AMD-Pro-BenchCommunity

13,812 benchmarks in 32 GPU combinations documented

RX 9070 XT LLM benchmarks

530 results · 932 measurements · 21 sources

Device specifications
VariantMemoryMemory typeBusBandwidthFP16 matrixINT8 matrix
RX 9070 XT ↗16 GBGDDR6256-bit640 GB/s195 TFLOPS389 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 530 results

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

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Custom evaluation
Qwen3.5-27BQ4_K_MModel ref. ↗Local LLM custom suite4b · Math / math_basic
100 %Score · 1 / 1 · Custom answer parser
6.42 tok/sThroughput · per request
——1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Ubuntu 24.04 LTS
Engine
Ollama
Backend
ROCm / HIP
Harness
benchmark_v4b.py
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
1
Date
2026-03-19
Full record →
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Generic LLM
Qwen3.8-27BCustom mixed 2.72 BPW (pareto-bf16)Model ref. ↗LongBench v225 short/medium problems, seed42; mixed easy/hard1 concurrent request
56 %Score · n = 100
——1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows
Engine
llama.cpp
Backend
Vulkan
Harness
Custom evaluation runner
Prompt / output
? / ? tokens
Context
262144
Concurrency
1
Date
2026-08-24
Full record →
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Custom evaluation
Qwen3-14BQ4_K_MModel ref. ↗Custom C++ corpus perplexity~960KB C++ corpus2K configured context
1.7031 perplexityScore · Perplexity · Lower is better
——1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
NixOS
Engine
llama.cpp TurboQuant fork
Backend
ROCm / HIP
Harness
llama-perplexity
Prompt / output
? / ? tokens
Context
2048
Concurrency
Not reported
Date
Not reported
Full record →
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Coding session
Qwen3.6-27BQ4_K_MModel ref. ↗Token speed
17.14 tok/sThroughput · per request
1,592.45 tok/sPrefill · per request
23.5 tok/sGeneration · per request
2 × RX 9070 XTLayer split · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11
Engine
llama.cpp RDNA lab fork
Backend
ROCm / HIP
Harness
agent_workload_bench.py
Prompt / output
6393 / 256 tokens
Context
12288
Concurrency
1
Date
2026-07-15
Full record →
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Coding session
Qwen3.8-27BUD-Q4_K_MModel ref. ↗Token speed
14.2 tok/sThroughput · per request
2,061.11 tok/sPrefill · per request
24.7 tok/sGeneration · per request
2 × RX 9070 XTLayer split · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11
Engine
llama.cpp RDNA lab fork
Backend
ROCm / HIP
Harness
agent_workload_bench.py
Prompt / output
8386 / 128 tokens
Context
16384
Concurrency
1
Date
2026-09-26
Full record →
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LocalMaxxing
gemma-4-12B-itQ4_K_MModel ref. ↗Token speed—
955.8 tok/sPrefill · median · unknown
110.7 tok/sGeneration · median · unknown
1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
linux
Engine
llama.cpp
Backend
Not reported
Harness
LocalMaxxing community speed test; exact client where reported
Prompt / output
305 / 256 tokens
Context
262144
Concurrency
Not reported
Date
2026-10-06
Full record →
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llama-bench
Llama-3.2-3B-InstructQ4_K_MModel ref. ↗Token speed—
7,533.54 tok/sPrefill · mean · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Fedora 44 / kernel 7.1.3-201.fc44.x86_64
Engine
llama.cpp
Backend
Vulkan
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-07-15
Full record →
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llama-bench
Llama-2-7BQ4_0Model ref. ↗Token speed—
4,343.73 tok/sPrefill · mean · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Fedora 44 / kernel 7.1.3-201.fc44.x86_64
Engine
llama.cpp
Backend
Vulkan
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-07-15
Full record →
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llama-bench
Qwen3-14BQ4_K_MWeights ↗Token speed——
8.1 tok/sGeneration · per request
1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11 (10.0.26200)
Engine
llama.cpp
Backend
Vulkan
Harness
llama-bench
Prompt / output
0 / 16 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-08-06
Full record →
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llama-bench
Qwen3-0.6BQ4_K_MWeights ↗Token speed—
18,116 tok/sPrefill · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11
Engine
llama.cpp
Backend
Vulkan
Harness
llama-bench
Prompt / output
128 / 0 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-08-07
Full record →
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llama-bench
Laguna XS.2 33B-A3BQ4_K_MRepository unresolvedToken speed—
2,548.1 tok/sPrefill · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
CachyOS / kernel 7.2.6
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
4096 / 0 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-09-21
Full record →
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llama-bench
Qwen3.8-27BUD-IQ4_XSModel ref. ↗Token speed—
1,268.76 tok/sPrefill · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Not reported
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-09-12
Full record →
