NVIDIA RTX A5500 24GB — Benchmarks & Specs
Short answer: the NVIDIA RTX A5500 24GB generates 26.1 tokens/sec on qwen:32b (q4_K_M) under ollama in a single cited run, per DatabaseMart; there are too few comparable runs on file for a median. Its 24 GB of VRAM holds up to DeepSeek-R1-Distill-Qwen 32B at Q4_K_M with an ~8K context, by the Will-It-Run matrix's sizing (20 of 27 models fit). An eBay listing for it is $3,064.33, checked (listings can end at any time).
- Single cited run 26.1 tok/s qwen:32b q4_K_M, per DatabaseMart
- Fits in 24 GB up to DeepSeek-R1-Distill-Qwen 32B at Q4_K_M → at ~8K context; 20 of 27 models in the Will-It-Run matrix
Who should buy this instead: the NVIDIA RTX A5500 24GB's 24 GB puts it in the 24 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 16 GB, compare the 16 GB pick. If they need more than 24 GB, start at the 48 GB+ pick.
Bottom line: how fast is the NVIDIA RTX A5500 24GB?
For local LLM inference it generates 26.1 tokens/sec running qwen:32b at q4_K_M under ollama, per DatabaseMart. In GeekBench 5 OpenCL it scores 173,222 points, per technical.city. Its 24 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is llava:34b (34B parameters, q4_K_M), generating 27.2 tokens/sec under ollama, per DatabaseMart. That run's source does not report a context length; the Will-It-Run matrix sizes each model at its listed quantization with an ~8K context, and by that measure DeepSeek-R1-Distill-Qwen 32B at Q4_K_M is the largest that fits in 24 GB.
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. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
eBay listing (New (other)): $3,064.33, checked . eBay listings are third-party and can end at any time; as an eBay Partner Network member, SpecPicks may earn a commission.
Check what fits in 24 GB: by file size at each listed quantization, 20 of the 27 open-weight model files in the SpecPicks Will-It-Run matrix load entirely into the NVIDIA RTX A5500 24GB's 24 GB while keeping at least 1.5 GB reserved for an ~8K context; the largest that fits, DeepSeek-R1-Distill-Qwen 32B (a 19.9 GB Q4_K_M file per its Hugging Face listing), leaves roughly 4.1 GB free. Check a model in the Will-It-Run matrix →
What fits in the NVIDIA RTX A5500 24GB's 24 GB, and what doesn't
5 of these 7 model files load whole into 24 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 24 GB? | Cited speed on this card |
|---|---|---|---|
| Llama 3.1 8B 4.9 GB file | Q4_K_M | Fits~19.1 GB left for context | No public measurement on file |
| Qwen3 14B 9 GB file | Q4_K_M | Fits~15 GB left for context | No public measurement on file |
| gpt-oss-20b 21B-A3.6B · 12.1 GB file | MXFP4 | Fits~11.9 GB left for context | No public measurement on file |
| Qwen3 30B-A3B 18.6 GB file | Q4_K_M | Fits~5.4 GB left for context | No public measurement on file |
| Qwen3 32B 19.8 GB file | Q4_K_M | Fits~4.2 GB left for context | No public measurement on file |
| Gemma 3 27B 28.7 GB file | Q8_0 | Doesn't fit4.7 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 fit18.5 GB over; runs only with CPU offload | — (does not load into VRAM) |
The NVIDIA RTX A5500 24GB is a graphics card from the Ampere Pro family released in 2021 from NVIDIA. Key on-paper specs include 24 GB of GDDR6 VRAM, 230W TDP. It launched with a $2,500 MSRP, though street prices typically diverge meaningfully from launch pricing. Data on this page draws on 17 synthetic benchmark results (top 10 shown), 12 community AI inference reports, compiled from DatabaseMart, GPU-Monkey, TopCPU.net, 3DMark, CpuTronic, llama.cpp GitHub Discussions, MyAIHardware, PassMark, technical.city; each table row links to its source. Read this page when shopping the NVIDIA RTX A5500 24GB, comparing it against other graphics cards in your build, or sizing it for a specific workload (synthetic benchmark scores or local LLM inference).
