CPU Comparison

Apple M1 Max vs Apple M1 Ultra

A side-by-side comparison of specs, performance and value. The Apple M1 Max is an ARM-based system-on-chip for pro MacBook Pro and Mac Studio, pairing a 10-core CPU with up to a 32-core GPU and up to 64GB of unified memory on a 400GB/s bandwidth fabric, aimed at video, 3D, and developer workloads.

Apple · Apple M1
Apple M1 Max
10C / 10T
8.8
Full review
Apple · M1
Apple M1 Ultra
20C / 20T
8.8
Full review

The Bottom Line

Overview & Launch

Brand
Apple
Apple
Market
Pro Laptops and Desktops
High-End Workstation Desktop
Segment
Creator/Workstation
Workstation Desktop
Generation
1st-Gen Pro Apple Silicon (M1 Series)
1st Gen Apple Silicon Ultra
Launched
2021
2022
Status
Released
Discontinued
Codename
M1 Max
Jade 2C Die
Series
Apple M1
M1
Family
Apple Silicon
Apple Silicon
Predecessor
Apple M1 Pro
Apple M1 Max
Successor
Apple M2 Max
Apple M2 Ultra

Specifications Compared

Cores & Clocks
Cores
10
20
Threads
10
20
Architecture
Architecture
ARMv8.4-A (Apple Firestorm/Icestorm)
ARM-based Apple Silicon (M1 Ultra / Jade 2C Die)
Process Node
5 nm
TSMC 5nm
Memory
Memory Type
LPDDR5-6400 (unified, on-package)
Unified LPDDR5
Memory Speed
6400 MT/s
6400 MT/s
Memory Channels
Octa (8)
Max Memory
64 GB
128 GB
Platform & I/O
Socket
BGA (Soldered)
Integrated GPU
Yes
Yes
Unlocked
No
No

Performance Compared

Productivity

Apple M1 Max
Apple M1 Ultra96

Gaming

Apple M1 Max
Apple M1 Ultra72

Virtualization

Apple M1 Max
Apple M1 Ultra85

Efficiency

Apple M1 Max
Apple M1 Ultra92

Specialized Performance

AI / ML

Apple M1 MaxStrong (On-device)
  • 16-core Neural Engine accelerates Core ML models for imaging, video analysis, and audio tasks.
  • Unified memory allows running mid-sized models and batching within device memory.
  • Large-scale model training is better suited to data center GPUs; M1 Max excels at inference rather than training.
Apple M1 UltraVery Good
  • 32-core Neural Engine accelerates on-device machine learning inference at up to 22 trillion operations per second
  • 800 GB/s memory bandwidth benefits large language model inference
  • 128GB unified memory enables loading large AI models that exceed typical GPU VRAM
  • No dedicated tensor cores in the traditional NVIDIA CUDA sense
  • Apple Core ML and Metal Performance Shaders provide software-level acceleration

Content Creation

Apple M1 MaxExcellent
Final Cut ProDaVinci ResolveAdobe Premiere ProAdobe PhotoshopAdobe Lightroom ClassicBlenderCinema 4DLogic ProAbleton LiveXcode
Apple M1 UltraExcellent
Final Cut ProAdobe Premiere ProDaVinci ResolveAdobe After EffectsBlenderCinema 4DLogic ProMayaAdobe PhotoshopAdobe Lightroom

Gaming

Apple M1 MaxModerate
  • Integrated GPU scales well in Apple-optimized games and titles supporting Metal, but driver ecosystem is limited compared to Windows/PC GPUs.
  • AAA titles often require reduced settings or resolutions.
  • eGPU support is not available on Apple Silicon, limiting future GPU upgrades.
Apple M1 UltraGood
  • 64-core GPU handles most macOS-native titles comfortably at 1440p
  • Limited game library on macOS compared to Windows
  • Rosetta 2 translation layer adds minor overhead for x86 games
  • No support for external GPUs via Thunderbolt
  • AAA titles running through CrossOver or Parallels may have reduced performance

Industry Impact

Gaming
Low
Low
Workstations
High
High
Content Creation
High
Very High
Virtualization
Moderate
Moderate

Best CPU by Use Case

4K/8K Video Editing
Excellent
3D Rendering
Very Good
Excellent
Motion Graphics
Excellent
Software Development
Very Good
Music Production
Very Good
Data Science
Good
Gaming
Moderate
Good
8K Video Editing
Excellent
Machine Learning Inference
Excellent
Multi-Stream ProRes Playback
Excellent
Professional Audio Production
Excellent
Software Compilation
Very Good

