← all repositories
tensorflow/benchmarks

TensorFlow's benchmark graveyard and its one active project

A split repository where half the code is retired and the other half, PerfZero, still runs performance tests for TensorFlow models.

1.1k stars Python ML FrameworksLLMOps · Eval
benchmarks
Velocity · 7d
+0.3
★ / day
Trend
steady
star history

What it does This repo houses two things: PerfZero, a living benchmark framework for TensorFlow, and tf_cnn_benchmarks, a collection of TensorFlow 1 CNN benchmarks that is explicitly no longer maintained. The README nudges you toward TensorFlow Official Models if you actually want to run and measure things.

The interesting bit PerfZero appears to be the sole survivor—what the README calls “a benchmark framework” without elaboration, which is either confidence or brevity taken too far. The dead project lingers in the tree like a cautionary exhibit.

Key highlights

  • PerfZero: active benchmark framework for TensorFlow (details live in its subdirectory)
  • scripts/tf_cnn_benchmarks: TensorFlow 1 CNN benchmarks, explicitly unmaintained
  • README suggests TensorFlow Official Models as the preferred alternative for performance measurement
  • 1,147 stars suggest historical relevance more than current momentum

Caveats

  • The top-level README is thin; you must dig into the PerfZero subdirectory to understand what the framework actually does
  • One of the two listed projects is deprecated, which may confuse newcomers

Verdict Worth a look if you need to benchmark TensorFlow and want to evaluate whether PerfZero fits your workflow, but most developers should probably start with the TensorFlow Official Models instead.

heatdrop uses Google Analytics to see which pages get read — nothing else. Your call. How we handle data.