Apple M6 GPU (12-core) vs M1 GPU (8-core)

We compared two integrated laptop graphics cards: the Apple M6 GPU (12-core) with 192 pipelines and 1536 shaders against the 5 years and 10 months older M1 GPU (8-core) that utilizes 128 pipelines and 1024 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 GPU (8-core) over M6 GPU (12-core)
Reasons to consider the Apple M6 GPU (12-core)
  • Manufactured using a more efficient 2 nm process technology
  • 88% higher maximum theoretical performance (4.9 vs 2.6 TFLOPS)
  • Has 2.5x higher memory bandwidth: 170 vs 68.2 GB/s
  • Has 50% more shading units (1536 vs 1024)

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 - 6317
Wild Life Extreme - 4966
Sources: 3DMark [1]

GeekBench 6 GPU Compute

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 38.3 img/sec
Face Detection - 23 img/sec
Horizon Detection - 0.76 Gpixels/sec
Edge Detection - 1.33 Gpixels/sec
Gaussian Blur - 0.87 Gpixels/sec
Feature Matching - 0.27 Gpixels/sec
Stereo Matching - 69.9 Gpixels/sec
Particle Physics - 2766.4 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] – 307 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) - 1400
Image Segmentation (HP) - 2280
Image Super Resolution (Q) - 3402
Face Detection (HP) - 5638
Pose Estimation (Q) - 12027
Text Classification (SP) - 2324
Machine Translation (HP) - 4296
Object Detection (SP) - 1530
Depth Estimation (Q) - 7675
Style Transfer (SP) - 17293
Framework - Core ML
Backend - CPU
Sources: Geekbench [9], [10]

Specifications

Technical specifications of Apple M6 GPU (12-core) and M1 GPU (8-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released August 25, 2026 November 20, 2020
Case Laptop Laptop
Purpose Generic Professional
Segment Mid-range Mid-range
Architecture Apple M GPU Apple M GPU
GPU Codename Custom -
Rival Equivalent - Adreno X2-90 - GeForce GTX 1050 Ti Mobile
Successor - - Apple M5 GPU (10-Core)
Recommended CPU - Apple M6 (12-Core) or above - Apple M1 or above
Used in CPUs - Apple M6 (12-Core) - Apple M1
Laptop GPU ranking (27th and 105th place)

Graphics Processing Unit

Base Clock - 450 MHz
Boost Clock 1600 MHz 1278 MHz
Shading Units 1536 1024
Texture Mapping Units (TMUs) 96 64
Render Output Units (ROPs) 80 32
Compute Units (Pipelines) 192 128
Tensor Cores No -
Ray-tracing Cores No No
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 128 GPixel/s 41 GPixel/s
Texture Fill Rate 154 GTexel/s 82 GTexel/s
FLOPS (FP32)
4.9 TFLOPS
2.6 TFLOPS

Physical

Interface Custom Custom
TGP - 15 W
Manufacturing TSMC Intel
Fabrication Process 2 nm 5 nm
Transistor Count - 11.6 billion
Max. Temperature - 94°C

Memory

Memory Type System Shared System Shared
Memory Clock 10667 MHz 4266 MHz
Effective Memory Speed - 8532 Mbps
Bus 128-bit 128-bit
ECC No No
Memory Bandwidth
170 GB/s
68.2 GB/s

API

CUDA No -
Ray Tracing Yes No
DLSS No No

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