MLX Local Inference Benchmarks: Qwen3.6 Family 8-bit vs 4-bit Performance

Raw results and methodology for an 8-axis benchmark of four MLX checkpoints on a 128 GB M5 Max. The dataset provides everything needed to verify or dispute the reported performance numbers for the Qwen3.6 model family. It was created by studioburnside and last updated on July 14, 2026.

Use Cases

• Compare inference speed and memory usage between 8-bit and 4-bit quantized models based on the benchmark results.
• Evaluate model performance across different task categories like coding, reasoning, and vision based on the described 8-axis scorecard.
• Reproduce or validate local inference benchmarks for the MLX framework using the provided raw results and harnesses.
• Assess the performance of specific model checkpoints (Tess-4-27B-MLX-Q8, Tess-4-27B-MLX-Q4) on a defined hardware setup.

Strengths

• Includes raw results and methodology for an 8-axis benchmark, enabling independent verification.
• Benchmarks were run on a specific, high-memory hardware configuration: a 128 GB M5 Max.
• Companion model repositories are provided for the tested checkpoints, linking data to assets.
• Explicitly compares performance of 8-bit and 4-bit quantization for the Qwen3.6 model family.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The description references a full scorecard on an external page, requiring a click-through for complete details.

Provenance

Source

huggingface user studioburnside

Collection Method

Benchmark results generated from local inference tests.

Freshness

Last updated 2026-07-14 05:37:34; freshness should be verified.