Apple M5 Ultra GPU (80-core) vs M1 Ultra GPU (64-core)

We performed a head-to-head comparison of the Apple M5 Ultra GPU (80-core) with 1280 pipelines and 10240 shaders against the 4 years and 6 months older M1 Ultra GPU (64-core) that utilizes 1024 pipelines and 8192 shaders. Here you will find complete details about specs, efficiency, performance tests, and more.

Please note that the tests on the Apple M5 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 M1 Ultra GPU (64-core) over M5 Ultra GPU (80-core)
Reasons to consider the Apple M5 Ultra GPU (80-core)
  • Manufactured using a more efficient 3 nm process technology
  • 57% higher maximum theoretical performance (33.2 vs 21.2 TFLOPS)
  • Has 50% higher memory bandwidth: 1228.8 vs 819.2 GB/s
  • Has 25% more shading units (10240 vs 8192)

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 - 36712
Wild Life Extreme - 29343
Sources: 3DMark [1]

GeekBench 6 GPU Compute

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 157.3 img/sec
Face Detection - 108.7 img/sec
Horizon Detection - 5.07 Gpixels/sec
Edge Detection - 10.7 Gpixels/sec
Gaussian Blur - 6.59 Gpixels/sec
Feature Matching - 0.73 Gpixels/sec
Stereo Matching - 293.4 Gpixels/sec
Particle Physics - 14154.4 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
Sources: Blender [9]68 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) - 4834
Image Segmentation (HP) - 14458
Image Super Resolution (Q) - 13757
Face Detection (HP) - 23618
Pose Estimation (Q) - 80481
Text Classification (SP) - 2265
Machine Translation (HP) - 1798
Object Detection (SP) - 4975
Depth Estimation (Q) - 25755
Style Transfer (SP) - 135609
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

Technical specifications of Apple M5 Ultra GPU (80-core) and M1 Ultra GPU (64-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released August 25, 2026 March 8, 2022
Case Desktop Laptop
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 4070 Laptop
Recommended CPU - Apple M5 Ultra (36-Core) or above - Apple M1 Ultra or above
Used in CPUs - Apple M5 Ultra (36-Core) - Apple M1 Ultra
Laptop GPU ranking (#30th place)

Graphics Processing Unit

Base Clock 500 MHz 450 MHz
Boost Clock 1620 MHz 1296 MHz
Shading Units 10240 8192
Texture Mapping Units (TMUs) 640 512
Render Output Units (ROPs) 320 256
Compute Units (Pipelines) 1280 1024
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 518 GPixel/s 332 GPixel/s
Texture Fill Rate 1037 GTexel/s 664 GTexel/s
FLOPS (FP32)
33.2 TFLOPS

Physical

Interface Custom Custom
TGP - 120 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 5 nm
Transistor Count - 92.8 billion
Max. Temperature - 94°C

Memory

Memory Type System Shared System Shared
Memory Clock 9600 MHz 6400 MHz
Effective Memory Speed - 12800 Mbps
Bus 1024-bit 1024-bit
ECC No No
Memory Bandwidth
1228.8 GB/s

API

Ray Tracing Yes No
DLSS No No

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