Apple M6 GPU (12-core) vs M4 Pro GPU (20-core)

We compared two integrated laptop graphics cards: the Apple M6 GPU (12-core) with 192 pipelines and 1536 shaders against the 1 year and 11 months older M4 Pro GPU (20-core) that utilizes 320 pipelines and 2560 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Review

General comparison of performance in games, applications, power efficiency, and other metrics
Gaming
Performance in DirectX, OpenCL, and Vulkan games
Workstation
Perf. in 3D modeling, video editing and rendering apps
Energy Efficiency
Power consumption efficiency in different scenarios
NanoReview Final Score
Overall video card score
Scores marked with a red asterisk (**) represent initial estimates from early testing.

Key differences

Key distinctions and advantages of M4 Pro GPU (20-core) over M6 GPU (12-core)
Reasons to consider the Apple M6 GPU (12-core)
  • Manufactured using a more efficient 2 nm process technology
Reasons to consider the Apple M4 Pro GPU (20-core)
  • 65% higher maximum theoretical performance (8.1 vs 4.9 TFLOPS)
  • Has 61% higher memory bandwidth: 273 vs 170 GB/s
  • Has 67% more shading units (2560 vs 1536)

Benchmarks

Graphics cards’ performance in recent benchmarking apps

3D Mark

Multiplatform graphics benchmark suite that directly correlates with performance in modern games
Steel Nomad Lite Score
Solar Bay - 33418
Wild Life Extreme - 19535
Sources: 3DMark [1]

GeekBench 6 GPU Compute

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 125.1 img/sec
Face Detection - 80 img/sec
Horizon Detection - 2.88 Gpixels/sec
Edge Detection - 4.22 Gpixels/sec
Gaussian Blur - 2.98 Gpixels/sec
Feature Matching - 0.8 Gpixels/sec
Stereo Matching - 235 Gpixels/sec
Particle Physics - 9516.1 FPS
API - OpenCL
Sources: Geekbench [3]

Cinebench 2024 GPU

Hardware benchmark using Maxon's Cinema 4D rendering engine
Cinebench 2024 GPU

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 406 samples

Artificial Intelligence Tests

Performance in machine learning and artificial intelligence tasks

GeekBench 6 ML

Tests throughput of AI operations in single, half, and quantized precision
GB6 ML Single Precision
GB6 ML Half Precision
GB6 ML Quantized
Image Classification (SP) - 8046
Image Segmentation (HP) - 15443
Image Super Resolution (Q) - 20807
Face Detection (HP) - 30860
Pose Estimation (Q) - 56783
Text Classification (SP) - 2888
Machine Translation (HP) - 6167
Object Detection (SP) - 7592
Depth Estimation (Q) - 33607
Style Transfer (SP) - 126726
Framework - Core ML
Backend - GPU
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Apple M6 GPU (12-core) and M4 Pro GPU (20-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released August 25, 2026 October 29, 2024
Case Laptop Laptop
Purpose Generic Professional
Segment Mid-range Mid-range
Architecture Apple M GPU Apple M GPU
GPU Codename Custom Custom
Rival Equivalent - Adreno X2-90 - GeForce RTX 4060 Laptop
Successor - - Apple M5 Pro GPU (20-core)
Recommended CPU - Apple M6 (12-Core) or above - Apple M4 Pro (14-Core) or above
Used in CPUs - Apple M6 (12-Core) - Apple M4 Pro (14-Core)
Laptop GPU ranking (27th and 38th place)

Graphics Processing Unit

Base Clock - 500 MHz
Boost Clock 1600 MHz 1578 MHz
Shading Units 1536 2560
Texture Mapping Units (TMUs) 96 160
Render Output Units (ROPs) 80 80
Compute Units (Pipelines) 192 320
Tensor Cores No -
Ray-tracing Cores No -
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 128 GPixel/s 126 GPixel/s
Texture Fill Rate 154 GTexel/s 252 GTexel/s
FLOPS (FP32)
4.9 TFLOPS
8.1 TFLOPS

Physical

Interface Custom Custom
TGP - 26 W
Manufacturing TSMC TSMC
Fabrication Process 2 nm 3 nm
Max. Temperature - 100°C

Memory

Memory Type System Shared System Shared
Memory Clock 10667 MHz 8533 MHz
Effective Memory Speed - 15000 Mbps
Bus 128-bit 192-bit
ECC No No
Memory Bandwidth
170 GB/s
273 GB/s

API

CUDA No -
Ray Tracing Yes Yes
DLSS No No

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