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Benchmarks

Local LLM speed results across models, backends, hardware, and power profiles. Decode tok/s is the headline metric; latency, raw engine runs, and workload context stay visible in their own views.

1181 source rows116 matching source rowslatest run May 21, 2026schemas v1-v4source content/benchmarks/runs/
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One row per model, hardware, backend, quant, and normalized mode. Decode tok/s is shown as a range across workload shapes at the selected concurrency.

Showing top 29 of 29 grouped leaderboard rows from 116 matching source rows.

Notes:hardware comparablematched GPU comparisonstack comparablesimilar stackstack realisticreal workload rowlegacyolder harness350 W caprecorded power limitdrv 590driver branch
ModelQuantHardwareBackend / ModeDecode tok/sTTFTNotes
LFM2 1.2B
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline199.2-211.521ms
legacystack comparable
LFM2 8B-A1B
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline149.2-154.837ms
legacystack comparable
Gemma-4 E2B-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline85.7-89.4102ms
legacystack comparable
Qwen3.6 35B-A3B-MTP
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppMTP n=363.4-70.6192ms
legacystack comparablereasoning
Qwen3.6 35B-A3B-MTP
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppMTP n=260.8-70.0182ms
legacystack comparablereasoning
Gemma-3 4b-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline63.7-66.3212ms
legacystack comparable
Gemma-4 E4B-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline53.2-55.3258ms
legacystack comparable
Gemma-4 E4B-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline52.1-53.8273ms
legacystack comparable
Qwen3.6 35B-A3B-MTP
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline52.5-52.9164ms
legacystack comparablereasoning
Gemma-4 26B-A4B-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline47.2-52.0443ms
legacystack comparable
Qwen3.5 35B-A3B
4 workload shapes
Q4_K_XLStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline48.8-48.9414ms
legacystack comparablereasoning
Gemma-4 26B-A4B-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline45.1-47.7444ms
legacystack comparable
Qwen3.6 27B-MTP
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppMTP n=319.9-21.2430ms
legacystack comparablereasoning
Qwen3.6 27B-MTP
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppMTP n=218.8-20.0417ms
legacystack comparablereasoning
Qwen3.6 27B-MTP
4 workload shapes
Q8_0Strix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppMTP n=317.1-18.7497ms
legacystack comparablereasoning
Qwen3.6 27B-MTP
4 workload shapes
Q8_0Strix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppMTP n=215.4-16.1492ms
legacystack comparablereasoning
Qwen3.6 27B
4 workload shapes
Q3_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline14.3-14.4373ms
legacystack comparabledrv 7reasoning
Qwen3.6 27B-MTP
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline12.1-12.1387ms
legacystack comparablereasoning
Qwen3.6 27B
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline12.1-12.1393ms
legacystack comparabledrv 7reasoning
Qwen3.6 27B
4 workload shapes
Q4_K_XLStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline11.8-12.01.22s
legacystack comparablereasoning
Qwen3.5 27B
4 workload shapes
Q4_K_XLStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline12.0-12.01.08s
legacystack comparablereasoning
Qwen3.6 27B
4 workload shapes
Q4_K_XLStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline11.5-11.61.08s
legacystack comparablereasoning
Qwen3.6 27B
4 workload shapes
Q5_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline10.7-10.7399ms
legacystack comparabledrv 7reasoning
Gemma-4 E4B-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline10.1-10.62.68s
legacystack comparable
Gemma-4 31B-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline10.0-10.61.67s
legacystack comparable
Qwen3.6 27B
4 workload shapes
Q6_KStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline9.4-9.4437ms
legacystack comparabledrv 7reasoning
Gemma-4 26B-A4B-it
4 workload shapes
Q4_K_MStrix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline8.3-9.14.09s
legacystack comparable
Qwen3.6 27B-MTP
4 workload shapes
Q8_0Strix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline7.7-7.7445ms
legacystack comparablereasoning
Qwen3.6 27B
4 workload shapes
Q8_0Strix Halo · Radeon 8060S · 128 GiB unified (96 GiB VRAM)llama.cppbaseline7.7-7.7446ms
legacystack comparabledrv 7reasoning
Decode tok/s
Headline speed metric
TTFT / TPOT
Latency context
Raw vs workload
Separate comparison contracts
Notes badge key
hardware comparable

Use these rows for GPU-to-GPU comparisons when the model, quant, backend, driver family, power policy, and benchmark shape match closely.

stack comparable

Use these rows to compare a similar software stack. They are useful, but backend, server path, driver, cache, or power settings may still influence the number.

stack realistic

Treat these as real workload measurements, not pure hardware rankings. They include prompt mix, API/server overhead, cache behavior, and local software details.

legacyOlder workload harness row.
350 W capRecorded GPU power limit.
drv 590GPU driver branch.
reasoningReasoning-token model.
Metric guide
Decode tok/s - Generation rate. Raw rows come from the engine benchmark; API rows use token intervals when available.
TTFT - Time to first token. This includes prompt processing and server/API overhead.
TPOT / ITL - Time per output token after the first token. Lower is better.
Raw Engine - llama-bench style cases intended for hardware-normalized comparison across rigs.
Workload / API - Stack-realistic measurements that include backend, server, cache, driver, and prompt behavior.
Power badges - A cap badge shows the recorded power limit. The row metadata records the cap relative to the recorded max.