First Geekbench 7 benchmarks for Apple's M6 Mac mini show significant performance gains, with a 12-core chip running at 4.78GHz delivering 24% single-core and 48% multi-core improvements over the M4 model. The M6 achieves scores of 4,071 single-core and 22,783 multi-core, representing substantial jumps from earlier generations like the M1 and M2.
Gravity Linux is a project using clean-room reverse engineering to bring Linux support to Apple Silicon M4 Macs, with the goal of upstreaming this support into the mainline Linux kernel and other distributions. The team plans to release their first version soon.
Cody Ho and Niklas built a fully OpenGL ES 3.0 compliant GPU driver for Apple's M4 Mac Mini and MacBook Neo in about one month by reverse engineering the AGX firmware ABI and user-space components using a hypervisor. The driver achieves high performance, running Minecraft at 200fps and supporting WebGL in browsers, and involved clean-room development techniques without accessing Apple binaries.
A technical guide for running Gemma 4 26B on a Mac Mini M4 by raising the Metal GPU memory limit from the macOS default to enable full GPU utilization. The article explains why the model defaults to 66% CPU usage due to unified memory constraints and provides commands and configuration to achieve 100% GPU processing.
A researcher built a 5-layer language model optimized for ARM M4 CPUs using native instructions like XOR, popcount, and SDOT instead of traditional neural network operations. The hybrid model achieves 20,882 tokens/second and 0.8786 bits per byte while fitting in 3.36 MB of L2 cache, demonstrating that CPU instruction sets can be repurposed as trainable neural components.