Skip to main content
VS
Editor-in-Chief
2 min read

m4 vs m4 pro vs m4 max

A

Apple M4

Entry-level ARM-based system-on-chip for everyday computing and light creative work.

Students, casual users, office workers, and light creative hobbyists seeking value and portability.

A

Apple M4 Pro

Mid-range professional chip with balanced performance for developers, designers, and content creators.

Professional developers, UX/UI designers, photographers, and independent content creators managing moderate complexity projects.

A

Apple M4 Max

High-end professional chip designed for intensive rendering, video production, and machine learning tasks.

Film studios, 3D animation houses, machine learning researchers, and data scientists requiring maximum compute density and memory.

Quick Answer

Apple's M4 chip lineup scales from the base M4 for everyday computing to the M4 Pro with enhanced GPU and media engines, up to the M4 Max featuring the most CPU cores, GPU performance, and memory bandwidth for professional workloads. Each tier targets different user needs, with pricing and performance scaling accordingly across MacBook Pro and iMac models.

Full Comparison

CPU Core Count(cores)

Apple M4

10

Apple M4 Pro

12

Apple M4 Max

14

Maximum GPU Cores(cores)

Apple M4

10

Apple M4 Pro

20

Apple M4 Max

40

Maximum Unified Memory(GB)

Apple M4

24

Apple M4 Pro

36

Apple M4 Max

128

Memory Bandwidth(GB/s)

Apple M4

120

Apple M4 Pro

192

Apple M4 Max

192

ProRes Media Engines(engines)

Apple M4

1

Apple M4 Pro

2

Apple M4 Max

2

ProRAW Media Engines(engines)

Apple M4

1

Apple M4 Pro

2

Apple M4 Max

2

Base TDP(watts)

Apple M4

15

Apple M4 Pro

25

Apple M4 Max

25

Starting Configuration Price(USD)

Apple M4

599

Apple M4 Pro

1999

Apple M4 Max

3499

Geekbench 6 Multi-core (Typical)(points)

Apple M4

12200

Apple M4 Pro

14800

Apple M4 Max

16500

Cinebench R23 Multi-core (Typical)(points)

Apple M4

11800

Apple M4 Pro

14200

Apple M4 Max

16100

Pros & Cons

15 pros·6 cons across both

AM
AM
AM

Apple M4

+5-2

Pros

Most affordable option starting at $599
Excellent battery life with low power consumption (15W base)
Handles web browsing, office productivity, and video conferencing effortlessly
1 ProRes and 1 ProRAW media engine sufficient for casual content
Compact and efficient for ultraportable devices

Cons

Limited GPU performance caps out creative professionals' workflows
Maximum 24GB memory insufficient for heavy virtualization or large datasets
AM

Apple M4 Pro

+5-2

Pros

12-core CPU handles demanding multitasking and compilation efficiently
20-core GPU provides significant boost for video editing and 3D design work
192GB/s memory bandwidth accelerates data-intensive applications
Dual ProRes and ProRAW engines enable professional video workflows
Up to 36GB unified memory supports complex projects and moderate virtualization

Cons

Notably more expensive than base M4 ($1,999 starting price)
Still limited for extreme workloads requiring M4 Max's 40 GPU cores
AM

Apple M4 Max

+5-2

Pros

14-core CPU provides maximum single-threaded and multi-threaded performance
40-core GPU (optional) rivals discrete graphics for rendering and AI workloads
Up to 128GB unified memory enables handling of massive datasets and simultaneous applications
192GB/s memory bandwidth optimizes throughput for bandwidth-intensive ML models
Professional media engines handle Red, Blackmagic, and ProRes workflows natively

Cons

Premium pricing ($3,499+) limits adoption to well-funded studios and enterprises
Excess capability unused for typical professional workflows under heavy load

Verdict

The M4 Max delivers the highest performance for professional video editing, 3D rendering, and machine learning tasks with 14 cores and up to 40 GPU cores, justifying its premium price for studios and enterprises. The M4 Pro balances performance and cost effectively for developers, designers, and content creators who need responsive multitasking without the maximum overhead. The M4 base chip excels for students, everyday users, and light creative work, offering excellent value and sufficient power for web browsing, office productivity, and casual creative projects. Choose M4 if: you prioritize affordability and handle general computing. Choose M4 Pro if: you create content professionally or code frequently. Choose M4 Max if: you perform intensive rendering, editing, or machine learning work.

Frequently Asked Questions

6 questions

  1. The M4 Max's 14-core CPU (vs 12-core) and 40-core GPU (vs 20-core) provide roughly 15-20% better multi-threaded performance and 100% more GPU compute. For professional video editing, 3D rendering, and ML training, this translates to significantly faster project completion, though casual content creators may not notice daily difference.

  2. Yes, the M4 handles 1080p and 4K video editing in Final Cut Pro or DaVinci Resolve adequately, though with moderate effects and transitions. The single ProRes engine and 10-core GPU make complex multicam or heavily-graded timelines slower than M4 Pro/Max would be.

  3. For machine learning researchers, visual effects artists, or data scientists working with datasets exceeding 64GB, yes—unified memory integrates CPU and GPU pools efficiently. For video editors or developers, 36GB (M4 Pro) or 24GB (M4) typically suffices unless handling exceptionally large codebases or simulations.

  4. Most software engineers benefit from M4 Pro, as its 12 cores and up to 36GB memory handle modern development stacks, Docker containers, and local ML inference smoothly. The base M4 works for lightweight development; M4 Max suits those compiling massive codebases or training models locally.

  5. The 20-core GPU in M4 Pro delivers solid 1440p gaming at 60fps+ in most AAA titles on macOS. The M4 reaches 1080p-1440p playably. M4 Max targets professionals; gaming performance differences are marginal above M4 Pro since game optimization, not GPU count, limits macOS frame rates.

Explore More

Related comparisons and categories

Explore Entities

More Technology

People Also Compare

Last updated
AI-assistedOur methodology