Core i7 9750H EOY

Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

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Audio Encoding 4 Tests
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December 31 2020
  4 Hours, 52 Minutes
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December 31 2020
  4 Hours, 49 Minutes
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January 01 2021
  4 Hours, 52 Minutes
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January 01 2021
  4 Hours, 49 Minutes
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Core i7 9750H EOY Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite. Run 1: Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560 OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Run 2: Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560 OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Run 3: Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560 OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Run 4: Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560 OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better Run 1 . 59947 |================================================================ Run 2 . 60253 |================================================================ Run 3 . 59569 |=============================================================== Run 4 . 59541 |=============================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better Run 1 . 214.41 |=============================================================== Run 2 . 214.84 |=============================================================== Run 3 . 214.18 |=============================================================== Run 4 . 214.86 |=============================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better Run 1 . 2.7 |================================================================== Run 2 . 2.7 |================================================================== Run 3 . 2.7 |================================================================== Run 4 . 2.7 |================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better Run 1 . 213456.10 |=========================================================== Run 2 . 211631.58 |=========================================================== Run 3 . 210367.52 |=========================================================== Run 4 . 215746.32 |============================================================ Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better Run 1 . 1828912 |============================================================== Run 2 . 1778523 |============================================================ Run 3 . 1829986 |============================================================== Run 4 . 1831049 |============================================================== Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better Run 1 . 780585 |=============================================================== Run 2 . 760573 |============================================================= Run 3 . 781744 |=============================================================== Run 4 . 764849 |============================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better Run 1 . 2359.8 |=============================================================== Run 2 . 2358.8 |=============================================================== Run 3 . 2366.9 |=============================================================== Run 4 . 2357.4 |=============================================================== Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better Run 1 . 2307.6 |=============================================================== Run 2 . 2312.2 |=============================================================== Run 3 . 2314.6 |=============================================================== Run 4 . 2312.5 |=============================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better Run 1 . 811.0 |================================================================ Run 2 . 807.6 |=============================================================== Run 3 . 814.8 |================================================================ Run 4 . 809.6 |================================================================ Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better Run 1 . 828.0 |================================================================ Run 2 . 824.4 |================================================================ Run 3 . 830.8 |================================================================ Run 4 . 822.9 |=============================================================== Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better Run 1 . 442.5 |================================================================ Run 2 . 430.8 |============================================================== Run 3 . 445.2 |================================================================ Run 4 . 433.6 |============================================================== Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better Run 1 . 442.0 |=============================================================== Run 2 . 442.3 |=============================================================== Run 3 . 447.3 |================================================================ Run 4 . 438.5 |=============================================================== Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better Run 1 . 2104.7 |=============================================================== Run 2 . 2064.6 |============================================================= Run 3 . 2076.4 |============================================================== Run 4 . 2115.1 |=============================================================== Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better Run 1 . 2078.3 |=============================================================== Run 2 . 2074.2 |=============================================================== Run 3 . 2082.9 |=============================================================== Run 4 . 2078.9 |=============================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better Run 1 . 815.1 |================================================================ Run 2 . 812.7 |================================================================ Run 3 . 813.8 |================================================================ Run 4 . 809.3 |================================================================ Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better Run 1 . 830.4 |================================================================ Run 2 . 823.5 |=============================================================== Run 3 . 830.9 |================================================================ Run 4 . 824.8 |================================================================ Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better Run 1 . 446.1 |================================================================ Run 2 . 426.4 |============================================================= Run 3 . 446.2 |================================================================ Run 4 . 435.4 |============================================================== Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better Run 1 . 440.5 |=============================================================== Run 2 . 445.5 |================================================================ Run 3 . 448.4 |================================================================ Run 4 . 436.4 |============================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better Run 1 . 11.05 |============================================================= Run 2 . 11.42 |=============================================================== Run 3 . 10.97 |============================================================ Run 4 . 11.62 |================================================================ NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better Run 1 . 23.17 |================================================================ Run 2 . 23.05 |=============================================================== Run 3 . 23.13 |================================================================ Run 4 . 23.24 |================================================================ NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better Run 1 . 5.86 |=============================================================== Run 2 . 5.88 |=============================================================== Run 3 . 5.82 |============================================================== Run 4 . 6.07 |================================================================= NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better Run 1 . 4.75 |=============================================================== Run 2 . 4.72 |============================================================== Run 3 . 4.76 |=============================================================== Run 4 . 4.91 |================================================================= NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better Run 1 . 7.17 |================================================================ Run 2 . 7.21 |================================================================= Run 3 . 7.18 |================================================================= Run 4 . 7.23 |================================================================= NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better Run 1 . 5.27 |================================================================= Run 2 . 5.24 |================================================================ Run 3 . 5.29 |================================================================= Run 4 . 5.21 |================================================================ NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better Run 1 . 8.35 |================================================================= Run 2 . 