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llama-bench
DeepSeek-R1-Distill-Llama-8BQ8_0Model ref. ↗Token speed——
71.31 tok/sGeneration · mean · per request
1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Ubuntu 26.04 LTS / Linux 7.0
Engine
llama.cpp
Backend
Vulkan
Harness
Phoronix Test Suite / llama-bench
Prompt / output
0 / 128 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-06-01
Full record →
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llama-bench
deepseek2 16B Q4_K (Lite) (checkpoint unspecified)Q4_K (Lite)Model ref. ↗Token speed—
5,887.59 tok/sPrefill · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows
Engine
LLAMA-DX / llama.cpp fork
Backend
Vulkan
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-07-20
Full record →
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llama-bench
Gemma 4-26B-A4BQ4_K_MRepository unresolvedToken speed—
1,949.9 tok/sPrefill · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
CachyOS / kernel 7.1.5
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
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Generic LLM
Llama-2-13b-chatQuant not reportedModel ref. ↗Procyon——
61.13 tok/sGeneration · per request
1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11 Pro for Workstations
Engine
ONNX Runtime
Backend
DirectML
Harness
Procyon
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
2025-06-04
Full record →
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llama-bench
Qwen3.6-35B-A3BUD-IQ3_SWeights ↗Token speed2,048 input tokens · 0 output tokens · 48,000 existing KV tokens—
1,875.05 tok/sPrefill · mean · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Ubuntu 26.04 / Linux 7.0.0-31-generic
Engine
llama.cpp
Backend
Vulkan / RADV
Harness
llama-bench
Prompt / output
2048 / 0 tokens
Context
Not reported
Concurrency
1
Date
Not reported
Full record →
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Generic LLM
Qwen3.6-35B-A3BUD-IQ3_SModel ref. ↗Token speed—
1,055 tok/sPrefill · per request
—1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Not reported
Engine
Custom HIP LLM runner
Backend
ROCm / HIP
Harness
test_hip_llm --bench
Prompt / output
512 / ? tokens
Context
1300
Concurrency
1
Date
2026-06-10
Full record →
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Generic LLM
gpt-oss-20bQ4_K_MWeights ↗Token speed
179.24 tok/sThroughput · unknown
——GPU count unknownUnknown · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Ubuntu 24 (point release unreported)
Engine
llama.cpp
Backend
Vulkan
Harness
Author benchmark script
Prompt / output
? / ? tokens
Context
8096
Concurrency
Not reported
Date
2026-01-25
Full record →
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Generic LLM
Qwen3-14BQuant not reportedModel ref. ↗Token speed
53.73 tok/sThroughput · unknown
——1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Not reported
Engine
Ollama
Backend
Not reported
Harness
Not reported
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
View
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Generic LLM
MLPerf Client v1.0 (selected models unreported)Quant not reportedRepository unresolvedToken speed1.0 · MLPerf Client——
117 tok/sGeneration · per request
1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11 Pro 64-bit (26200)
Engine
ONNX Runtime
Backend
DirectML
Harness
MLPerf Client v1.0
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
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Custom evaluation
Qwen3.5-27BQ4_K_MModel ref. ↗Local LLM custom suite4b · Math / math_discount
100 %Score · 1 / 1 · Custom answer parser
6.4 tok/sThroughput · per request
——1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Ubuntu 24.04 LTS
Engine
Ollama
Backend
ROCm / HIP
Harness
benchmark_v4b.py
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
1
Date
2026-03-19
Full record →
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Generic LLM
Qwen3.8-27BCustom mixed 2.72 BPW (pareto-bf16)Model ref. ↗GSM8K30 problems with199.7K resident context1 concurrent request
96.7 %Reported accuracy · n = 100
——1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows
Engine
llama.cpp
Backend
Vulkan
Harness
Custom evaluation runner
Prompt / output
? / ? tokens
Context
262144
Concurrency
1
Date
Not reported
Full record →
View
Report
Custom evaluation
Qwen3-14BQ4_K_MModel ref. ↗Custom C++ corpus perplexity~960KB C++ corpus2K configured context
1.7044 perplexityScore · Perplexity · Lower is better
——1 × RX 9070 XTSingle GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
NixOS
Engine
llama.cpp TurboQuant fork
Backend
ROCm / HIP
Harness
llama-perplexity
Prompt / output
? / ? tokens
Context
2048
Concurrency
Not reported
Date
Not reported
Full record →
Models and software in this collection

Model families: DeepSeek R1, GPT-OSS, Gemma 4, Granite 3.0, Laguna, Llama 2, Llama 3.1, Llama 3.2, Mistral, Phi 3.5, Qwen3, Qwen3.5, Qwen3.6, Qwen3.8

Engines: Custom HIP LLM runner, LLAMA-DX / llama.cpp fork, ONNX Runtime, Ollama, custom, hipfire, llama.cpp, llama.cpp RDNA lab fork, llama.cpp TurboQuant fork

Methodology and evidence standards · Download the research dataset