They are closely matched: Apple M5 GPU scores 35/100 and Apple M4 GPU (10 Core) scores 34/100 in our overall comparison — within 1 point. Neither is a clear winner overall, so the decision comes down to the specific features and price that matter most to you.
Apple M5 GPU vs Apple M4 GPU (10 Core)
Updated Sep 2026 · Scored by the Let’s Compare Data Engine · How we score
For most buyers the Apple M4 GPU (10 Core) is the better pick — it scores 38/100 to the Apple M5 GPU's 33, leading on API Support and Theoretical Performance. Choose the Apple M5 GPU instead if memory matters most to you, where it comes out ahead.
- Apple M5 GPU has no published G3D Mark result, so it scores lower.
- Apple M4 GPU (10 Core) has no published G3D Mark result, so it scores lower.
Verdict
Our overall take, at a glance
Key takeaways
- Apple M4 GPU (10 Core) leads Apple M5 GPU overall by 5 points (38 vs 33 out of 100).
Apple M4 GPU (10 Core) leads overall
Apple M4 GPU (10 Core)
38
Apple M5 GPU
33
In-depth analysisAI
AI-generated from the cited sources — may be incomplete or inaccurate; verify important details before deciding · generated Sep 2026.
Apple M5 GPU
The Apple M5 GPU is an integrated graphics architecture built into the Apple M5 system-on-chip family, powering devices such as the MacBook Pro, iPad Pro, and Apple Vision Pro. Built on TSMC's 3-nanometer process, this GPU scales from an 8-core configuration up to an 80-core variant in higher-end models, utilizing a unified memory system to pool resources directly with the CPU.
Best for Hardware-accelerated ray tracing in 3D modeling and rendering applicationsBest for On-device machine learning development utilizing Tensor APIs in Metal 4
Pros
- Dedicated Neural Accelerator integrated into each individual GPU core to accelerate local artificial intelligence calculations
- Support for hardware-accelerated mesh shading and an updated third-generation ray-tracing engine
- High-speed LPDDR5X unified memory architecture capable of reaching bandwidth speeds up to 9600 MT/s
Cons
- System-on-chip design prevents any post-purchase memory or GPU core upgrades
- Base models are subject to binning, meaning some configurations receive fewer active graphics cores
Apple M4 GPU (10 Core)
The Apple M4 is an advanced System-on-a-chip designed by Apple that integrates CPU, GPU, NPU, and other components onto a single piece of silicon. It represents the latest iteration in the Apple Silicon series, optimized for high performance across various devices including iMacs and MacBooks. Models featuring 10 cores are geared toward users who require significant power for demanding creative or computational workloads.
Best for creative professionalsBest for developersBest for advanced media consumption
Pros
- The architecture is built on TSMC's advanced 3nm process.
- It provides enhanced hardware acceleration features, including ray tracing support.
- Performance analysis indicates a strong single-core performance advantage.
- The integrated Neural Engine significantly boosts processing throughput (NPU) compared to predecessors.
Cons
- The M4 series utilizes an ARMv9.2a architecture, which differs from some specialized instruction set extensions.
- While powerful, its full memory potential varies depending on the specific model variant and bandwidth available.
- Its introduction timeline established it as a successor in a rapidly evolving silicon landscape.
Value for Money
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Apple M5 GPU
Apple M4 GPU (10 Core)
Review Videos
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Detailed Specifications
The full spec sheet, side by side
Frequently Asked Questions
Common questions about Apple M5 GPU vs Apple M4 GPU (10 Core) comparison
Apple M5 GPU and Apple M4 GPU (10 Core) are compared side by side above across every spec in the gpus category — including performance, features and design — each scored 0–100 so you can see exactly where one leads the other. Our overall scores are 35/100 for Apple M5 GPU and 34/100 for Apple M4 GPU (10 Core).
It's close — Apple M5 GPU (35/100) and Apple M4 GPU (10 Core) (34/100) score almost the same. Pick based on price and the individual specs that matter most to you; the comparison above shows where each one pulls ahead.
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