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

We compared two integrated laptop professional GPUs: the Apple M4 Ultra GPU (80-core) with 1280 pipelines and 10240 shaders against the 6 months older Max GPU (32-core) that utilizes 512 pipelines and 4096 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 Max GPU (32-core) over M4 Ultra GPU (80-core)
Reasons to consider the Apple M4 Ultra GPU (80-core)
  • Performs significantly better (up to 2.1x) in 3DMark Steel Nomad Lite
  • 2.5x higher maximum theoretical performance (32.3 vs 12.9 TFLOPS)
  • Achieves 2.2x more points in the GeekBench 6 Compute test (218K vs 100K)
  • 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 - 50957
Wild Life Extreme - 30044
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 174.8 img/sec
Face Detection - 112 img/sec
Horizon Detection - 4.19 Gpixels/sec
Edge Detection - 6.3 Gpixels/sec
Gaussian Blur - 4.69 Gpixels/sec
Feature Matching - 0.98 Gpixels/sec
Stereo Matching - 352.1 Gpixels/sec
Particle Physics - 14254.6 FPS
API OpenCL OpenCL
Sources: Geekbench [3]

Blender

Rendering performance test for 3D modeling
Sources: Blender [9] – 183 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) - 8624
Image Segmentation (HP) - 20392
Image Super Resolution (Q) - 21752
Face Detection (HP) - 34099
Pose Estimation (Q) - 77846
Text Classification (SP) - 2993
Machine Translation (HP) - 5658
Object Detection (SP) - 7933
Depth Estimation (Q) - 37622
Style Transfer (SP) - 173882
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

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

General

Vendor Apple Apple
Build Integrated Integrated
Released May 1, 2025 October 30, 2024
Case Laptop Laptop
Purpose Professional Professional
Segment High-end Mid-range
Architecture Apple M GPU Apple M GPU
GPU Codename Custom Custom
Rival Equivalent - GeForce RTX 5080 - GeForce RTX 4070 Laptop
Successor - - Apple M5 Max GPU (32-core)
Recommended CPU - Apple M4 Ultra or above - Apple M4 Max (14-Core) or above
Used in CPUs - Apple M4 Ultra - Apple M4 Max (14-Core)
Laptop GPU ranking (#19th place)

Graphics Processing Unit

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

Raw Performance

Pixel Fill Rate 505 GPixel/s 202 GPixel/s
Texture Fill Rate 1010 GTexel/s 404 GTexel/s
FLOPS (FP32)
32.3 TFLOPS
12.9 TFLOPS

Physical

Interface Custom Custom
TGP 120 W 51 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 3 nm
Max. Temperature - 100°C

Memory

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

API

Ray Tracing Yes Yes
DLSS No No

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Total votes: 4

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