realSR-NCNN-test0

Intel Core i7-2600 testing with a HP 1587h (J51 v01.53 BIOS) and MSI AMD Radeon RX 56/64 8GB on Ubuntu 22.04 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 2304243-NE-REALSRNCN90
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  Test
  Duration
neural network vulkan testing
April 24 2023
  4 Minutes


realSR-NCNN-test0OpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-2600 @ 3.80GHz (4 Cores)HP 1587h (J51 v01.53 BIOS)Intel 2nd Generation Core DRAM12GB250GB Seagate ST9250315AS + 4GB Flash DiskMSI AMD Radeon RX 56/64 8GB (1622/800MHz)Realtek ALC262DigitalIntel 82579LMUbuntu 22.045.19.0-40-generic (x86_64)GNOME Shell 42.5X Server + Wayland4.6 Mesa 22.2.5 (LLVM 15.0.6 DRM 3.47)1.3.224GCC 11.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionRealSR-NCNN-test0 BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x2f - Thermald 2.4.9 - BAR1 / Visible vRAM Size: 256 MB - vBIOS Version: xxx-xxx-xxx - itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + mmio_stale_data: Unknown: No mitigations + retbleed: 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 Retpolines IBPB: conditional IBRS_FW RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yesneural network vulkan testing20406080100SE +/- 0.10, N = 376.22