2990WX March AMD Ryzen Threadripper 2990WX 32-Core testing with a ASUS ROG ZENITH EXTREME (1701 BIOS) and Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB on Ubuntu 20.10 via the Phoronix Test Suite. 1: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1701 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 20.10, Kernel: 5.8.0-44-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1701 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 20.10, Kernel: 5.8.0-44-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen Threadripper 2990WX 32-Core @ 3.00GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH EXTREME (1701 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB + 250GB Western Digital WDS250G2X0C-00L350, Graphics: Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1244/1750MHz), Audio: Realtek ALC1220, Monitor: LG Ultra HD, Network: Intel I211 + Qualcomm Atheros QCA6174 802.11ac + Wilocity Wil6200 802.11ad OS: Ubuntu 20.10, Kernel: 5.8.0-44-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 simdjson 0.8.2 Throughput Test: Kostya GB/s > Higher Is Better 1 . 2.28 |===================================================================== 2 . 2.29 |===================================================================== 3 . 2.29 |===================================================================== simdjson 0.8.2 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.92 |===================================================================== 2 . 0.92 |===================================================================== 3 . 0.92 |===================================================================== simdjson 0.8.2 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 2.96 |===================================================================== 2 . 2.97 |===================================================================== 3 . 2.97 |===================================================================== simdjson 0.8.2 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 3.32 |===================================================================== 2 . 3.33 |===================================================================== 3 . 3.33 |===================================================================== JPEG XL 0.3.3 Input: PNG - Encode Speed: 5 MP/s > Higher Is Better 1 . 58.84 |==================================================================== 2 . 58.35 |=================================================================== 3 . 58.67 |==================================================================== JPEG XL 0.3.3 Input: PNG - Encode Speed: 7 MP/s > Higher Is Better 1 . 8.26 |===================================================================== 2 . 8.26 |===================================================================== 3 . 8.25 |===================================================================== JPEG XL 0.3.3 Input: PNG - Encode Speed: 8 MP/s > Higher Is Better 1 . 0.72 |===================================================================== 2 . 0.71 |==================================================================== 3 . 0.72 |===================================================================== JPEG XL 0.3.3 Input: JPEG - Encode Speed: 5 MP/s > Higher Is Better 1 . 53.26 |==================================================================== 2 . 53.60 |==================================================================== 3 . 52.85 |=================================================================== JPEG XL 0.3.3 Input: JPEG - Encode Speed: 7 MP/s > Higher Is Better 1 . 53.47 |=================================================================== 2 . 54.08 |==================================================================== 3 . 53.19 |=================================================================== JPEG XL 0.3.3 Input: JPEG - Encode Speed: 8 MP/s > Higher Is Better 1 . 22.91 |================================================================== 2 . 23.49 |==================================================================== 3 . 23.30 |=================================================================== JPEG XL Decoding 0.3.3 CPU Threads: 1 MP/s > Higher Is Better 1 . 32.45 |==================================================================== 2 . 32.59 |==================================================================== 3 . 32.55 |==================================================================== JPEG XL Decoding 0.3.3 CPU Threads: All MP/s > Higher Is Better 1 . 173.91 |=================================================================== 2 . 174.35 |=================================================================== 3 . 174.95 |=================================================================== srsLTE 20.10.1 Test: OFDM_Test Samples / Second > Higher Is Better 1 . 82300000 |================================================================= 2 . 82266667 |================================================================= 3 . 82733333 |================================================================= srsLTE 20.10.1 Test: PHY_DL_Test eNb Mb/s > Higher Is Better 1 . 227.9 |==================================================================== 2 . 228.7 |==================================================================== 3 . 229.1 |==================================================================== srsLTE 20.10.1 Test: PHY_DL_Test UE Mb/s > Higher Is Better 1 . 86.2 |===================================================================== 2 . 86.2 |===================================================================== 3 . 86.5 |===================================================================== LuaRadio 0.9.1 Test: Five Back to Back FIR Filters MiB/s > Higher Is Better 1 . 493.1 |==================================================================== 2 . 488.1 |=================================================================== 3 . 491.9 |==================================================================== LuaRadio 0.9.1 Test: FM Deemphasis Filter MiB/s > Higher Is Better 1 . 405.0 |==================================================================== 2 . 403.2 |==================================================================== 3 . 404.7 |==================================================================== LuaRadio 0.9.1 Test: Hilbert Transform MiB/s > Higher Is Better 1 . 98.1 |===================================================================== 2 . 97.4 |===================================================================== 3 . 97.4 |===================================================================== LuaRadio 0.9.1 Test: Complex Phase MiB/s > Higher Is Better 1 . 570.6 |==================================================================== 2 . 565.6 |=================================================================== 3 . 567.3 |==================================================================== GNU Radio Test: Five Back to Back FIR Filters MiB/s > Higher Is Better 1 . 