TITAN V vs TITAN X (Pascal) for Blender
Compare TITAN V vs TITAN X (Pascal) for Blender: benchmarks, VRAM, render-time estimates, power, and upgrade fit. TITAN V leads the Blender benchmark score by 114.9%.
Fastest in Blender
TITAN V (1,835.35 score)
| Spec | ||
|---|---|---|
| Performance | ||
| Blender benchmark score | 1,835.35 | 854.14 -53% |
| CUDA cores | 5,120 | 3,584 -30% |
| Boost clock | 1455 MHz -5% | 1531 MHz |
| Tensor cores | Tensor cores: 640 | N/A |
| Memory | ||
| VRAM | 12 GB | 12 GB |
| Memory bandwidth | 651.3 GB/s | 480.4 GB/s -26% |
| Memory type | N/A | GDDR5X |
| Memory bus | 3072-bit | 384-bit -87% |
| Platform | ||
| Architecture | Volta | Pascal |
| Render support | OptiX, CUDA | OptiX |
| TDP | 250 W | 250 W |
| Release year | 2017 | 2016 |
Benchmark comparison
Estimated seconds to render one frame of each standard Blender benchmark scene. Lower is faster.
These timings are derived from Blender Open Data benchmark medians and should be treated as comparative estimates, not guaranteed real-project render times.
Which GPU makes more sense?
TITAN V is the stronger Blender rendering pick here, and both cards have the same VRAM capacity.
Blender render speed
TITAN V leads by 114.9% in the Renderjuice Blender benchmark model (1,835 vs 854). For render-time-first decisions, that is the card to prioritize.
VRAM and scene headroom
Both cards have 12 GB of VRAM, so the decision is less about scene capacity and more about render speed, architecture, power draw, and price.
Power and cooling
Both cards list a 250 W TDP, so power draw is not the deciding spec on paper. Cooling, case airflow, and actual board partner limits still matter.
Upgrade decision
TITAN V is both the newer and faster Blender rendering choice here. The main reason to choose TITAN X (Pascal) would be price, availability, existing ownership, or a specific workstation requirement.
Quick take on TITAN V vs TITAN X (Pascal)
TITAN V leads the Blender benchmark score by 114.9%.
Fastest in Blender: TITAN V 1,835.35 score.
Both GPUs ship with 12 GB of VRAM, so the tradeoff is more about speed, architecture, and efficiency than memory capacity.
If you are deciding between these cards for Blender, focus first on Blender benchmark score, VRAM capacity, memory bandwidth, and whether your scenes are likely to benefit more from raw speed or extra memory headroom. The comparison table above keeps those tradeoffs in one place.