xeon gold may 2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 4: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 toyBrot Fractal Generator 2020-11-18 Implementation: TBB ms < Lower Is Better 1 . 14945 |=============================================================== 2 . 14911 |=============================================================== 3 . 14835 |============================================================== 4 . 16213 |==================================================================== toyBrot Fractal Generator 2020-11-18 Implementation: OpenMP ms < Lower Is Better 1 . 15379 |==================================================================== 2 . 15362 |==================================================================== 3 . 15392 |==================================================================== 4 . 15365 |==================================================================== toyBrot Fractal Generator 2020-11-18 Implementation: C++ Tasks ms < Lower Is Better 1 . 15496 |==================================================================== 2 . 15412 |=================================================================== 3 . 15522 |==================================================================== 4 . 15563 |==================================================================== toyBrot Fractal Generator 2020-11-18 Implementation: C++ Threads ms < Lower Is Better 1 . 15587 |==================================================================== 2 . 15491 |=================================================================== 3 . 15638 |==================================================================== 4 . 15689 |==================================================================== NWChem 7.0.2 Input: C240 Buckyball Seconds < Lower Is Better 1 . 4286.7 |=================================================================== 2 . 4301.2 |=================================================================== 3 . 4226.9 |================================================================== 4 . 4262.5 |================================================================== Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d Seconds < Lower Is Better 1 . 649.25 |================================================================= 2 . 666.41 |=================================================================== 3 . 670.62 |=================================================================== 4 . 648.23 |================================================================= Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better 1 . 6.91602707 |============================================================== 2 . 6.88418102 |============================================================== 3 . 6.90534210 |============================================================== 4 . 6.99668980 |=============================================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better 1 . 29.47 |==================================================================== 2 . 29.16 |=================================================================== 3 . 29.53 |==================================================================== 4 . 29.58 |==================================================================== GNU GMP GMPbench 6.2.1 Total Time GMPbench Score > Higher Is Better 1 . 4845.3 |=================================================================== 2 . 4845.4 |=================================================================== 3 . 4835.6 |=================================================================== 4 . 4847.2 |=================================================================== Xmrig 6.12.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better 1 . 10743.7 |================================================================== 2 . 10703.2 |================================================================= 3 . 10766.5 |================================================================== 4 . 10788.1 |================================================================== Xmrig 6.12.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better 1 . 17055.2 |================================================================== 2 . 16962.4 |================================================================== 3 . 17000.7 |================================================================== 4 . 16952.0 |================================================================== Chia Blockchain VDF 1.0.1 Test: Square IPS > Higher Is Better 1 . 119700 |=================================================================== 2 . 119900 |=================================================================== 3 . 120300 |=================================================================== 4 . 119500 |=================================================================== Chia Blockchain VDF 1.0.1 Test: Square IPS > Higher Is Better 1 . 153600 |================================================================ 2 . 160000 |=================================================================== 3 . 156400 |================================================================= 4 . 154900 |================================================================= Zstd Compression 1.4.9 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 3021.0 |=================================================================== 2 . 2998.1 |================================================================== 3 . 2934.9 |================================================================= 4 . 2894.3 |================================================================ Zstd Compression 1.4.9 Compression Level: 8 - Compression Speed MB/s > Higher Is Better 1 . 907.6 |=================================================================== 2 . 917.0 |=================================================================== 3 . 924.1 |==================================================================== 4 . 885.5 |================================================================= Zstd Compression 1.4.9 Compression Level: 8 - Decompression Speed MB/s > Higher Is Better 1 . 2657.2 |=================================================================== 2 . 2659.8 |=================================================================== 3 . 2665.5 |=================================================================== 4 . 2663.4 |=================================================================== Zstd Compression 1.4.9 Compression Level: 19 - Compression Speed MB/s > Higher Is Better 1 . 63.2 |================================================================= 2 . 67.2 |===================================================================== 3 . 61.1 |=============================================================== 4 . 62.7 |================================================================ Zstd Compression 1.4.9 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better 1 . 2304.6 |================================================================== 2 . 2352.0 |=================================================================== 3 . 2312.6 |================================================================== 4 . 2340.7 |=================================================================== Zstd Compression 1.4.9 Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 296.2 |=================================================================== 2 . 301.1 |==================================================================== 3 . 300.7 |==================================================================== 4 . 