Apple M4 Ultra GPU (80-core) vs M1 Pro GPU (16-core)

We compared two integrated laptop professional GPUs: the Apple M4 Ultra GPU (80-core) with 1280 pipelines and 10240 shaders against the 3 years and 7 months older M1 Pro GPU (16-core) that utilizes 256 pipelines and 2048 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 M1 Pro GPU (16-core) over M4 Ultra GPU (80-core)
Reasons to consider the Apple M4 Ultra GPU (80-core)
  • Performs significantly better (up to 6.5x) in 3DMark Steel Nomad Lite
  • 6.1x higher maximum theoretical performance (32.3 vs 5.3 TFLOPS)
  • Manufactured using a more efficient 3 nm process technology
  • Achieves 5.2x more points in the GeekBench 6 Compute test (218K vs 42K)
  • Has 5x more shading units (10240 vs 2048)

Benchmarks

Graphics cardsโ€™ 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 - 12485
Wild Life Extreme - 9873
Sources: 3DMark [1]

GeekBench 6 OpenCL

GPU test for computational tasks (image processing, photography, computer vision, and ML)
GB6 Compute Score
Background Blur - 74.5 img/sec
Face Detection - 47.3 img/sec
Horizon Detection - 1.73 Gpixels/sec
Edge Detection - 3.32 Gpixels/sec
Gaussian Blur - 1.75 Gpixels/sec
Feature Matching - 0.47 Gpixels/sec
Stereo Matching - 131.2 Gpixels/sec
Particle Physics - 5143 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] โ€“ 502 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 M1 Pro GPU (16-core)
DateBenchmarkResult
๐Ÿ“˜ 2026-03-27 (bbffx)Geekbench 6 OpenCL43467
๐Ÿ“˜ 2026-03-27 (bbffx)Cinebench 20242423
๐Ÿ“˜ 2026-03-27 (bbffx)Steel Nomad Light4048
๐Ÿ“˜ 2025-02-21 (serhii)Geekbench 6 OpenCL40932

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) - 4112
Image Segmentation (HP) - 7488
Image Super Resolution (Q) - 9882
Face Detection (HP) - 14702
Pose Estimation (Q) - 33560
Text Classification (SP) - 2289
Machine Translation (HP) - 1629
Object Detection (SP) - 3633
Depth Estimation (Q) - 16986
Style Transfer (SP) - 53586
Framework - Core ML
Backend - GPU
Sources: Geekbench [9]

Specifications

Technical specifications of Apple M4 Ultra GPU (80-core) and M1 Pro GPU (16-core)

General

Vendor Apple Apple
Build Integrated Integrated
Released May 1, 2025 October 18, 2021
Case Laptop Laptop
Purpose Professional Professional
Segment High-end Mid-range
Architecture Apple M GPU Apple M GPU
GPU Codename Custom -
Rival Equivalent - GeForce RTX 5080 - GeForce RTX 3050 Laptop
Successor - - Apple M5 Pro GPU (20-core)
Recommended CPU - Apple M4 Ultra or above - Apple M1 Pro or above
Used in CPUs - Apple M4 Ultra - Apple M1 Pro
Laptop GPU ranking (#79th place)

Graphics Processing Unit

Base Clock 500 MHz 450 MHz
Boost Clock 1578 MHz 1296 MHz
Shading Units 10240 2048
Texture Mapping Units (TMUs) 640 128
Render Output Units (ROPs) 320 64
Compute Units (Pipelines) 1280 256
Ray-tracing Cores - No
Instructions Per Cycle 2 IPC 2 IPC

Raw Performance

Pixel Fill Rate 505 GPixel/s 83 GPixel/s
Texture Fill Rate 1010 GTexel/s 166 GTexel/s
FLOPS (FP32)
32.3 TFLOPS

Physical

Interface Custom Custom
TGP 120 W 30 W
Manufacturing TSMC TSMC
Fabrication Process 3 nm 5 nm
Transistor Count - 23.2 billion
Max. Temperature - 94ยฐC

Memory

Memory Type System Shared System Shared
Memory Clock 8533 MHz 6400 MHz
Effective Memory Speed - 12800 Mbps
Bus 1024-bit 256-bit
ECC No No
Memory Bandwidth

API

Ray Tracing Yes No
DLSS No No

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