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Data Science AnalyticsTop 10 Best Cpu Performance Test Software of 2026
Ranked roundup of top cpu performance test software tools with evaluation notes and tradeoffs for PC tuning, including PassMark PerformanceTest.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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UL Procyon is the best fit when your hardware lab needs repeatable CPU benchmark runs with comparable result packages across builds, whereas PassMark PerformanceTest works best if you want standardized synthetic Windows CPU throughput comparisons across machines.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
UL Procyon
Benchmarking portal result packaging links each Geekbench, Cinebench, and PassMark run to execution context.
Best for: Fits when hardware labs need repeatable CPU benchmark runs and comparable result packages across builds.
PassMark PerformanceTest
Editor pickPer-test result reporting with an export-friendly workflow designed for repeatable CPU validation runs.
Best for: Fits when standardized synthetic CPU throughput comparisons are needed across Windows lab machines.
Prime95
Editor pickFFT-focused stress profiles that keep the CPU saturated for hours to reveal instability under sustained compute pressure.
Best for: Fits when CPU stability and sustained thermal response validation matter more than benchmark scoring.
Comparison Table
UL Procyon
enterpriseProfessional benchmark suite that includes CPU-centric office productivity and AI performance tests for modern PCs.
Benchmarking portal result packaging links each Geekbench, Cinebench, and PassMark run to execution context.
UL Procyon centers on consistent benchmark execution and controlled measurement capture, with a workflow that ties a test run to a result package. The benchmarking.ul.com interface supports running well-known CPU suites and collecting the output needed for cross-device comparison. Governance-style controls appear in the way results are organized by project and stored with execution context.
A practical tradeoff is that tight benchmark repeatability depends on disciplined environment setup, since the test suites capture system behavior and thermals. UL Procyon fits best for lab teams that need repeat runs for Geekbench, Cinebench, and PassMark results across many candidate hardware configurations.
- +Result packages retain run context for interpreting cross-system differences
- +Benchmark suite coverage aligns with Geekbench, Cinebench, and PassMark workflows
- +Web portal organizes execution history for multi-system comparisons
- +Repeat-run execution helps assess benchmark variance under similar settings
- –Getting stable results still requires careful system setup discipline
- –Advanced analysis depth beyond published benchmark scores is limited in the portal view
Hardware validation teams
Compare candidate CPUs on repeat runs
Faster hardware selection
Benchmarking lab operators
Track run history across systems
Reduced manual recordkeeping
Show 1 more scenario
Enterprise procurement analysts
Summarize CPU performance evidence
More consistent purchase decisions
Uses standardized suite outputs to generate comparable CPU performance evidence across device options.
Best for: Fits when hardware labs need repeatable CPU benchmark runs and comparable result packages across builds.
PassMark PerformanceTest
SMBWindows benchmarking software that measures CPU speed with focused processor tests and a large comparison database.
Per-test result reporting with an export-friendly workflow designed for repeatable CPU validation runs.
PassMark PerformanceTest suits IT teams, hardware buyers, and lab engineers who need a quick CPU comparison workflow with a fixed test menu. It provides per-test reporting for CPU math, single-thread and multi-thread behavior, and memory-related measurements, which makes it easier to spot anomalies between platforms. The results layout is oriented around pass-fail style comparison of numeric outputs rather than deep profiling, so it fits benchmarking runs where time matters.
A key tradeoff is that it does not provide instruction-level profiling or cache-level instrumentation, so it cannot explain performance causes beyond the benchmark deltas. It fits a situation where a standardized microbenchmark suite is needed for fleet refresh decisions, burn-in sanity checks, or validating whether a new BIOS or scheduler setting changes sustained CPU throughput.
- +Clear, structured CPU test suite with per-run numeric breakdown
- +Configurable test selection supports repeatable lab workflows
- +Exportable results make cross-machine comparisons easier
- +Stable Windows-focused operation for routine hardware validation
- –No instruction-level profiling or root-cause explanation tooling
- –Best for synthetic throughput checks, not real workload replay
- –Limited control for advanced platform topology testing
IT hardware procurement teams
Compare CPU options before deployment
Faster shortlist decisions
Lab engineers
Verify BIOS or driver changes
Regression detection for changes
Show 2 more scenarios
System integrators
Validate build consistency
Reduced RMA risk
Use a fixed benchmark configuration to catch outlier machines after assembly and imaging.
