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Apple M1 Max vs Apple M2 Ultra: specs and benchmark comparison

AApple · ARM64

Apple M1 Max

  • 10 cores

2021

BApple · ARM64

Apple M2 Ultra

  • 24 cores

2023

Short verdict

Apple M2 Ultra leads in every scenario with comparable benchmarks: multi-thread performance. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← Apple M1 MaxApple M2 Ultra →
  • Multi-thread performance

    B +139.6%

    Apple M2 Ultra leads in this scenario (up to 139.6% in comparable benchmarks).

No comparable benchmarks yet: single-thread performance, gaming (cpu-bound scenarios), power efficiency.

Advantages

Only measured and rated values: a noticeable benchmark gap and specs where more is better.

Where Apple M1 Max is better0

No advantages found in our data.

Where Apple M2 Ultra is better3

  • Blender Benchmark 3.6.0 139.6% faster502 samples/min vs 210 samples/min

  • Cores 14 more24 (16P + 8E) vs 10 (8P + 2E)

  • Max memory capacity 128 GB more192 GB vs 64 GB

Benchmarks

Results are compared within one benchmark, one version and the same conditions.

  • Blender Benchmark 3.6.0

    CPU, sum of scenes monster + junkshop + classroom · samples/min, higher is better

    B ahead by 139.6%

    Position among tested models (52)

    A · 210B · 502
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    Apple M2 Ultra is ahead by 139.6% in this benchmark.

    About the measurement and source
    A · Apple M1 Max

    209.6 samples/min · community measurement, sample 73 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 73 submissions (9 outliers excluded), interquartile range 206.2–212.1; submissions 2023-06-30 to 2025-02-19; CPU backend. Snapshot 2026-11-14.

    B · Apple M2 Ultra

    502.3 samples/min · community measurement, sample 28 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 28 submissions (4 outliers excluded), interquartile range 498.04–504.31; submissions 2023-06-30 to 2023-11-16; CPU backend. Snapshot 2026-11-14.

    difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.

    Cycles render in Blender Benchmark. Median of the sum of samples per minute over three scenes after removing outliers.

Reference results (18)
BenchmarkABDifference
Blender Benchmark 4.2.0CPU, sum of scenes monster + junkshop + classroom204496reference
Blender Benchmark 4.5.0CPU, sum of scenes monster + junkshop + classroom210.6526reference
Blender Benchmark 5.1.1CPU, sum of scenes monster + junkshop + classroom206.9509.8reference
Blender Benchmark 5.2.0CPU, sum of scenes monster + junkshop + classroom203.1501.2reference
Blender Benchmark 3.0.1CPU, sum of scenes monster + junkshop + classroom201.1—no pair
Blender Benchmark 3.1.0CPU, sum of scenes monster + junkshop + classroom191.7—no pair
Blender Benchmark 3.1.2CPU, sum of scenes monster + junkshop + classroom189.8—no pair
Blender Benchmark 3.2.0CPU, sum of scenes monster + junkshop + classroom198.3—no pair
Blender Benchmark 3.2.1CPU, sum of scenes monster + junkshop + classroom198—no pair
Blender Benchmark 3.3.0CPU, sum of scenes monster + junkshop + classroom217.5—no pair
Blender Benchmark 3.4.0CPU, sum of scenes monster + junkshop + classroom206506.1reference
Blender Benchmark 3.5.0CPU, sum of scenes monster + junkshop + classroom209.9493.5reference
Blender Benchmark 4.0.0CPU, sum of scenes monster + junkshop + classroom210.8507.7reference
Blender Benchmark 4.1.0CPU, sum of scenes monster + junkshop + classroom205.9510.1reference
Blender Benchmark 4.3.0CPU, sum of scenes monster + junkshop + classroom206.2507.4reference
Blender Benchmark 4.4.0CPU, sum of scenes monster + junkshop + classroom205.4508.6reference
Blender Benchmark 5.0.0CPU, sum of scenes monster + junkshop + classroom206—no pair
Blender Benchmark 5.1.0CPU, sum of scenes monster + junkshop + classroom206.7—no pair

Each benchmark version has its own scale: numbers are compared only within a row.

Specifications

Cores and clocks

  • Cores

    A10 (8P + 2E)

    B24 (16P + 8E)

    B: 14 more

    Cores of different types may differ in performance.

Platform

  • Process node

    A5 nm

    B5 nm

    equal

Memory and interfaces

  • Memory type

    AUnified memory

    BUnified memory

    equal
  • Max memory capacity

    A64 GB

    B192 GB

    B: 128 GB more
  • Integrated graphics

    AApple M1 Max (24 / 32-core GPU)

    BApple M2 Ultra (60 / 76-core GPU)

    differs

“More” does not always mean “better”: higher power draw or size is a system requirement, not an advantage (such bars are dimmed).

Compare with AI

An AI model reviews the specs and benchmarks of this pair and gives a plain-language verdict on who each model suits.

AI verdict

Questions and answers

Do these CPUs have integrated graphics?

Apple M1 Max: Apple M1 Max (24 / 32-core GPU). Apple M2 Ultra: Apple M2 Ultra (60 / 76-core GPU).

Which is faster: Apple M1 Max or Apple M2 Ultra?

Apple M2 Ultra leads in every scenario with comparable benchmarks: multi-thread performance. This does not imply an advantage in tasks without benchmarks.

Data sources (2)
  • Apple — specifications of Apple M1 Max, specifications of Apple M2 Ultrachecked November 14, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0checked November 14, 2026

How we compare: methodology. Where the data comes from: sources.

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