NVIDIA GeForce GTX 650 Ti BOOST

Blender score 109

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

Last updated: March 31, 2026

Blender benchmark score

109

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

VRAM

2 GB

Limited — best for simpler scenes and lighter workflows.

CUDA cores

768

Lower core count — adequate for lighter rendering workloads.

Architecture

Kepler

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

Memory bandwidth

144.2 GB/s

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

Boost clock

1032 MHz

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

Render support

CUDA

CUDA provides the primary GPU rendering path in Blender Cycles.

TDP

134 W

Low power — easy to cool and efficient for smaller builds.

Release year

2013

More technical details

Core specs

  • Base clock: 980 MHz
  • Process size: 28 nm

Memory specs

  • Memory type: GDDR5
  • Memory bus: 192-bit

Benchmark performance

This chart gives a compact estimate of how this GPU handles Blender benchmark scenes, so you can compare practical rendering speed without reading raw benchmark tables.

Blender score 109

These timings are derived from Blender Open Data benchmark medians and should be treated as comparative estimates, not guaranteed real-project render times.

View Blender Open Data source

Is GTX 650 Ti BOOST 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

  • Kepler architecture
  • 28 nm process size
  • Offers a base clock speed of 980 MHz
  • Boosts up to 1032 MHz for enhanced performance

Tradeoffs to know

  • Limited VRAM at 2 GB, restricting complex scene handling
  • Outdated architecture for current Blender requirements

Who should choose it

  • If you're working on smaller projects and need a cost-effective solution.
  • For users who are exploring 3D rendering without heavy computational needs.

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