3300X oneDNN SVT Stuff

AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 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 2103158-HA-3300XONED31
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CPU Massive 4 Tests
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March 15 2021
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March 15 2021
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March 15 2021
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3300X oneDNN SVT Stuff AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"1","2","3" Processor,,AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads),AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads),AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads) Motherboard,,MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS),MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS),MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,8GB,8GB,8GB Disk,,256GB INTEL SSDPEKKW256G7,256GB INTEL SSDPEKKW256G7,256GB INTEL SSDPEKKW256G7 Graphics,,AMD FirePro V3800 512MB,AMD FirePro V3800 512MB,AMD FirePro V3800 512MB Audio,,AMD Redwood HDMI Audio,AMD Redwood HDMI Audio,AMD Redwood HDMI Audio Monitor,,DELL S2409W,DELL S2409W,DELL S2409W Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.9.0-rc5-14sep-patch (x86_64) 20200914,5.9.0-rc5-14sep-patch (x86_64) 20200914,5.9.0-rc5-14sep-patch (x86_64) 20200914 Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9 OpenGL,,3.3 Mesa 20.0.8 (LLVM 10.0.0),3.3 Mesa 20.0.8 (LLVM 10.0.0),3.3 Mesa 20.0.8 (LLVM 10.0.0) Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"1","2","3" "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,10.4017,10.4706,10.2441 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.73839,2.71709,2.68835 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,108.00,109.62,109.10 "Sysbench - Test: RAM / Memory (MiB/sec)",HIB,16393.95,16345.46,16159.08 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.91753,4.90848,4.88115 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,21.7320,21.8783,21.7457 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,110.67,110.57,111.25 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,22.6564,22.5345,22.6150 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,6.78051,6.75096,6.78600 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,11.3315,11.3471,11.2956 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,87.76,88.03,87.67 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6032.29,6025.13,6008.78 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.79725,6.78850,6.77109 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3101.94,3107.96,3113.52 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3113.93,3110.22,3102.45 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.09889,6.11621,6.12141 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,5.02827,5.03340,5.01653 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6030.31,6010.23,6015.97 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,3109.22,3118.20,3119.40 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,4.03,4.04,4.04 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,5993.82,5983.99,5981.79 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.15795,9.17290,9.15620 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,62.02,61.91,61.92 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,133.19,133.04,133.20 "Sysbench - Test: CPU (Events/sec)",HIB,8918.82,8918.55,8921.34 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,11.04320,13.0095,13.0919