AMD-Pro-BenchCommunity

13,812 benchmarks in 32 GPU combinations documented

Llama-3.1-8B-Instruct on AMD GPUs

106 results · 15 sources · 160 measurements

Grouped by reported model identity. Exact weights, quantizations and software can differ. How results are reviewed

Documented results

24 selected tests
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Generic LLM
Llama-3.1-8B-InstructQuant not reportedModel ref. ↗Conflicting evidenceLoRA trainingDataset not reported512 configured context
1.2864 lossTraining loss · Loss · Mean · Lower is better
——1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Ubuntu 24.04.4
Engine
PyTorch
Backend
ROCm 7.2
Harness
PyTorch 2.9.1
Prompt / output
? / ? tokens
Context
512
Concurrency
Not reported
Date
Not reported
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
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
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Generic LLM
Llama-3.1-8B-InstructQ4_K_MWeights ↗Token speed——
92.84 tok/sGeneration · per request
1 × W7900Single GPU · 48 GB VRAM/GPU
Configuration
Memory
48 GB VRAM/GPU
OS
Ubuntu 24.04.4 LTS
Engine
llama.cpp / llama-cpp-python
Backend
HIP / ROCm 7.2.1
Harness
VTE Python CLI benchmark
Prompt / output
? / 151 tokens
Context
4096
Concurrency
1
Date
2026-07-19
Full record →
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Serving benchmark
Llama-3.1-8B-InstructFP16Model ref. ↗Conflicting evidenceToken speed
29.1 tok/sThroughput · per request
——1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Rocky Linux 10.1
Engine
vLLM
Backend
ROCm
Harness
GenAI-Perf (streaming)
Prompt / output
? / ? tokens
Context
16384
Concurrency
1
Date
2026-09-10
Full record →
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Generic LLM
Llama-3.1-8B-InstructBF16Model ref. ↗Token speed
61.8 tok/sThroughput · per request
——4 × R9700Tensor parallel · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Linux (distribution not reported)
Engine
vLLM
Backend
ROCm 7.2.2 container / 6.4.3 host
Harness
Not reported
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
1
Date
2026-05-22
Full record →
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Generic LLM
Llama-3.1-8B-InstructQ4_K_SWeights ↗Token speed——
39.87 tok/sGeneration · per request
1 × W7700Single GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Raspberry Pi OS
Engine
llama.cpp
Backend
Vulkan
Harness
Not reported
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
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Generic LLM
Llama-3.1-8B-InstructQuant not reportedModel ref. ↗Procyon——
53.17 tok/sGeneration · per request
1 × RX 9060 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
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Generic LLM
Llama-3.1-8B-InstructQuant not reportedModel ref. ↗Procyon——
65.51 tok/sGeneration · per request
1 × RX 9070 GRESingle GPU · 12 GB VRAM/GPU
Configuration
Memory
12 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
2026-06-01
Full record →
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llama-bench
Llama-3.1-8B-InstructBF16Model ref. ↗Token speed
92.08 tok/sInput + output · mean · per request
——1 × Ryzen AI Max+ 395Single GPU · Unified memory · 128 GB RAM
Configuration
Memory
Unified memory · 128 GB RAM
OS
Fedora 43
Engine
llama.cpp
Backend
ROCm
Harness
llama-bench
Prompt / output
512 / 64 tokens
Context
Not reported
Concurrency
1
Date
2025-12-04
Full record →
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Generic LLM
Llama-3.1-8B-InstructFP8Model ref. ↗Token speed
138 tok/sThroughput · mean · unknown
——2 × R9700Tensor parallel · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Not reported
Engine
vLLM
Backend
Not reported
Harness
Not reported
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
2025-10-27
Full record →
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Generic LLM
Llama-3.1-8B-InstructFP8Model ref. ↗Token speed
77 tok/sThroughput · unknown
——1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Not reported
Engine
Not reported
Backend
Not reported
Harness
Author benchmark script (name unreported)
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
2025-10-27
Full record →
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Generic LLM
Llama-3.1-8B-InstructQuant not reportedModel ref. ↗Procyon1.0.191——
89.79 tok/sGeneration · mean · per request
1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Windows (inferred; version unreported) (inferred)
Engine
Procyon AI Text Generation / ONNXRuntime-DirectML
Backend
DirectML
Harness
Procyon
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
