AMD-Pro-BenchCommunity

13,812 benchmarks in 32 GPU combinations documented

gemma-4-26B-A4B-it on AMD GPUs

254 results · 15 sources · 398 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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llm-bench.io
gemma-4-26B-A4B-itQuant not reportedRepository unresolvedllm-bench.io QualityFour sequential scenarios: agent workflow, code generation, role play, research
69.85 / 100LLM judge · Mean
810.64 tok/sPrefill · mean · per request
46.46 tok/sGeneration · mean · per request
GPU count unknownUnknown · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11 Professionnel 25H2
Engine
LM Studio
Backend
Not reported
Harness
llm-benchmark 0.4.59+97
Prompt / output
? / ? tokens
Context
65536
Concurrency
1
Date
2026-09-14
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Custom evaluation
gemma-4-26B-A4B-itQ4_K_MModel ref. ↗Conflicting evidenceHumanEval100 problems
96 %Reported pass@1 · n = 100
—
71.18 tok/sGeneration · mean · per request
2 × W7800Layer split · 48 GB VRAM/GPU
Configuration
Memory
48 GB VRAM/GPU
OS
Ubuntu 24.04 LTS
Engine
Ollama
Backend
ROCm
Harness
BoJl unified evaluation harness (2026-08)
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
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Custom evaluation
gemma-4-26B-A4B-itINT4 AWQ (GPTQ-v2-fixed conversion)Weights ↗MMLU57 subjects · first item per subject1 concurrent request
77.19 %Accuracy · 44 / 57 · Exact-choice parser
——2 × R9700Tensor parallel · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
EndeavourOS (Arch Linux)
Engine
SGLang
Backend
ROCm
Harness
scripts/eval/eval_and_chart.py
Prompt / output
? / ? tokens
Context
4096
Concurrency
1
Date
2026-04-17
Full record →
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Coding session
gemma-4-26B-A4B-itUD-Q4_K_XLModel ref. ↗Partial evaluationSWE-bench Verified MiniVerified Mini: 50 tasks (25 Django + 25 Sphinx)
50 %LLM judge · 25 / 50
52 %Exit-zero rate · 26 / 50 · Container test exit
——1 × R9700Single GPU
Configuration
Memory
Not reported
OS
Not reported
Engine
llama.cpp
Backend
Not reported
Harness
pi-coding-agent / pi-bench
Prompt / output
? / ? tokens
Context
Not reported
Concurrency
Not reported
Date
2026-06-06
Full record →
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Custom evaluation
gemma-4-26B-A4B-itFP8Weights ↗GSM8KFull1319questions;5shot8K configured context
95.83 %Accuracy · n = 100 · Original GSM8K tagged answer extraction and strict string comparison
——1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Not reported
Engine
vLLM
Backend
ROCm / HIP
Harness
vLLM GSM8K with original tagged-answer matcher
Prompt / output
? / ? tokens
Context
8192
Concurrency
Not reported
Date
Not reported
Full record →
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LocalMaxxing
gemma-4-26B-A4B-itQ8_0Model ref. ↗Token speed—
1,995.1 tok/sPrefill · unknown
91.26 tok/sGeneration · unknown
2 × RX 7900 XTXLayer split · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Arch Linux
Engine
llama.cpp
Backend
Not reported
Harness
LocalMaxxing community speed test; exact client where reported
Prompt / output
538 / 256 tokens
Context
8192
Concurrency
Not reported
Date
2026-09-15
Full record →
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Generic LLM
gemma-4-26B-A4B-itUD-Q6_KWeights ↗Token speed—
80.7 tok/sPrefill · per request
17.3 tok/sGeneration · per request
GPU count unknownUnknown · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Not reported
Engine
llama.cpp
Backend
Not reported
Harness
llama.cpp smoke prompt
Prompt / output
? / ? tokens
Context
32768
Concurrency
1
Date
2026-05-02
Full record →
