CPU Comparison
Apple M1 vs Apple M1 Max
A side-by-side comparison of specs, performance and value. The Apple M1 is an 8-core ARM-based system-on-a-chip (SoC) that marked Apple’s transition from Intel to its own Apple Silicon for the Mac, combining four high‑performance and four efficiency cores, an 8‑core integrated GPU, and a 16‑core Neural Engine on a 5 nm process.
The Bottom Line
Overview & Launch
Specifications Compared
Performance Compared
Productivity
Gaming
Virtualization
Efficiency
Specialized Performance
AI / ML
- 16‑core Neural Engine accelerates Core ML models
- CPU and GPU also provide ML accelerators for framework‑level ops
- Not designed for large‑scale training or server‑side inference
- 16-core Neural Engine accelerates Core ML models for imaging, video analysis, and audio tasks.
- Unified memory allows running mid-sized models and batching within device memory.
- Large-scale model training is better suited to data center GPUs; M1 Max excels at inference rather than training.
Content Creation
Gaming
- 8‑core GPU comparable to low‑end discrete GPUs of its era in some Metal titles
- Rosetta 2 adds overhead for x86 games; some titles have compatibility or performance quirks
- 16 GB memory limit and 8 GPU cores cap texture resolutions and frame rates in modern AAA games
- Integrated GPU scales well in Apple-optimized games and titles supporting Metal, but driver ecosystem is limited compared to Windows/PC GPUs.
- AAA titles often require reduced settings or resolutions.
- eGPU support is not available on Apple Silicon, limiting future GPU upgrades.
Industry Impact
Best CPU by Use Case
Target Audience
Strengths & Weaknesses
Pros
- Excellent single‑thread performance and responsiveness
- Outstanding performance per watt and battery life
- Integrated GPU much faster than old Intel UHD/Iris in Macs
- Unified memory simplifies development and improves efficiency
- Silent, fanless operation in MacBook Air and Mac mini under light loads
- Strong on‑device ML inference via Neural Engine
Cons
- Only 8 CPU threads; heavy multi‑thread workloads can hit a ceiling
- Max 16 GB unified memory; not user‑upgradeable
- No eGPU support and limited PCIe expansion
- Rosetta 2 translation layer for some x86 apps; not all software is native
- Newer M2/M3 chips and modern x86 CPUs offer more cores, higher clocks, and better GPU performance
Pros
- Very high performance per watt for CPU and GPU.
- Up to 64GB unified memory with 400GB/s bandwidth enables large projects.
- Hardware-accelerated ProRes encode/decode speeds video workflows.
- Thunderbolt 4 provides flexible external connectivity and displays.
- 16-core Neural Engine for on-device ML inference.
- 48MB system-level cache reduces effective memory latency.
Cons
- Memory is not upgradable after purchase.
- No user-accessible PCIe slots for internal expansion cards.
- Gaming library and optimizations lag behind Windows/x86 systems.
- macOS ecosystem limits some virtualization and workstation use cases compared to Linux/Windows.
Competitors & Alternatives
Apple M1
- Intel Core i7-1165G7Rival
Thin‑and‑Light Laptop
- AMD Ryzen 7 5800URival
Thin‑and‑Light Laptop
- Intel Core i5-1135G7Rival
Thin‑and‑Light Laptop
- AMD Ryzen 5 4600HRival
Performance Laptop
- Intel Core i7-11800HRival
High‑Performance Laptop
- Alt
Same platform with ~18% faster CPU, 35% faster GPU, and support for up to 24 GB unified memory.
Compare head-to-head - Alt
More CPU/GPU cores and higher memory bandwidth for heavier creative workloads.
Compare head-to-head - AMD Ryzen 7 6800UAlt
Modern x86 laptop CPU with higher multi‑thread performance and DDR5 memory.
- Intel Core i7-1360PAlt
Higher core count and better sustained multi‑thread performance in thin laptops.
- Alt
Newer architecture with better GPU and CPU performance per watt and improved media engines.
Compare head-to-head
Apple M1 Max
- AMD Ryzen 9 5900HXRival
High-performance Laptop
- Compare head-to-headIntel Core i9-11980HKRival
High-performance Laptop
- NVIDIA RTX 3080 LaptopRival
Discrete GPU
- Compare head-to-headApple M2 MaxRival
Pro SoC
- Compare head-to-headApple M1 UltraRival
Workstation SoC
- Alt
Lower-cost option when peak GPU memory and bandwidth requirements are modest.
Compare head-to-head - AMD Ryzen 9 7945HX3D + RTX 4090 LaptopAlt
Better for Windows-centric gaming and CUDA workflows.
- Intel Core i9-14900HX + RTX 4090 LaptopAlt
High multi-thread performance and top-tier gaming GPU for Windows.
- Alt
Latest generation with architectural improvements if available.
Compare head-to-head
Our Verdict on Each
A landmark chip that delivered class‑leading efficiency and single‑thread speed for thin laptops, still very capable for most users but increasingly outdated compared to M2/M3 and modern x86 rivals in multi‑thread and GPU workloads.
Best for: Used or refurbished M1 MacBook Air / Mac mini for general use, study, or light creative work at a low price
Read the full reviewM1 Max delivers exceptional performance per watt and massive memory bandwidth for a mobile-class SoC, making it an excellent choice for pro creators on the go, though it is not user-upgradeable and lacks discrete GPU flexibility.
Best for: Pro creators who need high single-thread performance, strong GPU acceleration, and large unified memory in a portable MacBook Pro or compact Mac Studio.
Read the full reviewFrequently Asked Questions
Which is faster for gaming, Apple M1 or Apple M1 Max?
For gaming, the Apple M1 leads with a gaming performance score of 72/100 among Apple M1 and Apple M1 Max.
Which has more cores?
The Apple M1 Max has the most cores. Core counts: Apple M1 (8 cores), Apple M1 Max (10 cores).
Which is faster in multi-core benchmarks?
The Apple M1 posts the highest multi-core benchmark score. Multi-core results: Apple M1 (7,404). Benchmark figures are approximate and workload-dependent.