Memory Bandwidth Calculator

Calculate theoretical and effective memory bandwidth for DDR4, DDR5, and other RAM types. Optimize your system's memory performance.

MT/s
bits
%

Quick Facts

DDR5-5600
44.8 GB/s per channel
Current mainstream standard
DDR4-3200
25.6 GB/s per channel
Previous generation
GDDR6X
~1 TB/s
High-end GPUs (RTX 40 series)
HBM3
~3.35 TB/s
AI accelerators (H100)

Bandwidth Results

Calculated
Theoretical Bandwidth
0 GB/s
Maximum possible
Effective Bandwidth
0 GB/s
Real-world estimate
Per Channel
0 GB/s
Single channel rate

Configuration Details

Memory Type DDR5
Base Clock 2800 MHz
Data Rate 5600 MT/s
Total Bus Width 128 bits

Transfer Rates

Bytes per Transfer 16 bytes
Transfers per Second 5.6 billion
MB per Millisecond 89.6 MB
Bits per Second 716.8 Gbps

Key Takeaways

  • Memory bandwidth = Speed (MT/s) x Bus Width (bits) x Channels / 8
  • DDR5-5600 dual-channel provides 89.6 GB/s theoretical bandwidth
  • Real-world efficiency is typically 70-85% of theoretical maximum
  • Dual-channel doubles bandwidth compared to single-channel configuration
  • GPU memory (GDDR6X, HBM) offers 10-40x higher bandwidth than system RAM

What Is Memory Bandwidth?

Memory bandwidth is the rate at which data can be read from or written to memory by a processor. It's measured in gigabytes per second (GB/s) and represents the maximum theoretical throughput of your memory subsystem. Higher bandwidth means faster data transfer between RAM and CPU/GPU.

Memory bandwidth is a critical factor for performance in memory-intensive applications like video editing, 3D rendering, scientific computing, machine learning, and high-resolution gaming. Understanding and optimizing bandwidth helps identify bottlenecks and choose the right components.

The Memory Bandwidth Formula

Bandwidth (GB/s) = (Speed x Bus Width x Channels) / 8,000
Speed = Transfer rate in MT/s (Megatransfers per second)
Bus Width = Data path width in bits (typically 64 for DDR)
Channels = Number of memory channels
8,000 = Conversion factor (8 bits/byte x 1000 for GB)

Example Calculation: DDR5-5600 Dual-Channel

For a typical DDR5-5600 dual-channel configuration:

  • Speed: 5600 MT/s
  • Bus Width: 64 bits per channel
  • Channels: 2 (dual-channel)
  • Bandwidth = (5600 x 64 x 2) / 8,000 = 89.6 GB/s

Memory Bandwidth Comparison

Memory Type Speed Bus Width Bandwidth (Single) Common Use
DDR4-2400 2400 MT/s 64-bit 19.2 GB/s Budget systems
DDR4-3200 3200 MT/s 64-bit 25.6 GB/s Mainstream PCs
DDR5-5600 5600 MT/s 64-bit 44.8 GB/s Current mainstream
DDR5-6400 6400 MT/s 64-bit 51.2 GB/s High-performance
GDDR6 16000 MT/s 256-bit 512 GB/s Mid-range GPUs
GDDR6X 21000 MT/s 384-bit ~1 TB/s High-end GPUs
HBM3 6400 MT/s 4096-bit 3.35 TB/s AI accelerators

Pro Tip: Understanding MT/s vs MHz

DDR (Double Data Rate) memory transfers data on both the rising and falling edges of the clock signal. DDR5-5600 operates at 2800 MHz base clock but achieves 5600 MT/s (Megatransfers per second). Marketing often uses "5600 MHz" incorrectly - the proper term is 5600 MT/s.

Factors Affecting Memory Bandwidth

1. Memory Speed (Data Rate)

Higher speed ratings directly increase bandwidth. DDR5-6400 provides 14% more bandwidth than DDR5-5600 at the same channel configuration.

2. Number of Channels

Multi-channel configurations multiply bandwidth proportionally:

  • Single-channel: 1x base bandwidth
  • Dual-channel: 2x base bandwidth (most consumer systems)
  • Quad-channel: 4x base bandwidth (HEDT, workstations)
  • Octa-channel: 8x base bandwidth (servers)

3. Bus Width

Standard DDR uses 64-bit bus width per channel. Graphics memory uses wider buses (256-bit to 4096-bit) to achieve higher bandwidth.

4. Memory Timings

While not directly affecting peak bandwidth, tighter timings (lower CAS latency) improve real-world performance and effective bandwidth utilization.

Practical Applications

Gaming

Most games benefit from dual-channel DDR5-5600 or faster. CPU-bound games and high-framerate scenarios particularly benefit from higher bandwidth.

Video Editing & 3D Rendering

Applications like DaVinci Resolve, Premiere Pro, and Blender heavily utilize memory bandwidth. Quad-channel configurations significantly reduce render times.

Machine Learning

Training AI models requires massive bandwidth. This is why GPUs with HBM (High Bandwidth Memory) dominate ML workloads, offering 30-40x the bandwidth of system RAM.

Frequently Asked Questions

No, memory speed (measured in MT/s or MHz) is just one factor in calculating bandwidth. Bandwidth also depends on bus width and the number of memory channels. A slower memory configuration with more channels can have higher total bandwidth than a faster single-channel setup.

Real-world bandwidth is typically 70-85% of theoretical maximum due to memory controller overhead, timing constraints, address and command cycles, and system-level inefficiencies. The efficiency varies based on access patterns - sequential access achieves higher efficiency than random access.

Not always. If your workload isn't memory-bandwidth limited, additional bandwidth won't improve performance. Many applications are latency-sensitive rather than bandwidth-sensitive. Testing your specific workloads is the best way to determine if you'll benefit from higher bandwidth.

GDDR (Graphics DDR) is optimized for high bandwidth with wider buses but higher latency, designed for GPU workloads that process large parallel data streams. DDR is optimized for lower latency and is better suited for CPUs that require quick random access to data.