Raspberry Pi 4

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (48 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  28 May 2020 4 repositories listed
  To enable low-latency inference on resource-constrained hardware platforms, we propose to design Hardware-Aware Transformers (HAT) with neural architecture search.
• EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model
  6 Jun 2025 1 repository listed
  Our findings emphasize the importance of efficient profiling tailored to lightweight LLMs in edge environments, balancing accuracy, energy efficiency, and computational feasibility.
• TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
  10 Jan 2025 1 repository listed
  Designing efficient neural networks for embedded devices is a critical challenge, particularly in applications requiring real-time performance, such as aerial imaging with drones and UAVs for emergency responses.
• A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
  25 Jun 2024 1 repository listed
  State-of-the-art RSs primarily depend on categorical features, which ecoded by embedding vectors, resulting in excessively large embedding tables.
• SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers
  7 Nov 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  For the first time, it achieves an ImageNet-1K top-1 accuracy of around 80% at a speed of 1.
• M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
  6 Sep 2023 1 repository listed
  Medical image segmentation relies heavily on large-scale deep learning models, such as UNet-based architectures.
• Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices
  18 Jan 2023 1 repository listed
  In this research work, we have proposed a thermal tiny-YOLO multi-class object detection (TTYMOD) system as a smart forward sensing system that should remain effective in all weather and harsh environmental conditions…
• SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers
  29 Nov 2022 1 repository listed
  Fine-tuning pre-trained language models (PLMs) achieves impressive performance on a range of downstream tasks, and their sizes have consequently been getting bigger.
• LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices
  2 Sep 2022 1 repository listed
  Notably, our solution named LiteDepth ranks 2nd in the MAI&AIM2022 Monocular Depth Estimation Challenge}, with a si-RMSE of 0.
• ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections
  9 Jan 2022 1 repository listed
  However, this compression method may result in a decrease in the model accuracy and an increase in the parameters and model size.
• BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram
  29 Nov 2021 1 repository listed
  Blood pressure (BP) is one of the most influential bio-markers for cardiovascular diseases and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent of medical complications.
• Motion Detection using CSI from Raspberry Pi 4
  17 Nov 2021 1 repository listed
  This system exploits the correlation between CSI frames, on which we perform variance analysis using our algorithm to accurately measure the full period of a resident's movement.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.