Benchmarking#

ViPPET provides two benchmarking modes for evaluating AI inference pipeline performance on Intel® hardware:

  • Performance Testing — Run one or more pipelines with a fixed number of streams and measure throughput (FPS), system utilization, and optionally latency in real time.

  • Density Testing — Automatically find the maximum number of concurrent streams that maintain a target FPS floor, using an exponential-growth and binary-search algorithm. Density testing supports two modes:

    • Classic mode — All pipelines share a single search variable (total stream count) distributed according to per-pipeline stream_rate ratios.

    • Mixed mode — Exactly two pipelines: one is pinned to a fixed stream count, the other is incremented by the same algorithm. See Stream Density Testing for details.

Both modes share a common execution configuration and report results through the same job management system.

For detailed instructions, see:

Key concepts#

Concept

Description

Total FPS

Aggregate frames per second across all active streams

Per Stream FPS

Average FPS per individual stream (Total FPS ÷ stream count)

FPS Floor

Minimum acceptable per-stream FPS used as the pass/fail threshold in density testing

Stream Rate

Percentage of total streams allocated to each pipeline in classic density mode (must sum to 100%)

Fixed Streams

Pinned stream count for one pipeline in mixed density mode; the other pipeline is incremented by the search

Output Mode

Controls whether output video is saved to file, streamed live, or disabled

Latency Metrics

Optional end-to-end pipeline latency measurement (avg/min/max) reported per interval

Workflow overview#

  1. Configure — Select pipelines, set stream counts or density parameters, and choose output options.

  2. Run — Start the test; ViPPET creates a job and begins executing pipelines as subprocesses.

  3. Monitor — Real-time system metrics (CPU, GPU, NPU, memory, power) and pipeline metrics (FPS) are displayed in the dashboard while the job runs.

  4. Review results — When the job completes, view final FPS and output videos in the job detail view.