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Changelog

Intel® ESQ changelog and version history.

Version 2026.2.0 - June 2026

New Platform Support

  • Intel® Core™ Series 3 Processor, Products formerly Wildcat Lake

Changes

  • Integrated the latest Intel® DL Streamer with Metro test suites
  • Updated reference values for Metro test suites
  • Resolved zero stream reporting in Proxy VSaaS dGPU/iGPU
  • Fixed proxy test display checks failing based only on socket existence
  • Eliminated data duplication in the Media Decode and Decode+Compose CSV file
  • Fixed GPU frequency telemetry runtime data incorrectly matching reference data
  • Fixed Media/Proxy test runtime GPU/Package values being overwritten with reference values
  • Fixed proxy test cases returning no valid results in PTL/MTL when NPU is part of the pipeline
  • Fixed unsupported platform detection for Intel® Xeon® 6 Processors workstations
  • Fixed GenAI qualification handling for Intel® Core™ Ultra Desktop SKU for NPU
  • Removed the status column from the KPI table in the qualification report
  • Fixed multi-device test cases caching invalid -1 results
  • Fixed the highest performance result in GenAI qualification not showing as a key metric
  • Fixed intermittent Vision AI dGPU qualification failures caused by -1 or low stream results
  • Added a flag to esq clean to remove related container images
  • Added installed RAM module, channel, and speed information to reports
  • Fixed hardware info cache not always updating after hardware changes
  • Enabled reports to display test descriptions
  • Integrated the Wind Turbine Anomaly Detection time series AI sample app
  • Updated the key latency metric name for the Loss Prevention VLM test suite
  • Added modular telemetry support in the test framework
  • Updated B60 Gen AI verified reference data
  • Integrated Allure3* development workflow
  • Updated ONNX*, requests, pygments, and Transformers* packages
  • Added support for OpenVINO™ toolkit 2026.1 in the qualification test suite
  • Added full system telemetry during analysis

Known Issues

  • Cluttered download progress logs caused by a duplicate download function
  • GPU utilization and Package Power are not consistent with Linux* kernel 6.14
  • GitHub* resource download intermittently fails from the PRC network
  • Intel® DL Streamer pipeline instability causes timeouts and underreports dGPU stream performance
  • Redundant file detection in the Metro Media test case due to file copy during test/build
  • Pexels* video download intermittently fails from the PRC network
  • Memory is not released after Vision AI test cases complete on Panther Lake (PTL) systems
  • Intel® Core™ Ultra Processor (Series 3) may report lower performance due to Balanced power mode default on Ubuntu* 24.04
  • Gen-AI qualification tests may sometimes fail on systems with dual B60 GPUs
  • Vision-AI qualification tests may sometimes fail on systems with dual B60 GPUs
  • Qmassa Collector fallback logic incorrectly references a sysfs metric source

Version 2026.1.0 - March 2026

New Platform Support

  • Intel® Core™ Ultra Processors (Series 3), Products formerly Panther Lake
  • Intel® Core™ Processors (Series 2), Products formerly Bartlett Lake
  • Intel® Xeon® 6 Processors, Products formerly Granite Rapids

Changes

  • Enabled Verified Reference Blueprints (VRB) data on Intel® ESQ Report
  • Enhanced OpenVINO™ Model Server (OVMS) with version 2025.4.1 for Gen AI workloads
  • OpenVINO toolkit 2025.3.0 support for Vision AI related Test Suite
  • Platform power configuration in report generation
  • Configurable sink element and consecutive timeout threshold for DL Streamer pipeline
  • New supported qualification platform detection logic
  • New retail-focused pipeline - Loss Prevention VLM
  • Enabled ModelScope download source support
  • New Metro vertical profile with proxy workload coverage for LPR, Smart NVR, headed Visual AI, and VSaaS pipelines
  • New Horizontal suites: Vision OpenVINO, System GPU OpenVINO, Media Performance, and Video Analytics
  • Enabled Metro execution with automatic dependent suite execution
  • AI Frequency long run test suite integration
  • Generic GPU required flag support in system validator
  • Enabled display mode by default for media & proxy test cases
  • Updated iGPU/dGPU ID lookup table with latest hardware IDs
  • Enhanced container security with cap_add parameter exposure
  • Enabled new horizontal test cases for Edge Workloads and Benchmarks Pipelines
  • Enhanced CPU streams handling to prevent drops due to CPU scaling logic
  • Updated qualification model for scalable performance tier with DeepSeek-R1-Distill-Qwen-14B
  • Increased default test execution timeout value to 640 minutes
  • Fixed vision AI dGPU pipeline timeout when iGPU is disabled
  • Improved cache reuse for multi-device DL Streamer analysis
  • Enhanced multi-device max streams metric population for multi-socket CPUs
  • Fixed dGPU performance optimization to exceed iGPU performance
  • Addressed protobuf JSON recursion depth bypass vulnerability
  • Fixed Pillow version security vulnerability
  • Enhanced resource download failure handling and error management
  • Fixed PDD model download failure and performance optimization

Known Issues

  • DL Streamer dGPU test cases use Intel® DL Streamer 2025.1.2 with OpenVINO™ 2025.2.0, while CPU and NPU tests use the newer OpenVINO™ 2025.3.0 version
  • GPU utilization and package power monitoring may show inconsistent readings on Ubuntu* 24.04.3 systems with Linux* kernel 6.14
  • Metro proxy pipeline test case generates excessive download progress log output
  • Metro proxy pipeline intermittently report zero stream counts across different display environments
  • Metro proxy pipeline and System GPU OpenVINO test cases use reference data when runtime telemetry is unavailable
  • LPR proxy pipeline fails to execute on Panther Lake NPU devices
  • Media Performance encode and decode test cases produce duplicate results in CSV table
  • Vision AI test cases run concurrently on all devices (dGPU/iGPU/CPU/NPU), while Verified Reference data test cases run on individual components. This will be fixed in the next release.
  • Gen AI test cases running on NPU with Intel® Core™ Ultra Processors (Series 2) may fail if throughput drops below the 10 token/s threshold. This will be fixed in the next release.
  • Workstation segment Intel® Xeon® 6 Processors are incorrectly excluded from AI Edge System Qualification test execution.

Version 2025.2.0 - December 2025

Features

  • New qualification profile with Gen AI and Vision AI test cases
  • New manufacturing-focused detection & classification pipelines
  • New retail-focused detection pipeline
  • New system memory test suites
  • CSV attachment visualization and improved vertical benchmarking sections
  • Support for versioned docs
  • Automatically execute prerequisite profiles
  • Extractor utility for Allure test results
  • Update CLI run command with opt-out prompt for vertical profiles
  • Enable multiple video format conversion including h265
  • Enable YOLO model export with dynamic shape and kagglehub resnet support
  • Enable DL Streamer pytest with configurable sync element for benchmarking analysis

Version 2025.1.0 - October 2025

New Features

  • Framework Revamp: Rebuilt Intel® ESQ with new, more robust architecture
  • GenAI Testing: New generative AI test suite for AI workload evaluation
  • VisionAI Testing: Comprehensive computer vision testing pipeline
  • System Detection: Automatic software configuration detection and reporting
  • Enhanced Logging: Detailed execution logs for each test module
  • Timeout Management: Automatic test termination when time limits are exceeded

Notes

This major release establishes the foundation for future Intel® ESQ development with breaking changes from previous versions.