Debian GNU/Linux 12 Performance

Various open-source benchmarks by the Phoronix Test Suite v10.8.5.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2410136-NE-DEBIANGNU60
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
2 x Intel Xeon Gold 6144
October 13
  7 Minutes
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Debian GNU/Linux 12 PerformanceOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Gold 6144 @ 4.20GHz (16 Cores / 32 Threads)Dell PowerEdge R640 0W23H8 (2.21.2 BIOS)Intel Sky Lake-E DMI3 Registers4 x 32 GB DDR4-2666MT/s 36ASF4G72PZ-2G6D1480GB SAMSUNG MZ7KM480 + 2 x 1920GB Micron_5400_MTFDMatrox G200eW34 x Intel X550 + 4 x Intel I350Debian GNU/Linux 126.8.12-2-pve (x86_64)ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelFile-SystemScreen ResolutionDebian GNU/Linux 12 Performance BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x2007108- gather_data_sampling: Mitigation of Microcode + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + reg_file_data_sampling: Not affected + retbleed: Mitigation of IBRS + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of IBRS; IBPB: conditional; STIBP: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Debian GNU/Linux 12 PerformanceIdle Power Usage (Avg)tensorflow-lite: Mobilenet Floaty-cruncher: 500Mnamd: ATPase Simulation - 327,506 Atoms2 x Intel Xeon Gold 6144205.002077.2613.3581.07744OpenBenchmarking.org

Timed Idle

This test will just idle the system for the specified amount of time. This test is of benefit if paired with the system_monitor module to monitor the system sensors, battery consumption, etc while the system is idling. This also can be used just as a simple test profile to understand how the Phoronix Test Suite works. Learn more via the OpenBenchmarking.org test page.

2 x Intel Xeon Gold 6144: The test run did not produce a result.

Serial Loopback Test

This test will do a simple write/read test on all detected serial interfaces. For this test to work, the relevant serial ports should have a serial loopback plug or have otherwise wired the appropriate pins. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSerial Loopback Test/dev/ttyS0, /dev/ttyS1FAILFAIL/dev/ttyS1/dev/ttyS02 x Intel Xeon Gold 6144

Idle Power Usage

Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmicroAmpsIdle Power UsageSystem Current2 x Intel Xeon Gold 61444080120160200205

Geekbench

This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.

Test: CPU Single Core

2 x Intel Xeon Gold 6144: The test run did not produce a result.

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet Float2 x Intel Xeon Gold 6144400800120016002000SE +/- 15.32, N = 32077.26

Y-Cruncher

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.5Pi Digits To Calculate: 500M2 x Intel Xeon Gold 61443691215SE +/- 0.01, N = 313.36

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms2 x Intel Xeon Gold 61440.24240.48480.72720.96961.212SE +/- 0.00260, N = 31.07744