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LocalMaxxing
gemma-4-26B-A4B-itQ8_0Model ref. ↗Token speed—
1,831.96 tok/sPrefill · unknown
77.32 tok/sGeneration · peak · unknown
3 × R9700Multi-GPU · split unknown · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Arch Linux
Engine
llama.cpp
Backend
vulkan
Harness
LocalMaxxing community speed test; exact client where reported
Prompt / output
538 / 256 tokens
Context
794
Concurrency
Not reported
Date
2026-06-27
Full record →
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LocalMaxxing
gemma-4-26B-A4B-itQ8_0Model ref. ↗Token speed—
721.53 tok/sPrefill · median · unknown
45.08 tok/sGeneration · median · unknown
1 × Ryzen AI Max+ 395Single GPU · Unified memory
Configuration
Memory
Unified memory
OS
Not reported
Engine
llama.cpp
Backend
vulkan
Harness
LocalMaxxing community speed test; exact client where reported
Prompt / output
538 / 256 tokens
Context
794
Concurrency
Not reported
Date
2026-07-11
Full record →
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Generic LLM
gemma-4-26B-A4B-itBF16Model ref. ↗Token speed
24.2 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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llama-bench
gemma-4-26B-A4B-itBF16Model ref. ↗Token speed512 input tokens · 0 output tokens · 0 existing KV tokens—
909.04 tok/sPrefill · mean · per request
—1 × Ryzen AI Max+ 395Single GPU · Unified memory
Configuration
Memory
Unified memory
OS
Fedora Linux 43 (Workstation Edition)
Engine
llama.cpp
Backend
ROCm / rocm-7_2_3
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
2026-05-16
Full record →
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llama-bench
gemma-4-26B-A4B-itQ4_0Model ref. ↗Token speed—
3,868 tok/sPrefill · per request
—1 × RX 9070Single GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11
Engine
llama.cpp
Backend
Vulkan
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-09-06
Full record →
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llama-bench
gemma-4-26B-A4B-itUD-Q4_K_XLModel ref. ↗Token speed2,048 input tokens · 16,384 existing KV tokens—
2,147.45 tok/sPrefill · mean · per request
—1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Fedora 42 — Linux 6.15.9-201.fc42.x86_64 (Sat Aug 2 11:37:34 UTC 2025)
Engine
llama.cpp
Backend
rocm6_4_4
Harness
llama-bench
Prompt / output
2048 / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
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llama-bench
gemma-4-26B-A4B-itUD-Q5_K_MModel ref. ↗Token speed—
3,079.41 tok/sPrefill · mean · per request
—1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Ubuntu 26.04 LTS
Engine
llama.cpp
Backend
ROCm / HIP
Harness
llama-bench
Prompt / output
512 / 0 tokens
Context
Not reported
Concurrency
1
Date
Not reported
Full record →
View
Report
llama-bench
gemma-4-26B-A4B-itQ4_K_MModel ref. ↗Token speed—
3,427.14 tok/sPrefill · mean · per request
—1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Linux (inferred from documented test rigs) (inferred)
Engine
llama.cpp
Backend
ROCm 7.2.3
Harness
llama-bench
Prompt / output
1024 / ? tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
View
Report
Custom evaluation
gemma-4-26B-A4B-itQ4_K_MModel ref. ↗Conflicting evidenceToken speedsynth-bulk-dispatcher-impl——
69.9 tok/sGeneration · mean · per request
2 × W7800Layer split · 48 GB VRAM/GPU
Configuration
Memory
48 GB VRAM/GPU
OS
Ubuntu 24.04 LTS
Engine
Ollama
Backend
ROCm
Harness
BoJl unified evaluation harness (2026-08)
Prompt / output
? / 3371 tokens
Context
Not reported
Concurrency
Not reported
Date
Not reported
Full record →
View
Report
Custom evaluation
