/home/hsmannheim/Dokumente/TF_2019_04_26

Intel Core i9-9900K testing with a Gigabyte Z390 AORUS PRO WIFI-CF (F8 BIOS) and Zotac NVIDIA GeForce RTX 2080 Ti 11GB on Ubuntu 18.04 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 1903269-SP-HOMEHSMAN23
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
First TF Test
March 26 2019
  10 Minutes

First TF Test

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Gigabyte Z390 AORUS PRO WIFI-CF (F8 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 64512MB, Disk: 8002GB Seagate ST8000VN0022-2EL + 1000GB Samsung SSD 860, Graphics: Zotac NVIDIA GeForce RTX 2080 Ti 11GB (420/405MHz), Audio: Realtek ALC1220, Monitor: HP L1940T, Network: Intel I219-V + Intel-AC 9560

OS: Ubuntu 18.04, Kernel: 4.18.0-16-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.20.1, Display Driver: NVIDIA 410.104, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1280x1024

Processor Notes: Scaling Governor: intel_pstate powersave
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP + SSB disabled via prctl and seccomp

/home/hsmannheim/Dokumente/TF_2019_04_26OpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)Gigabyte Z390 AORUS PRO WIFI-CF (F8 BIOS)Intel Cannon Lake PCH Shared SRAM64512MB8002GB Seagate ST8000VN0022-2EL + 1000GB Samsung SSD 860Zotac NVIDIA GeForce RTX 2080 Ti 11GB (420/405MHz)Realtek ALC1220HP L1940TIntel I219-V + Intel-AC 9560Ubuntu 18.044.18.0-16-generic (x86_64)GNOME Shell 3.28.3X Server 1.20.1NVIDIA 410.104GCC 7.3.0 + CUDA 10.0ext41280x1024ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution/home/hsmannheim/Dokumente/TF_2019_04_26 BenchmarksSystem Logs- Scaling Governor: intel_pstate powersave- Python 2.7.15rc1 + Python 3.6.7- __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP + SSB disabled via prctl and seccomp

Tensorflow

This is a benchmark of the Tensorflow deep learning framework using the CIFAR10 data set. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTensorflow 2017-02-03Build: Cifar10First TF Test918273645SE +/- 0.73, N = 337.95

First TF Test

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Gigabyte Z390 AORUS PRO WIFI-CF (F8 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 64512MB, Disk: 8002GB Seagate ST8000VN0022-2EL + 1000GB Samsung SSD 860, Graphics: Zotac NVIDIA GeForce RTX 2080 Ti 11GB (420/405MHz), Audio: Realtek ALC1220, Monitor: HP L1940T, Network: Intel I219-V + Intel-AC 9560

OS: Ubuntu 18.04, Kernel: 4.18.0-16-generic (x86_64), Desktop: GNOME Shell 3.28.3, Display Server: X Server 1.20.1, Display Driver: NVIDIA 410.104, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1280x1024

Processor Notes: Scaling Governor: intel_pstate powersave
Python Notes: Python 2.7.15rc1 + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB IBRS_FW STIBP + SSB disabled via prctl and seccomp

Testing initiated at 26 March 2019 11:21 by user hsmannheim.