NVIDIA RTX A4500 20GB — Benchmarks & Specs
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).
- Median speed 97.3 tok/s 3 cited runs, 7-9B at Q4, llama.cpp
- Fits in 20 GB up to Gemma 2 27B at Q4_K_M → at ~8K context; 16 of 27 models in the Will-It-Run matrix
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.
| Model | Quant | Fits in 20 GB? | Cited speed on this card |
|---|---|---|---|
| Llama 3.1 8B 4.9 GB file | Q4_K_M | Fits~15.1 GB left for context | 77.9 tok/s1 cited run, llamafile, per LocalScore (Mozilla Builders) |
| Qwen3 14B 9 GB file | Q4_K_M | Fits~11 GB left for context | No public measurement on file |
| gpt-oss-20b 21B-A3.6B · 12.1 GB file | MXFP4 | Fits~7.9 GB left for context | No public measurement on file |
| Qwen3 30B-A3B 18.6 GB file | Q4_K_M | Tight fitunder 1.5 GB left for context | No public measurement on file |
| Qwen3 32B 19.8 GB file | Q4_K_M | Doesn't fit-0.2 GB over; runs only with CPU offload | — (does not load into VRAM) |
| Gemma 3 27B 28.7 GB file | Q8_0 | Doesn't fit8.7 GB over; runs only with CPU offload | — (does not load into VRAM) |
| Llama 3.3 70B 42.5 GB file | Q4_K_M | Doesn'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.
| 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.
| 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.
| 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
| TDP | 200 W |
|---|---|
| VRAM | 20 GB |
| CUDA cores | 7168 |
| Memory type | GDDR6 |
NVIDIA RTX A4500 20GB — Frequently Asked Questions
What is the NVIDIA RTX A4500 20GB best used for?
When was the NVIDIA RTX A4500 20GB released, and what was its launch MSRP?
Where do the NVIDIA RTX A4500 20GB benchmark numbers come from?
Can the NVIDIA RTX A4500 20GB run local LLMs?
Where can I buy the NVIDIA RTX A4500 20GB?
Buying guides that rank the NVIDIA RTX A4500 20GB's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
Editorial guides covering the NVIDIA RTX A4500 20GB
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