296.4 |=================================================================== Zstd Compression 1.4.9 Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2839.8 |=================================================================== 2 . 2828.6 |=================================================================== 3 . 2848.2 |=================================================================== 4 . 2839.9 |=================================================================== Zstd Compression 1.4.9 Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 308.4 |================================================================== 2 . 299.9 |================================================================= 3 . 315.4 |==================================================================== 4 . 313.1 |==================================================================== Zstd Compression 1.4.9 Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2767.9 |================================================================== 2 . 2771.8 |================================================================== 3 . 2795.9 |=================================================================== 4 . 2793.4 |=================================================================== Zstd Compression 1.4.9 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better 1 . 40.0 |=================================================================== 2 . 41.1 |===================================================================== 3 . 41.2 |===================================================================== 4 . 39.7 |================================================================== Zstd Compression 1.4.9 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better 1 . 2332.0 |================================================================== 2 . 2352.7 |=================================================================== 3 . 2329.6 |================================================================== 4 . 2328.9 |================================================================== srsLTE 20.10.1 Test: OFDM_Test Samples / Second > Higher Is Better 1 . 118900000 |=============================================================== 2 . 117300000 |============================================================== 3 . 120500000 |================================================================ 4 . 120600000 |================================================================ srsLTE 20.10.1 Test: PHY_DL_Test eNb Mb/s > Higher Is Better 1 . 200.6 |==================================================================== 2 . 201.1 |==================================================================== 3 . 199.4 |=================================================================== 4 . 199.5 |=================================================================== srsLTE 20.10.1 Test: PHY_DL_Test UE Mb/s > Higher Is Better 1 . 83.4 |===================================================================== 2 . 83.4 |===================================================================== 3 . 82.7 |==================================================================== 4 . 83.0 |===================================================================== LuaRadio 0.9.1 Test: Five Back to Back FIR Filters MiB/s > Higher Is Better 1 . 811.6 |================================================================== 2 . 837.2 |==================================================================== 3 . 816.5 |================================================================== 4 . 794.3 |================================================================= LuaRadio 0.9.1 Test: FM Deemphasis Filter MiB/s > Higher Is Better 1 . 356.8 |=================================================================== 2 . 357.5 |==================================================================== 3 . 359.0 |==================================================================== 4 . 359.9 |==================================================================== LuaRadio 0.9.1 Test: Hilbert Transform MiB/s > Higher Is Better 1 . 66 |======================================================================= 2 . 66 |======================================================================= 3 . 66 |======================================================================= 4 . 66 |======================================================================= LuaRadio 0.9.1 Test: Complex Phase MiB/s > Higher Is Better 1 . 445.2 |================================================================== 2 . 449.5 |=================================================================== 3 . 438.7 |================================================================= 4 . 455.7 |==================================================================== GNU Radio Test: Five Back to Back FIR Filters MiB/s > Higher Is Better 1 . 768.9 |================================================================ 2 . 723.7 |============================================================= 3 . 811.3 |==================================================================== 4 . 770.2 |================================================================= GNU Radio Test: Signal Source (Cosine) MiB/s > Higher Is Better 1 . 2126.9 |================================================================== 2 . 2135.5 |=================================================================== 3 . 2137.8 |=================================================================== 4 . 2143.0 |=================================================================== GNU Radio Test: FIR Filter MiB/s > Higher Is Better 1 . 515.8 |==================================================================== 2 . 511.7 |=================================================================== 3 . 514.5 |==================================================================== 4 . 514.1 |==================================================================== GNU Radio Test: IIR Filter MiB/s > Higher Is Better 1 . 460.2 |==================================================================== 2 . 454.2 |=================================================================== 3 . 453.5 |=================================================================== 4 . 457.9 |==================================================================== GNU Radio Test: FM Deemphasis Filter MiB/s > Higher Is Better 1 . 581.9 |=================================================================== 2 . 565.9 |================================================================= 3 . 586.8 |==================================================================== 4 . 587.8 |==================================================================== GNU Radio Test: Hilbert Transform MiB/s > Higher Is Better 1 . 372.2 |==================================================================== 2 . 371.3 |==================================================================== 3 . 370.0 |==================================================================== 4 . 361.7 |================================================================== LuxCoreRender 2.5 Scene: DLSC - Acceleration: CPU M samples/sec > Higher Is Better 1 . 4.44 |==================================================================== 2 . 4.53 |===================================================================== 3 . 4.36 |================================================================== 4 . 4.44 |==================================================================== LuxCoreRender 2.5 Scene: Danish Mood - Acceleration: CPU M samples/sec > Higher Is Better 1 . 3.14 |===================================================================== 2 . 3.16 |===================================================================== 3 . 