Mac mini with M4 Benchmarks and Use Cases
When Apple launched the M4 Mac mini in late 2024, it marked a significant redesign of the Mac mini. A new enclosure, a chip two generations ahead of the prior M2 model, and Pro-level performance at the base configuration and remains one of the best value machines in Apple's Mac lineup and a workhorse for hosted Mac infrastructure.
This post covers our review of the hardware design, benchmark methodology and results, and recommendations for M4 and M4 Pro chips in CI/CD and compute workloads.
M4 Hardware Design
As promised by Apple, the M4 mini is substantially smaller than the older mini body design, used from 2010 to 2022.
The M4 mini comes with plenty of high-bandwidth connectivity. M4 Pro models deliver 120Gb/s of bandwidth using Thunderbolt 5, while 10Gb Ethernet is available across the range (and standard on our Medium and larger models).
While both the M4 and M4 Pro machines share the same exterior design, they have a completely different motherboard layout, alongside other changes made across the chassis, such as a denser heatsink configuration. The M4 Pro models have a higher thermal design power (TDP) and run noticeably hotter when performing sustained high-performance tasks (though nothing like the Intel chips of old).
Core Configurations
Performance cores power sustained, high-performance tasks, such as CI/CD pipeline builds. Efficiency cores run background and lower-priority processes, allowing for improved power efficiency and better utilization of performance cores.
While both models share the same architecture within each core, M4 and M4 Pro are very different chips.
M4 Pro chips are designed for high performance workloads. They sacrifice 2 efficiency cores to make space for 4-6 additional performance cores. The 12-core M4 Pro doubles the number of performance cores over the base M4 chip, delivering significant improvements in performance.
Benchmarking Methodology
Similar to past benchmarks, we used a combination of Cinebench, Geekbench, and XcodeBenchmark to determine the performance of Mac hardware.
For this iteration of benchmark results, we used the following software versions across all of the tested hardware:
- macOS 15.1
- Xcode 16.1
- Cinebench 2024.1.0
- Geekbench 6.3
As with our previous benchmarking efforts, each benchmark was run 3 times, with 5 minutes of cool-down time between tests. The best result out of 3 used as the official score.
We chose the below four benchmarks for evaluation, as each covers a different compute style aligned with our typical use cases.
Cinebench 2024 focuses on raw CPU rendering performance and is a useful indicator of sustained compute throughput. It does not reflect general application performance.
Geekbench 6 Multi-core measures real-world CPU performance across common tasks in a reproducible, cross-platform manner. We find it correlates more closely to real-world outcomes than Cinebench for most of our customer use cases.
Geekbench 6 Compute measures GPU performance using Metal. This reflects capability for graphics processing, AI/ML tasks, and GPU-accelerated workloads.
XcodeBenchmark simulates the build of a complex iOS application with a large set of popular component libraries. This is our most direct signal of Xcode build performance, which is the primary workload for most of our CI/CD customers.
Benchmark Results
Note: Apple skipped the M3 generation for Mac mini, jumping directly from M2 to M4. All comparisons to previous Mac mini configurations in this post therefore reference M2-based models.
The base M4 is a solid step up from the M2 generation, delivering roughly 30-50% improvement in general compute on the older M2 base chip. It falls short of the top-end M2 chip in GPU performance and is slightly slower in Xcode builds, but for a base configuration machine, it cuts Xcode build times meaningfully compared to previous lower-end chips.
The M4 Pro (12-core) is a bigger story. It outperforms every previous Mac mini configuration and even most older Mac Studio models. For CPU-bound tasks, the lower-end 12-core M4 Pro is roughly equivalent to the M1 Ultra in some benchmarks and comes close to the M2 Ultra in optimized CPU benchmarks like Geekbench.
The M4 Pro (14-core) is the top configuration and the one that reshapes the competitive picture entirely. In Geekbench Multi-Core, it outperforms the 24-core M2 Ultra. In XcodeBenchmark, it beats the Mac Studio with M2 Ultra outright. For CPU-bound workloads, the 14-core M4 Pro is the fastest Apple desktop available, full stop. It delivers 49% better multi-core CPU performance than the base M4 and 10% more than the 12-core M4 Pro, making it the default recommendation for any team where build speed is the primary constraint.
See our complete Mac benchmark table in our technical documentation.
XcodeBenchmark Results
XcodeBenchmark results suggest Xcode’s compiler is well-optimized and takes advantage of architectural improvements generation over generation.
The standout result: the Mac mini with 14-core M4 Pro outperforms the Mac Studio with 24-core M2 Ultra. That makes the M4 Pro Mac mini the fastest Apple desktop for general CI/CD workflow execution, and the default recommendation for most MacStadium customers prioritizing faster build times.
One caveat worth flagging is that completion times have increased across the board with Xcode 16.x and macOS Sequoia. In the Xcode 15.x version of this test, the M2.M finished in 149.96 seconds, about 50 seconds faster than its Xcode 16.x result. Build machine requirements are trending up, and that pattern will likely continue with future Apple releases.
