Apple M5 Max GPU (32-core) vs M4 Ultra GPU (80-core)

We compared two integrated laptop professional GPUs: the Apple M5 Max GPU (32-core) with 512 pipelines and 4096 shaders against the 10 months older M4 Ultra GPU (80-core) that utilizes 1280 pipelines and 10240 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Please note that the tests on the Apple M4 Ultra GPU (80-core) are done on an engineering sample provided by our insiders. The data will be more accurate after the final version of this GPU is available.

Key differences

Key distinctions and advantages of M4 Ultra GPU (80-core) over M5 Max GPU (32-core)
Reasons to consider the Apple M4 Ultra GPU (80-core)
  • Performs significantly better (up to 69%) in 3DMark Steel Nomad Lite
  • 2.4x higher maximum theoretical performance (32.3 vs 13.3 TFLOPS)
  • Achieves 76% more points in the GeekBench 6 Compute test (218K vs 124K)
  • Has 2.5x more shading units (10240 vs 4096)

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 69849 -
Wild Life Extreme 35790 -
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur 234.8 img/sec -
Face Detection 158.1 img/sec -
Horizon Detection 4.48 Gpixels/sec -
Edge Detection 6.62 Gpixels/sec -
Gaussian Blur 7.19 Gpixels/sec -
Feature Matching 1.17 Gpixels/sec -
Stereo Matching 384.9 Gpixels/sec -
Particle Physics 17866.8 FPS -
API OpenCL OpenCL
Sources: Geekbench [3]

Blender

Rendering performance test for 3D modeling
Sources: Blender [9]37 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) 10338 -
Image Segmentation (HP) 42053 -
Image Super Resolution (Q) 41729 -
Face Detection (HP) 71929 -
Pose Estimation (Q) 287035 -
Text Classification (SP) 2958 -
Machine Translation (HP) 9156 -
Object Detection (SP) 9951 -
Depth Estimation (Q) 82338 -
Style Transfer (SP) 264780 -
Framework Core ML -
Backend GPU -
Sources: Geekbench [9]

Specifications

Technical specifications of Apple M5 Max GPU (32-core) and M4 Ultra GPU (80-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released March 3, 2026 May 1, 2025
Case Laptop Laptop
Purpose Professional Professional
Segment Mid-range High-end
Architecture Apple M GPU Apple M GPU
GPU Codename Custom Custom
Rival Equivalent - - GeForce RTX 5080
Recommended CPU - Apple M5 Max (32-сore GPU) or above - Apple M4 Ultra or above
Used in CPUs - Apple M5 Max (32-сore GPU) - Apple M4 Ultra
Laptop GPU ranking (#9th place)

Graphics Processing Unit

Base Clock - 500 MHz
Boost Clock 1620 MHz 1578 MHz
Shading Units 4096 10240
Texture Mapping Units (TMUs) 256 640
Render Output Units (ROPs) 128 320
Compute Units (Pipelines) 512 1280
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 207 GPixel/s 505 GPixel/s
Texture Fill Rate 415 GTexel/s 1010 GTexel/s
FLOPS (FP32)
13.3 TFLOPS
32.3 TFLOPS

Physical

Interface Custom Custom
TGP - 120 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 3 nm
Transistor Count 28 billion -
Max. Temperature 100°C -

Memory

Memory Type System Shared System Shared
Memory Clock 9600 MHz 8533 MHz
Bus 384-bit 1024-bit
ECC No No
Memory Bandwidth

API

Ray Tracing Yes Yes
DLSS No No

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