5.14.5 + Debian 10 Tests
Various open-source benchmarks by the Phoronix Test Suite v10.6.1.
2021-11-17 20:27
Processor: Intel Core i5-7440HQ @ 3.80GHz (4 Cores), Motherboard: Dell 00YYJC (1.19.2 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 16GB, Disk: Toshiba KXG50ZNV256G NVMe 256GB + 500GB Seagate ST500LM021-1KJ15, Graphics: Intel HD 630 3GB (1000MHz), Audio: Realtek Generic, Network: Intel I219-LM + Intel 8265 / 8275
OS: Debian 10, Kernel: 5.14.5 (x86_64), Desktop: KDE Plasma 5.14.5, Display Server: X Server 1.20.4, OpenGL: 4.5 Mesa 18.3.6, Compiler: GCC 8.3.0 + Clang 7.0.1-8+deb10u2, File-System: ext4, Screen Resolution: 1920x1080
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xea
Python Notes: Python 2.7.16 + Python 3.7.3
Security Notes: itlb_multihit: vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled
TensorFlow Lite
This is a benchmark of the TensorFlow Lite implementation. 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.
Numenta Anomaly Benchmark
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 timeseries 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.
AI Benchmark Alpha
AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
2021-11-17 20:27: ModuleNotFoundError: No module named 'tensorflow'
Unpacking Firefox
This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.
2021-11-17 20:27
Processor: Intel Core i5-7440HQ @ 3.80GHz (4 Cores), Motherboard: Dell 00YYJC (1.19.2 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 16GB, Disk: Toshiba KXG50ZNV256G NVMe 256GB + 500GB Seagate ST500LM021-1KJ15, Graphics: Intel HD 630 3GB (1000MHz), Audio: Realtek Generic, Network: Intel I219-LM + Intel 8265 / 8275
OS: Debian 10, Kernel: 5.14.5 (x86_64), Desktop: KDE Plasma 5.14.5, Display Server: X Server 1.20.4, OpenGL: 4.5 Mesa 18.3.6, Compiler: GCC 8.3.0 + Clang 7.0.1-8+deb10u2, File-System: ext4, Screen Resolution: 1920x1080
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xea
Python Notes: Python 2.7.16 + Python 3.7.3
Security Notes: itlb_multihit: vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 17 November 2021 20:27 by user etud.