Performance QA teams
Gate hardware acceptance checks
More consistent acceptance
Apply threshold-style review of suite outputs to accept or reject candidate hardware.
Best for: Fits when standardized synthetic CPU throughput comparisons are needed across Windows lab machines.
Prime95
vertical specialistLong-running CPU stress and torture testing software widely used to validate processor stability under sustained load.
FFT-focused stress profiles that keep the CPU saturated for hours to reveal instability under sustained compute pressure.
Prime95 is built around stress testing profiles that can run for hours while continuously driving arithmetic units and memory pathways. Users can select specific test modes, set worker threads, and run across multiple CPUs or cores to study per-core scaling behavior under sustained load. Command-line flags and configuration options support automation for repeat runs and baseline platform calibration workflows. The interface prioritizes stress verification over normalized reporting, so it does not target Geekbench, Cinebench, or PassMark style result publication.
The main tradeoff is that Prime95 stress tests do not map 1:1 to interactive desktop workloads or to instruction mix from common benchmark suites. It fits best in a stability and thermal-throttling detection workflow where sustained all-core load reveals marginal settings, cooling limits, and frequency stability under AVX-style pressure. A typical usage situation is validating an overclock or firmware update by running the same test profile for a fixed duration and comparing pass or failure outcomes.
- +Configurable sustained load with repeatable stress profiles
- +Supports per-core worker selection for scaling and contention checks
- +Long runtimes expose thermal throttling and instability patterns
- +Command-line flags enable scripted repeat runs
- –Does not generate Geekbench, Cinebench, or PassMark style scores
- –Tuning thread counts requires CPU topology awareness
- –Output is geared to pass or fail rather than comparative charts
- –Less useful for workload replay and trace-based realism
Overclockers and validation labs
Run stability checks after BIOS changes
Stable settings confirmed
IT hardware qualification teams
Screen batches for cooling weaknesses
Failing units identified
Show 2 more scenarios
Performance engineers
Assess sustained all-core frequency stability
Thermal margin understood
Track pass or fail behavior while observing how sustained load holds clocks and stability.
Home lab builders
Validate new CPUs before real use
Early failure avoided
Run long compute stress to catch marginal hardware behavior before installing production workloads.
Best for: Fits when CPU stability and sustained thermal response validation matter more than benchmark scoring.
Geekbench
SMBCross-platform benchmark software that produces single-core and multi-core CPU scores for desktops, laptops, and mobile devices.
Cross-platform Geekbench results publishing links with device and platform metadata to support run-to-run context.
Geekbench provides a CPU microbenchmark suite with published benchmark scores and a mobile and desktop test workflow designed for comparable runs. The core capabilities center on repeatable single-core and multi-core measurements plus workload selection across integer and floating-point paths.
- +Repeatable single-core and multi-core scoring with consistent test harness
- +Cross-platform workflow for comparing desktop and mobile CPU generations
- +Rich system metadata attached to results to contextualize differences
- +Clear reporting for multi-thread scaling behavior across common workloads
- –Synthetic workload profile can diverge from real application bottlenecks
- –Limited coverage of platform power and thermal ramp dynamics
- –Variance between runs can require tighter baseline platform calibration for audits
- –No first-party automation API surface for fleet benchmarking at scale
Best for: Fits when teams need consistent CPU scoring for comparisons and regression tracking across hardware generations.
AIDA64
SMBSystem diagnostics and benchmarking suite with dedicated CPU, FPU, cache, and memory performance tests.
Integrated stress testing with real-time hardware sensor logging in the same run session.
AIDA64 runs CPU and system benchmark and diagnostics in a single workflow, with detailed sensor logging during stress testing and performance runs. It provides instruction-level CPU feature reporting, cache and memory subsystem checks, and sustained load validation through configurable stress targets.
