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Apple M2 (GPU, 10 cores) vs Apple M2 Pro (GPU, 16 cores): specs and benchmark comparison

AApple · Apple Silicon

Apple M2 (GPU, 10 cores)

  • 10 GPU cores

2022

BApple · Apple Silicon

Apple M2 Pro (GPU, 16 cores)

  • 16 GPU cores

2023

Short verdict

Apple M2 Pro (GPU, 16 cores) leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← Apple M2 (GPU, 10 cores)Apple M2 Pro (GPU, 16 cores) →

  • Rendering and compute

    B +121%

    Apple M2 Pro (GPU, 16 cores) leads in this scenario (up to 121% in comparable benchmarks).

No comparable benchmarks yet: gaming: rasterization, gaming: ray tracing, power efficiency.

Advantages

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

Where Apple M2 (GPU, 10 cores) is better0

No advantages found in our data.

Where Apple M2 Pro (GPU, 16 cores) is better2

  • Blender Benchmark 4.0.0 121% faster770 samples/min vs 349 samples/min

  • Compute units 6 more16 GPU cores vs 10 GPU cores

Benchmarks

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

  • Blender Benchmark 4.0.0

    GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better

    B ahead by 121%

    Position among tested models (15, Metal)

    A · 349B · 770
    01,0002,0003,0004,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    Apple M2 Pro (GPU, 16 cores) is ahead by 121% in this benchmark.

    About the measurement and source
    A · Apple M2 (GPU, 10 cores)

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

    Blender Open Data (Blender Foundation)

    Median of 28 submissions (3 outliers excluded), interquartile range 346.31–353.74; submissions 2023-11-17 to 2024-06-30; METAL backend. Snapshot 2026-11-14.

    B · Apple M2 Pro (GPU, 16 cores)

    770.1 samples/min · community measurement, sample 38 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (0 outliers excluded), interquartile range 760.53–776.73; submissions 2023-11-14 to 2024-05-28; METAL 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.

Other comparable benchmarks (1)
BenchmarkABDifference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)379.2824.3B +117.4%

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

Reference results (12)
BenchmarkABDifference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)352.3738.4reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)354.1782.6reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)399711.1reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)366.8767.8reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)335.7—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)333.8655.2reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)391.6839.1reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)358.9769.7reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)354.1779.8reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)353.6777reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)341.9717reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)402.4768.8reference

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

Specifications

Chip

  • GPU chip

    AApple M2

    BApple M2 Pro

    differs

  • Architecture

    AApple Silicon

    BApple Silicon

    equal

  • Compute units

    A10 GPU cores

    B16 GPU cores

    B: 6 more

    SM (NVIDIA), CU (AMD) and Xe-core (Intel) are different units and are not compared numerically across vendors.

Memory

  • Memory type

    AUnified memory

    BUnified memory

    equal

“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

Which is faster: Apple M2 (GPU, 10 cores) or Apple M2 Pro (GPU, 16 cores)?

Apple M2 Pro (GPU, 16 cores) leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (2)
  • Apple — specifications of Apple M2 (GPU, 10 cores), specifications of Apple M2 Pro (GPU, 16 cores)checked 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 3.3.0, 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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