AMD Radeon RX 9060 XT 16GB — Benchmarks & Specs
Short answer: the AMD Radeon RX 9060 XT 16GB generates a median 67.6 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 3 cited runs from llama.cpp GitHub Discussion and GitHub/parsapp. Its 16 GB of VRAM holds up to gpt-oss-20b at MXFP4 with an ~8K context, by the Will-It-Run matrix's sizing (14 of 27 models fit). At the $589.99 Amazon price checked 9 h ago (prices change), that is 114.5 tok/s per $1,000, the SpecPicks Value Index.
- Median speed 67.6 tok/s 3 cited runs, 7-9B at Q4, llama.cpp
- Fits in 16 GB up to gpt-oss-20b at MXFP4 → at ~8K context; 14 of 27 models in the Will-It-Run matrix
- Lowest linked price $589.99 Amazon, checked ; prices change
- Value Index 114.5 tok/s per $1,000 median speed ÷ the price above
Who should buy this instead: the AMD Radeon RX 9060 XT 16GB's 16 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 16 GB, start at the 24 GB pick.
Bottom line: how fast is the Radeon RX 9060 XT 16GB?
SpecPicks median: 67.6 tokens/sec across 3 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 50.1–70.5 tok/s), from llama.cpp GitHub Discussion (2 runs), GitHub/parsapp. At the $589.99 Amazon price of the cheapest linked listing (checked ; prices change), that is a SpecPicks Value Index of 114.5 tok/s per $1,000. At 1440p Prioritize Graphics, the Radeon RX 9060 XT 16GB averages 106 fps in Resident Evil 4 Remake, per Gamers Nexus. For local LLM inference it generates 33.5 tokens/sec running qwen2.5-coder:14b at q4_K_M under llama.cpp, per GitHub/parsapp. In Geekbench 6 OpenCL it scores 102,750 points, per StorageReview. Its 16 GB of VRAM is the binding constraint for local inference: the largest model on file at 4-bit quantization on this card is qwen3.8:27b (27B parameters, IQ4_XS), generating 20.1 tokens/sec under llama.cpp (Vulkan), per llama.cpp GitHub Discussion. 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 gpt-oss-20b at MXFP4 is the largest that fits in 16 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; the SpecPicks median is computed here from the runs it names, each a row in the AI table, and the per-$1,000 figure divides it by the dated listing price. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.
Amazon listing: $589.99
This Amazon listing is above the Radeon RX 9060 XT 16GB's $349 launch MSRP. Compare new and used listings on eBay before buying.
*Price sourced from Amazon.com. Last updated 2026-10-22. Price and availability subject to change.
Read the full comparison → Qwen 3.6 35B-A3B on a 16GB GPU: RTX 5060 Ti vs RX 9060 XT Quant Table
Check what fits in 16 GB: by file size at each listed quantization, 14 of the 27 open-weight model files in the SpecPicks Will-It-Run matrix load entirely into the AMD Radeon RX 9060 XT 16GB's 16 GB while keeping at least 1.5 GB reserved for an ~8K context; the largest that fits, gpt-oss-20b (a 12.1 GB MXFP4 file per its Hugging Face listing), leaves roughly 3.9 GB free. Check a model in the Will-It-Run matrix →
The Radeon RX 9060 XT 16GB is a graphics card from the RDNA 4 family released in 2025 from AMD. Key on-paper specs include 16 GB of GDDR6 VRAM, 320 GB/s of memory bandwidth, 160W TDP. It launched with a $349 MSRP, though street prices typically diverge meaningfully from launch pricing — see the linked product cards below for current listings. Data on this page draws on 12 linked listings, 18 synthetic benchmark results (top 10 shown), 18 community AI inference reports (top 14 shown), 58 measured game frame-rate results (top 14 shown), compiled from Gamers Nexus, StorageReview, llama.cpp GitHub Discussion, Engadget, LANOC, Technetbooks, Funky Kit, GitHub/parsapp, PassMark; each table row links to its source. Read this page when shopping the Radeon RX 9060 XT 16GB, 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 (measured 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 |
|---|---|---|---|---|---|---|
| Call of Duty: Warzone | 1440p | Extreme FSR 4 | 254 fps | — | Engadget 2025-06-04 | |
| Forza Horizon 5 | 1440p | Ultra | 165 fps | 142 fps | Technetbooks 2025-06-04 | |
| The Witcher 3: Wild Hunt | 1440p | Ultra | 127 fps | 103 fps | Technetbooks 2025-06-04 | |
| Cyberpunk 2077 | 1440p | Ultra FSR Quality | 115 fps | — | LanOC Reviews 2025-06-04 | |
| Cyberpunk 2077 | 1080p | — | 114 fps | — | Engadget 2025-06-04 | |
| Call of Duty: Warzone | 1440p | Extreme | 110 fps | — | Engadget 2025-06-04 | |
| Baldur's Gate 3 | 1440p | Ultra | 109 fps | 80 fps | Technetbooks 2025-06-04 | |
