Efficiency benchmarking only matters if it reflects real-world video transmission performance. That is the standard we are building at the Data Transmission Efficiency Alliance (DTEA).
This guide focuses on one thing: how DTEA measures success. Not vendor slides. Not cherry-picked wins. Not one metric in isolation. We measure whether a technology actually improves video delivery across quality, bitrate, compute, and operating conditions that matter in production.
If you want a clear way to evaluate codecs, delivery workflows, and transmission systems, this is the framework.
What DTEA Means by “Success”
At DTEA, success is not defined by a single percentage claim. A video transmission technology succeeds when it delivers:
- High visual quality
- Lower bandwidth use
- Reasonable compute cost
- Consistent results across different content types
- Performance that holds up at the target resolution and delivery scenario
That means DTEA does not score technologies on bitrate alone. We look at the full efficiency picture.
The Core Metrics DTEA Uses
DTEA measures video transmission performance with a multi-metric approach so no single score can hide a weakness.
- VMAF: This helps measure perceived visual quality in a way that aligns better with what viewers actually notice.
- SSIM: This adds structural quality analysis and helps confirm whether the encoded output preserves the image well.
- PSNR: This gives a baseline signal comparison and remains useful as part of a broader benchmark set.
- Bitrate: This shows how much data is required to reach a given quality level.
- Compute load: This captures the processing cost required to produce the result.
- Encoding density: This shows how many streams a system can support at scale.
No one metric decides the outcome. DTEA measures how these factors work together.
Why DTEA Uses More Than One Quality Metric
A codec can look strong in one metric and weak in another. That is why DTEA does not rely on a single score.
VMAF is important, but it is not enough by itself. SSIM and PSNR provide supporting context. When these metrics are reviewed together, it becomes easier to spot whether a claimed gain is real or whether a system has simply been tuned to perform well against one measurement method.
This matters because benchmarking should reflect actual delivery quality, not metric gaming.
How DTEA Tests Content
DTEA benchmarking uses a diverse content set because video transmission systems behave differently depending on the source material.
Our framework looks for performance across content such as:
- High motion scenes
- Dense textures
- Dark or low-contrast scenes
- Animation and clean-line content
- Content with fast scene changes
- Material that stresses compression in different ways
A technology does not pass because it performs well on easy clips. It has to perform across a balanced test set.
How DTEA Measures the Compute Side
Bandwidth savings are only part of the story. DTEA also measures the compute cost required to achieve those savings.
This includes:
- Processing demand
- Hardware versus software context
- Encoding throughput
- Operational scalability
A system that cuts bitrate but requires extreme compute resources may not be efficient in practice. DTEA treats compute as part of transmission success, not as a side note.
The DTEA Efficiency Triangle
DTEA evaluates every technology across three connected dimensions:
Quality, Bitrate, and Compute
If one improves while another collapses, the technology is not truly efficient. DTEA benchmarking is designed to expose those tradeoffs clearly.
How DTEA Handles Resolution and Use Case
Performance at one resolution does not guarantee performance at another. DTEA benchmarking is tied to the actual use case being tested.
That means results should reflect:
- The intended resolution
- The target delivery environment
- The expected viewer experience
- The operating conditions of the workflow
A solution built for mobile streaming should be judged in that context. A solution built for premium 4K delivery should be measured in that context. DTEA does not treat all scenarios as interchangeable.
The DTEA Benchmarking Process
Here is the simple version of how DTEA measures video transmission success:
-
Define the use case
We start with the real delivery scenario, including resolution, workflow, and operating environment. -
Lock the test set
We use a controlled and diverse set of source content to create consistent comparisons. -
Measure quality across multiple metrics
We review VMAF, SSIM, PSNR, and related quality outcomes together. -
Measure bitrate efficiency
We compare how much data is required to reach target quality levels. -
Measure compute cost
We evaluate throughput, processing demand, and scaling practicality. -
Compare results across the full tradeoff curve
We look beyond single headline numbers and review how performance changes across operating points. -
Score for real-world efficiency
A successful result must balance quality, bandwidth savings, and compute in a way that holds up in production.
What Makes DTEA Benchmarking Different
DTEA is built around independent measurement. That means the goal is not to help one vendor look good. The goal is to create a benchmark system that buyers, operators, and technology providers can trust.
That requires:
- Consistent methodology
- Locked evaluation conditions
- Balanced test content
- Multi-metric analysis
- Real operational context
- Independent certification standards

The Bottom Line
The definitive benchmark is not the loudest claim. It is the one that measures real transmission performance in a repeatable way.
That is what DTEA is building. We measure success by looking at quality, bitrate, compute, content diversity, and use-case fit together. When those factors align, the result is real efficiency.
To learn more about how DTEA is building independent performance benchmarks and certification for video transmission technologies, visit DTEA.org.
