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Full Version: What benchmarks best reflect Ryzen 9 vs Core i9 for DaVinci Resolve, Blender, After
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I'm building a new workstation for 4K video editing and 3D rendering, and I'm trying to decide between the latest AMD Ryzen 9 and Intel Core i9 processors. I've been looking at various CPU benchmarks, but the results seem to vary wildly depending on the specific software and test used, making a direct comparison difficult. For professionals in similar creative fields, which benchmark suites or real-world application tests have you found most accurately reflect performance in tools like DaVinci Resolve, Blender, and Adobe After Effects, and how significant is the performance gap in multi-threaded workloads versus single-core speed for these tasks?
Short take first: for mixed workloads like 4K editing in DaVinci Resolve, Blender cycles, and After Effects, the most reliable signals come from app-specific, workstation-focused benchmarks. In practice I use a mix of Blender Benchmark, Puget Systems tests (Resolve, Blender, After Effects), and Cinebench as a quick sanity check. Remember that GPU acceleration dominates many tasks in Resolve, so CPU wins are usually in the non-GPU parts (import/export, certain effects, and scene rendering).
Recommended benchmark sources you can trust:
- Blender Benchmark (official): multi-scene CPU render tests that map well to Blender workloads you’ll actually run.
- Puget Systems workstation benchmarks: published, project-based results for DaVinci Resolve, Blender, and After Effects on real-world projects.
- Cinebench R23 (multi-core and single-core): simple cross-platform baseline for core speed vs core count.
- For broader context, AnandTech/Tom's Hardware reviews on CPUs for creative workloads and some SPECworkstation tests (if you want cross-workstation comparisons).
Test approach caveat: make sure you’re comparing apples to apples (same software version, same render paths, same GPU, same RAM config) because results drift a lot with software updates and drivers.
In terms of what wins where:
- Blender: CPU render scaling tends to favor CPUs with more cores and strong per-core performance; AMD Ryzen 9s (especially high core counts) do well, but Intel’s top-end processors with high single-core clocks also perform well depending on the scene and Blender version.
- DaVinci Resolve: GPU acceleration is king for playback and effects; CPU matters for timeline performance, certain codecs, and CPU-only effects. A balanced platform (solid multi-core CPU, ample fast RAM, a strong GPU) tends to outperform a CPU-heavy or GPU-heavy outlier.
- After Effects: historically benefits from strong single-core performance for many effects and the composition engine, but rendering uses multiple cores; most recent versions are quite multithread-friendly. So you want a CPU with good single-core clocks plus a healthy number of cores and enough RAM.
Overall, expect the performance gap between Ryzen 9 and Core i9 to vary by workflow and software version; no one-size-fits-all winner. A practical route is to pick based on your typical project mix and verify with those app-specific benchmarks.
Practical test plan you can apply before buying:
1) Document your typical project profile (4K timeline length, effects used, cycles in Blender scenes, typical render/export codecs).
2) Pick 2–3 CPUs to compare (one high-core AMD, one high-clock Intel).
3) Run a small, real-world test suite: a Resolve 4K export, a Blender CPU render of a representative scene, and an After Effects project with several heavy effects plus a 4K export.
4) Measure render times, peak RAM usage, temps, and any thermal throttling; note energy draw.
5) Decide based on total time-to-delivery and stability, not just peak render times.
Tip: also check how the CPU pairing behaves with your GPU and storage choices, since I/O can throttle or bias results.
If you’d like, tell me your target budget, the exact CPU models you’re considering, GPU, and your typical project mix. I can pull a short, side-by-side chart (with lab-tested numbers from Blender Benchmark and Puget Systems) and help you pick the best balance for your workflow.