score
893
Half Precision Score
2586
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 11:59 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1145G7 @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Intel(R) Client Systems NUC11TNHv5 |
| Motherboard | Intel Corporation NUC11TNBv5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145G7 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
595
110.6 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.1 IPS |
|
|
Image Classification (Q)
|
100% |
1741
323.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
943
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
3772
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.8 IPS |
|
|
Object Detection (Q)
|
88% |
1795
143.9 IPS |
|
|
Face Detection (SP)
|
100% |
1670
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (Q)
|
100% |
4420
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1447
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1390
10.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4833
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2735
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2825
3.63 IPS |
|
|
Style Transfer (Q)
|
98% |
10076
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
568
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
695
928.0 IPS |
|
|
Text Classification (HP)
|
100% |
697
930.5 IPS |
|
|
Text Classification (Q)
|
92% |
1367
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
100% |
951
16.4 IPS |
