res4

AMD Ryzen 9 5900X 12-Core testing with a ASRock X570 Steel Legend (P5.63 BIOS) and MSI NVIDIA GeForce RTX 3080 12GB on Ubuntu 22.04 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 2412139-NE-RES40086214
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  Test
  Duration
AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX
December 13
  3 Hours, 4 Minutes
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AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX

Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASRock X570 Steel Legend (P5.63 BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16GB DDR4-3600MT/s TEAMGROUP-UD4-3200, Disk: 1000GB Western Digital WDS100T3X0C-00SJG0 + 1000GB Western Digital WD Blue SN580 1TB + 2000GB Seagate ST2000DX001-1CM1, Graphics: MSI NVIDIA GeForce RTX 3080 12GB, Audio: NVIDIA GA102 HD Audio, Monitor: DELL S2721QS, Network: Intel I211 + Intel Dual Band-AC 3168NGW

OS: Ubuntu 22.04, Kernel: 6.8.0-49-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 560.35.05, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.6.65, Compiler: GCC 11.4.0 + CUDA 12.6, File-System: ext4, Screen Resolution: 5120x2880

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa20102b
Python Notes: Python 3.10.12
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: Mitigation of Safe RET + 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

res4OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASRock X570 Steel Legend (P5.63 BIOS)AMD Starship/Matisse2 x 16GB DDR4-3600MT/s TEAMGROUP-UD4-32001000GB Western Digital WDS100T3X0C-00SJG0 + 1000GB Western Digital WD Blue SN580 1TB + 2000GB Seagate ST2000DX001-1CM1MSI NVIDIA GeForce RTX 3080 12GBNVIDIA GA102 HD AudioDELL S2721QSIntel I211 + Intel Dual Band-AC 3168NGWUbuntu 22.046.8.0-49-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.4NVIDIA 560.35.054.6.0OpenCL 3.0 CUDA 12.6.65GCC 11.4.0 + CUDA 12.6ext45120x2880ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionRes4 BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa20102b- Python 3.10.12- 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: Mitigation of Safe RET + 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

res4pytorch: NVIDIA CUDA GPU - 512 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 256 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 64 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 32 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 16 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 1 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 512 - ResNet-152pytorch: NVIDIA CUDA GPU - 256 - ResNet-152pytorch: NVIDIA CUDA GPU - 64 - ResNet-152pytorch: NVIDIA CUDA GPU - 512 - ResNet-50pytorch: NVIDIA CUDA GPU - 32 - ResNet-152pytorch: NVIDIA CUDA GPU - 256 - ResNet-50pytorch: NVIDIA CUDA GPU - 16 - ResNet-152pytorch: NVIDIA CUDA GPU - 64 - ResNet-50pytorch: NVIDIA CUDA GPU - 32 - ResNet-50pytorch: NVIDIA CUDA GPU - 16 - ResNet-50pytorch: NVIDIA CUDA GPU - 1 - ResNet-152pytorch: NVIDIA CUDA GPU - 1 - ResNet-50pytorch: CPU - 512 - Efficientnet_v2_lpytorch: CPU - 256 - Efficientnet_v2_lpytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 1 - Efficientnet_v2_lpytorch: CPU - 512 - ResNet-152pytorch: CPU - 256 - ResNet-152pytorch: CPU - 64 - ResNet-152pytorch: CPU - 512 - ResNet-50pytorch: CPU - 32 - ResNet-152pytorch: CPU - 256 - ResNet-50pytorch: CPU - 16 - ResNet-152pytorch: CPU - 64 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 16 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 1 - ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX38.4838.8938.6938.7738.6839.3175.0975.9077.23215.4674.87216.5674.74215.27214.52216.9074.95214.067.477.467.477.427.4410.7512.4812.5412.6731.2912.5431.2912.5931.5030.8931.3416.6243.00OpenBenchmarking.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: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX918273645SE +/- 0.17, N = 338.48MIN: 35.86 / MAX: 39.27

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX918273645SE +/- 0.19, N = 338.89MIN: 35.84 / MAX: 39.35

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX918273645SE +/- 0.20, N = 338.69MIN: 35.76 / MAX: 39.49

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX918273645SE +/- 0.39, N = 538.77MIN: 36.02 / MAX: 39.78

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX918273645SE +/- 0.27, N = 1538.68MIN: 34.84 / MAX: 41.43

