Benchmarks for a future article.
Kernel Notes: Transparent Huge Pages: always
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf4
Python Notes: Python 3.10.9
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected
Processor: Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0002A026 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 256GB TS256GMTS800 + 15GB Ultra USB 3.0, Graphics: Intel UHD 630 CML GT2 31GB, Audio: Realtek ALC233, Monitor: DELL P2415Q, Network: Intel I219-LM + Intel I210
OS: openSUSE 20230303, Kernel: 6.2.1-1-default (x86_64), Desktop: KDE Plasma 5.27.2, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 23.0.0, Compiler: GCC 12.2.1 20230124 [revision 193f7e62815b4089dfaed4c2bd34fd4f10209e27], File-System: btrfs, Screen Resolution: 1920x1080
Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
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.
Kernel Notes: Transparent Huge Pages: always
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf4
Python Notes: Python 3.10.9
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected
Testing initiated at 5 March 2023 13:30 by user .
Processor: Intel Core i7-10700T @ 4.50GHz (8 Cores / 16 Threads), Motherboard: Logic Supply RXM-181 (Z01-0002A026 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 256GB TS256GMTS800 + 15GB Ultra USB 3.0, Graphics: Intel UHD 630 CML GT2 31GB, Audio: Realtek ALC233, Monitor: DELL P2415Q, Network: Intel I219-LM + Intel I210
OS: openSUSE 20230303, Kernel: 6.2.1-1-default (x86_64), Desktop: KDE Plasma 5.27.2, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 23.0.0, Compiler: GCC 12.2.1 20230124 [revision 193f7e62815b4089dfaed4c2bd34fd4f10209e27], File-System: btrfs, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: always
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf4
Python Notes: Python 3.10.9
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected
Testing initiated at 5 March 2023 16:44 by user .