PFClean Performance Benchmark: The Mac Mini M4 Pro
- Apr 15
- 5 min read
A Compelling Entry Point for Digital Film Restoration
Benchmarking performance in the specialised field of film & video restoration is a notoriously tricky endeavour. Unlike a simple file copy or a synthetic CPU stress test, restoration throughput is influenced by a chaotic array of variables that make a true “apples-to-apples” comparison a moving target.
To establish a meaningful baseline, we ran a controlled stress test on the M4 Pro Mac Mini, Apple’s most affordable M4 Pro machine, and measured its results against archived reference data from two 2022-era entry level workstations: an M1 Max Mac Studio and a Windows Ryzen 7 PC. Those reference machines represented solid entry points for digital restoration in their time. As they are no longer in active use, those figures cannot be retested; they are included here as historical benchmarks to illustrate how far modern architecture has moved the needle for today’s entry-level seats.
Why benchmarking restoration is harder than it looks
Before diving into the numbers, it is vital to understand the factors that can dramatically swing processing times. A “fast” machine on paper can still struggle if the restoration environment isn’t controlled.
Defect density: The volume of dust, scratches, and stains detected changes the computational load for every frame. Two clips of identical length can demand vastly different processing efforts based on the physical state of the film.
Toolchain complexity: Combinations of effects, like grain management and flicker reduction, add compounding layers of demand on the CPU and GPU simultaneously. Beyond raw processing cores, complex toolsets place immense pressure on drive throughput as the system reads and writes multiple frames in parallel. Furthermore, high-resolution temporal effects require significant RAM to buffer frame sequences for cross-frame analysis.
Media specifications: Resolution, file type, and bit depth dictate the required data bandwidth. Processing a 4K 10-bit DPX sequence demands far more from a system’s architecture than a standard compressed file.
To normalise these variables, we established a controlled environment using identical datasets in DPX 10-bit format.
Methodology: the “Raw Power” stress test
This benchmark was deliberately punishing. We applied PFClean’s most computationally demanding effects, all temporal, meaning the engine must reference multiple frames ahead and behind for every rendered frame.
No caching: We disabled caching entirely to force the hardware to handle the heavy lifting in real-time.
Internal storage: To establish a raw baseline, project files and media assets were stored on each system’s internal scratch disk to minimise external bottlenecks.
Dataset: 24 clips (12 HD, 12 4K) at 1,000 frames each (∼42 seconds per clip).
Testing Protocol: To ensure data integrity and prevent RAM caching from influencing the results, each test was performed across multiple passes with a full system reboot between runs. The reported figures represent the average of these timed sessions to provide a consistent performance baseline.
Toolset used and Effects order:
Digital Wet Gate
Granularity - 100% grain reduction
Dirt/Dust - Detect both, default settings
Scratches - Detect bright, default settings
Workbench
Auto Stabilise - Default settings
Auto De-Flicker - Range set to 6
Test systems
System | Processor | Memory | Drive Read Speed | Drive Write Speed | Role |
Mac Mini M4 Pro (2024) | Apple M4 Pro | 48GB Unified | ~5,800 – 6,300 MB/s | ~6,000 – 6,600 MB/s | Target (entry point) |
Mac Studio (2022) | Apple M1 Max | 32GB Unified | ~5,100 – 5,400 MB/s | ~5,000 – 5,300 MB/s | Historical reference* |
Windows PC (2022) | Ryzen 7 5800 | 32GB RAM | 3,400 – 3,600 MB/s | 3,000 – 3,200 MB/s | Historical reference* |
* M1 Max Mac Studio and Windows Ryzen 7 5800 figures are historical reference data from 2022. These systems are no longer in active use and results cannot be independently verified or retested.
Results: raw stress test (uncached)
These results reflect raw hardware throughput with no optimisation, essentially the “floor” of performance.
Total export time (DPX 10-bit)
* M1 Max figures are historical reference data from 2022 and cannot be retested. See methodology note above.
The M4 Pro Mac Mini comfortably outpaced the 2022-era historical reference figures: nearly three minutes faster than the M1 Max Mac Studio in 4K, and over five minutes faster than the Ryzen 7 5800 Windows system. This gap is largely attributable to the two-generation leap in Apple Silicon architecture and the 48GB of Unified Memory, which provides a crucial sweet spot for high-resolution data throughput.
Real-world context: the operator advantage
While raw stress tests are useful for hardware evaluation, they don’t reflect the day-to-day reality of a skilled restoration operator. Experienced PFClean users gain significant performance boosts through efficient caching, the careful ordering of effects, and strategic I/O management.
Optimised I/O and multi-drive workflows
In a professional session, an operator avoids putting all the stress on a single drive. By distributing the workload across multiple high-speed buses, you can effectively eliminate data “traffic jams”:
Source footage: Stored on a fast Thunderbolt external drive.
Cache/scratch: Directed to the system’s internal NVMe drive.
Export destination: Rendered out to a separate high-speed external drive.
This separation ensures that the system can read source frames, write cache files, and export finished frames simultaneously without bus contention or bandwidth throttling.
Optimised vs. uncached (Mac Mini M4 Pro)
By combining this multi-drive strategy with intelligent caching & effect sequencing, the performance ceiling rises dramatically. The figures below reflect M4 Pro performance only; equivalent optimised figures for the 2022 reference systems are not available.
The M4 Pro Mac Mini achieved an 84% reduction in 4K export time under an optimised multi-drive workflow, from 6 minutes 28 seconds uncached to 1 minute 3 seconds.
Final recommendations
The M4 Pro Mac Mini has set a new standard for entry-level professional restoration. In raw, uncached conditions it completed 12 clips of 4K DPX 10-bit footage in 6 minutes 28 seconds, nearly five minutes faster than the 2022-era Windows reference and nearly three minutes faster than the historical M1 Max Mac Studio figures. Under an optimised multi-drive workflow, that same 4K workload drops to 1 minute 3 seconds: an 84% reduction against its own uncached baseline. For a machine at this price point, that figure speaks for itself.
For most new PFClean deployments, boutique restoration houses, solo operators, and facilities adding seats, the M4 Pro Mac Mini is the correct choice. It delivers professional-grade throughput, runs silently under typical restoration loads, and keeps the total hardware-plus-software cost of a complete workstation well under £4,000.
For studios with sustained multi-stream 4K and 8K pipelines, complex archival projects requiring simultaneous delivery of multiple output formats, or operators regularly pushing the limits of temporal processing across very long sequences, the M4 Max Mac Studio represents the natural step up. It offers a higher GPU core count, additional Thunderbolt buses for more sophisticated multi-drive I/O configurations, and a higher Unified Memory ceiling for the most demanding frame-buffer workloads. We have not benchmarked the M4 Max against the same dataset used in this article; full hardware comparisons across the Mac lineup, including recommended configurations by workload type, are available in the PFClean Hardware Guide at pfclean.com.
Whether you are commissioning your first restoration seat or scaling an existing facility, the current generation of Apple Silicon makes PFClean faster and more cost-effective to run than at any point in the software’s history. For recommended hardware configurations check out our hardware guide here.