369.9 |================================================================= 2 . 384.1 |==================================================================== 3 . 373.6 |================================================================== GNU Radio Test: Signal Source (Cosine) MiB/s > Higher Is Better 1 . 3139.8 |================================================================== 2 . 3176.9 |=================================================================== 3 . 3144.5 |================================================================== GNU Radio Test: FIR Filter MiB/s > Higher Is Better 1 . 601.9 |=================================================================== 2 . 599.5 |=================================================================== 3 . 607.0 |==================================================================== GNU Radio Test: IIR Filter MiB/s > Higher Is Better 1 . 575.8 |=================================================================== 2 . 584.0 |==================================================================== 3 . 580.3 |==================================================================== GNU Radio Test: FM Deemphasis Filter MiB/s > Higher Is Better 1 . 809.1 |==================================================================== 2 . 804.0 |==================================================================== 3 . 791.9 |=================================================================== GNU Radio Test: Hilbert Transform MiB/s > Higher Is Better 1 . 411.9 |==================================================================== 2 . 410.3 |==================================================================== 3 . 412.4 |==================================================================== AOM AV1 2.1-rc Encoder Mode: Speed 0 Two-Pass Frames Per Second > Higher Is Better 1 . 0.21 |===================================================================== 2 . 0.21 |===================================================================== 3 . 0.21 |===================================================================== AOM AV1 2.1-rc Encoder Mode: Speed 4 Two-Pass Frames Per Second > Higher Is Better 1 . 4.51 |===================================================================== 2 . 4.47 |==================================================================== 3 . 4.50 |===================================================================== AOM AV1 2.1-rc Encoder Mode: Speed 6 Realtime Frames Per Second > Higher Is Better 1 . 17.24 |==================================================================== 2 . 17.15 |==================================================================== 3 . 17.19 |==================================================================== AOM AV1 2.1-rc Encoder Mode: Speed 6 Two-Pass Frames Per Second > Higher Is Better 1 . 13.33 |==================================================================== 2 . 13.38 |==================================================================== 3 . 13.33 |==================================================================== AOM AV1 2.1-rc Encoder Mode: Speed 8 Realtime Frames Per Second > Higher Is Better 1 . 52.03 |================================================================== 2 . 53.32 |=================================================================== 3 . 53.85 |==================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.68194 |================================================================== 2 . 6.68145 |================================================================== 3 . 6.72476 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 12.45 |==================================================================== 2 . 12.10 |================================================================== 3 . 12.53 |==================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.51177 |================================================================= 2 . 2.52878 |================================================================== 3 . 2.53747 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.57521 |================================================================= 2 . 3.59224 |================================================================== 3 . 3.60454 |================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 20.40 |==================================================================== 2 . 20.31 |==================================================================== 3 . 20.41 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.96031 |================================================================== 2 . 6.96671 |================================================================== 3 . 6.98731 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 5.93567 |================================================================== 2 . 5.92992 |================================================================== 3 . 5.93542 |================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 25.46 |==================================================================== 2 . 25.35 |==================================================================== 3 . 25.42 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.63122 |================================================================== 2 . 2.62957 |================================================================== 3 . 2.62773 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.80016 |================================================================== 2 . 3.79185 |================================================================== 3 . 3.78904 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 13898.8 |================================================================== 2 . 13707.4 |================================================================= 3 . 13632.5 |================================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3886.86 |================================================================= 2 . 3917.80 |================================================================== 3 . 3817.64 |================================================================ oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 13965.6 |================================================================== 2 . 13883.6 |================================================================== 3 . 13706.6 |================================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3918.54 |================================================================== 2 . 3897.24 |================================================================== 3 . 3912.25 |================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.91617 |================================================================== 2 . 1.89112 |================================================================= 3 . 1.76706 |============================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 14208.1 |================================================================== 2 . 