| Resident Evil 4 | 1440p | Graphics Priority | 106 fps | — | Gamers Nexus 2025-07-24 | |
| Resident Evil 4 | 1440p | Prioritize Graphics | 106 fps | — | Gamers Nexus 2025-06-04 | |
| Resident Evil 4 Remake | 1440p | Prioritize Graphics | 106 fps | — | Gamers Nexus 2025-07-24 | |
| Resident Evil 4 | 1440p | Graphics Priority RT on FSR Quality | 102 fps | — | Gamers Nexus 2025-07-24 | |
| Cyberpunk 2077 | 1080p | Ultra | 100 fps | — | Gamers Nexus 2025-06-04 | |
| Cyberpunk 2077 | 1440p | — | 90 fps | — | Engadget 2025-06-04 | |
| Dragon's Dogma 2 | 1080p | Ultra | 86 fps | — | Gamers Nexus 2025-06-04 |
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 |
|---|---|---|---|---|---|
| gpt-oss:20b | MXFP4 llama.cpp (Vulkan) | 105.8 tok/s | — | llama.cpp GitHub ROCm perf discussion #15021 2026-10-02 | |
| microsoft/phi | INT4 procyon | 94.5 tok/s | — | StorageReview 2025-06-04 | |
| phi-3.5-mini | — UL Procyon AI Text Generation | 94.5 tok/s | — | StorageReview 2025-06-04 | |
| llama2:7b | q4_0 llama.cpp (Vulkan) | 72.2 tok/s | 3.6 GB | llama.cpp GitHub ROCm perf discussion #15021 2025-09-14 | |
| llama2:7b | q4_0 llama.cpp | 70.5 tok/s | — | llama.cpp GitHub Discussion #10879 2025-07 | |
| llama2:7b | q4_0 llama.cpp | 70.2 tok/s | 3.6 GB | llama.cpp GitHub ROCm perf discussion #15021 2026-10-02 | |
| llama2:7b | q4_0 llama.cpp | 67.6 tok/s | — | llama.cpp GitHub Discussion #15021 2025-07 | |
| mistral:7b | INT4 procyon | 65.1 tok/s | — | StorageReview 2025-06-04 | |
| llama3.1:8b | — UL Procyon AI Text Generation | 53.2 tok/s | — | StorageReview 2025-06-04 | |
| llama3:8b | INT4 procyon | 53.2 tok/s | — | StorageReview 2025-06-04 | |
| Qwen 3.5 9B | q4_K_M llama.cpp | 50.1 tok/s | — | GitHub/parsapp 2025-06 | |
| gemma4:12b | q4_K_M llama.cpp (Vulkan) | 39.0 tok/s | — | llama.cpp GitHub ROCm perf discussion #15021 2026-10-02 | |
| qwen2.5-coder:14b | q4_K_M llama.cpp | 33.5 tok/s | 8.4 GB | llama.cpp community benchmark (GitHub: parsapp/rx9060xt-llm-benchmarks) | |
| qwen3.8:27b | IQ4_XS llama.cpp (Vulkan) | 20.1 tok/s | — | llama.cpp GitHub ROCm perf discussion #15021 2026-10-02 |
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 6 OpenCL | 102,750 points | StorageReview 2025-06-04 | |
| 3DMark Fire Strike | 38,923 points | LANOC 2025-06-04 | |
| 3DMark Fire Strike | 33,977 points | Funky Kit 2025-11-27 | |
| PassMark G3D Mark | 20,122 pts | PassMark retrieved 2026-04-20 | |
| 3DMark Fire Strike Extreme | 18,501 points | LANOC 2025-06-04 | |
| 3DMark Time Spy | 16,951 points | Funky Kit 2025-11-27 | |
| 3DMark Time Spy | 16,333 points | LANOC 2025-06-04 | |
| 3DMark Time Spy | 16,162 points | LanOC Reviews 2025-06-04 | |
| 3DMark Port Royal | 9,751 points | StorageReview 2025-06-04 | |
| 3DMark Fire Strike Ultra | 9,436 points | LANOC 2025-06-04 |
Products Featuring the Radeon RX 9060 XT 16GB
Systems with the Radeon RX 9060 XT 16GB
Laptops and desktops that ship with the Radeon RX 9060 XT 16GB — whole systems, listed separately from the part itself.
Full Specifications
| Die | Navi 44 |
|---|---|
| PCIe | 5.0 x16 |
| TDP | 160 W |
| VRAM | 16 GB |
| Process | 4 nm |
| Memory type | GDDR6 |
| Architecture | RDNA 4 |
| Compute units | 32 |
| Memory bus | 128-bit |
| Boost clock | 3130 MHz |
| Stream processors | 2048 |
| Memory bandwidth | 320 GB/s |
Radeon RX 9060 XT 16GB — Frequently Asked Questions
What is the Radeon RX 9060 XT 16GB best used for?
When was the Radeon RX 9060 XT 16GB released, and what was its launch MSRP?
Where do the Radeon RX 9060 XT 16GB benchmark numbers come from?
Can the Radeon RX 9060 XT 16GB run local LLMs?
Where can I buy the Radeon RX 9060 XT 16GB?
Buying guides that rank the Radeon RX 9060 XT 16GB'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 Radeon RX 9060 XT 16GB
In-depth SpecPicks reviews, build guides, and head-to-heads referencing this graphics card.
- Gemma 4 31B on a 16GB GPU: RTX 5060 Ti vs RX 9060 XT vs Arc A770 Quant Table (2026)
- Qwen 3.6 27B on 16GB: RTX 5060 Ti 16GB vs RX 9060 XT 16GB by Quant (2026)
- Qwen 3.6 35B-A3B on a 16GB GPU: RTX 5060 Ti vs RX 9060 XT Quant Table
- Local-LLM PC Build on a 16GB Card: What r/LocalLLaMA and r/buildapc Concluded (2026)
- RX 9060 XT 16GB vs RTX 3060 12GB for Local LLMs: 4GB More VRAM, Which Wins?
- GPU Deals for Local LLMs 2026: 12GB vs 16GB Cards
- Best GPU for Local LLMs by VRAM: 2026 Reddit Consensus
- RTX 3060 12GB Local LLM: Reddit Consensus on What Runs (2026)
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