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX918273645SE +/- 0.10, N = 339.31MIN: 36.39 / MAX: 39.7

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX20406080100SE +/- 0.61, N = 375.09MIN: 69.51 / MAX: 76.61

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX20406080100SE +/- 0.57, N = 375.90MIN: 69.34 / MAX: 77.48

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX20406080100SE +/- 0.33, N = 377.23MIN: 70.71 / MAX: 78.87

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX50100150200250SE +/- 2.58, N = 4215.46MIN: 200.19 / MAX: 224.64

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX20406080100SE +/- 0.25, N = 374.87MIN: 69.21 / MAX: 75.96

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX50100150200250SE +/- 3.02, N = 3216.56MIN: 196.66 / MAX: 221.76

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX20406080100SE +/- 0.75, N = 374.74MIN: 70.11 / MAX: 78.16

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX50100150200250SE +/- 1.54, N = 12215.27MIN: 193.15 / MAX: 224.79

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX50100150200250SE +/- 2.51, N = 4214.52MIN: 201.54 / MAX: 223.62

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX50100150200250SE +/- 2.43, N = 3216.90MIN: 162.31 / MAX: 223.42

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX20406080100SE +/- 0.54, N = 1574.95MIN: 68.83 / MAX: 79.29

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX50100150200250SE +/- 2.68, N = 3214.06MIN: 189.9 / MAX: 220.75

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX246810SE +/- 0.06, N = 37.47MIN: 7.34 / MAX: 7.62

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX246810SE +/- 0.01, N = 37.46MIN: 7.34 / MAX: 7.53

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX246810SE +/- 0.06, N = 37.47MIN: 7.17 / MAX: 7.65

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX246810SE +/- 0.02, N = 37.42MIN: 7.33 / MAX: 7.51

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX246810SE +/- 0.00, N = 37.44MIN: 7.32 / MAX: 7.51

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lAMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX3691215SE +/- 0.01, N = 310.75MIN: 10.61 / MAX: 10.83

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX3691215SE +/- 0.04, N = 312.48MIN: 11.94 / MAX: 12.66

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX3691215SE +/- 0.03, N = 312.54MIN: 11.57 / MAX: 12.69

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX3691215SE +/- 0.12, N = 312.67MIN: 12.32 / MAX: 12.98

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX714212835SE +/- 0.26, N = 331.29MIN: 29.95 / MAX: 31.91

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX3691215SE +/- 0.03, N = 312.54MIN: 12.07 / MAX: 12.69

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX714212835SE +/- 0.10, N = 331.29MIN: 29.83 / MAX: 31.97

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX3691215SE +/- 0.03, N = 312.59MIN: 11.67 / MAX: 12.74

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX714212835SE +/- 0.17, N = 331.50MIN: 28.43 / MAX: 32.09

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX714212835SE +/- 0.28, N = 630.89MIN: 28.53 / MAX: 31.81

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX714212835SE +/- 0.16, N = 331.34MIN: 30.35 / MAX: 31.89

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-152AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX48121620SE +/- 0.09, N = 316.62MIN: 15.98 / MAX: 16.91

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-50AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX1020304050SE +/- 0.03, N = 343.00MIN: 38.05 / MAX: 43.7

AMD Ryzen 9 5900X 12-Core - MSI NVIDIA GeForce RTX

Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASRock X570 Steel Legend (P5.63 BIOS), Chipset: AMD Starship/Matisse, Memory: 2 x 16GB DDR4-3600MT/s TEAMGROUP-UD4-3200, Disk: 1000GB Western Digital WDS100T3X0C-00SJG0 + 1000GB Western Digital WD Blue SN580 1TB + 2000GB Seagate ST2000DX001-1CM1, Graphics: MSI NVIDIA GeForce RTX 3080 12GB, Audio: NVIDIA GA102 HD Audio, Monitor: DELL S2721QS, Network: Intel I211 + Intel Dual Band-AC 3168NGW

OS: Ubuntu 22.04, Kernel: 6.8.0-49-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 560.35.05, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.6.65, Compiler: GCC 11.4.0 + CUDA 12.6, File-System: ext4, Screen Resolution: 5120x2880

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa20102b
Python Notes: Python 3.10.12
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: Mitigation of Safe RET + 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 13 December 2024 10:45 by user cerx.