- +Concurrent stress and sensor logging for repeatable thermal behavior tracking
- +Detailed CPU feature and topology reporting for platform normalization
- +Configurable benchmark length and workload selection for sustained comparisons
- +Exportable results support repeat-run baselines across Geekbench-like sessions
- –Manual run setup is slower than dedicated microbenchmark suites
- –Benchmark set focuses more on diagnostics and platform checks than single-score ranking
- –Automation requires scripting discipline to keep configurations consistent
- –Sensor interpretation demands attention to sampling intervals and run phases
Best for: Fits when lab teams need repeatable CPU and platform diagnostics during sustained performance runs and stress phases.
Novabench
SMBLightweight benchmark software for Windows and macOS that includes CPU performance scoring and system comparisons.
Auto-generated run reports with sortable history for CPU score comparisons across repeated tests.
Novabench provides a quick CPU performance test focused on repeatable synthetic workloads and easy result comparison across runs. The test suite outputs Geekbench, Cinebench, and PassMark-style visibility into multi-core and single-core behavior using fixed benchmark workloads and a consistent reporting layout.
- +Fast one-click runs that complete without manual tuning
- +Consistent scoring layout for single-core and multi-core comparisons
- +Run history and exportable reports support internal tracking
- +Good baseline signal for CPU regressions after updates
- –Limited automation depth versus tools with scripted benchmark harnesses
- –Few controls for workload shaping and thermal or frequency ramp analysis
- –Not designed for instruction-path testing like AVX-512 workload control
- –Results provide less evidence for sustained all-core load behavior
Best for: Fits when teams need quick, repeatable CPU scores and simple run comparisons without custom benchmark orchestration.
OCCT
SMBStability and stress testing software with CPU load tests, monitoring, and error detection features.
Integrated sensor logging synchronized with OCCT CPU workloads, making throttling and instability signals visible in one run.
OCCT distinguishes itself by bundling repeatable CPU and stability stress tests with a built-in sensor logger and workload selection that targets both throughput and corner-case behavior. The suite can run sustained all-core load, mixed integer and floating workloads, and memory pressure tests while capturing temperatures, voltages, and error signals. It also provides a job-style run interface for repeat trials, plus a configuration set that supports automation through command-line usage for scheduled benchmarking runs.
- +Sensor logging during stress runs ties performance drops to thermals and power
- +Multiple CPU workload modes make it easier to test different bottlenecks
- +Repeatable settings help reduce benchmark variance across reruns
- +Command-line execution supports scripted test schedules
- –Results are less standardized than Geekbench, Cinebench, and PassMark score formats
- –Run scheduling and reporting automation are lighter than full lab-style harnesses
- –Advanced platform-specific views for NUMA and topology are limited
- –Hardware error handling signals are not a substitute for full OS-level telemetry
Best for: Fits when CPU stability testing and sensor-correlated stress runs matter more than standardized public scores.
SPEC CPU Benchmark Suite
enterpriseA standardized processor benchmark suite for integer and floating-point workload measurement.
Published, rule-bound benchmark submission workflow with fixed build and run requirements for cross-system result integrity.
SPEC CPU Benchmark Suite is distinct for being a published, standardized CPU benchmark program maintained for cross-system comparability. It delivers multiple benchmark families that stress compiler flag normalization and sustained compute behavior across integer and floating-point workloads.
- +Published methodology and run rules support repeatable CPU-only comparisons
- +Multiple integer and floating-point suites cover different optimization paths
- +Well-defined build steps reduce compiler-flag drift in submissions
- +Comparable results can be validated against published reference numbers
- –Benchmark setup requires strict environment control and careful build discipline
- –Hardware and OS tuning can dominate scores, especially for sustained load behavior
- –Automation and APIs for custom orchestration are limited compared with CI-native tools
- –Workload selection is CPU-centric, not designed for end-to-end application profiling
Best for: Fits when teams need standardized CPU benchmark comparability with compiler and platform controls.
CPU-Z
consumerA hardware identification utility with a processor benchmark and stress-test module.
Fine-grained CPU, cache, and platform attribute reporting that helps validate baseline conditions before benchmark runs.
CPU-Z from cpuid.com performs repeatable CPU identification and microarchitecture sanity checks with a detailed live hardware readout. It reports core, thread, clock, cache topology, chipset, memory type, and firmware-related fields like microcode and platform attributes.