2026-06-26
Full record →
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Generic LLM
Llama-3.1-8B-InstructQuant not reportedModel ref. ↗Procyon
1,787 pointsBenchmark score · Per request
——1 × RX 9070Single GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Not reported
Engine
ONNX Runtime
Backend
DirectML
Harness
Procyon
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
2026-06-02
Full record →
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Generic LLM
Llama-3.1-8B-InstructQuant not reportedModel ref. ↗Relative performance
1.79 x vs RTX 4500 BlackwellRelative performance per dollar · Whole system
——1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Ubuntu 24.04.3 LTS
Engine
Not reported
Backend
ROCm 6.4.2
Harness
Not reported
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
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Generic LLM
Llama-3.1-8B-InstructQuant not reportedModel ref. ↗Conflicting evidenceLoRA trainingDataset not reported512 configured context
~1.28 lossTraining loss · Loss · Mean · Lower is better
——1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Windows 11 / WSL2
Engine
PyTorch
Backend
ROCm 7.2
Harness
PyTorch 2.9.1
Prompt / output
? / ? tokens
Context
512
Concurrency
Not reported
Date
Not reported
Full record →
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Generic LLM
Llama-3.1-8B-InstructQ4_K_MModel ref. ↗Token speed—
853.54 tok/sPrefill · mean · unknown
35.27 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
4096 / 256 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-02-06
Full record →
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Generic LLM
Llama-3.1-8B-InstructQ4_K_MModel ref. ↗Token speed—
819.42 tok/sPrefill · mean · unknown
2.14 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
4096 / 256 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-06-26
Full record →
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Report
Generic LLM
Llama-3.1-8B-InstructQ4_K_MWeights ↗Token speed——
93.34 tok/sGeneration · per request
1 × W7900Single GPU · 48 GB VRAM/GPU
Configuration
Memory
48 GB VRAM/GPU
OS
Ubuntu 24.04.4 LTS
Engine
llama.cpp / llama-cpp-python
Backend
HIP / ROCm 7.2.1
Harness
VTE Python CLI benchmark
Prompt / output
? / 151 tokens
Context
4096
Concurrency
1
Date
2026-07-19
Full record →
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Report
Serving benchmark
Llama-3.1-8B-InstructFP16Model ref. ↗Conflicting evidenceToken speed
102 tok/sThroughput · aggregate
——1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Rocky Linux 10.1
Engine
vLLM
Backend
ROCm
Harness
GenAI-Perf (streaming)
Prompt / output
? / ? tokens
Context
16384
Concurrency
4
Date
2026-09-10
Full record →
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Generic LLM
Llama-3.1-8B-InstructBF16Model ref. ↗Token speed——
64.3 tok/sGeneration · per request
4 × R9700Tensor parallel · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Linux (distribution not reported)
Engine
vLLM
Backend
ROCm 7.2.2 container / 6.4.3 host
Harness
Not reported
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
1
Date
2026-05-22
Full record →
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Generic LLM
Llama-3.1-8B-InstructQ4_K_SWeights ↗Power & energy
52 WPower draw · Whole system
——1 × W7700Single GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Raspberry Pi OS
Engine
llama.cpp
Backend
Vulkan
Harness
Not reported
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
View
Report
Generic LLM
Llama-3.1-8B-InstructQuant not reportedModel ref. ↗Procyon——
87.59 tok/sGeneration · per request
1 × RX 9070Single 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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Report
llama-bench
Llama-3.1-8B-InstructBF16Model ref. ↗Token speed—
11.53 tok/sPrefill · mean · per request
—1 × Ryzen AI Max+ 395Single GPU · Unified memory · 128 GB RAM
Configuration
Memory
Unified memory · 128 GB RAM
OS
Fedora 43
Engine
llama.cpp
Backend
ROCm
Harness
llama-bench
Prompt / output
1 / ? tokens
Context
Not reported
Concurrency
1
Date
2025-12-04
Full record →
Quantizations and software

Quantizations: BF16, FP8, FP16, Q4_K_M, Q4_K_S
Engines: llama.cpp, llama.cpp / llama-cpp-python, llamafile, ONNX Runtime, Procyon AI Text Generation / ONNXRuntime-DirectML, PyTorch, vLLM, VTE

Explore all 106 results →

This is a selection across sources, not a ranking or a matched experiment. Reading benchmark reports

GPU benchmark pages: W7900 · W7700 · R9700 · RX 9070 XT · RX 9070 · RX 9070 GRE · RX 9060 XT · RX 7900 XTX · Ryzen AI Max+ 395