Apple M6 GPU (12-core) vs M1 Max GPU (32-core)

We compared two integrated laptop graphics cards: the Apple M6 GPU (12-core) with 192 pipelines and 1536 shaders against the 4 years and 11 months older M1 Max GPU (32-core) that utilizes 512 pipelines and 4096 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
DeviceFacts 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 M1 Max GPU (32-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 M1 Max GPU (32-core)
  • 2.2x higher maximum theoretical performance (10.6 vs 4.9 TFLOPS)
  • Has 2.4x higher memory bandwidth: 409.6 vs 170 GB/s
  • Has 2.7x more shading units (4096 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 - 22586
Wild Life Extreme - 19880
Sources: 3DMark [1]

GeekBench 6 GPU Compute

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 120.7 img/sec
Face Detection - 78.9 img/sec
Horizon Detection - 3.18 Gpixels/sec
Edge Detection - 6.15 Gpixels/sec
Gaussian Blur - 3.44 Gpixels/sec
Feature Matching - 0.62 Gpixels/sec
Stereo Matching - 229.8 Gpixels/sec
Particle Physics - 8822.9 FPS
API - OpenCL
Sources: Geekbench [3]

Blender

Rendering performance test for 3D modeling
Blender GPU
Sources: Blender [9] – 669 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) - 5466
Image Segmentation (HP) - 12415
Image Super Resolution (Q) - 15930
Face Detection (HP) - 23179
Pose Estimation (Q) - 58520
Text Classification (SP) - 2299
Machine Translation (HP) - 1713
Object Detection (SP) - 5388
Depth Estimation (Q) - 26458
Style Transfer (SP) - 98278
Framework - Core ML
Backend - GPU
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Apple M6 GPU (12-core) and M1 Max GPU (32-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released August 25, 2026 October 18, 2021
Case Laptop Laptop
Purpose Generic Professional
Segment Mid-range High-end
Architecture Apple M GPU Apple M GPU
GPU Codename Custom -
Rival Equivalent - Adreno X2-90 - GeForce RTX 3060 Laptop
Successor - - Apple M5 Max GPU (40-core)
Recommended CPU - Apple M6 (12-Core) or above - Apple M1 Max or above
Used in CPUs - Apple M6 (12-Core) - Apple M1 Max
Laptop GPU ranking (27th and 54th place)

Graphics Processing Unit

Base Clock - 450 MHz
Boost Clock 1600 MHz 1296 MHz
Shading Units 1536 4096
Texture Mapping Units (TMUs) 96 256
Render Output Units (ROPs) 80 128
Compute Units (Pipelines) 192 512
Tensor Cores No -
Ray-tracing Cores No No
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 128 GPixel/s 166 GPixel/s
Texture Fill Rate 154 GTexel/s 332 GTexel/s
FLOPS (FP32)
4.9 TFLOPS
10.6 TFLOPS

Physical

Interface Custom Custom
Manufacturing TSMC TSMC
Fabrication Process 2 nm 5 nm
Transistor Count - 46.4 billion
Max. Temperature - 94°C

Memory

Memory Type System Shared System Shared
Memory Clock 10667 MHz 6400 MHz
Effective Memory Speed - 12800 Mbps
Bus 128-bit 512-bit
ECC No No
Memory Bandwidth
170 GB/s
409.6 GB/s

API

CUDA No -
Ray Tracing Yes No
DLSS No No

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