- +Extensive CPU and cache detail suitable for verifying what benchmarked hardware ran
- +Lightweight GUI with fast refresh for quick inspection during benchmark iterations
- +Clear reporting of core clocks and platform attributes that affect performance interpretation
- +Widely used reference for sanity checks of CPU model, stepping, and memory configuration
- –No built-in synthetic benchmark runner comparable to Geekbench, Cinebench, or PassMark
- –Limited control over benchmark workload, measurement methodology, and run-to-run variance
- –Automation and API surface are not designed for benchmarking pipelines or CI governance
- –Thermal throttling and sustained load behavior require separate tools and manual correlation
Best for: Fits when benchmarking requires fast, accurate hardware identification to interpret results.
Blender Benchmark
vertical specialistA rendering benchmark that measures CPU performance through standardized Blender workloads.
Benchmark scene execution that measures Blender’s CPU render performance with consistent workload definitions.
Blender Benchmark is a CPU performance test built around Blender’s rendering workloads, which makes it distinct from synthetic CPU microbenchmarks. It runs reproducible Blender scenes and reports timing and throughput-style results that align with render-oriented CPU behavior.
- +Uses real Blender render workloads instead of synthetic integer suites
- +Produces repeatable run timing tied to specific scene workloads
- +Works with CPU configurations similar to common Blender usage
- +Easy to compare CPUs using consistent scene execution
- –Limited control over compiler flag normalization and benchmark instrumentation
- –CPU results can mix core scheduling and memory effects without per-subsystem granularity
- –Less direct mapping to Geekbench, Cinebench, or PassMark score breakdowns
- –Not designed for thermal throttling detection runs with ramp profiling
Best for: Fits when CPU comparisons need Blender-aligned render workload timing across similar systems.
Conclusion
After evaluating 10 cpu performance test software, UL Procyon stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Cpu Performance Test Software
CPU performance test software covers synthetic throughput tests, public-score benchmarking flows, and stress or diagnostic runs that connect CPU behavior to thermals and platform sensors. This buyer’s guide covers UL Procyon, PassMark PerformanceTest, Prime95, Geekbench, AIDA64, Novabench, OCCT, SPEC CPU Benchmark Suite, CPU-Z, and Blender Benchmark.
The tools vary most in how they package Geekbench, Cinebench, and PassMark style results, how they correlate performance drops with sensor telemetry, and how much automation and repeatability the test harness supports. The comparison also reflects what each tool does not provide, including instruction-level profiling and real application workload replay.
CPU Performance Test Software for comparable results across Geekbench, Cinebench, and PassMark
CPU performance test software runs CPU workloads that produce comparable metrics for planning upgrades, catching regressions, and validating stability under sustained compute. Geekbench supports repeatable single-core and multi-core scoring with a cross-platform workflow that preserves device and platform metadata for run-to-run context.
UL Procyon focuses on benchmarking portal packaging that links Geekbench, Cinebench, and PassMark runs to the execution context needed to interpret differences across builds. Other tools such as Prime95 or AIDA64 shift emphasis toward sustained stress and platform diagnostics where the goal is thermal behavior and stability validation rather than producing publish-style benchmark scores.
CPU benchmark packaging, sensor correlation, and repeatability controls
CPU performance test software only helps planning and regression work when results stay interpretable across runs, builds, and machines. That requires consistent harness behavior, result packaging that preserves execution context, and a way to connect score changes to thermals and power behavior.
Across Geekbench, Cinebench, and PassMark workflows, the biggest differentiator is how each tool packages outputs and how tightly it couples workloads to sensor logging. UL Procyon focuses on benchmark portal packaging that links those public-style runs to execution context, while AIDA64 and OCCT keep sensor telemetry synchronized with CPU stress phases in the same run session.
Benchmark result packaging with execution context links
UL Procyon packages Geekbench, Cinebench, and PassMark runs so the result set stays tied to the execution context used for that run. Geekbench and Blender Benchmark can preserve platform metadata, but they do not provide the same cross-tool packaging workflow across the three public-style suites.
