Blender GPU&CPU Benchmark: RTX4060 & E5-2667v3, Cycles vs EEVEE Rendering

Rendering in Blender is where hardware truly gets tested. Whether you’re producing a high-resolution still image or rendering a full animation sequence, choosing the right GPU or CPU setup can mean the difference between hours and minutes.

In this in-depth blog post, we explore the real-world performance of a server running Intel Xeon E5-2667 v3 CPU and NVIDIA RTX 4060 GPU using Blender's EEVEE and Cycles render engines. We also discuss scalability toward higher-end GPUs like the RTX 4090.

Rendering Benchmark Overview

Server Configs:
  • CPU: Intel Xeon E5-2667 v3 (8 cores, 16 threads)
  • GPU: NVIDIA GeForce RTX 4060
  • RAM: 64GB ECC DDR4
  • OS: Windows 11(Free)
Blender Setup:
When Blender is idle with only the UI open:
  • CPU Usage: 54%
  • Memory Usage: 16%
  • GPU Utilization: 0%
This shows that even without starting the render, Blender is still quite CPU intensive.

EEVEE Rendering Benchmark: Real-Time Powerhouse

EEVEE is Blender's real-time rasterization engine, optimized for fast previews and animations. It doesn't rely heavily on ray tracing and instead simulates it using screen-space approximations.
Blender 3D ModelGakuHouse of ChoresEmber Forest
File Size(MB)32.222770.8
RendererEEVEEEEVEEEEVEE
Render TypeImage RenderingAnimation RenderingAnimation Rendering
Render Samples1286464
Output Resolution: X, Y, %4000px, 2000px, 30%1920px, 1080px, 100%1920px, 1080px, 100%
Frame Rate-2430
Frame Number1250350
CPU61%77%68%
Memory13%16%13%
GPU vRAM22%52%35%
GPU(3D) Utilization50%12-83%28-39%
Render Duration(min)00:12.9209:31.8704:00.00

✅ Observations:

  • EEVEE delivers extremely fast render times for animations.
  • GPU usage varies by scene complexity (28–83%).
  • Perfect for architectural fly-throughs, stylized 3D illustrations, and lightweight VFX.

🟨 Limitation:

  • Not ideal for photorealism.
  • Limited physically accurate lighting compared to Cycles.
Gaku-3D Model
Gaku: 3D Model
3D Model
Gaku: Rendering
3D Model
Gaku: Render Completed
House of Chores: 09:31.87
Ember Forest: 04:00

Cycles Rendering Benchmark: Photorealism at a Cost

Cycles is Blender’s ray-tracing renderer. It provides physically accurate lighting and shading but demands heavy computation. When paired with GPU acceleration, especially using OptiX, performance improves significantly.
Blender 3D ModelLynxsdesignThe Junk ShopWhite Lands
File Size(MB)27639361.4
RendererCycles>GPU ComputeCycles>GPU ComputeCycles>GPU Compute
Render TypeImage RenderingImage RenderingImage Rendering
Render Samples60050128
Output Resolution: X, Y, %3840px, 2160px, 50%2000px, 1000px, 100%4268px, 2109px, 50%
Frame Rate---
Frame Number111
CPU62%66%62%
Memory57%23%13%
GPU vRAM88%14%32%
GPU(3D) Utilization100%53-90%100%
Render Duration(min)03:23.9000:25.3508:24.34

✅ Observations:

  • GPU rendering (OptiX) provides excellent acceleration.
  • The RTX 4060 can handle mid-size projects smoothly, but render times increase significantly with higher samples.
  • GPU vRAM is a bottleneck in heavier scenes.
Lynxsdesign
Lynxsdesign: 03:23.90
3D Model
The Junk Shop: 00:25.35
3D Model
White Lands: 08:24.34

CPU Rendering (E5-2667 v3): A Reality Check

Even though Blender can render on the CPU, it’s rarely ideal—especially with older architectures like the E5 series. During image and animation renders, CPU usage frequently hit 66–77%, but render times lagged significantly compared to GPU-based renders.

For instance:

  • EEVEE scenes took 3–4× longer on CPU-only setups.
  • Cycles CPU render (not shown here) would likely increase render time from minutes to hours for complex scenes.

When Is CPU Rendering Useful?

  • When GPU memory is exceeded (e.g., for massive architectural renders).
  • For headless, multi-core render farms.
  • For diagnostic or fallback purposes.

Get Started with GPU Server for Rendering

Interested in optimizing your Blender rendering? Check out our cheap GPU server hosting services or explore alternative GPUs.

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  • 128GB RAM
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  • OS: Windows / Linux
  • GPU: GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS

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  • OS: Windows / Linux
  • GPU: Nvidia GeForce RTX 4060
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11 TFLOPS
  • Ideal for video edting, rendering, android emulators, gaming and light AI tasks.

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  • Dual 18-Core E5-2697v4
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  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS
  • Perfect for 3D rendering/modeling , CAD/ professional design, video editing, gaming, HPC, AI/deep learning.
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  • OS: Windows / Linux
  • GPU: 2 x GeForce RTX 5090
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 20,480
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7 TFLOPS

Final Thoughts of Blender GPU&CPU Benchmark

  • Blender rendering is GPU-first in 2025, with CPU rendering becoming niche.
  • The RTX 4060 performs well in real-world scenes, but RTX 4090 is the clear performance leader.
  • EEVEE is ideal for real-time, while Cycles rules photorealism.
  • The sample count and output resolution have major effects on rendering time, sometimes more than file size.
  • GPU benchmarks are not just helpful for buyers, but essential for artists and studios optimizing pipeline efficiency.
Final Thoughts:

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