GTX 1080 for Blender

Blender score 605
Average speed
Light VRAM
GTX 10 series

Pascal GPU best suited to lighter Blender scenes, learning workflows, and budget-conscious rendering setups.

Last updated: May 26, 2026

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Blender benchmark score

605

Entry-level speed — fine for learning and lighter scenes.

VRAM

8 GB

Enough for moderate scenes; heavy assets may push against the limit.

CUDA cores

2,560

Lower core count — adequate for lighter rendering workloads.

Architecture

Pascal

Older architecture — check benchmark scores for a practical performance picture.

Memory bandwidth

320.3 GB/s

Lower bandwidth may become a bottleneck in texture-heavy or complex scenes.

Boost clock

1733 MHz

Lower clock speed — typical of older or workstation-class GPUs.

Render support

OptiX, CUDA

OptiX is typically the fastest option; CUDA provides a reliable fallback.

TDP

180 W

Relatively efficient — manageable in most desktop builds.

Release year

2016

More technical details

Core specs

  • Base clock: 1607 MHz
  • Process size: 16 nm

Memory specs

  • Memory type: GDDR5X
  • Memory bus: 256-bit

Benchmark performance

This chart estimates how many seconds this GPU takes to render one frame of each standard Blender benchmark scene, so you can compare practical rendering speed at a glance.

Blender score 605
seconds
Estimated time to render one benchmark frame. Lower is faster.
OptiXCUDA
Junkshop
97.28s
122.61s
Monster
64.29s
56.26s
Classroom
148.03s
130.06s
0s175s

These are single-frame estimates derived from Blender Open Data benchmark medians at the scene sample counts, not full-animation render times or guarantees for every real project.

View Blender Open Data source

Is GTX 1080 good for Blender?

A concise editorial read on where this GPU looks strong, the tradeoffs to keep in mind, and who it suits best.

What stands out

  • Pascal architecture
  • 2560 CUDA cores
  • 16 nm process size
  • Capable of handling moderate Blender projects
  • Efficient for its generation due to the 16 nm process

Tradeoffs to know

  • Limited by 8 GB of VRAM for high-end projects
  • Older architecture compared to current offerings

Who should choose it

  • If you're working on moderate projects and need a cost-effective solution
  • For those who prioritize power efficiency in older hardware

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