waifuncnn_pts

Intel Core i7-11850H testing with a Dell Precision 5560 0WPMMN (1.33.0 BIOS) and Intel UHD TGL GT1 4GB on Pop 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 2411245-NE-WAIFUNCNN18
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Intel UHD TGL GT1
November 24
  1 Minute
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waifuncnn_ptsOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-11850H @ 4.80GHz (8 Cores / 16 Threads)Dell Precision 5560 0WPMMN (1.33.0 BIOS)Intel Tiger Lake-H2 x 32GB DDR4-3200MT/s LD4AS032G-3200ST2000GB KIOXIA-EXCERIA G2 SSDIntel UHD TGL GT1 4GB (300/405MHz)Realtek ALC289X2485Intel Tiger Lake PCH CNVi WiFiPop 22.046.9.3-76060903-generic (x86_64)GNOME Shell 42.9X ServerNVIDIA 560.35.034.6 Mesa 24.0.3-1pop1~1711635559~22.04~7a9f319OpenCL 3.01.3.274GCC 11.4.0 + CUDA 11.5ext45760x2400ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionWaifuncnn_pts PerformanceSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x52 - Thermald 2.4.9 - BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.17.74.00.61- gather_data_sampling: Mitigation of Microcode + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + 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 Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: SW sequence; BHI: SW loop KVM: SW loop + srbds: Not affected + tsx_async_abort: Not affected

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. 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 with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoIntel UHD TGL GT10.69051.3812.07152.7623.4525SE +/- 0.022, N = 33.069

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesIntel UHD TGL GT13691215SE +/- 0.02, N = 312.42