Target Audience

Gamers
Content Creators
Targeted
Targeted
Developers
Targeted
Targeted
Workstation Users
Targeted
Targeted
Streamers
Targeted
Office / Productivity
Students

Strengths & Weaknesses

Apple M1 Max

Pros

  • Very high performance per watt for CPU and GPU.
  • Up to 64GB unified memory with 400GB/s bandwidth enables large projects.
  • Hardware-accelerated ProRes encode/decode speeds video workflows.
  • Thunderbolt 4 provides flexible external connectivity and displays.
  • 16-core Neural Engine for on-device ML inference.
  • 48MB system-level cache reduces effective memory latency.

Cons

  • Memory is not upgradable after purchase.
  • No user-accessible PCIe slots for internal expansion cards.
  • Gaming library and optimizations lag behind Windows/x86 systems.
  • macOS ecosystem limits some virtualization and workstation use cases compared to Linux/Windows.
Apple M1 Ultra

Pros

  • Outstanding multi-threaded CPU performance with 20 cores
  • Massive 800 GB/s unified memory bandwidth
  • Up to 128GB unified memory accessible by CPU, GPU, and Neural Engine
  • Extremely power-efficient compared to x86 workstations
  • Dual ProRes encode and decode engines for video professionals
  • 32-core Neural Engine for hardware-accelerated machine learning
  • Quiet operation even under sustained heavy workloads
  • Seamless multi-die operation transparent to software

Cons

  • Only available in Mac Studio, no standalone or DIY option
  • No support for external GPUs
  • macOS has a limited game library compared to Windows
  • Memory and storage are not user-upgradeable
  • No hardware-accelerated ray tracing (introduced with M3 family)
  • Discontinued and superseded by M2 Ultra
  • No traditional PCIe expansion slots
  • HDMI 2.0 instead of HDMI 2.1 limits external display options

Competitors & Alternatives

Apple M1 Max

Apple M1 Ultra

  • AMD Ryzen 9 7950X

    High-End Desktop

    Rival
  • Intel Core i9-12900K

    High-End Desktop

    Rival
    Compare head-to-head
  • AMD Threadripper PRO 5975WX

    Workstation

    Rival
  • Intel Xeon W-3375X

    Workstation

    Rival
  • AMD Ryzen 9 5950X

    Creator Desktop

    Rival
  • Direct successor with improved CPU and GPU performance, higher efficiency, and support for newer technologies.

    Compare head-to-head
  • Half the cores at a significantly lower price point, still excellent for most professional creative workloads.

    Compare head-to-head
  • Newer architecture with hardware-accelerated ray tracing, dynamic caching, and better per-core performance.

    Compare head-to-head
  • Custom PC with AMD Ryzen 9 7950X and RTX 4080
    Alt

    Windows compatibility, upgradeability, better gaming performance, and access to NVIDIA CUDA ecosystem.

  • Mac Pro with M2 Ultra
    Alt

    Same chip class but in a tower with PCIe expansion slots for specialized add-in cards.

Our Verdict on Each

Apple M1 MaxRecommended

M1 Max delivers exceptional performance per watt and massive memory bandwidth for a mobile-class SoC, making it an excellent choice for pro creators on the go, though it is not user-upgradeable and lacks discrete GPU flexibility.

Best for: Pro creators who need high single-thread performance, strong GPU acceleration, and large unified memory in a portable MacBook Pro or compact Mac Studio.

Read the full review
Apple M1 UltraRecommended

An extraordinarily powerful workstation-class system-on-chip that delivers exceptional multi-threaded and GPU performance with remarkable power efficiency, though its locked ecosystem and discontinued status make the newer M2 Ultra or M3 Ultra worth considering.

Best for: Professional content creators and workstation users who need massive multi-threaded performance and unified memory within the Apple ecosystem, particularly on the refurbished market.

Read the full review

Frequently Asked Questions

Which is faster for gaming, Apple M1 Max or Apple M1 Ultra?

For gaming, the Apple M1 Ultra leads with a gaming performance score of 72/100 among Apple M1 Max and Apple M1 Ultra.

Which has more cores?

The Apple M1 Ultra has the most cores. Core counts: Apple M1 Max (10 cores), Apple M1 Ultra (20 cores).

Which is faster in multi-core benchmarks?

The Apple M1 Ultra posts the highest multi-core benchmark score. Multi-core results: Apple M1 Ultra (17,500). Benchmark figures are approximate and workload-dependent.