8.33 |================================================================= Run 3 . 8.38 |================================================================= Run 4 . 8.31 |================================================================ NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better Run 1 . 2.26 |================================================================ Run 2 . 2.27 |================================================================ Run 3 . 2.26 |================================================================ Run 4 . 2.29 |================================================================= NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better Run 1 . 18.07 |================================================================ Run 2 . 18.02 |================================================================ Run 3 . 18.13 |================================================================ Run 4 . 18.01 |================================================================ NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better Run 1 . 69.52 |================================================================ Run 2 . 69.19 |================================================================ Run 3 . 69.48 |================================================================ Run 4 . 69.34 |================================================================ NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better Run 1 . 18.02 |================================================================ Run 2 . 17.91 |================================================================ Run 3 . 18.05 |================================================================ Run 4 . 17.99 |================================================================ NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better Run 1 . 15.01 |================================================================ Run 2 . 14.99 |================================================================ Run 3 . 15.00 |================================================================ Run 4 . 15.03 |================================================================ NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better Run 1 . 37.46 |================================================================ Run 2 . 37.43 |================================================================ Run 3 . 37.54 |================================================================ Run 4 . 37.48 |================================================================ NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better Run 1 . 33.37 |================================================================ Run 2 . 33.19 |================================================================ Run 3 . 33.21 |================================================================ Run 4 . 33.42 |================================================================ NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better Run 1 . 24.22 |================================================================ Run 2 . 24.16 |================================================================ Run 3 . 24.24 |================================================================ Run 4 . 24.23 |================================================================ NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better Run 1 . 16.18 |================================================================ Run 2 . 16.12 |================================================================ Run 3 . 16.19 |================================================================ Run 4 . 16.16 |================================================================ NCNN 20201218 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better Run 1 . 23.43 |=============================================================== Run 2 . 23.66 |================================================================ Run 3 . 23.39 |=============================================================== Run 4 . 23.34 |=============================================================== NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better Run 1 . 6.55 |================================================================= Run 2 . 6.10 |============================================================ Run 3 . 6.30 |============================================================== Run 4 . 6.56 |================================================================= NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better Run 1 . 5.36 |================================================================= Run 2 . 4.98 |============================================================ Run 3 . 5.12 |============================================================== Run 4 . 5.37 |================================================================= NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better Run 1 . 7.83 |================================================================= Run 2 . 7.39 |============================================================= Run 3 . 7.41 |============================================================== Run 4 . 7.83 |================================================================= NCNN 20201218 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better Run 1 . 5.51 |================================================================= Run 2 . 5.24 |============================================================== Run 3 . 5.36 |=============================================================== Run 4 . 5.49 |================================================================= NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better Run 1 . 8.69 |================================================================= Run 2 . 8.39 |=============================================================== Run 3 . 8.65 |================================================================ Run 4 . 8.72 |================================================================= NCNN 20201218 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better Run 1 . 2.40 |================================================================= Run 2 . 2.30 |============================================================== Run 3 . 2.38 |================================================================ Run 4 . 2.41 |================================================================= NCNN 20201218 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better Run 1 . 18.80 |================================================================ Run 2 . 18.15 |============================================================== Run 3 . 18.82 |================================================================ Run 4 . 18.86 |================================================================ NCNN 20201218 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better Run 1 . 69.78 |================================================================ Run 2 . 69.43 |=============================================================== Run 3 . 69.86 |================================================================ Run 4 . 70.02 |================================================================ NCNN 20201218 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better Run 1 . 18.55 |================================================================ Run 2 . 18.14 |=============================================================== Run 3 . 18.51 |================================================================ Run 4 . 18.54 |================================================================ NCNN 20201218 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better Run 1 . 15.42 |================================================================ Run 2 . 15.15 |=============================================================== Run 3 . 15.45 |================================================================ Run 4 . 15.48 |================================================================ NCNN 20201218 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better Run 1 . 37.71 |================================================================ Run 2 . 37.98 |================================================================ Run 3 . 37.66 |=============================================================== Run 4 . 37.73 |================================================================ NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better Run 1 . 33.51 |=============================================================== Run 2 . 33.86 |================================================================ Run 3 . 33.47 |=============================================================== Run 4 . 33.45 |=============================================================== NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better Run 1 . 24.42 |=============================================================== Run 2 . 24.79 |================================================================ Run 3 . 24.33 |=============================================================== Run 4 . 24.38 |=============================================================== NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better Run 1 . 16.71 |================================================================ Run 2 . 16.28 |============================================================== Run 3 . 16.61 |=============================================================== Run 4 . 16.76 |================================================================ Ogg Audio Encoding 1.3.4 WAV To Ogg Seconds < Lower Is Better Run 1 . 20.19 |=============================================================== Run 2 . 20.23 |=============================================================== Run 3 . 20.17 |=============================================================== Run 4 . 20.42 |================================================================ oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 6.80166 |============================================================= Run 2 . 