3.08 |=================================================================== 4 . 3.12 |==================================================================== LuxCoreRender 2.5 Scene: Orange Juice - Acceleration: CPU M samples/sec > Higher Is Better 1 . 7.08 |===================================================================== 2 . 7.08 |===================================================================== 3 . 7.03 |===================================================================== 4 . 7.02 |==================================================================== LuxCoreRender 2.5 Scene: LuxCore Benchmark - Acceleration: CPU M samples/sec > Higher Is Better 1 . 3.15 |==================================================================== 2 . 2.76 |============================================================ 3 . 3.18 |===================================================================== 4 . 2.78 |============================================================ LuxCoreRender 2.5 Scene: Rainbow Colors and Prism - Acceleration: CPU M samples/sec > Higher Is Better 1 . 9.67 |================================================================= 2 . 8.74 |=========================================================== 3 . 10.04 |==================================================================== 4 . 10.08 |==================================================================== dav1d 0.8.2 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 350.14 |=================================================================== 2 . 348.51 |================================================================== 3 . 350.37 |=================================================================== 4 . 352.43 |=================================================================== dav1d 0.8.2 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 194.10 |=================================================================== 2 . 190.34 |================================================================== 3 . 190.95 |================================================================== 4 . 190.58 |================================================================== dav1d 0.8.2 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 313.99 |=========================================================== 2 . 352.59 |================================================================== 3 . 355.29 |=================================================================== 4 . 353.23 |=================================================================== dav1d 0.8.2 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 86.27 |==================================================================== 2 . 85.23 |=================================================================== 3 . 85.76 |==================================================================== 4 . 85.20 |=================================================================== AOM AV1 3.0 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 0.14 |================================================================ 2 . 0.15 |===================================================================== 3 . 0.14 |================================================================ 4 . 0.14 |================================================================ AOM AV1 3.0 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 2.79 |===================================================================== 2 . 2.75 |==================================================================== 3 . 2.80 |===================================================================== 4 . 2.74 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 7.79 |===================================================================== 2 . 7.44 |================================================================== 3 . 6.86 |============================================================= 4 . 7.46 |================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 4.56 |===================================================================== 2 . 4.48 |==================================================================== 3 . 4.45 |=================================================================== 4 . 4.52 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 14.94 |==================================================================== 2 . 14.89 |==================================================================== 3 . 14.92 |==================================================================== 4 . 14.97 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 17.96 |================================================================== 2 . 18.39 |==================================================================== 3 . 18.06 |=================================================================== 4 . 18.12 |=================================================================== AOM AV1 3.0 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 0.36 |===================================================================== 2 . 0.34 |================================================================= 3 . 0.36 |===================================================================== 4 . 0.36 |===================================================================== AOM AV1 3.0 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 4.45 |===================================================================== 2 . 4.46 |===================================================================== 3 . 4.44 |===================================================================== 4 . 4.41 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 12.61 |================================================================= 2 . 13.03 |==================================================================== 3 . 12.88 |=================================================================== 4 . 13.12 |==================================================================== AOM AV1 3.0 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 10.68 |==================================================================== 2 . 10.42 |================================================================== 3 . 10.50 |=================================================================== 4 . 10.54 |=================================================================== AOM AV1 3.0 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 36.21 |================================================================ 2 . 38.76 |==================================================================== 3 . 37.78 |================================================================== 4 . 37.55 |================================================================== AOM AV1 3.0 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 42.91 |============================================================= 2 . 46.51 |================================================================== 3 . 45.05 |================================================================ 4 . 48.02 |==================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 18.88 |==================================================================== 2 . 18.95 |==================================================================== 3 . 18.84 |==================================================================== 4 . 18.94 |==================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 201.75 |================================================================= 2 . 197.43 |================================================================ 3 . 206.40 |=================================================================== 4 . 