Apple M3 Max (GPU, 40 cores) vs Apple M4 Max (GPU, 40 cores): specs and benchmark comparison
Short verdict
Apple M4 Max (GPU, 40 cores) leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
Compare with AIRendering and compute
B +23.5%Apple M4 Max (GPU, 40 cores) leads in this scenario (up to 23.5% 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 M3 Max (GPU, 40 cores) is better0
No advantages found in our data.
Where Apple M4 Max (GPU, 40 cores) is better1
Blender Benchmark 4.5.0 23.5% faster5,276 samples/min vs 4,272 samples/min
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 23.5%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
Apple M3 Max (GPU, 40 cores)4,271.9 samples/minApple M4 Max (GPU, 40 cores)5,275.7 samples/minPosition among tested models (18, Metal)
A · 4,272B · 5,27602,0004,0006,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. Apple M4 Max (GPU, 40 cores) is ahead by 23.5% in this benchmark.
About the measurement and source
- A · Apple M3 Max (GPU, 40 cores)
4,271.9 samples/min · community measurement, sample 35 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 35 submissions (6 outliers excluded), interquartile range 4233.12–4287.26; submissions 2025-07-17 to 2026-06-07; METAL backend. Snapshot 2026-11-14.
- B · Apple M4 Max (GPU, 40 cores)
5,275.7 samples/min · community measurement, sample 108 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 108 submissions (16 outliers excluded), interquartile range 5234.15–5298.06; submissions 2025-07-17 to 2026-03-09; 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 (3)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 4,259.5 | 5,222.2 | B +22.6% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 4,153.1 | 5,106.1 | B +22.9% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 4,221.9 | 5,214.4 | B +23.5% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (8)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 4,698.9 | 5,941.7 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 4,665.7 | 5,874.1 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,095.7 | 3,740.3 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,557.1 | 3,480.5 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,745.3 | — | no pair |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 4,242.8 | 5,295.9 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 4,315.6 | 5,830.6 | reference |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 4,754.7 | 5,685.6 | reference |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · Apple M3 Max (GPU, 40 cores) | B · Apple M4 Max (GPU, 40 cores) | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | Apple M3 Max | Apple M4 Max | differs |
| Architecture | Apple Silicon | Apple Silicon | equal |
| Compute unitsSM (NVIDIA), CU (AMD) and Xe-core (Intel) are different units and are not compared numerically across vendors. | 40 GPU cores | 40 GPU cores | equal |
| Memory | |||
| Memory type | Unified memory | Unified memory | equal |
Chip
GPU chip
AApple M3 Max
BApple M4 Max
differsArchitecture
AApple Silicon
BApple Silicon
equalCompute units
A40 GPU cores
B40 GPU cores
equalSM (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.
Questions and answers
Which is faster: Apple M3 Max (GPU, 40 cores) or Apple M4 Max (GPU, 40 cores)?
Apple M4 Max (GPU, 40 cores) leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
See also
Data sources (2)
- Apple — specifications of Apple M3 Max (GPU, 40 cores), specifications of Apple M4 Max (GPU, 40 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 3.6.0, 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.