Topaz Photo releases 1.6.1 update
Topaz Labs released Topaz Photo 1.6.1 on June 11, 2026, with a NeuroServer performance update and a large list of bug fixes. On Mac, processing is 2x faster across all NeuroServer-based models (Wonder 2, Wonder 3, Super Focus v3, Denoise Max, Recover Faces 3) due to concurrent GPU and Neural Engine execution plus faster model initialization. On Windows, GPUs with 8-12 GB VRAM that were previously memory-bottlenecked see up to 4x faster processing; Topaz Labs measured an NVIDIA 4060 Laptop GPU (8GB) cutting a 24MP-to-96MP 2x upscale from 33 minutes to 7.5 minutes in testing. The release also corrects color shift in High Fidelity 3, RAW denoise batch handling, and several face recovery edge cases, per the official Topaz Community release post.
What changed
Topaz Labs released Topaz Photo 1.6.1 on June 11, 2026 as a patch release with a large list of bug fixes and a headline NeuroServer performance update. The NeuroServer improvements apply to five models: Wonder 2, Wonder 3, Super Focus v3, Denoise Max, and Recover Faces 3.
Performance improvements
On Mac, NeuroServer now uses the GPU and Neural Engine concurrently, and model initialization is faster. Topaz Labs reports a combined 2x speedup across all Mac NeuroServer models. On Windows, the update addresses a memory management bottleneck that caused 8GB and 12GB VRAM GPUs to process NeuroServer jobs inefficiently. Topaz Labs reported the following measurement with an NVIDIA 4060 Laptop GPU (8GB VRAM) upscaling a 24MP image to 96MP at 2x: processing time dropped from 1,982 seconds (33 minutes) in v1.6.0 to 450 seconds (7.5 minutes) in v1.6.1, a 4x improvement. GPUs with more VRAM see smaller gains because they were not previously bottlenecked by memory.
Bug fixes
The release patches color correction in High Fidelity 3 to prevent color shift, fixes RAW denoise not being added in batch processing when images are unloaded, corrects face recovery occasionally defaulting to 0 selected faces, and resolves Denoise MAX lacking a reprocess/strength-change option. Additional fixes address resolution settings from the upscale menu, Dust & Scratch 2 selection display, and several Mac UI and enterprise seat-claiming issues, per the official Topaz Community release thread.
What to watch
The NeuroServer speedup lowers the time cost of running Wonder and Recover Faces models on mid-range hardware. For practitioners running high-megapixel batch jobs on 8-12 GB VRAM GPUs, this update changes the local-vs-cloud cost tradeoff for image-enhancement preprocessing. Official release notes are on the Topaz Community forum.
Scoring Rationale
Topaz Photo 1.6.1 delivers a verified 2-4x NeuroServer speedup on Mac and mid-range Windows GPUs, which is practically meaningful for practitioners using AI image-enhancement preprocessing. It is a patch release for a consumer imaging tool rather than a frontier AI or infrastructure development.
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