14041.2 |================================================================= 3 . 13829.2 |================================================================ oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3947.67 |================================================================== 2 . 3911.83 |================================================================= 3 . 3928.48 |================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.55988 |================================================================== 2 . 1.55683 |================================================================== 3 . 1.56511 |================================================================== Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 60627667 |================================================================= 2 . 59917000 |================================================================ 3 . 60272667 |================================================================= Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 120953333 |================================================================ 2 . 119076667 |=============================================================== 3 . 120150000 |================================================================ Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 236713333 |================================================================ 2 . 236780000 |================================================================ 3 . 237340000 |================================================================ Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 460310000 |================================================================ 2 . 460586667 |================================================================ 3 . 460676667 |================================================================ Liquid-DSP 2021.01.31 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 835613333 |================================================================ 2 . 835380000 |================================================================ 3 . 836323333 |================================================================ Liquid-DSP 2021.01.31 Threads: 32 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 1477766667 |=============================================================== 2 . 1474633333 |=============================================================== 3 . 1478866667 |=============================================================== Liquid-DSP 2021.01.31 Threads: 64 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 1616966667 |=============================================================== 2 . 1616600000 |=============================================================== 3 . 1614700000 |=============================================================== ASTC Encoder 2.4 Preset: Medium Seconds < Lower Is Better 1 . 5.2065 |=================================================================== 2 . 5.1920 |=================================================================== 3 . 5.2163 |=================================================================== ASTC Encoder 2.4 Preset: Thorough Seconds < Lower Is Better 1 . 6.3944 |=================================================================== 2 . 6.3871 |=================================================================== 3 . 6.4015 |=================================================================== ASTC Encoder 2.4 Preset: Exhaustive Seconds < Lower Is Better 1 . 45.64 |=================================================================== 2 . 46.01 |==================================================================== 3 . 45.71 |==================================================================== Basis Universal 1.13 Settings: ETC1S Seconds < Lower Is Better 1 . 27.43 |==================================================================== 2 . 27.11 |=================================================================== 3 . 27.52 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 7.493 |==================================================================== 2 . 7.477 |==================================================================== 3 . 7.495 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 15.67 |=================================================================== 2 . 15.72 |==================================================================== 3 . 15.79 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 25.06 |==================================================================== 2 . 25.16 |==================================================================== 3 . 25.16 |==================================================================== Mobile Neural Network 1.1.3 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 9.062 |==================================================================== 2 . 8.783 |================================================================== 3 . 8.912 |=================================================================== Mobile Neural Network 1.1.3 Model: resnet-v2-50 ms < Lower Is Better 1 . 38.02 |==================================================================== 2 . 38.15 |==================================================================== 3 . 37.56 |=================================================================== Mobile Neural Network 1.1.3 Model: MobileNetV2_224 ms < Lower Is Better 1 . 5.871 |==================================================================== 2 . 5.910 |==================================================================== 3 . 5.718 |================================================================== Mobile Neural Network 1.1.3 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.310 |==================================================================== 2 . 4.234 |=================================================================== 3 . 4.041 |================================================================ Mobile Neural Network 1.1.3 Model: inception-v3 ms < Lower Is Better 1 . 48.05 |==================================================================== 2 . 48.08 |==================================================================== 3 . 47.21 |=================================================================== Sysbench 1.0.20 Test: RAM / Memory MiB/sec > Higher Is Better 1 . 6791.12 |================================================================== 2 . 6809.31 |================================================================== 3 . 6733.70 |================================================================= Sysbench 1.0.20 Test: CPU Events Per Second > Higher Is Better 1 . 57045.06 |================================================================= 2 . 57054.82 |================================================================= 3 . 57053.00 |=================================================================