2 x Intel Xeon Gold 6254 Performance

Various open-source benchmarks by the Phoronix Test Suite v5.2.1 (Khanino).

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
NVIDIA Quadro RTX 6000
January 31 2020
 
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2 x Intel Xeon Gold 6254 PerformanceOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Gold 6254 @ 4.00GHz (72 Cores)Dell 060K5CIntel Sky Lake-E DMI3 Registers773120MB4 x 2048GB MR9460-16iNVIDIA Quadro RTX 6000 24576MB (300/405MHz)Realtek ALC3234Intel ConnectionUbuntu 18.044.15.0-1067-oem (x86_64)GNOME Shell 3.28.4NVIDIA 435.214.6.0ext43440x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay DriverOpenGLFile-SystemScreen Resolution2 X Intel Xeon Gold 6254 Performance BenchmarksSystem Logs- CFQ / data=ordered,errors=remount-ro,relatime,rw,stripe=64- Scaling Governor: intel_pstate powersave- Disk Scheduler: CFQ. Python 2.7.17.

2 x Intel Xeon Gold 6254 Performancecompilebench: Read Compiled Treenetwork-loopback: Time To Transfer 10GB Via Loopbackdeepspeech: CPUsystem-libxml2: 112 MBNVIDIA Quadro RTX 60002526.7211.25173.6063485OpenBenchmarking.org

Compile Bench

Compilebench tries to age a filesystem by simulating some of the disk IO common in creating, compiling, patching, stating and reading kernel trees. It indirectly measures how well filesystems can maintain directory locality as the disk fills up and directories age. This current test is setup to use the makej mode with 10 initial directories Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled TreeNVIDIA Quadro RTX 60005001000150020002500SE +/- 49.73, N = 62526.72

Loopback TCP Network Performance

This test measures the loopback network adapter performance using a micro-benchmark to measure the TCP performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLoopback TCP Network PerformanceTime To Transfer 10GB Via LoopbackNVIDIA Quadro RTX 60003691215SE +/- 0.03, N = 311.25

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUNVIDIA Quadro RTX 60004080120160200SE +/- 4.73, N = 6173.60

System Libxml2 Parsing

This test measures the time to parse a random XML file with libxml2 via xmllint using the streaming API. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSystem Libxml2 ParsingFilesize: 112 MBNVIDIA Quadro RTX 600014K28K42K56K70KSE +/- 49.36, N = 363485