6.92948 |============================================================== Run 3 . 6.80328 |============================================================= Run 4 . 6.79428 |============================================================= oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 9.77402 |============================================================= Run 2 . 9.79701 |============================================================= Run 3 . 9.79708 |============================================================= Run 4 . 9.91124 |============================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 3.22676 |============================================================== Run 2 . 3.23231 |============================================================== Run 3 . 3.22945 |============================================================== Run 4 . 3.22357 |============================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 2.77079 |============================================================== Run 2 . 2.76864 |============================================================== Run 3 . 2.77604 |============================================================== Run 4 . 2.76446 |============================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 17.29 |================================================================ Run 2 . 17.27 |================================================================ Run 3 . 17.23 |================================================================ Run 4 . 17.33 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 9.59491 |============================================================= Run 2 . 9.73463 |============================================================== Run 3 . 9.59132 |============================================================= Run 4 . 9.53953 |============================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 12.80 |================================================================ Run 2 . 12.79 |================================================================ Run 3 . 12.82 |================================================================ Run 4 . 12.56 |=============================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 16.11 |================================================================ Run 2 . 16.10 |================================================================ Run 3 . 16.10 |================================================================ Run 4 . 16.11 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 10.02868 |============================================================ Run 2 . 9.86713 |=========================================================== Run 3 . 9.89771 |=========================================================== Run 4 . 10.15560 |============================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 5.75257 |============================================================= Run 2 . 5.78370 |============================================================== Run 3 . 5.82049 |============================================================== Run 4 . 5.78336 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 6341.74 |============================================================= Run 2 . 6404.44 |============================================================== Run 3 . 6368.25 |============================================================== Run 4 . 6382.78 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 3427.62 |============================================================== Run 2 . 3454.22 |============================================================== Run 3 . 3410.08 |============================================================= Run 4 . 3445.59 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 6362.64 |============================================================== Run 2 . 6382.08 |============================================================== Run 3 . 6383.52 |============================================================== Run 4 . 6389.88 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 3421.60 |============================================================== Run 2 . 3443.81 |============================================================== Run 3 . 3424.77 |============================================================== Run 4 . 3415.63 |============================================================= oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 4.10014 |============================================================== Run 2 . 4.11267 |============================================================== Run 3 . 4.10713 |============================================================== Run 4 . 4.08784 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Run 1 . 6403.93 |============================================================== Run 2 . 6328.70 |============================================================= Run 3 . 6369.95 |============================================================== Run 4 . 6377.37 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Run 1 . 3457.32 |============================================================== Run 2 . 3418.99 |============================================================= Run 3 . 3440.22 |============================================================== Run 4 . 3444.93 |============================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 5.73586 |============================================================= Run 2 . 5.77450 |============================================================== Run 3 . 5.80983 |============================================================== Run 4 . 5.78522 |============================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better Run 1 . 8.574 |================================================================ Run 2 . 8.574 |================================================================ Run 3 . 8.563 |================================================================ Run 4 . 8.590 |================================================================ PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better Run 1 . 703856 |=========================================================== Run 2 . 724360 |============================================================= Run 3 . 722538 |============================================================= Run 4 . 745275 |=============================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better Run 1 . 62.07 |=============================================================== Run 2 . 62.69 |================================================================ Run 3 . 61.71 |=============================================================== Run 4 . 62.39 |================================================================ Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better Run 1 . 74.23 |=============================================================== Run 2 . 75.39 |================================================================ Run 3 . 75.01 |================================================================ Run 4 . 74.26 |=============================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better Run 1 . 101.28 |============================================================== Run 2 . 101.73 |=============================================================== Run 3 . 102.08 |=============================================================== Run 4 . 102.12 |=============================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better Run 1 . 117.23 |=============================================================== Run 2 . 117.14 |=============================================================== Run 3 . 117.18 |=============================================================== Run 4 . 117.40 |=============================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better Run 1 . 10.49 |=============================================================== Run 2 . 10.73 |================================================================ Run 3 . 10.53 |=============================================================== Run 4 . 10.61 |=============================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better Run 1 . 18.88 |================================================================ Run 2 . 18.87 |================================================================ Run 3 . 18.93 |================================================================ Run 4 . 18.86 |================================================================ VkFFT 1.1.1 Benchmark Score > Higher Is Better Run 1 . 1321 |================================================================= Run 2 . 1321 |================================================================= Run 3 . 1319 |================================================================= Run 4 . 1322 |================================================================= VkResample 1.0 Upscale: 2x - Precision: Double ms < Lower Is Better Run 1 . 1008.56 |============================================================== Run 2 . 1001.20 |============================================================= Run 3 . 1005.07 |============================================================= Run 4 . 1014.45 |============================================================== VkResample 1.0 Upscale: 2x - Precision: Single ms < Lower Is Better Run 1 . 461.63 |=============================================================== Run 2 . 464.40 |=============================================================== Run 3 . 463.05 |=============================================================== Run 4 . 464.96 |=============================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better Run 1 . 14.51 |================================================================ Run 2 . 14.50 |================================================================ Run 3 . 14.53 |================================================================ Run 4 . 14.51 |================================================================