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Put two chips, runtimes, or runtime versions side by side. Everything else is held fixed or called out, so a ratio is worth exactly what the matched runs say.

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Runs compared: 11
Like-for-like pair: 1
Chips available: 9

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Side A

Side B

Model

Runtime

Runtime version

Quantisation

Backend

Prefill size

Decode size

Cooldown

6 runs vs 5 runs · 1 like-for-like pair

Held fixedModel: Qwen3.6 27BPrefill: PP512Decode: TG128

A side mixes quantisations. Pick a quantisation to compare the same weights.
The sides differ in conditioning, decode workload, harness schema. Ratios may reflect benchmark protocol rather than the chip.

Chip comparison

Apple M5 Pro vs NVIDIA GB10

Ratios read side A relative to side B. Geometric mean over 1 like-for-like pair.

Decode: 1.31×+30.9%
Prefill: 0.32×-68.0%

Side A

Apple M5 Pro

6 runs

1 contributor

Latest 11 Sep 2026

Decode · TG128: 14.9tok/s median
best 16.7 · worst 10.6
Prefill · PP512: 374tok/s median
best 377 · worst 355

Models: Qwen3.6-27B
Runtimes: BaseRTllama.cpp
Versions: BaseRT 0.2.4, llama.cpp b10809 (5266f24da)
Quantisations: Q3_K_M, Q4, Q4_K_M, Q6_K, Q8
Backends: BLAS + Metal, Metal
Cooldown: off
Conditioning: runtime_native_warmup, warmup_only
Decode workload: TG128
Harness schema: basert-benchmark-harness/1, computearena-measurements/1

Side B

NVIDIA GB10

5 runs

1 contributor

Latest 19 Sep 2026

Decode · TG128: 12.3tok/s median
best 13.0 · worst 7.5
Prefill · PP512: 1,140tok/s median
best 1,146 · worst 344

Models: Qwen3.6-27B, Qwen3.6-27B-cuda-q4mix, Qwen3.6-27B-cuda-q8, Qwen3.6-27B-Q4
Runtimes: BaseRT
Versions: BaseRT 0.2.4, BaseRT 0.2.6
Quantisations: Q4
Backends: CUDA
Cooldown: off
Conditioning: warmup_only
Decode workload: TG128, TG128 @ 1 ctx
Harness schema: basert-benchmark-harness/1

What differs besides the chip

Facet	Apple M5 Pro	NVIDIA GB10
Model	Qwen3.6-27B	Qwen3.6-27B, Qwen3.6-27B-cuda-q4mix, Qwen3.6-27B-cuda-q8, Qwen3.6-27B-Q4
Runtime	BaseRT, llama.cpp	BaseRT
Runtime version	BaseRT 0.2.4, llama.cpp b10809 (5266f24da)	BaseRT 0.2.4, BaseRT 0.2.6
Quantisation	Q3_K_M, Q4, Q4_K_M, Q6_K, Q8	Q4
Backend	BLAS + Metal, Metal	CUDA
Conditioning	runtime_native_warmup, warmup_only	warmup_only
Decode workload	TG128	TG128, TG128 @ 1 ctx
Harness schema	basert-benchmark-harness/1, computearena-measurements/1	basert-benchmark-harness/1

Like-for-like pairs

Each row is a configuration present on both sides. Values are per-cell medians; ratios read Apple M5 Pro relative to NVIDIA GB10.

Configuration	Decode A	Decode B	Ratio	Prefill A	Prefill B	Ratio	Runs A / B
Qwen3.6-27B-cuda-q8 BaseRTQ4	16.1	12.3	1.31×	364	1,140	0.32×	1 / 5

Side A · Apple M5 Pro

Top 6 of 6 runs by decode throughput.

Model / format	Chip / backend	Decode	Prefill	Contributor	Date	Report
Qwen3.6-27B llama.cpp b10809 (5266f24da)Q3_K_M	Apple M5 Pro BLAS + Metal	16.7 TG128	373 PP512	arki05	11 Sep 2026	View Benchmark
basecompute/Qwen3.6-27B BaseRT 0.2.4Q4	Apple M5 Pro Metal	16.1 TG128	364 PP512	arki05	11 Sep 2026	View Benchmark
Qwen3.6-27B llama.cpp b10809 (5266f24da)Q4_K_M	Apple M5 Pro BLAS + Metal	15.2 TG128	376 PP512	arki05	11 Sep 2026	View Benchmark
Qwen3.6-27B llama.cpp b10809 (5266f24da)Q4_K_M	Apple M5 Pro BLAS + Metal	14.5 TG128	374 PP512	arki05	11 Sep 2026	View Benchmark
Qwen3.6-27B llama.cpp b10809 (5266f24da)Q6_K	Apple M5 Pro BLAS + Metal	11.9 TG128	377 PP512	arki05	11 Sep 2026	View Benchmark
basecompute/Qwen3.6-27B BaseRT 0.2.4Q8	Apple M5 Pro Metal	10.6 TG128	355 PP512	arki05	11 Sep 2026	View Benchmark

Side B · NVIDIA GB10

Top 5 of 5 runs by decode throughput.

Model / format	Chip / backend	Decode	Prefill	Contributor	Date	Report
Qwen3.6-27B-Q4 BaseRT 0.2.6Q4	NVIDIA GB10 CUDA	13.0 TG128 @ 1 ctx	344 PP512	basecompute	19 Sep 2026	View Benchmark
Qwen/Qwen3.6-27B BaseRT 0.2.4Q4	NVIDIA GB10 CUDA	12.4 TG128	1,140 PP512	basecompute	11 Sep 2026	View Benchmark
Qwen3.6-27B-cuda-q4mix BaseRT 0.2.6Q4	NVIDIA GB10 CUDA	12.3 TG128 @ 1 ctx	1,127 PP512	basecompute	19 Sep 2026	View Benchmark
Qwen3.6-27B-cuda-q8 BaseRT 0.2.6Q4	NVIDIA GB10 CUDA	8.4 TG128 @ 1 ctx	1,146 PP512	basecompute	19 Sep 2026	View Benchmark
Qwen3.6-27B-cuda-q8 BaseRT 0.2.6Q4	NVIDIA GB10 CUDA	7.5 TG128 @ 1 ctx	1,141 PP512	basecompute	19 Sep 2026	View Benchmark