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 |
|---|---|---|---|---|---|
| llama2:7b | q4_0 llama.cpp | 130.1 tok/s | — | llama.cpp GitHub Discussions 2024-01 | |
| llama2:13b | q4_K_M ollama | 60.5 tok/s | 8.2 GB | DatabaseMart 2026-07-08 | |
| llama3:8b | q4_K_M llama.cpp | 58.0 tok/s | — | MyAIHardware 2025-01 | |
| deepseek-r1:14b | q4_K_M ollama | 45.6 tok/s | 7.4 GB | DatabaseMart 2026-07-08 | |
| qwen2.5:14b | q4_K_M ollama | 45.5 tok/s | 9.0 GB | DatabaseMart 2026-07-08 | |
| mistral-small:22b | q4_K_M ollama | 37.1 tok/s | 13.0 GB | DatabaseMart 2026-07-08 | |
| gemma2:27b | q4_K_M ollama | 28.8 tok/s | 19.2 GB | DatabaseMart 2026-07-08 | |
| llava:34b | q4_K_M ollama | 27.2 tok/s | 18.7 GB | DatabaseMart 2026-07-08 | |
| qwen:32b | q4_K_M ollama | 26.1 tok/s | 17.3 GB | DatabaseMart 2026-07-08 | |
| deepseek-r1:32b | q4_K_M ollama | 24.2 tok/s | 21.6 GB | DatabaseMart 2026-07-08 | |
| qwq:32b | q4_K_M ollama | 24.1 tok/s | 19.2 GB | DatabaseMart 2026-07-08 | |
| qwen2.5:32b | q4_K_M ollama | 23.9 tok/s | 21.6 GB | DatabaseMart 2026-07-08 |
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 |
|---|---|---|---|
| GeekBench 5 OpenCL | 173,222 points | technical.city retrieved 2026-04-29 | |
| PassMark G3D Mark | 21,192 points | PassMark retrieved 2026-07-09 | |
| 3DMark Fire Strike Extreme Graphics | 19,918 points | GPU-Monkey (3DMark aggregate, PNY RTX A5500 24GB) 2026-10-08 | |
| 3DMark Time Spy | 15,878 points | TopCPU.net retrieved 2026-07-09 | |
| 3DMark Time Spy Graphics | 15,767 points | GPU-Monkey (3DMark aggregate, PNY RTX A5500 24GB) 2026-10-08 | |
| 3DMark Time Spy | 15,314 points | CpuTronic retrieved 2026-08-09 | |
| PassMark GPU Compute | 12,146 points | PassMark Software retrieved 2026-04-29 | |
| 3DMark Port Royal | 10,616 points | GPU-Monkey (3DMark aggregate, PNY RTX A5500 24GB) 2026-10-08 | |
| 3DMark Time Spy | 8,115 points | 3DMark 2024-01 | |
| 3DMark Time Spy Extreme | 8,016 points | TopCPU.net retrieved 2026-07-09 |
Full Specifications
| TDP | 230 W |
|---|---|
| VRAM | 24 GB |
| CUDA cores | 8192 |
| Memory type | GDDR6 |
NVIDIA RTX A5500 24GB — Frequently Asked Questions
What is the NVIDIA RTX A5500 24GB best used for?
When was the NVIDIA RTX A5500 24GB released, and what was its launch MSRP?
Where do the NVIDIA RTX A5500 24GB benchmark numbers come from?
Can the NVIDIA RTX A5500 24GB run local LLMs?
Where can I buy the NVIDIA RTX A5500 24GB?
Buying guides that rank the NVIDIA RTX A5500 24GB's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
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