gemma-4-26B-A4B-itFP8Weights ↗GSM8KFull1319questions;5shot8K configured context
95.91 %Accuracy · n = 100 · Original GSM8K tagged answer extraction and strict string comparison
——1 × R9700Single GPU · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Not reported
Engine
vLLM
Backend
ROCm / HIP
Harness
vLLM GSM8K with original tagged-answer matcher
Prompt / output
? / ? tokens
Context
8192
Concurrency
Not reported
Date
Not reported
Full record →
View
Report
LocalMaxxing
gemma-4-26B-A4B-itQ8_0Model ref. ↗Token speed—
1,823.93 tok/sPrefill · unknown
107.99 tok/sGeneration · unknown
2 × RX 7900 XTXLayer split · 24 GB VRAM/GPU
Configuration
Memory
24 GB VRAM/GPU
OS
Arch Linux
Engine
llama.cpp
Backend
Not reported
Harness
LocalMaxxing community speed test; exact client where reported
Prompt / output
538 / 256 tokens
Context
8192
Concurrency
Not reported
Date
2026-09-15
Full record →
View
Report
Generic LLM
gemma-4-26B-A4B-itUD-Q4_K_MWeights ↗Token speed—
61.3 tok/sPrefill · per request
31 tok/sGeneration · per request
GPU count unknownUnknown · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Not reported
Engine
llama.cpp
Backend
Not reported
Harness
llama.cpp smoke prompt
Prompt / output
? / ? tokens
Context
16384
Concurrency
1
Date
2026-05-02
Full record →
View
Report
LocalMaxxing
gemma-4-26B-A4B-itQ8_0Model ref. ↗Token speed—
1,552.32 tok/sPrefill · unknown
73.7 tok/sGeneration · peak · unknown
3 × R9700Multi-GPU · split unknown · 32 GB VRAM/GPU
Configuration
Memory
32 GB VRAM/GPU
OS
Arch Linux
Engine
llama.cpp
Backend
vulkan
Harness
LocalMaxxing community speed test; exact client where reported
Prompt / output
538 / 256 tokens
Context
794
Concurrency
Not reported
Date
2026-08-04
Full record →
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Report
LocalMaxxing
gemma-4-26B-A4B-itUD-Q4_K_MModel ref. ↗Token speed——
51.22 tok/sGeneration · unknown
1 × Ryzen AI Max+ 395Single GPU · Unified memory
Configuration
Memory
Unified memory
OS
Linux
Engine
llama.cpp
Backend
rocm
Harness
LocalMaxxing community speed test; exact client where reported
Prompt / output
53 / 1024 tokens
Context
131072
Concurrency
Not reported
Date
2026-05-01
Full record →
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Report
Generic LLM
gemma-4-26B-A4B-itBF16Model ref. ↗Token speed——
26 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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Report
llama-bench
gemma-4-26B-A4B-itBF16Model ref. ↗Token speed0 input tokens · 128 output tokens · 0 existing KV tokens——
24.64 tok/sGeneration · mean · per request
1 × Ryzen AI Max+ 395Single GPU · Unified memory
Configuration
Memory
Unified memory
OS
Fedora Linux 43 (Workstation Edition)
Engine
llama.cpp
Backend
ROCm / rocm-7_2_3
Harness
llama-bench
Prompt / output
0 / 128 tokens
Context
Not reported
Concurrency
1
Date
2026-05-16
Full record →
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Report
llama-bench
gemma-4-26B-A4B-itQ4_0Model ref. ↗Token speed——
157.2 tok/sGeneration · per request
1 × RX 9070Single GPU · 16 GB VRAM/GPU
Configuration
Memory
16 GB VRAM/GPU
OS
Windows 11
Engine
llama.cpp
Backend
Vulkan
Harness
llama-bench
Prompt / output
0 / 128 tokens
Context
Not reported
Concurrency
Not reported
Date
2026-09-06
Full record →
Quantizations and software

Quantizations: BF16, FP8, INT4 AWQ (GPTQ-v2-fixed conversion), MXFP4_MOE, Q4_0, Q4_K_M, Q4_K_XL, Q8_0, Q8_K_XL, UD-Q4_K_M, UD-Q4_K_XL, UD-Q5_K_M, UD-Q6_K
Engines: llama.cpp, LM Studio, Ollama, SGLang, vLLM

Explore all 254 results →

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

GPU benchmark pages: W7800 · R9700 · RX 9070 · RX 7900 XTX · RX 7900 GRE · RX 7600 XT · Ryzen AI Max+ 395