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Apple M1 Pro (10-core CPU) vs Apple M6: specs and benchmark comparison

AApple · ARM64

Apple M1 Pro (10-core CPU)

  • 10 cores

2021

BApple · ARM64

Apple M6

  • 12 cores

2026

Short verdict

Apple M6 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 Pro (10-core CPU)Apple M6 →
  • Multi-thread performance

    B +70%

    Apple M6 leads in this scenario (up to 70% 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 Pro (10-core CPU) is better0

No advantages found in our data.

Where Apple M6 is better2

  • Blender Benchmark 5.2.0 70% faster331 samples/min vs 195 samples/min

  • Cores 2 more12 (6P + 6E) vs 10 (8P + 2E)

Benchmarks

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

  • Blender Benchmark 5.2.0

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

    B ahead by 70%

    Position among tested models (49)

    A · 195B · 331
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    Apple M6 is ahead by 70% in this benchmark.

    About the measurement and source
    A · Apple M1 Pro (10-core CPU)

    195 samples/min · community measurement, sample 21 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 21 submissions (0 outliers excluded), interquartile range 188.07–201.45; submissions 2026-08-01 to 2026-11-05; CPU backend. Snapshot 2026-11-14.

    B · Apple M6

    331.3 samples/min · community measurement, sample 26 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 26 submissions (1 outliers excluded), interquartile range 324.24–336.45; submissions 2026-09-22 to 2026-11-09; 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 (19)
BenchmarkABDifference
Blender Benchmark 4.2.0CPU, sum of scenes monster + junkshop + classroom195.6321reference
Blender Benchmark 4.5.0CPU, sum of scenes monster + junkshop + classroom210.5352.9reference
Blender Benchmark 5.1.1CPU, sum of scenes monster + junkshop + classroom201.4—no pair
Blender Benchmark 3.0.1CPU, sum of scenes monster + junkshop + classroom200.2—no pair
Blender Benchmark 3.1.0CPU, sum of scenes monster + junkshop + classroom188.8—no pair
Blender Benchmark 3.1.2CPU, sum of scenes monster + junkshop + classroom180.9—no pair
Blender Benchmark 3.2.0CPU, sum of scenes monster + junkshop + classroom196.1—no pair
Blender Benchmark 3.2.1CPU, sum of scenes monster + junkshop + classroom194.5—no pair
Blender Benchmark 3.3.0CPU, sum of scenes monster + junkshop + classroom215—no pair
Blender Benchmark 3.4.0CPU, sum of scenes monster + junkshop + classroom203—no pair
Blender Benchmark 3.5.0CPU, sum of scenes monster + junkshop + classroom203.9—no pair
Blender Benchmark 3.6.0CPU, sum of scenes monster + junkshop + classroom203.6—no pair
Blender Benchmark 4.0.0CPU, sum of scenes monster + junkshop + classroom208.3—no pair
Blender Benchmark 4.1.0CPU, sum of scenes monster + junkshop + classroom197.2—no pair
Blender Benchmark 4.3.0CPU, sum of scenes monster + junkshop + classroom196.1327.1reference
Blender Benchmark 4.4.0CPU, sum of scenes monster + junkshop + classroom195.5—no pair
Blender Benchmark 5.0.0CPU, sum of scenes monster + junkshop + classroom200.7—no pair
Blender Benchmark 5.1.0CPU, sum of scenes monster + junkshop + classroom202.7—no pair
Blender Benchmark 5.3.0CPU, sum of scenes monster + junkshop + classroom158.3338.4reference

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

Specifications

Cores and clocks

  • Cores

    A10 (8P + 2E)

    B12 (6P + 6E)

    B: 2 more

    Cores of different types may differ in performance.

Platform

  • Process node

    A5 nm

    B2 nm

    differs

Memory and interfaces

  • Memory type

    AUnified memory

    BUnified memory

    equal
  • Max memory capacity

    Ano data

    B32 GB

    no data for A
  • Integrated graphics

    AApple M1 Pro (14 / 16-core GPU)

    BApple M6 (12-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 Pro (10-core CPU): Apple M1 Pro (14 / 16-core GPU). Apple M6: Apple M6 (12-core GPU).

Which is faster: Apple M1 Pro (10-core CPU) or Apple M6?

Apple M6 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 Pro (10-core CPU), specifications of Apple M6checked 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 5.1.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026

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

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