AMD-Pro-BenchCommunity

13,812 benchmarks in 32 GPU combinations documented

RX 7900 XTX LLM benchmarks

909 results · 2,179 measurements · 37 sources

Device specifications
VariantMemoryMemory typeBusBandwidthFP16 matrixINT8 matrix
RX 7900 XTX ↗24 GBGDDR6384-bit960 GB/s123 TFLOPS123 TOPS

Manufacturer specifications. Shared system RAM is not dedicated VRAM. Unreported values remain —; measured LLM results retain their reported configuration.

Selected reported tests

24 of 909 results

Source-reported results, selected across reports by documentation quality. Match configurations before comparing values.

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Generic LLM
Llama-3-8B-InstructBF16Model ref. ↗LoRA trainingyahma/alpaca-cleaned; packed; revision unreported
1.9062 lossFinal-step training loss · Cross-entropy on the final training step; not held-out evaluation · Lower is better
1,073.57 tok/sTraining · per GPU
——1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Linux
Engine
torchtune
Backend
ROCm
Harness
torchtune lora_finetune_single_device
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
2024-06-16
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llm-bench.io
Qwen3.8-27BIQ4_XSWeights ↗Conflicting evidencellm-bench.io QualityFour sequential scenarios: agent workflow, code generation, role play, research
87.88 / 100LLM judge · Mean
547.47 tok/sPrefill · mean · per request
64.03 tok/sGeneration · mean · per request
GPU count unknownUnknown · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
CachyOS
Engine
llama.cpp
Backend
Not reported
Harness
llm-benchmark 0.4.80+98
Prompt / output
? / ? tokens
Context
65536
Concurrency
1
Date
2026-09-27
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Custom evaluation
Qwen3.8-Flash-NextUD-Q3_K_XLModel ref. ↗AIME24LLST protocol 1.0 subset · 10 pinned LLST v1.0 questions; not the full AIME24 benchmark32K configured context
30 %Score · n = 100 · Strict numeric extraction
——2 × RX 7900 XTXMulti-GPU · split unknown · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Ubuntu 24.04 LTS
Engine
llama.cpp
Backend
ROCm / HIP
Harness
Local LLM Standard Test (LLST) 1.0 / EvalScope
Prompt / output
? / ? tokens
Context
32768
Concurrency
Not reported
Date
2026-09-17
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Generic LLM
Qwen3.8-27BW4A16 AutoRound GPTQWeights ↗Token speed—
1,016.56 tok/sPrefill · per request
27.55 tok/sGeneration · per request
Mixed: RX7900XTX24GB + RX7700XT12GB · 2 GPUsPipeline parallel
Configuration
Memory
Not reported
OS
Ubuntu
Engine
vLLM
Backend
ROCm / HIP
Harness
Author vLLM request test
Prompt / output
4096 / 256 tokens
Context
Not reported
Concurrency
1
Date
2026-09-04
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Generic LLM
Llama-3.2-1B-InstructQ4_K_MModel ref. ↗Token speed—
5,776.99 tok/sPrefill · mean · unknown
172.28 tok/sGeneration · mean · unknown
GPU count unknownUnknown · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows
Engine
llamafile
Backend
Not reported
Harness
LocalScore / llamafile
Prompt / output
1024 / 16 tokens
Context
Not reported
Concurrency
Not reported
Date
2025-09-29
Full record →
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Generic LLM
Llama-3.1-8B-InstructQ4_K_MModel ref. ↗Token speed—
1,044.41 tok/sPrefill · mean · unknown
60.37 tok/sGeneration · mean · unknown
GPU count unknownUnknown · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows
Engine
llamafile
Backend
Not reported
Harness
LocalScore / llamafile
Prompt / output
1024 / 16 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-02-06
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Generic LLM
Qwen2.5-14B-InstructQ4_K_MModel ref. ↗Token speed—
591.81 tok/sPrefill · mean · unknown
37.7 tok/sGeneration · mean · unknown
GPU count unknownUnknown · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows
Engine
llamafile
Backend
Not reported
Harness
LocalScore / llamafile
Prompt / output
1024 / 16 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-04-19
Full record →
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Generic LLM
Llama-3.1-8B-InstructQ4_K_MModel ref. ↗Token speed—
1,068.59 tok/sPrefill · mean · unknown
7.71 tok/sGeneration · mean · unknown
GPU count unknownUnknown · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows
Engine
llamafile
Backend
Not reported
Harness
LocalScore / llamafile
Prompt / output
1024 / 16 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-06-26
Full record →
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Generic LLM
Qwen2.5-14B-InstructQ4_K_MModel ref. ↗Token speed—
592.73 tok/sPrefill · mean · unknown
4.16 tok/sGeneration · mean · unknown
GPU count unknownUnknown · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows
Engine
llamafile
Backend
Not reported
Harness
LocalScore / llamafile
Prompt / output
1024 / 16 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-06-26
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Generic LLM
Llama-3.2-1B-InstructQ4_K_MModel ref. ↗Token speed—
5,076.32 tok/sPrefill · mean · unknown
16.43 tok/sGeneration · mean · unknown
GPU count unknownUnknown · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows
Engine
llamafile
Backend
Not reported
Harness
LocalScore / llamafile