Export-friendly per-run validation reporting
PassMark PerformanceTest provides per-test numeric breakdowns designed for export-friendly repeatable CPU validation runs on Windows lab machines. UL Procyon also targets comparable packages, but PassMark emphasizes structured synthetic throughput validation rather than portal-style cross-suite context packaging.
Thermal and stability correlation during sustained CPU load
AIDA64 and OCCT synchronize sensor logging with the CPU stress workload so performance drops can be tied to thermals and power behavior during the same session. Prime95 targets sustained FFT saturation for instability discovery, but it does not generate Geekbench, Cinebench, or PassMark style scores.
Workload shaping and processor-topology-aware stress control
Prime95 supports configurable sustained load with per-core worker selection for scaling and contention checks, which helps isolate behavior changes across core layouts. OCCT offers multiple CPU workload modes with sensor-correlated runs, but its benchmark formats are less standardized than Geekbench, Cinebench, and PassMark score formats.
Strict benchmark methodology for compiler and environment control
SPEC CPU Benchmark Suite enforces rule-bound benchmark submissions with fixed build and run requirements for cross-system result integrity. Blender Benchmark uses real Blender render workloads for repeatable timing, but it does not normalize compiler flags and instrumentation as tightly for CPU-only comparison.
Choose a workflow style based on score comparability and root-cause needs
CPU performance test software choices cluster into two workflows. One workflow prioritizes publish-style comparability across Geekbench, Cinebench, and PassMark style outputs, and the other prioritizes stress behavior plus sensor correlation for stability and throttling evidence.
UL Procyon fits lab teams that want consistent packaging across the three public-style suites, while Prime95, AIDA64, and OCCT fit teams that need sustained all-core load behavior tied to sensor telemetry rather than only publishable scores.
Match the output goal to a public-score packaging requirement
If the goal is comparable results across Geekbench, Cinebench, and PassMark style runs with execution context preserved, UL Procyon aligns with that cross-suite packaging workflow. If the goal is structured synthetic CPU throughput comparison on Windows lab machines, PassMark PerformanceTest provides per-run numeric breakdowns focused on repeatable validation.
Add sensor-correlation only when throttling and stability evidence matter
If performance drops must be tied to thermals and power during the same run, AIDA64 and OCCT provide sensor logging synchronized with their CPU workloads. If the priority is long-duration sustained compute instability detection, Prime95 provides repeatable FFT stress profiles designed to keep CPUs saturated for hours.
Pick a workload philosophy: sustained stress versus benchmark harness scoring
Prime95 and OCCT emphasize multiple stress modes where workload behavior is the primary signal, and both tools focus on stability and correlated sensor signals rather than standardized public-score formats. Geekbench and Blender Benchmark emphasize harness-defined workloads and timing consistency, but they can diverge from real application bottlenecks or omit per-subsystem granularity.
Use SPEC CPU when compiler and platform discipline drives the decision
When cross-system comparability depends on fixed build and run rules, SPEC CPU Benchmark Suite supports repeatable CPU-only comparisons by enforcing benchmark methodology. For hardware identification and baseline validation before runs, CPU-Z supplies cache and platform detail that helps confirm what ran, even though it does not include a built-in synthetic benchmark runner.
Decide how much automation depth is required for repeated runs
If quick one-click runs with sortable history are enough, Novabench emphasizes fast repeatable CPU score comparisons with consistent scoring layouts. If scripted benchmark harness behavior, repeatable execution context packaging, or richer run packaging is required, UL Procyon and PassMark PerformanceTest better fit the repeatability and report-structure expectations.
Who should use CPU Performance Test Software
Hardware labs, OEM validation groups, and fleet test teams often need repeatable CPU throughput scoring plus evidence that performance drops map to thermals, power limits, or instability behavior. The best fit depends on whether deliverables center on Geekbench, Cinebench, and PassMark style comparability or on sustained stability and sensor-correlated troubleshooting.
The following segments map common deliverables to the tools that most directly support them, including UL Procyon for cross-suite packaging and Prime95 and AIDA64 for sustained stress with correlated diagnostics.
Performance validation labs running Geekbench, Cinebench, and PassMark on multiple builds
UL Procyon ties Geekbench, Cinebench, and PassMark run results to the execution context used for that run, which keeps cross-build comparisons interpretable.