199.27 |================================================================= SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 333.89 |================================================================= 2 . 340.91 |================================================================== 3 . 346.82 |=================================================================== 4 . 336.89 |================================================================= SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 142.36 |=================================================================== 2 . 141.05 |================================================================== 3 . 142.99 |=================================================================== 4 . 142.35 |=================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 260.48 |================================================================= 2 . 267.22 |=================================================================== 3 . 264.76 |================================================================== 4 . 267.66 |=================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 203.40 |================================================================ 2 . 211.38 |=================================================================== 3 . 204.68 |================================================================= 4 . 206.07 |================================================================= Stockfish 13 Total Time Nodes Per Second > Higher Is Better 1 . 78787075 |================================================================= 2 . 76033319 |=============================================================== 3 . 77219168 |================================================================ 4 . 78180524 |================================================================ libavif avifenc 0.9.0 Encoder Speed: 0 Seconds < Lower Is Better 1 . 64.14 |==================================================================== 2 . 63.22 |=================================================================== 3 . 64.32 |==================================================================== 4 . 64.03 |==================================================================== libavif avifenc 0.9.0 Encoder Speed: 2 Seconds < Lower Is Better 1 . 37.20 |==================================================================== 2 . 35.99 |================================================================== 3 . 35.71 |================================================================= 4 . 36.50 |=================================================================== libavif avifenc 0.9.0 Encoder Speed: 6 Seconds < Lower Is Better 1 . 15.80 |=================================================================== 2 . 15.98 |==================================================================== 3 . 15.43 |================================================================== 4 . 15.28 |================================================================= libavif avifenc 0.9.0 Encoder Speed: 10 Seconds < Lower Is Better 1 . 5.465 |=========================================================== 2 . 6.314 |==================================================================== 3 . 5.473 |=========================================================== 4 . 5.478 |=========================================================== libavif avifenc 0.9.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better 1 . 39.69 |================================================================== 2 . 40.34 |=================================================================== 3 . 39.19 |================================================================= 4 . 41.01 |==================================================================== libavif avifenc 0.9.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better 1 . 8.516 |================================================================== 2 . 8.564 |=================================================================== 3 . 8.755 |==================================================================== 4 . 8.605 |=================================================================== Timed Linux Kernel Compilation 5.10.20 Time To Compile Seconds < Lower Is Better 1 . 45.42 |==================================================================== 2 . 45.67 |==================================================================== 3 . 45.39 |==================================================================== 4 . 45.49 |==================================================================== Timed LLVM Compilation 12.0 Build System: Ninja Seconds < Lower Is Better 1 . 265.85 |================================================================== 2 . 266.09 |=================================================================== 3 . 267.91 |=================================================================== 4 . 266.48 |=================================================================== Timed LLVM Compilation 12.0 Build System: Unix Makefiles Seconds < Lower Is Better 1 . 325.69 |=================================================================== 2 . 321.75 |================================================================== 3 . 322.56 |================================================================== 4 . 318.56 |================================================================== Timed Mesa Compilation 21.0 Time To Compile Seconds < Lower Is Better 1 . 28.88 |=================================================================== 2 . 29.17 |=================================================================== 3 . 28.90 |=================================================================== 4 . 29.46 |==================================================================== Timed Node.js Compilation 15.11 Time To Compile Seconds < Lower Is Better 1 . 179.26 |=================================================================== 2 . 180.03 |=================================================================== 3 . 179.89 |=================================================================== 4 . 180.42 |=================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.78840 |================================================================== 2 . 1.78007 |================================================================== 3 . 1.77036 |================================================================= 4 . 1.77586 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.83789 |================================================================== 2 . 3.84876 |================================================================== 3 . 3.85381 |================================================================== 4 . 3.80618 |================================================================= oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.29308 |============================================================ 2 . 1.41488 |================================================================== 3 . 1.30088 |============================================================= 4 . 1.37687 |================================================================ oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.24076 |================================================================== 2 . 1.23099 |================================================================= 3 . 1.22205 |================================================================= 4 . 1.24693 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 5.66618 |================================================================== 2 . 5.68393 |================================================================== 3 . 