Prompt / output
1024 / 16 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-06-26
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Generic LLM
Qwen3.6-35B-A3BUD-IQ4_NLModel ref. ↗Token speed—
257 tok/sPrefill · per request
168.1 tok/sGeneration · per request
1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Ubuntu Linux
Engine
llama.cpp
Backend
Vulkan
Harness
llama-cli
Prompt / output
? / ? tokens
Context
32768
Concurrency
Not reported
Date
2026-05-25
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LocalMaxxing
Qwen3.6-35B-A3BMQ4RModel ref. ↗Token speed—
913.46 tok/sPrefill · per request
214.72 tok/sGeneration · per request
1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Ubuntu 26.04
Engine
hipfire
Backend
Not reported
Harness
LocalMaxxing community speed test; exact client where reported
Prompt / output
38 / 128 tokens
Context
4096
Concurrency
1
Date
2026-08-10
Full record →
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llama-bench
DeepSeek-R1-Distill-Llama-8BQ8_0Model ref. ↗Token speed—
2,970.26 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Ubuntu 26.04 / Linux7.0
Engine
llama.cpp
Backend
Vulkan
Harness
Phoronix Test Suite / llama-bench
Prompt / output
2048 / 0 tokens
Context
Not reported
Concurrency
1
Date
Not reported
Full record →
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Generic LLM
Qwen3.8-27BW4A16-AutoRound-GPTQModel ref. ↗Token speedLong output gen512——
97.38 tok/sGeneration · per request
2 × RX 7900 XTXTensor parallel · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Ubuntu (native Linux)
Engine
SGLang
Backend
ROCm / HIP
Harness
Author long-context streaming, concurrent-wave and prefill-interference client
Prompt / output
? / 512 tokens
Context
196608
Concurrency
1
Date
2026-09-18
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llama-bench
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-LOW-MTPIQ4_XSRepository unresolvedToken speed—
1,075.8 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Not reported
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
16384
Concurrency
1
Date
2026-08-02
Full record →
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llama-bench
Llama-2-7BQ4_0Weights ↗Token speed—
758.55 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Arch Linux / Linux 6.12.61-1-lts
Engine
llama.cpp
Backend
Vulkan
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2025-12-11
Full record →
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Generic LLM
Qwen3.8-27BUD-Q4_K_XLModel ref. ↗Token speed
~40.4 tok/sThroughput · per request
——1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows 11
Engine
llama.cpp
Backend
Vulkan
Harness
llama-server completion wall-time test
Prompt / output
31 / 1200 tokens
Context
65536
Concurrency
1
Date
Not reported
Full record →
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llama-bench
Llama-2-7BQ4_0Weights ↗Token speed—
3,243.15 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Opensuse tumbleweed
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2025-08-05
Full record →
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llama-bench
Llama-2-7BQ4_0Weights ↗Token speed—
2,817.81 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Arch Linux
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2025-09-17
Full record →
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llama-bench
Llama-2-7BQ4_0Weights ↗Token speed—
3,434.01 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows 11 24H2 26100.4652
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2025-08-06
Full record →
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llama-bench
Llama-2-7BQ4_0Weights ↗Token speed—
3,386.75 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Ubuntu 24.04.2
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2025-08-08
Full record →
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llama-bench
Llama-2-7BQ4_0Weights ↗Token speed—
3,473.24 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Ubuntu 24.04.2
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2025-08-13
Full record →
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llama-bench
gemma-4-31B-itQ8_0Model ref. ↗Token speed—
920.55 tok/sPrefill · mean · per request
—2 × RX 7900 XTXLayer split · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
CachyOS x86_64
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2026-08-23
Full record →
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llama-bench
Llama-2-7BQ4_0Weights ↗Token speed—
4,145.55 tok/sPrefill · mean · per request
—1 × RX 7900 XTXSingle GPU · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Windows 11 25H2 26200.9445
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2026-09-10
Full record →
Models and software in this collection

Model families: DeepSeek Coder V2, DeepSeek R1, Devstral Small 2, GLM 4.7, GPT-OSS, Gemma 4, Granite 3.0, Laguna, Llama 2, Llama 3, Llama 3.1, Llama 3.2, Ministral 3, Mistral, Mistral Small 3.2, Muse Glimmer, Qwen2.5, Qwen25, Qwen3, Qwen3.5, Qwen3.6, Qwen3.8, Qwen38

Engines: LM Studio, Ollama, SGLang, Strata, Unsloth Studio, hipfire, llama.cpp, llamafile, lmstudio, qwen-kernel, torchtune, vLLM

Methodology and evidence standards · Download the research dataset