resultgangutlx

AMD Ryzen 5 5600G testing with a Gigabyte B450M DS3H-CF (F63c BIOS) and NVIDIA RTX A4000 16GB on Ubuntu 24.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2408150-NE-RESULTGAN97
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte
August 15
  1 Hour, 18 Minutes
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AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte

Processor: AMD Ryzen 5 5600G @ 4.46GHz (6 Cores / 12 Threads), Motherboard: Gigabyte B450M DS3H-CF (F63c BIOS), Chipset: AMD Renoir/Cezanne, Memory: 24GB, Disk: Patriot M.2 P300 512GB + 1024GB ADATA SX6000LNP + 2048GB XPG GAMMIX S11 Pro, Graphics: NVIDIA RTX A4000 16GB, Audio: NVIDIA GA104 HD Audio, Monitor: DP1 + LG ULTRAWIDE, Network: Realtek RTL8111/8168/8211/8411

OS: Ubuntu 24.04, Kernel: 6.8.0-39-generic (x86_64), Desktop: Xfce 4.18, Display Server: X Server 1.21.1.11, Display Driver: NVIDIA 560.28.03, OpenGL: 4.6.0, Compiler: GCC 13.2.0 + CUDA 12.6, File-System: ext4, Screen Resolution: 6000x1440

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: performance) - CPU Microcode: 0xa50000d
Python Notes: Python 3.11.9
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

resultgangutlxOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 5600G @ 4.46GHz (6 Cores / 12 Threads)Gigabyte B450M DS3H-CF (F63c BIOS)AMD Renoir/Cezanne24GBPatriot M.2 P300 512GB + 1024GB ADATA SX6000LNP + 2048GB XPG GAMMIX S11 ProNVIDIA RTX A4000 16GBNVIDIA GA104 HD AudioDP1 + LG ULTRAWIDERealtek RTL8111/8168/8211/8411Ubuntu 24.046.8.0-39-generic (x86_64)Xfce 4.18X Server 1.21.1.11NVIDIA 560.28.034.6.0GCC 13.2.0 + CUDA 12.6ext46000x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionResultgangutlx BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: amd-pstate-epp powersave (EPP: performance) - CPU Microcode: 0xa50000d- Python 3.11.9- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

resultgangutlxpytorch: CPU - 1 - ResNet-50pytorch: CPU - 16 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 64 - ResNet-50pytorch: CPU - 256 - ResNet-50pytorch: CPU - 512 - ResNet-50pytorch: NVIDIA CUDA GPU - 1 - ResNet-50pytorch: NVIDIA CUDA GPU - 16 - ResNet-50pytorch: NVIDIA CUDA GPU - 32 - ResNet-50pytorch: NVIDIA CUDA GPU - 64 - ResNet-50pytorch: NVIDIA CUDA GPU - 256 - ResNet-50pytorch: NVIDIA CUDA GPU - 512 - ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte24.7313.7413.9414.7413.6515.06183.79183.04179.99184.99179.98168.86OpenBenchmarking.org

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte612182430SE +/- 0.30, N = 1524.73MIN: 12.22 / MAX: 27.64

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte48121620SE +/- 0.10, N = 313.74MIN: 8.28 / MAX: 15.45

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte48121620SE +/- 0.19, N = 313.94MIN: 8.75 / MAX: 15.84

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte48121620SE +/- 0.05, N = 314.74MIN: 10.23 / MAX: 15.94

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte48121620SE +/- 0.38, N = 913.65MIN: 6.72 / MAX: 16.12

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte48121620SE +/- 0.15, N = 615.06MIN: 10.56 / MAX: 16.28

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte4080120160200SE +/- 1.39, N = 15183.79MIN: 102.44 / MAX: 201.24

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte4080120160200SE +/- 0.62, N = 3183.04MIN: 112.5 / MAX: 194.99

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte4080120160200SE +/- 1.45, N = 15179.99MIN: 111.38 / MAX: 197.56

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte4080120160200SE +/- 1.02, N = 3184.99MIN: 128.27 / MAX: 196.82

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte4080120160200SE +/- 1.62, N = 7179.98MIN: 114.76 / MAX: 195.5

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte4080120160200SE +/- 2.55, N = 12168.86MIN: 83.82 / MAX: 196.57

AMD Ryzen 5 5600G - NVIDIA RTX A4000 16GB - Gigabyte

Processor: AMD Ryzen 5 5600G @ 4.46GHz (6 Cores / 12 Threads), Motherboard: Gigabyte B450M DS3H-CF (F63c BIOS), Chipset: AMD Renoir/Cezanne, Memory: 24GB, Disk: Patriot M.2 P300 512GB + 1024GB ADATA SX6000LNP + 2048GB XPG GAMMIX S11 Pro, Graphics: NVIDIA RTX A4000 16GB, Audio: NVIDIA GA104 HD Audio, Monitor: DP1 + LG ULTRAWIDE, Network: Realtek RTL8111/8168/8211/8411

OS: Ubuntu 24.04, Kernel: 6.8.0-39-generic (x86_64), Desktop: Xfce 4.18, Display Server: X Server 1.21.1.11, Display Driver: NVIDIA 560.28.03, OpenGL: 4.6.0, Compiler: GCC 13.2.0 + CUDA 12.6, File-System: ext4, Screen Resolution: 6000x1440

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: performance) - CPU Microcode: 0xa50000d
Python Notes: Python 3.11.9
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 15 August 2024 17:00 by user az.