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  3. /Apple M4 Pro (12 Core) vs Apple M2 Max GPU

Apple M4 Pro (12 Core) vs Apple M2 Max GPU

Verdict

Our overall take, at a glance

Key takeaways

  • Apple M4 Pro (12 Core) leads Apple M2 Max GPU overall by 12 points (62 vs 50 out of 100).
  • Apple M4 Pro (12 Core) stands out on Core Specifications Lithography Process: 3 nm, Memory Capacity: 64 GB, Benchmark G3D Mark: 16,500.
Apple M4 Pro (12 Core) leads overall
Apple M4 Pro (12 Core)
62
Apple M2 Max GPU
50
Why it stands out
  • Core Specifications Lithography Process: 3 nm
  • Memory Capacity: 64 GB
  • Benchmark G3D Mark: 16,500

Strengths Profile

Bigger shape = stronger. Whoever reaches further wins that category.

In-depth analysisAI

AI-generated from the cited sources — may be incomplete or inaccurate; verify important details before deciding · generated Jun 2026.

Apple M4 Pro (12 Core)

The Apple M4 Pro is a high-performance system-on-a-chip designed for professional computing applications. With increased core counts and higher bandwidth memory options, it enhances capability across CPU, GPU, and Neural Processing tasks. It is best suited for users who require significant processing power for demanding creative or development workflows.

Best for Video EditingBest for Software DevelopmentBest for Content Creation
Pros
  • The dedicated M4 Pro design supports a high number of cores in both the CPU (up to 14) and GPU (up to 20).
  • System memory options are robust, allowing configurations that reach up to 64GB unified memory with high bandwidth.
  • Integration includes advanced graphics features like hardware-accelerated ray tracing and improved Neural Engine capabilities, enhancing creative throughput.
  • It is designed for various form factors including Mac Mini and MacBook Pro models.
Cons
  • The architecture relies on unified memory, which means all components share the same pool of resources up to the physical limit.
  • While powerful, accessing maximum performance requires selecting a model with higher core counts across the board.
Source
  • Apple M4 - WikipediaProvided detailed specifications including core counts and memory options for the M4 Pro.

Generated Jun 28, 2026

Apple M2 Max GPU

AI analysis isn't ready yet

We haven't generated an in-depth write-up for Apple M2 Max GPU yet. The specs, scores and strengths profile above still cover it — check back later for the AI summary.

Value for Money

Which is the better deal for the price

Enter today's price for each product to see which offers better value. Use the same currency for both.

Apple M4 Pro (12 Core)

Check Price on Amazon

Apple M2 Max GPU

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Performance

Higher benchmark score = faster

Apple M4 Pro (12 Core)16,500
Apple M2 Max GPU13,500
See the raw benchmark values →

Benchmark score — a measured indicator of raw performance, not a guarantee of real-world speed.

Detailed Specifications

The full spec sheet, side by side

Core Specifications

Feature
Apple M4 Pro (12 Core)
Apple M2 Max GPU
Base Frequency
2 GHz
N/A
Base Power
12 W
N/A
Maximum Frequency
2 GHz
1.398 GHz
Maximum Power
25 W
54 W
Lithography Process
3 nm
5 nm

Memory

Feature
Apple M4 Pro (12 Core)
Apple M2 Max GPU
Capacity
64 GB
32 GB
Technology
Bus Width
192 bit
512 bit
Bandwidth
273 GB/s
400 GB/s
Is Shared
Yes
Yes

API Support

Feature
Apple M4 Pro (12 Core)
Apple M2 Max GPU
DirectX Version
0
N/A
OpenGL Version
4.1
N/A
Vulkan Version
1.3
N/A
OpenCL Version
1.2
N/A

Theoretical Performance

Feature
Apple M4 Pro (12 Core)
Apple M2 Max GPU
Pixel Rate
128 GP/s
N/A
Texture Rate
256 GT/s
N/A
Performance (FP16)
16.4 TFLOPS
N/A
Performance (FP32)
8.2 TFLOPS
13.6 TFLOPS
Performance (FP64)
118.75 GFLOPS
N/A

Benchmark

Feature
Apple M4 Pro (12 Core)
Apple M2 Max GPU
G3D Mark
16,500
13,500

Miscellaneous

Feature
Apple M4 Pro (12 Core)
Apple M2 Max GPU
Release Date
October 30, 2024
N/A
Platform
N/A

Specification Note

Specifications are compiled from official manufacturer data and other reliable internet sources. Some features may vary by region or model configuration.

LET'S
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© 2026 Let's Compare. All rights reserved.

A project by saygiselim.dev

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