Apple M4 Ultra GPU (80-core) vs M3 Ultra GPU (80-core)

We performed a head-to-head comparison of the Apple M4 Ultra GPU (80-core) with 1280 pipelines and 10240 shaders against the M3 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 M3 Ultra GPU (80-core) over M4 Ultra GPU (80-core)
Reasons to consider the Apple M4 Ultra GPU (80-core)
  • Performs better (up to 33%) in 3DMark Steel Nomad Lite
  • Achieves 48% more points in the GeekBench 6 Compute test (218K vs 147K)

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 - 63597
Wild Life Extreme - 47814
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 204.5 img/sec
Face Detection - 126 img/sec
Horizon Detection - 6.53 Gpixels/sec
Edge Detection - 10.7 Gpixels/sec
Gaussian Blur - 9.5 Gpixels/sec
Feature Matching - 1.05 Gpixels/sec
Stereo Matching - 560.3 Gpixels/sec
Particle Physics - 25267.8 FPS
API OpenCL 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
Sources: Blender [9]31 samples

Recent User Tests

The latest benchmark tests that have been submitted by users
Apple M4 Ultra GPU (80-core)
No benchmark results yet
Apple M3 Ultra GPU (80-core)
DateBenchmarkResult
📘 2025-03-16 (Tyler)GeekBench145706
📘 2025-03-16 (Tyler)Cinebench 202419448

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) - 8094
Image Segmentation (HP) - 24595
Image Super Resolution (Q) - 25190
Face Detection (HP) - 38337
Pose Estimation (Q) - 111021
Text Classification (SP) - 2786
Machine Translation (HP) - 4339
Object Detection (SP) - 7668
Depth Estimation (Q) - 37488
Style Transfer (SP) - 244483
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

Technical specifications of Apple M4 Ultra GPU (80-core) and M3 Ultra GPU (80-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released May 1, 2025 March 5, 2025
Case Laptop Desktop
Purpose Professional Professional
Segment High-end High-end
Architecture Apple M GPU Apple M GPU
GPU Codename Custom Custom
Rival Equivalent - GeForce RTX 5080 - GeForce RTX 5070 Ti
Successor - - Apple M4 Ultra GPU (80-core)
Recommended CPU - Apple M4 Ultra or above - Apple M3 Ultra or above
Used in CPUs - Apple M4 Ultra - Apple M3 Ultra
Desktop GPU rating (#30th place)

Graphics Processing Unit

Base Clock 500 MHz -
Boost Clock 1578 MHz 1380 MHz
Shading Units 10240 10240
Texture Mapping Units (TMUs) 640 640
Render Output Units (ROPs) 320 320
Compute Units (Pipelines) 1280 1280
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 505 GPixel/s 442 GPixel/s
Texture Fill Rate 1010 GTexel/s 883 GTexel/s
FLOPS (FP32)
32.3 TFLOPS

Physical

Interface Custom Custom
TGP 120 W 140 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 3 nm
Transistor Count - 184 billion
Max. Temperature - 100°C

Memory

Memory Type System Shared System Shared
Memory Clock 8533 MHz 6400 MHz
Bus 1024-bit 1024-bit
ECC No No
Memory Bandwidth

API

Ray Tracing Yes Yes
DLSS No No

Cast your vote

Choose between two graphics cards
12 (85.7%)
2 (14.3%)
Total votes: 14

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