Apple M3 Pro (GPU, 18 cores) vs Apple M5 (GPU, 10 cores): specs and benchmark comparison
Short verdict
In the available comparable benchmarks the difference is below the noticeable threshold, so no significant advantage was found.
Compare with AIRendering and compute
≈ parityThe difference in available benchmarks is below the noticeable threshold, so there is no significant advantage.
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 Pro (GPU, 18 cores) is better1
Compute units 8 more18 GPU cores vs 10 GPU cores
Where Apple M5 (GPU, 10 cores) is better0
No advantages found in our data.
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- 1.3% difference, within the threshold
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
Apple M3 Pro (GPU, 18 cores)1,758.3 samples/minApple M5 (GPU, 10 cores)1,736 samples/minPosition among tested models (18, Metal)
B · 1,736A · 1,75802,0004,0006,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. The 1.3% difference is below the noticeable threshold (5%).
About the measurement and source
- A · Apple M3 Pro (GPU, 18 cores)
1,758.3 samples/min · community measurement, sample 28 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 28 submissions (2 outliers excluded), interquartile range 1741.72–1771; submissions 2025-07-17 to 2026-03-02; METAL backend. Snapshot 2026-11-14.
- B · Apple M5 (GPU, 10 cores)
1,736 samples/min · community measurement, sample 31 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 31 submissions (2 outliers excluded), interquartile range 1703–1747.37; submissions 2025-10-17 to 2026-08-11; 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.
Reference results (13)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,770.5 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,955.8 | 2,096.4 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,846.2 | 1,991.5 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,127.2 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,324.4 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,315 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,499.6 | — | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,510.1 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,712.5 | 1,647.5 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,756.8 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,960 | 2,084.7 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,743.2 | no pair |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,897.9 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · Apple M3 Pro (GPU, 18 cores) | B · Apple M5 (GPU, 10 cores) | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | Apple M3 Pro | Apple M5 | 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. | 18 GPU cores | 10 GPU cores | A: 8 more |
| Memory | |||
| Memory type | Unified memory | Unified memory | equal |
Chip
GPU chip
AApple M3 Pro
BApple M5
differsArchitecture
AApple Silicon
BApple Silicon
equalCompute units
A18 GPU cores
B10 GPU cores
A: 8 moreSM (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 Pro (GPU, 18 cores) or Apple M5 (GPU, 10 cores)?
In the available comparable benchmarks the difference is below the noticeable threshold, so no significant advantage was found.
See also
Data sources (2)
- Apple — specifications of Apple M3 Pro (GPU, 18 cores), specifications of Apple M5 (GPU, 10 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 3.5.0, 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 5.1.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.