Cinebench Results
Cinebench is a "pure math" test. It measures raw CPU compute performance, unlike Geekbench's multi-core test, which simulates common tasks. That makes Cinebench less susceptible to architectural optimizations, giving a clearer picture of brute-force CPU power.
The results are notable. The 14-core M4 Pro lands within the margin of error of the M1 Ultra, a chip with 16 performance cores versus M4 Pro's 10. Without task-specific optimizations in play, that gap reflects real single-core gains. Similarly, the 10-core M4 base matches 93% of the 12-core M2Pro's performance with half the performance cores (4 vs. 8).
Geekbench 6.3 Multi-Core Results
Geekbench's CPU test is where M4's application-specific improvements really show up. In multi-core, the 14-core M4 Pro outperforms the 24-core M2 Ultra. That matters because Geekbench scores are the best predictor of real-world CI/CD performance. Many common macOS processes are optimized around these architectural improvements, so the gains go beyond raw compute.
The rest of the M4 line holds up well. The 12-core M4 Pro beats the M1 Ultra, and the 10-core M4 edges out the M2 Pro. M4 Pro is a particularly strong upgrade: the 12-core config offers a 37% improvement over the base M4, and the 14-core jumps to 49%.
Compared to the original M1, M4 and M4 Pro deliver anywhere from 72% to 257% better performance, depending on your configuration. Apple silicon set a new bar when it launched, and Apple has kept pushing it with each generation.
Geekbench 6.3 GPU Results
In Geekbench's GPU Compute test, Mac Studio still dominates. Even the lowest-end Studio (M1 Max) outperforms the fastest Mac mini (M4 XL). The biggest differentiator between Pro and Max/Ultra chips is GPU core count and memory bandwidth. Apple built the Studio line for content creators and GPU-heavy workloads, and the benchmark results back that up. If your workload involves AI/ML inference or automated game testing, Mac Studio is the right call.
That said, M4 and M4 Pro show solid generational gains against older Pro chips. The base M4 delivers 20% more GPU performance than the base M2, and the 14-core M4 Pro improves 31% over the 12-core M2 Pro.
For GPU-intensive workloads, Mac Studio remains the best option. The larger die size and higher GPU core counts of the Max and Ultra chips deliver substantially more headroom than any mini configuration can match. For CI/CD teams prioritizing CPU throughput at cost-effective scale, the M4 Pro mini is the stronger choice.
A Guide to our Standard Mac mini with M4 Models
For this generation of Mac mini, we wanted to offer a wide range of models, with clear distinctions between each machine. With more available configurations from Apple, we were able to provide more value with each model. From light workloads to maximum performance, there’s an M4 model for every project.
M4.S (M4 10 core, 16 GB RAM, 256 GB SSD)
M4.S is our small model and maps to Apple's base configuration. It's a good fit for light users running occasional builds or hosting lightweight services. The standard 16GB of RAM also makes it a solid option for enterprise remote desktop use, with enough processing power for everyday office computing.
M4.M (M4 10 core, 24 GB RAM, 512 GB SSD)
M4.M doubles the storage of M4.S and steps up to 24GB of RAM, making it a solid starter workstation for solo developers and small teams. It has enough RAM to run Xcode well and enough storage to manage build artifacts and multiple Simulator platform versions.
Note: M4 inventory has been extremely limited in 2026. M2.XL (M2 Pro 12 Core) is the current in-stock alternative for teams looking for this performance tier.
M4.L (M4 Pro 12 Core, 48 GB RAM, 1 TB SSD)
M4.L is a significant step up from M4.M in every category. With a 12-core M4 Pro, 48GB of RAM, and 1TB of storage, it handles build server workloads for larger projects comfortably. It's also our recommended configuration for Orka nodes, with enough storage for image caching and enough RAM to run two virtualized macOS instances with developer tools. (As a rule of thumb, 16GB is the new 8GB for Macs.)
M4.XL (M4 Pro 14 Core, 64 GB RAM, 2 TB SSD)
M4.XL with the 14-core M4 Pro is the highest-performance Mac mini configuration available. As our benchmarks show, it's functionally equivalent to M2 Ultra for Xcode builds and CI/CD workloads. It's a great choice for teams that need the fastest possible builds or are working on very large projects. With 64GB of RAM and 2TB of storage, it has enough headroom to avoid pipeline bottlenecks and plenty of space for Orka images and large build assets.
TL;DR
- M4.XL is now the fastest Mac desktop for general compute and CI/CD workloads
- Lower-end M4 configurations (M4.S & M4.M) roughly match previous M2 Pro performance, with the base M4 chip showing modest gains on optimized tasks. Older high-end chips still lead in raw compute, graphics, and Xcode builds.
- For GPU-intensive workloads, Mac Studio remains the better choice regardless of the generational gap.
- For everyone else, the M4 Mac mini is the clear path forward across both entry-level and high-end configurations.
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