tensorflow/benchmarks

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1148 stars · 623 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A benchmark framework for TensorFlow, containing PerfZero for running and reporting TensorFlow benchmarks and legacy CNN benchmark scripts for TensorFlow 1. It helps measure model training and inference performance across hardware setups.

Use cases

• benchmark tensorflow model performance
• measure gpu training throughput for deep learning models
• run automated performance regression tests for tensorflow
• compare cnn benchmark results across hardware
• track tensorflow performance over time

When to choose

• you need to benchmark TensorFlow model performance on GPUs or TPUs
• you want an automated framework for performance regression tracking
• you need reproducible CNN benchmark results for TensorFlow 1

When to avoid

• you benchmark PyTorch or other non-TensorFlow frameworks
• you need maintained CNN benchmarks for TensorFlow 2 (tf_cnn_benchmarks is unmaintained)
• you want general-purpose microbenchmarking of arbitrary Python code

Facets

framework · maturity maintenance

benchmarking machine-learning deep-learning machine-learning deep-learning performance developer-tools python tensorflow perfzero cnn-benchmarks performance-measurement gpu-benchmarking gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tensorflow/benchmarks")