Multi-architecture Docker image for running sysbench benchmarks. Perfect for testing CPU, memory, and I/O performance across different platforms.

• linux/amd64 (x86_64) - Intel/AMD 64-bit
• linux/386 (i386) - Intel/AMD 32-bit
• linux/arm64 (aarch64) - ARM 64-bit
• linux/arm/v7 (armv7) - ARM 32-bit v7
• linux/arm/v6 (armv6) - ARM 32-bit v6
• linux/riscv64 - RISC-V 64-bit

Run a CPU benchmark with default settings (20,000 prime numbers):

docker run --rm pingwinator/sysbench:latest

Default test (20k prime):

docker run --rm pingwinator/sysbench:latest

Custom prime limit:

docker run --rm --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  cpu --cpu-max-prime=50000 run

Multi-threaded test:

docker run --rm --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  cpu --threads=4 --cpu-max-prime=20000 run

Longer test duration:

docker run --rm --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  cpu --time=60 --cpu-max-prime=20000 run

docker run --rm --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  memory --memory-total-size=10G run

Sequential memory access:

docker run --rm --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  memory --memory-access-mode=seq --memory-total-size=10G run

Prepare test files:

docker run --rm -v $(pwd)/testfiles:/testfiles \
  --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  fileio --file-total-size=2G --file-test-mode=rndrw prepare

Run random read/write test:

docker run --rm -v $(pwd)/testfiles:/testfiles \
  --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  fileio --file-total-size=2G --file-test-mode=rndrw run

Cleanup:

docker run --rm -v $(pwd)/testfiles:/testfiles \
  --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  fileio --file-total-size=2G cleanup

docker run --rm --entrypoint /usr/bin/sysbench pingwinator/sysbench:latest \
  threads --threads=64 run

name: Performance Test
on: [push]
jobs:
  benchmark:
    runs-on: ubuntu-latest
    steps:
      - name: Run CPU Benchmark
        run: docker run --rm pingwinator/sysbench:latest

benchmark:
  stage: test
  image: docker:latest
  services:
    - docker:dind
  script:
    - docker run --rm pingwinator/sysbench:latest

The default CPU test outputs performance metrics including:

• Events per second - Primary performance metric
• Total time - Test duration
• Total events - Number of operations completed
• Latency statistics - Min, avg, max, and 95th percentile
• Thread fairness - Distribution across threads

Example output:

sysbench 1.0.20 (using system LuaJIT 2.1.1723681758)

Running the test with following options:
Number of threads: 1

CPU speed:
    events per second:  1651.90

General statistics:
    total time:                          10.0003s
    total number of events:              16521

Latency (ms):
         min:                                    0.60
         avg:                                    0.61
         max:                                    2.51
         95th percentile:                        0.61

• Docker Hub: docker pull pingwinator/sysbench:latest
• GitHub Container Registry: docker pull ghcr.io/pingwinator/sysbench:latest

# Single architecture
docker build -t sysbench .

# Multi-architecture (requires buildx)
docker buildx build --platform linux/amd64,linux/arm64,linux/riscv64,linux/arm/v7,linux/arm/v6,linux/386 \
  -t pingwinator/sysbench:latest .

This image has been extensively tested on 20+ different systems across 6 architectures.

• Single-Thread Champion: Apple M1 is the king of single-threaded performance with 4,046 events/sec, outperforming the Intel i5-13600 by 2.46x.
• Multi-Thread Champion: The Intel i5-13600 dominates multi-threaded workloads with 18,113 events/sec, leveraging its 20-core hybrid architecture.
• Best Scaling Efficiency: Simpler, homogeneous architectures (like the Intel Pentium N6005, Core i3-8100T, and SiFive U74) achieve near-perfect 99% scaling efficiency.
• ARM vs x86: Modern ARM SoCs like the Apple M1, Rockchip RK3588S, and Raspberry Pi 5 are highly competitive and often outperform budget x86 CPUs.
• 32-bit Performance: A significant performance penalty exists in 32-bit mode on modern CPUs. The AMD Ryzen R1505G is a standout, showing 0% performance loss.
• Virtualization & Emulation: Apple's Rosetta 2 is remarkably efficient (-27% loss), while WSL2 shows catastrophic memory performance degradation (-88%).

📊 Full benchmark results: See BENCHMARK_RESULTS.md for top performers, or visit the 📊 Wiki for detailed performance analysis, comparison charts, and platform-specific insights.

Tested with Docker, Podman, and Apple Container on various platforms:

• ✅ Docker: Desktop systems, NAS devices (Synology, QNAP), thin clients, macOS
• ✅ Podman: Raspberry Pi systems, Orange Pi 5
• ✅ Apple Container: macOS 15+ with native ARM64 and Rosetta 2 support

This Docker image packages sysbench, which is licensed under GPL-2.0.

• Sysbench GitHub Repository
• Sysbench Documentation
• Benchmark Results Summary
• Complete Benchmark Results (Wiki)