llamaperf

Local model performance on your hardware

Find which open-weight LLMs fit in your GPU or Mac and compare the speeds people report on setups like yours.

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Pick your GPU or Mac, then read the speeds people reported on it, or estimate which models fit and how fast they run.

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Local model performance reports from the community

These are individual setups, not a controlled benchmark. Compare GPU count, quantization, context and offloading before comparing speeds. How to read a report →

Model: Nemotron 3.5
Compare setup details

Exact recorded values. Context may be a configured limit; matching filters does not establish identical prompts, offloading or concurrency.

AMD hardware
generation:
66.8 tokens/s
prompt processing (prefill):
1450.3 tokens/s
quant:
Q4_0 (GGUF)
kv:
F16
flash attention:
on
mtp (multi-token prediction):
off

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

Source: https://github.com/hogeheer499-commits/strix-halo-guide/blob/f5d9e6dac1ec9aeeeeb1165ae85d305b33cee234/data/raw/2026-09-26/64gb-tier-30b-candidates-b11146/README.md Author: hogeheer499-commits. Historical measurement 2026-09-26, recovered 2026-10-13; source snapshot f5d9e6dac1ec9aeeeeb1165ae85d305b33cee234. Raw CSV and JSON, per-run commands and stderr retained. This is routine-load first-party benchmark evidence, not independent reproduction. Hardware: Beelink GTR9 Pro, AMD Ryzen AI Max+ 395 / Radeon 8060S, nominal 128GB unified RAM. Each of the four measured processes explicitly enumerates exactly one Vulkan device, Radeon 8060S; native rows say Vulkan. RPC library being loaded is not RPC participation. Native CPU threads16. Separate May1 hardware audit says16 physical cores/32 threads; these are historical same-host topology, not an active-core measurement in September. GPU CU count unknown. No dedicated VRAM or resident/peak model memory measurement. Runtime: official Ubuntu x64 Vulkan llama.cpp v0.5.0 release asset, executable reports0.5.0-dev build11146 commit7fe450e19, GNU11.4.0. Kernel7.0.0-31, Mesa/RADV26.2.3, AMD_VULKAN_ICD=RADV. All rows use ngl999, FA1, batch2048, ubatch512, F16 K/V, load/lazy auto, devices:auto, main_gpu0, layer split, no CPU MoE override. Host: balanced power, DPMauto, VM/desktop/browser/video-call/remote-access processes active; Ollama empty; preexisting swap nearly full. No strict-clean or causal cross-campaign comparison. Model: NVIDIA Nemotron 3.5 Lightning 30B-A3B, Q4_0; publisher ggml-org; NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q4_0.gguf. GGUF native type is nemotron_h_moe 31B.A3.5B Q4_0; metadata parameter count 31.577940288B differs from the rounded marketed 30B-A3B name. No MTP sidecar or speculative decoding. Artifact: pinned HF 8a08a1c81dadcc75d35dbb96016cfd344b632e67; 18898091584 disk bytes; SHA256 61f87e75974e4b535dcdf9aad056541a9514f1dfa4538b463b081d19b7a00e3c. Source's local hash and byte count match independently retrieved pinned HF metadata. Actual tested bytes remain author-attested; no weight download or independent rehash. Native model_size=18890195712 is tensor storage, not disk file size or residency. HF: https://huggingface.co/ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF/blob/8a08a1c81dadcc75d35dbb96016cfd344b632e67/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q4_0.gguf Native rows (mean +/- sample SD; pass2 is a distinct repeated control, not pooled or best-of): - Pass 1 pp512, prepared depth 0, r10: 1450.331991 +/- 3.306742 t/s; mean native duration 353024272 ns. - Pass 1 tg128, prepared depth 0, r10: 66.801892 +/- 0.140252 t/s; mean native duration 1916120989 ns. - Pass 2 pp512, prepared depth 0, r10: 1446.360644 +/- 6.329379 t/s; mean native duration 353998024 ns. - Pass 2 tg128, prepared depth 0, r10: 67.147905 +/- 0.082188 t/s; mean native duration 1906242227 ns. - Pass 1 pp8192, prepared depth 0, r3: 1409.099000 +/- 2.766984 t/s; mean native duration 5813658993 ns. - Pass 1 tg128, prepared depth 8192, r3: 65.987632 +/- 0.078190 t/s; mean native duration 1939759257 ns. The headline pair is pass1 PP512/TG128. Separate synthetic tests, not a512-input/128-output chat request. Exact commit's llama-bench timer inspected: load, context creation, warmup and depth preparation precede timing; PP processes random token batches and synchronizes; TG does128 single-token decode calls with synchronization. Numerator is n_prompt+n_gen, not useful natural-language output. The depth8192 TG test preloads/restores8192 tokens outside timing, then measures128 new decode steps. PP8192 starts at depth0. Requested n_ctx is512/128/8192/8320 per corresponding shape; effective allocated capacity is not logged and stays unknown. Native durations are not TTFT. Measured TTFT unknown; no reciprocal-rate or prompt/time proxy supplied. No server/client rate, concurrency, speculation or quality inference imported. Timer: https://github.com/ggml-org/llama.cpp/blob/7fe450e19/tools/llama-bench/llama-bench.cpp LlamaPerf numeric fields are rounded to the supported 0.1 tok/s step; exact source means and standard deviations are retained above.

Oct 13, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB294NVIDIA RTX 3090190NVIDIA RTX 5090134NVIDIA DGX Spark77M5 Max 48GB65NVIDIA RTX Pro 6000 Blackwell62NVIDIA RTX 5060 Ti 16GB58NVIDIA RTX 3060 12GB54AMD Radeon AI PRO R9700 32GB50M4 Max 128GB49

Records by model

2211 total
Qwen3.81021
Qwen3.6238
DeepSeek V4 Flash147
Gemma 4144
Qwen3.597
Qwen353
other511

Records by engine

1645 total
llama.cpp875
vLLM189
MLX100
Strata70
Ollama62
other349

Use cases

coding 556agentic 357long-context 272tool-use 153vision 109summarization 53math 43creative-writing 37multilingual 23text-generation 9rp 8reasoning 3
coding556agentic357long-context272tool-use153vision109summarization53math43creative-writing37

Median generation t/s by GPU

On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking

RTX 509082RTX Pro 600067M5 Ultra 256GB50RX 7900 XTX48RTX 309036RTX 5090 Laptop 24GB34RTX 409032V100 32GB31Radeon AI PRO R9700 32GB30RX 7800 XT 16GB30

Prompt processing, same model

M5 Ultra 256GB1800RX 7900 XTX530RTX 3090561RTX 40901949V100 32GB941RTX 3080 20GB997Arc Pro B70512M1 Ultra 128GB153Arc Pro B60 24GB380M1 Max 32GB82

Reports by model size

Qwen3.8 27B566Qwen3.8 125B · 6B active371DeepSeek V4 Flash 284B · 13B active130Qwen3.6 35B · 3B active129Qwen3.6 27B72Gemma 4 26B · 4B active36GLM-5.3 320B · 18B active33DeepSeek V4.1 Flash 552B · 16B active28

Quants

Q4_K_M290UD-Q4_K_XL140NVFP4120Q8_0984-bit79Q4_K_XL71IQ4_XS70MXFP458IQ3_XXS52Q450