Windows test teams focused on synthetic CPU throughput validation
PassMark PerformanceTest provides configurable test selection and export-friendly per-test reporting designed for repeatable CPU validation runs across lab machines.
Stability and throttling verification teams executing long-duration stress
Prime95 supplies sustained FFT stress profiles and per-core worker selection for scaling and contention checks, while OCCT and AIDA64 add synchronized sensor logging in the same run session.
Benchmark methodology-driven teams needing rule-bound CPU comparisons
SPEC CPU Benchmark Suite supports fixed build and run requirements with multiple integer and floating-point suites, which is designed for compiler and platform discipline.
Teams that must confirm hardware identity and baseline conditions quickly
CPU-Z provides detailed CPU and cache attribute reporting to validate what hardware actually ran before interpreting benchmark outcomes from another tool.
Common pitfalls when buying CPU Performance Test Software
Buying errors usually come from selecting a tool for the wrong deliverable. Publish-style scores do not automatically validate stability, and sensor logging does not automatically provide comparable score formats across systems.
The pitfalls below map to recurring gaps between tools such as UL Procyon’s packaging focus and Prime95’s sustained FFT stress focus, as well as gaps like Blender Benchmark’s limited compiler-flag normalization.
Assuming Geekbench-style scoring covers sustained throttling and instability evidence
Geekbench emphasizes repeatable scoring harness behavior, but it offers limited coverage of platform power and thermal ramp dynamics, so sustained stability evidence usually needs Prime95, AIDA64, or OCCT.
Buying a stress tool without a cross-suite result packaging workflow
Prime95 targets FFT-focused stability under sustained load and does not generate Geekbench, Cinebench, or PassMark style scores, so teams needing cross-suite comparability often add UL Procyon or PassMark PerformanceTest.
Overlooking workload-to-application alignment when choosing a real-workload benchmark
Blender Benchmark uses Blender render workloads instead of synthetic integer suites, but it lacks controls for compiler flag normalization and per-subsystem instrumentation, so it can mix core scheduling and memory effects.
Skipping environment validation before running repeat benchmarks
CPU-Z helps validate CPU, cache, and platform attributes before interpreting benchmark results, while tools that focus on benchmark execution without baseline verification can mislead when hardware identification changes between runs.
How We Selected and Ranked These Tools
We evaluated UL Procyon, PassMark PerformanceTest, Prime95, Geekbench, AIDA64, Novabench, OCCT, SPEC CPU Benchmark Suite, CPU-Z, and Blender Benchmark using feature coverage that supports Geekbench, Cinebench, and PassMark workflows, plus sensor correlation for throttling and stability evidence. Features scored 40%, while ease and value each scored 30% based on how repeatable runs stay and how quickly teams can get consistent result packaging for repeated CPU validation.
UL Procyon ranked highest because its benchmark portal result packaging links Geekbench, Cinebench, and PassMark runs to the execution context used for that run, which reduces ambiguity when comparing builds. Across the set, Prime95 and OCCT scored lower on standardized public score packaging because they prioritize sustained stress behavior and sensor-correlated instability signals over publish-style score formats.
Frequently Asked Questions About Cpu Performance Test Software
How do UL Procyon, PassMark PerformanceTest, and OCCT differ when the goal is repeatable CPU throughput runs?
Which tool provides publishable Geekbench, Cinebench, and PassMark aligned results with run context?
How should a lab validate sustained all-core behavior versus short benchmark scoring when comparing Geekbench and AIDA64?
What breaks if Prime95 is used as the only method for comparing Geekbench or PassMark scores across systems?
When does SPEC CPU Benchmark Suite become the better choice than synthetic throughput suites in PassMark PerformanceTest?
How do CPU-Z and Blender Benchmark work together in a CPU evaluation workflow?
Which tool is more appropriate for sensor-correlated stress runs where temperatures, voltages, and error signals must be captured during the workload?
How do integration and automation options differ between Novabench and OCCT for repeated lab runs?
What data migration problem commonly appears when standardizing benchmark outputs from Geekbench and AIDA64 across teams?
Where does Geekbench fall short compared with Blender Benchmark when the evaluation target is render workload behavior?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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