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NVIDIA RTX A4500 20GB
NVIDIA · GPU · Ampere Pro

NVIDIA RTX A4500 20GB — Benchmarks & Specs

20 GB VRAM200W TDP$1,700 MSRP2021

Short answer: the NVIDIA RTX A4500 20GB generates a median 97.3 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 3 cited runs from llama.cpp GitHub and knightli.com. Its 20 GB of VRAM holds up to Gemma 2 27B at Q4_K_M with an ~8K context, by the Will-It-Run matrix's sizing (16 of 27 models fit).

Who should buy this instead: the NVIDIA RTX A4500 20GB's 20 GB puts it in the 16 GB tier of the local-LLM GPU picks by VRAM (one card per tier, each with cited tok/s). If the models you run fit in 12 GB, compare the 12 GB pick. If they need more than 20 GB, start at the 24 GB pick.

NVIDIA RTX A4500 20GB: verdict by use case

  • For everyday local models (7-9B dense): a median 97.3 tok/s at 4-bit (Q4) under llama.cpp, across 3 cited runs (llama.cpp GitHub, knightli.com).
  • For the largest model in 20 GB: Gemma 2 27B at Q4_K_M with an ~8K context; 16 of the 27 models in the Will-It-Run matrix fit. By the same sizing, 65-73B models at Q4 do not fit, so 70B-class work needs a card with more VRAM or CPU offload.
  • For gaming: 48 fps average in Tom Clancy's The Division 2 at 4K Ultra, per Cloud Gaming Battle.

Each verdict quotes a figure from a linked source or a row in the tables below. Where no cited figure exists for a use case, there is no verdict line for it.

Bottom line: how fast is the NVIDIA RTX A4500 20GB?

SpecPicks median: 97.3 tokens/sec across 3 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 97.3–103 tok/s), from llama.cpp GitHub (2 runs), knightli.com. At 4K Ultra, the NVIDIA RTX A4500 20GB averages 48 fps in Tom Clancy's The Division 2, per Cloud Gaming Battle. For local LLM inference it generates 44.0 tokens/sec running qwen2.5:14b at q4_K_M under llamafile, per LocalScore. In PassMark G3D Mark it scores 20,657 points, per PassMark. It has 20 GB of VRAM, and the largest model on file at 4-bit quantization on this card is qwen2.5:14b (14B parameters, q4_K_M), generating 44.0 tokens/sec under llama.cpp, per LocalScore. Larger models have no sourced run on file.

Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from; the SpecPicks median is computed here from the runs it names, each a row in the AI table. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

Check what fits in 20 GB: by file size at each listed quantization, 16 of the 27 open-weight model files in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA RTX A4500 20GB's 20 GB while keeping at least 1.5 GB reserved for an ~8K context; the largest that fits, Gemma 2 27B (a 16.7 GB Q4_K_M file per its Hugging Face listing), leaves roughly 3.4 GB free. Check a model in the Will-It-Run matrix →

What fits in the NVIDIA RTX A4500 20GB's 20 GB, and what doesn't

4 of these 7 model files load whole into 20 GB with room for an ~8K context. A file fits when the card keeps at least 1.5 GB free after the weights; file sizes are the GGUF downloads on Hugging Face. Speeds are this card's single-user generation speed from cited community runs at the Q4-class file listed; a row with no cited run says so rather than estimating one.

ModelQuantFits in 20 GB?Cited speed on this card
Llama 3.1 8B 4.9 GB fileQ4_K_MFits~15.1 GB left for context77.9 tok/s1 cited run, llamafile, per LocalScore (Mozilla Builders)
Qwen3 14B 9 GB fileQ4_K_MFits~11 GB left for contextNo public measurement on file
gpt-oss-20b 21B-A3.6B · 12.1 GB fileMXFP4Fits~7.9 GB left for contextNo public measurement on file
Qwen3 30B-A3B 18.6 GB fileQ4_K_MTight fitunder 1.5 GB left for contextNo public measurement on file
Qwen3 32B 19.8 GB fileQ4_K_MDoesn't fit-0.2 GB over; runs only with CPU offload— (does not load into VRAM)
Gemma 3 27B 28.7 GB fileQ8_0Doesn't fit8.7 GB over; runs only with CPU offload— (does not load into VRAM)
Llama 3.3 70B 42.5 GB fileQ4_K_MDoesn't fit22.5 GB over; runs only with CPU offload— (does not load into VRAM)

The NVIDIA RTX A4500 20GB is a graphics card from the Ampere Pro family released in 2021 from NVIDIA. Key on-paper specs include 20 GB of GDDR6 VRAM, 200W TDP. It launched with a $1,700 MSRP, though street prices typically diverge meaningfully from launch pricing. Data on this page draws on 9 synthetic benchmark results, 6 community AI inference reports, 10 game frame-rate results, compiled from Cloud Gaming Battle, CpuTronic, LocalScore, TopCPU, GPU-Monkey, knightli.com, llama.cpp GitHub, 3DMark, PassMark; each table row links to its source. Read this page when shopping the NVIDIA RTX A4500 20GB, comparing it against other graphics cards in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, synthetic benchmark scores, or local LLM inference).

