SynthEyes 2026
macOS
Operating System
macOS Monterey version 12.7.6 or later.
Processor (CPU)
SynthEyes is a universal binary for Apple silicon, or Intel Macs with AVX support (Sandy Bridge or later). Rosetta is not supported.
Machine Learning (ML) features such as Mask ML and ML Motion Estimation require Apple silicon.
System Memory (RAM)
Minimum 8 GB RAM. 16 GB recommended. Professional, 360VR, ML, and film users typically use 16–32 GB or more.
Apple silicon systems use unified memory; 16 GB or more is strongly recommended due to the shared CPU/GPU memory architecture.
Graphics Processor (GPU)
All Apple silicon GPUs are supported.
On Intel Macs an AMD Radeon™ PRO Series GPU with 8 GB VRAM minimum is required.
Windows
Operating System
Windows 10 or later
Processor (CPU)
Intel or AMD x64 processor with AVX (Sandy Bridge or later, or comparable AMD).
System Memory (RAM)
Minimum 8 GB RAM. 16 GB recommended. Professional, 360VR, ML, and film users typically use 16–32 GB or more.
Graphics Processor (GPU)
8 GB VRAM minimum. 16 GB VRAM recommended for ML plug-ins, RED decode, and high-resolution workflows. Machine Learning (ML) Plugins require an NVIDIA GPU with compute capability 6.0 or above (Pascal), or an AMD Radeon™ PRO Series GPU. If an appropriate GPU is not available, ML plug-ins can run on the CPU with significantly degraded performance.
Linux
Operating System
RHEL 8+ (Red Hat Enterprise Linux) or an equivalent compatible Linux distribution such as Rocky or Alma Linux, on x86_64.
Processor (CPU)
Intel or AMD x86_64 processor with AVX (Sandy Bridge or later, or comparable AMD).
System Memory (RAM)
Minimum 8 GB RAM. 16 GB recommended. Professional, 360VR, ML, and film users typically use 16–32 GB or more.
Graphics Processor (GPU)
8 GB VRAM minimum. 16 GB VRAM recommended for ML plug-ins, RED decode, and large multi-head configurations. Machine Learning (ML) Plugins require an NVIDIA GPU with compute capability 6.0 or above (Pascal). If an appropriate GPU is not available, ML plug-ins can run on the CPU with significantly degraded performance.