5.67395 |================================================================== 4 . 5.66602 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3.26841 |============================================================== 2 . 3.49655 |================================================================== 3 . 3.29601 |============================================================== 4 . 3.28339 |============================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7.44308 |================================================================== 2 . 7.45262 |================================================================== 3 . 7.43698 |================================================================== 4 . 7.44723 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.50 |================================================================== 2 . 10.60 |=================================================================== 3 . 10.78 |==================================================================== 4 . 10.58 |=================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.74419 |================================================================== 2 . 2.73594 |================================================================== 3 . 2.74541 |================================================================== 4 . 2.73878 |================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7.02868 |================================================================== 2 . 7.04112 |================================================================== 3 . 7.02817 |================================================================== 4 . 7.03549 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.579310 |================================================================= 2 . 0.575064 |================================================================= 3 . 0.577338 |================================================================= 4 . 0.572075 |================================================================ oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.691819 |================================================================= 2 . 0.687965 |================================================================= 3 . 0.689592 |================================================================= 4 . 0.686666 |================================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1451.98 |=============================================================== 2 . 1529.24 |================================================================== 3 . 1447.85 |============================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 820.74 |=================================================================== 2 . 821.21 |=================================================================== 3 . 823.64 |=================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1455.35 |============================================================= 2 . 1562.55 |================================================================== 3 . 1441.95 |============================================================= oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 6.35796 |================================================================== 2 . 6.36451 |================================================================== 3 . 6.36271 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 8.09402 |================================================================== 2 . 8.08309 |================================================================== 3 . 8.08333 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 9.56456 |================================================================== 2 . 9.55763 |================================================================== 3 . 9.56342 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 875.94 |=================================================================== 2 . 806.99 |============================================================== 3 . 805.09 |============================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 0.535029 |================================================================ 2 . 0.537236 |================================================================= 3 . 0.540858 |================================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 1453.16 |======================================================= 2 . 1746.91 |================================================================== 3 . 1460.45 |======================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 806.23 |================================================================== 2 . 817.68 |=================================================================== 3 . 808.93 |================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.332573 |================================================================= 2 . 0.332450 |================================================================= 3 . 0.331706 |================================================================= oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 1.47752 |================================================================== 2 . 1.47929 |================================================================== 3 . 1.47937 |================================================================== Timed Erlang/OTP Compilation 23.2 Time To Compile Seconds < Lower Is Better 1 . 147.03 |=================================================================== 2 . 147.14 |=================================================================== 3 . 146.42 |=================================================================== VOSK Speech Recognition Toolkit 0.3.21 Seconds < Lower Is Better 1 . 24.81 |================================================================== 2 . 25.74 |==================================================================== 3 . 24.32 |================================================================ SecureMark 1.0.4 Benchmark: SecureMark-TLS marks > Higher Is Better 1 . 222792 |=================================================================== 2 . 220952 |================================================================== 3 . 222753 |=================================================================== Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 51236000 |================================================================= 2 . 51213000 |================================================================= 3 . 51203000 |================================================================= Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 95118000 |================================================================ 2 . 96136000 |================================================================= 3 . 95858000 |================================================================= Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 178500000 |================================================================ 2 . 176860000 |=============================================================== 3 . 177910000 |================================================================ Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 342860000 |============================================================= 2 . 342930000 |============================================================= 3 . 359070000 |================================================================ Liquid-DSP 2021.01.31 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 568010000 |============================================================== 2 . 