benchcouncil Goto Github PK

agibench

AGIBench

ai.vs.clinician

aibench_application_benchmark

aibench application benchmark

aibench_framework

aibench framework

aibench_scenario

aibench_training_component

DC AIBench Component

aigcbench

Official repo for AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI

aiotbench

bench22

Bench conference encompasses a wide range of topics in benchmarking, measurement, evaluation methods and tools. Bench’s multi-disciplinary emphasis provides an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to discuss practical and theoretical work covering workload characterization, benchmarks and tools, evaluation, measurement and optimization, and dataset generation.

bigdatabench_v5.0_bigdata_componentbenchmark

BigDataBench V5.0 BigData ComponentBenchmark

bigdatabench_v5.0_bigdata_microbenchmark

BigDataBench V5.0 BigData MicroBenchmark

bigdatabench_v5.0_graph

BigDataBench V5.0 Graph

bigdatabench_v5.0_streaming

BigDataBench V5.0 Streaming

bigvectorbench

BigVectorBench advances vector database benchmarking by defining and evaluating the embedding performance of heterogeneous data and abstracting compound queries, which can be multimodal or single-modal with fine-grained restrictions, for real-world applications.

bridger

cmlcompiler

A Unified Compiler for Classical Machine Learning

containernet

dc_aibench_micro

DC AIBench Micro

dpubench

edge_aibench

Reference implementations of Edge AIBench

edge_aibench_v2.0

hpc-ai500

hpc-ai500-v3.0

ic-2023

IC conference is to provide a pioneering technology map through searching and advancing state-of-the-art and state-of-the-practice in processors, systems, algorithms, and applications for machine learning, deep learning, spiking neural network and other AI techniques across multidisciplinary and interdisciplinary areas.

iotbench

maxinet

Distributed Software Defined Network Emulation System

medical-sam-adapter

Adapting Segment Anything Model for Medical Image Segmentation

olxpbench

OLxPBench emphasizes that real-time queries, semantically consistent schema, and domain-specific workloads are essential in benchmarking, designing, and implementing HTAP systems.

snnbench

Spiking Neural Network Benchmarking

vc-medai