Gaming Performance (reported FPS)

Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.

Gaming frame rates for the NVIDIA RTX A4500 20GB by game, resolution, and quality preset. Rows from aggregator sites are estimates, not measured runs, dated by when SpecPicks fetched them. “1% low” is the frame-time floor that determines perceived smoothness. Each row links to its original review or benchmark database.
Game Resolution Settings Relative Avg FPS 1% low Source
Shadow of the Tomb Raider 1080p Highest 179 fps — CpuTronic 2026-04-29
Shadow of the Tomb Raider 1080p Highest 175 fps — TopCPU 2026-07-09
Shadow of the Tomb Raider 1440p Highest 122 fps — CpuTronic 2026-04-29
Tom Clancy's The Division 2 1080p Ultra 95 fps — Cloud Gaming Battle 2022-12-13
The Division 2 1080p Ultra 95 fps — Cloud Gaming Battle 2022-12-13
Shadow of the Tomb Raider 4K Highest 66 fps — CpuTronic 2026-04-29
Tom Clancy's The Division 2 4K High 65 fps — Cloud Gaming Battle 2022-12-13
Tom Clancy's The Division 2 4K Ultra 48 fps — Cloud Gaming Battle 2022-12-13
The Division 2 4K Ultra 48 fps — Cloud Gaming Battle 2022-12-13
Cyberpunk 2077 4K RT Ultra RT on 35 fps — Cloud Gaming Battle 2022-12-13

AI Inference Performance

Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.

Local LLM inference throughput on the NVIDIA RTX A4500 20GB, in generated tokens per second for a single request (one user's generation speed). Higher is better; each row links to the community report or benchmark database it came from.
Model Quantization Relative Tokens/sec VRAM used Source
llama3.2:1b q4_K_M llamafile 286.0 tok/s — LocalScore (Mozilla Builders) retrieved 2026-07-09
llama2:7b q4_0 llama.cpp 103.0 tok/s — llama.cpp GitHub (CUDA performance scoreboard, Discussion #15013) 2025-08
llama2:7b q4_0 llama.cpp 97.3 tok/s — llama.cpp GitHub Discussion #15013 2024-06
llama2:7b Q4_0 llama.cpp 97.3 tok/s — knightli.com 2026-04-23
llama3.1:8b q4_K_M llamafile 77.9 tok/s — LocalScore (Mozilla Builders) retrieved 2026-07-09
qwen2.5:14b q4_K_M llamafile 44.0 tok/s — LocalScore (Mozilla Builders) retrieved 2026-07-09

Synthetic Benchmarks

Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.

Synthetic benchmark scores for the NVIDIA RTX A4500 20GB — higher is better. Each row links to the public database the number was taken from. A benchmark listed more than once is separate published results, shown as published rather than averaged.
Benchmark Relative Score Source
PassMark G3D Mark 20,657 points PassMark retrieved 2026-04-29
3DMark Time Spy 13,126 points CpuTronic retrieved 2026-08-09
3DMark Time Spy Graphics 12,926 points GPU-Monkey 2026-10-08
3DMark Time Spy 12,815 points TopCPU retrieved 2026-06-09
3DMark Time Spy Extreme 6,380 points TopCPU retrieved 2026-07-09
3DMark Time Spy Extreme Graphics 6,336 points GPU-Monkey 2026-10-08
3DMark Speed Way 3,578 points 3DMark 2023-04-06
3DMark Steel Nomad DX12 Graphics 3,207 points 3DMark (UL Benchmarks) 2026-10-08
3DMark Steel Nomad 3,186 points CpuTronic retrieved 2026-09-08Same result reported by UL Benchmarks

Full Specifications

TDP200 W
VRAM20 GB
CUDA cores7168
Memory typeGDDR6

NVIDIA RTX A4500 20GB — Frequently Asked Questions

What is the NVIDIA RTX A4500 20GB best used for?
NVIDIA RTX A4500 20GB is a 20 GB VRAM Ampere Pro-family workstation graphics card. Professional 3D modeling, CAD, rendering and simulation on certified drivers are the headline use cases; the benchmark tables on this page place it within its generation.
When was the NVIDIA RTX A4500 20GB released, and what was its launch MSRP?
NVIDIA RTX A4500 20GB launched in 2021 at a $1,700 MSRP. Street prices drift from launch pricing over a product's life, so check the current listing before buying.
Where do the NVIDIA RTX A4500 20GB benchmark numbers come from?
Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.
Can the NVIDIA RTX A4500 20GB run local LLMs?
Yes — AI inference results for the NVIDIA RTX A4500 20GB are on file; the AI Inference Performance section on this page lists model, quantization and tokens-per-second for each run. 20 GB VRAM fits 13-17B-parameter models at Q4.
Where can I buy the NVIDIA RTX A4500 20GB?
SpecPicks has no verified listing of the NVIDIA RTX A4500 20GB on file yet; the Amazon search link at the top of this page shows its current offers. SpecPicks earns a small affiliate commission on qualifying purchases.

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