3400g Intel oneDNN 2.6 AMD Ryzen 5 3400G testing with a ASUS PRIME B450M-A (2006 BIOS) and ASUS AMD Picasso 2GB on Ubuntu 19.10 via the Phoronix Test Suite. AMD Ryzen 5 3400G: Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso 2GB (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800 B: Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso 2GB (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800 C: Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso 2GB (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800 oneDNN 2.6 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 13.50 |==================================================== B ................. 13.62 |==================================================== C ................. 13.43 |=================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 11.45 |==================================================== B ................. 11.44 |==================================================== C ................. 11.47 |==================================================== oneDNN 2.6 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 10.92 |==================================================== B ................. 10.82 |=================================================== C ................. 10.99 |==================================================== oneDNN 2.6 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 3.18045 |================================================== B ................. 3.17807 |================================================== C ................. 3.17046 |================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 19.80 |==================================================== B ................. 19.77 |==================================================== C ................. 19.79 |==================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 20.03 |==================================================== B ................. 20.04 |==================================================== C ................. 20.07 |==================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 25.53 |==================================================== B ................. 25.52 |==================================================== C ................. 25.58 |==================================================== oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 29.71 |==================================================== B ................. 29.65 |==================================================== C ................. 29.84 |==================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 13.56 |==================================================== B ................. 13.54 |==================================================== C ................. 13.54 |==================================================== oneDNN 2.6 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 18.57 |=================================================== B ................. 18.95 |==================================================== C ................. 18.61 |=================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 13451.6 |================================================== B ................. 13417.7 |================================================== C ................. 13467.6 |================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 6907.36 |================================================== B ................. 6885.09 |================================================== C ................. 6875.24 |================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 13486.1 |================================================== B ................. 13551.9 |================================================== C ................. 13465.8 |================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 6878.76 |================================================== B ................. 6897.92 |================================================== C ................. 6925.98 |================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 6.66972 |================================================== B ................. 6.67733 |================================================== C ................. 6.67509 |================================================== oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 13538.9 |================================================== B ................. 13520.8 |================================================== C ................. 13429.7 |================================================== oneDNN 2.6 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 6858.28 |================================================== B ................. 6879.68 |================================================== C ................. 6885.89 |================================================== oneDNN 2.6 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD Ryzen 5 3400G . 4.83317 |================================================== B ................. 4.81811 |================================================== C ................. 4.82613 |==================================================