Hardware vs software encoding: speed, quality, and file size
Compare CPU and GPU video encoding, including NVENC, Intel QSV, and AMD AMF, and learn how Burger Compress selects verified software or hardware encoders.
Test hardware encoding when speed or lower CPU use matters. Test software encoding for compression efficiency or software-only controls. Judge both with the same source video.
Software vs hardware encoding comparison
Choose the same codec and a similar output goal first. Equal quality-control numbers in CPU and GPU encoders do not establish equal visual quality.
| Mode | A useful first test | Review |
|---|---|---|
| Software | Software-only controls or a repeatable baseline | CPU use, time, output size, and picture |
| Hardware | Speed priority or lower CPU encoding load | Local verification, driver, available modes, and quality |
| Automatic | Let the app select among verified candidates | Actual behavior and final output, not a fixed speed assumption |
Hardware encoding vs software encoding
Software encoding runs primarily through a CPU encoder and often exposes a fuller set of controls. Hardware encoding uses a dedicated media engine in a GPU or processor and is often useful when processing speed or lower CPU use matters.
This is not a fixed choice between good and bad quality. Codec, hardware generation, driver, rate control, and source material all affect the outcome. Compare size, picture, speed, and stability with the same original and target.
When to use software encoding
Choose software encoding when compression efficiency matters, when a control mode requires a software encoder, or when no hardware encoder has passed verification on the computer. Burger Compress includes verified baseline software encoding capabilities.
- Useful for establishing a repeatable baseline result.
- Some advanced modes or codec options are software-only.
- CPU use and encoding time vary with resolution, codec, and speed preset.
When to use hardware encoding
Test hardware encoding for longer or higher-resolution videos, or when output speed is a priority. Common hardware encoders include NVIDIA NVENC, Intel QSV, and AMD AMF, but availability depends on the current hardware, driver, and an actual capability test.
- It can reduce CPU encoding load and speed up some tasks.
- Capabilities vary among GPU and driver generations; the vendor name alone is not enough.
- If a hardware encode fails, follow the error and switch to verified software encoding rather than assuming the output succeeded.
Compare speed, quality, and file size
Keep the source, resolution, frame rate, and approximate quality or bitrate target constant. Comparing speed alone ignores whether the output meets its picture and size goals. Comparing file size alone can ignore time and compatibility.
Hardware quality controls may be named CQ, ICQ, or QVBR. Within the same encoder, a lower quality value usually retains more detail and creates a larger file, but numbers are not directly comparable across encoders.
What automatic selection does
Burger Compress detects and caches encoding capabilities that actually work on the current computer. Automatic mode selects only among verified candidates. It can use software encoding for ordinary loads and prefer an available hardware encoder for heavier loads.
If a hardware encode fails during a task, the app can fall back to a verified software candidate. Automatic selection reduces trial and error, but it is not a fixed promise of speed, size, or quality. Always inspect the result.
Why NVENC, QSV, or AMF may be missing
A discrete GPU does not make a hardware encoder appear automatically. Burger Compress tests capabilities in the background and lists an option only after it works on the current computer.
- Confirm that the GPU or processor driver is installed correctly.
- Use the Burger Compress setting to detect hardware encoding again.
- After detection completes, review the options for the selected codec.
- If it is still unavailable, use software encoding and follow the capability explanation in the app.
A practical selection workflow
For everyday short videos or compatibility-first work, start with automatic selection or software encoding and create a sample. For batches of long videos where speed matters, compare a verified hardware encoder.
Whether you choose CPU or GPU video encoding, process representative material first and check picture, sound, and playback on the actual destination. Keep important originals.