583790000 |================================================================ 3 . 586810000 |================================================================ Liquid-DSP 2021.01.31 Threads: 32 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 1048600000 |============================================================== 2 . 1069500000 |=============================================================== 3 . 1057100000 |============================================================== Liquid-DSP 2021.01.31 Threads: 64 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 1400500000 |=============================================================== 2 . 1398700000 |=============================================================== 3 . 1395900000 |=============================================================== Liquid-DSP 2021.01.31 Threads: 72 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 1440500000 |=============================================================== 2 . 1439700000 |=============================================================== 3 . 1440700000 |=============================================================== libjpeg-turbo tjbench 2.1.0 Test: Decompression Throughput Megapixels/sec > Higher Is Better 1 . 173.48 |=================================================================== 2 . 173.78 |=================================================================== 3 . 173.30 |=================================================================== ASTC Encoder 2.4 Preset: Medium Seconds < Lower Is Better 1 . 6.0501 |================================================================== 2 . 6.1187 |=================================================================== 3 . 6.1080 |=================================================================== ASTC Encoder 2.4 Preset: Thorough Seconds < Lower Is Better 1 . 5.7909 |=================================================================== 2 . 5.7892 |=================================================================== 3 . 5.7843 |=================================================================== ASTC Encoder 2.4 Preset: Exhaustive Seconds < Lower Is Better 1 . 40.07 |==================================================================== 2 . 40.06 |==================================================================== 3 . 40.06 |==================================================================== KTX-Software toktx 4.0 Settings: UASTC 3 Seconds < Lower Is Better 1 . 7.323 |==================================================================== 2 . 7.367 |==================================================================== 3 . 7.283 |=================================================================== KTX-Software toktx 4.0 Settings: Zstd Compression 9 Seconds < Lower Is Better 1 . 3.670 |==================================================================== 2 . 3.676 |==================================================================== 3 . 3.593 |================================================================== KTX-Software toktx 4.0 Settings: Zstd Compression 19 Seconds < Lower Is Better 1 . 21.69 |==================================================================== 2 . 21.74 |==================================================================== 3 . 21.75 |==================================================================== KTX-Software toktx 4.0 Settings: UASTC 3 + Zstd Compression 19 Seconds < Lower Is Better 1 . 13.12 |==================================================================== 2 . 13.12 |==================================================================== 3 . 13.19 |==================================================================== KTX-Software toktx 4.0 Settings: UASTC 4 + Zstd Compression 19 Seconds < Lower Is Better 1 . 133.82 |=================================================================== 2 . 131.67 |================================================================== 3 . 131.75 |================================================================== OpenSCAD Render: Pistol Seconds < Lower Is Better 1 . 128.88 |=================================================================== 2 . 129.27 |=================================================================== 3 . 129.69 |=================================================================== OpenSCAD Render: Retro Car Seconds < Lower Is Better 1 . 22.80 |==================================================================== 2 . 22.79 |==================================================================== 3 . 22.81 |==================================================================== OpenSCAD Render: Mini-ITX Case Seconds < Lower Is Better 1 . 54.16 |==================================================================== 2 . 53.94 |==================================================================== 3 . 53.77 |==================================================================== OpenSCAD Render: Projector Mount Swivel Seconds < Lower Is Better 1 . 114.31 |=================================================================== 2 . 114.85 |=================================================================== 3 . 114.69 |=================================================================== OpenSCAD Render: Leonardo Phone Case Slim Seconds < Lower Is Better 1 . 21.56 |==================================================================== 2 . 21.66 |==================================================================== 3 . 21.55 |==================================================================== Google Draco 1.4.1 Model: Lion ms < Lower Is Better 1 . 6591 |==================================================================== 2 . 6673 |===================================================================== 3 . 6664 |===================================================================== Google Draco 1.4.1 Model: Church Facade ms < Lower Is Better 1 . 9305 |==================================================================== 2 . 9381 |===================================================================== 3 . 9349 |===================================================================== Blender 2.92 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 1 . 60.67 |==================================================================== 2 . 60.59 |==================================================================== 3 . 60.45 |==================================================================== Blender 2.92 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better 1 . 175.79 |=================================================================== 2 . 175.85 |=================================================================== 3 . 175.60 |=================================================================== Blender 2.92 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better 1 . 84.69 |==================================================================== 2 . 84.90 |==================================================================== 3 . 84.41 |==================================================================== Blender 2.92 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 1 . 243.49 |=================================================================== 2 . 240.14 |================================================================== 3 . 239.69 |================================================================== Blender 2.92 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better 1 . 195.96 |=================================================================== 2 . 195.67 |=================================================================== 3 . 194.73 |===================================================================