## Benchmark

Measure speech recognition, voice synthesis, and full conversation turns with the same local engines used by the app.

### Speech to Text benchmark

Run every selected STT endpoint against the same reference clip and compare speed, accuracy, model, and compute device.

Use voice library sample
Pick a library voice to use its WAV and reference transcript.
Audio (.wav or audio file)
Reference (.txt)
Reference text
STT engines No engines loaded.
Ready

Engine | Model | Device | Time | Accuracy | Output
--- | --- | --- | --- | --- | ---
Run a benchmark to see results.

## Run benchmark

Pick a backend and voice, set run count, then measure synthesis latency and real-time factor (RTF). RTF < 1.0 means the backend generates faster than real-time.

Text to Speech
Benchmark Options
Sample text Hello, how are you today? Please read this sample clearly for a fair voice benchmark.

## Results

Latency per run. RTF = synthesis time ÷ audio duration (lower is better, <1.0 is real-time capable).

vs. previous session:

# | Backend | Device | Voice | Latency (ms) | Audio (s) | RTF | Status
--- | --- | --- | --- | --- | --- | --- | ---

## Batch benchmark

Benchmark multiple voices in one run. Pre-populated from your active My Voices — or reload from the backend. Results are sorted fastest first and saved to History.

Text to Speech
Benchmark Options

Uses the sample text and Runs value from the single-voice form above. Check one voice, a few voices, or Select all, then run them together.

Benchmarking…

## Batch results

Sorted fastest Factor first. Green = faster than real-time (Factor > 1.0). Trend compares to the previous session.

Voice | Lang | Gender | Device | Latency | Best | Duration | Factor | Time | WPM | Status
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---

## History

Last 50 benchmark sessions saved in your browser. Each row is one run session — click the backend/voice to pre-fill the form above.

Show current backend & voice only
No benchmark history yet. Run a benchmark above to start tracking.

### Conversation turn benchmark

Runs the same STT → LLM → TTS pipeline as Conversation Playground and records turn latency.

Speech to Text
Language Model
Text to Speech
Turn audio (full STT → LLM → TTS)
Text fallback
System prompt You are a helpful voice assistant. Keep replies short and conversational.
Ready

Run a turn to see transcript, reply, and timing.

Latency
STT
—
LLM first token
—
LLM total
—
TTS
—
Total
—
Turn history
No turns yet.