Quick Answer
The Apple M4 Ultra and M3 Ultra are high-performance system-on-a-chip (SoC) designs intended for professional desktop workstations. The M4 Ultra is the newer generation, typically offering improvements in CPU and GPU performance, enhanced neural engine capabilities for AI tasks, and more advanced media engines. The M3 Ultra represents the previous generation, which generally provides robust performance for demanding professional applications.
Apple M4 Ultra vs Apple M3 Ultra: Full Comparison
Introduction
For professionals and power users invested in the Apple ecosystem, the choice of silicon is a critical decision that impacts workflow, rendering times, and overall system responsiveness. This comparison examines the key architectural and performance differences between two flagship desktop-class chips: the Apple M4 Ultra and its predecessor, the Apple M3 Ultra. Understanding these distinctions can help in evaluating which platform aligns with specific computational needs, from video editing and 3D rendering to machine learning development.
Performance & Architecture
The core of the comparison lies in the performance uplift and architectural changes between the two generations. The M4 Ultra is built on a more advanced manufacturing process, which typically allows for greater efficiency and higher potential clock speeds.
- CPU Cores: Both chips feature a high core count with a mix of performance and efficiency cores. The M4 Ultra’s CPU cores are a newer design, often delivering higher instructions per clock (IPC), resulting in faster single-threaded and multi-threaded performance for tasks like code compilation and complex simulations.
- GPU Architecture: The GPU in the M4 Ultra usually incorporates a newer generation of graphics cores with features like hardware-accelerated ray tracing and mesh shading. This translates to faster rendering in professional 3D applications and improved performance in graphics-intensive workloads.
- Unified Memory: Both SoCs utilize unified memory architecture (UMA). The M4 Ultra often supports higher bandwidth memory, which is crucial for moving large assets like video frames or 3D models quickly between the CPU, GPU, and neural engine.
AI & Machine Learning
The Neural Engine is a specialized hardware block for accelerating machine learning tasks. This area typically sees significant generational improvements.
- Neural Engine: The M4 Ultra generally features a Neural Engine with a higher number of cores and increased performance, measured in tera-operations per second (TOPS). This accelerates tasks like object detection in video, audio processing, and AI-powered features in creative software.
- AI Performance: Applications that leverage Core ML and other AI frameworks can expect notably faster inference times on the M4 Ultra compared to the M3 Ultra, which can streamline workflows in AI-assisted editing and development.
Media Engine & ProRes
Both chips include dedicated media engines for encoding and decoding video, a vital feature for video professionals.
- Codec Support: The M4 Ultra’s media engine typically adds support for newer video codecs and enhances performance for existing ones like H.264, HEVC, and ProRes.
- ProRes Acceleration: While both chips have hardware-accelerated ProRes encode and decode, the M4 Ultra can generally handle more streams of high-resolution ProRes video simultaneously, benefiting multi-camera editing workflows.
- Display Support: The M4 Ultra often supports driving a higher number of external displays or displays with higher resolutions and refresh rates, which is important for multi-monitor desktop setups.
Power Efficiency & Thermal Design
Despite being designed for desktops where power constraints are less severe, efficiency remains important for thermal management and system noise.
- Process Node: The M4 Ultra is fabricated on a more advanced semiconductor process node. This generally allows it to deliver higher performance at a similar power level as the M3 Ultra, or similar performance at a lower power draw, contributing to cooler and quieter system operation.
- Thermal Profile: The improved efficiency of the M4 Ultra can influence the thermal design of the host computer, potentially allowing for more compact chassis designs without compromising sustained performance.
Comparison Table
| Feature | Apple M4 Ultra | Apple M3 Ultra |
|---|---|---|
| Process Technology | Second-generation 3nm (N3E) | 3nm (N3B) |
| CPU Cores (P-Cores / E-Cores) | Higher-performance next-gen cores (e.g., 32-core: 24P / 8E) | Performance cores (e.g., 32-core: 24P / 8E) |
| GPU Cores | Next-generation architecture with hardware ray tracing (e.g., 80-core) | Architecture with hardware ray tracing (e.g., 80-core) |
| Neural Engine | Higher-core count (e.g., 48-core), significantly higher TOPS | Dedicated cores (e.g., 32-core) |
| Unified Memory | Up to 256GB, higher bandwidth | Up to 192GB |
| Media Engine | Enhanced, supports more ProRes streams, AV1 decode | Hardware-accelerated H.264, HEVC, ProRes, ProRes RAW |
| Display Support | Typically supports more/higher-resolution external displays | Supports multiple high-resolution external displays |
Frequently Asked Questions (FAQ)
What is the main difference between the Apple M4 Ultra and M3 Ultra?
The main differences are generational. The M4 Ultra is built on a more refined manufacturing process and features newer CPU, GPU, and Neural Engine architectures. This typically results in higher performance, better power efficiency, and enhanced capabilities for AI and media processing compared to the M3 Ultra.
Is the Apple M4 Ultra significantly better for video editing?
Generally, yes. The M4 Ultra’s enhanced media engine and higher memory bandwidth usually translate to faster rendering, smoother playback of multiple high-resolution streams, and more efficient encoding/decoding of codecs like ProRes. The performance gain can be noticeable in professional, time-sensitive workflows.
Which chip is more power-efficient, the M4 Ultra or M3 Ultra?
The M4 Ultra typically offers better power efficiency due to its more advanced fabrication process. This means it can deliver similar or greater performance while consuming less power, which can lead to benefits in thermal management and system acoustics.
Does the Apple M4 Ultra have a better Neural Engine?
Yes, the Neural Engine in the M4 Ultra generally has more cores and delivers substantially higher computational performance for machine learning tasks (measured in TOPS). This accelerates AI/ML features in applications like image upscaling, noise reduction, and language models.
Final Thoughts
The Apple M4 Ultra represents a logical and expected step forward from the M3 Ultra, bringing improvements across CPU, GPU, AI, and media processing domains. For users whose work consistently pushes the limits of their current system—particularly in AI-driven applications, 8K video production, or complex 3D rendering—the performance and efficiency gains of the M4 Ultra are tangible. The M3 Ultra, however, remains an exceptionally capable platform that continues to handle demanding professional workloads effectively. The choice between them often depends on the specific performance requirements of the user’s applications and the value placed on having the latest architectural advancements.