eMAG ARMv8 Cortex-A72 testing with a SolidRun CEX7 (EDK II BIOS) and MSI NVIDIA GeForce GT 1030 on Fedora 33 via the Phoronix Test Suite. 1: Processor: Ampere eMAG ARMv8 @ 3.00GHz (32 Cores), Motherboard: AmpereComputing OSPREY (4.8.19 BIOS), Chipset: Applied Micro Circuits X-Gene, Memory: 126GB, Disk: 256GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: Intel I210 OS: Ubuntu 20.04, Kernel: 5.7.0-050700-generic (aarch64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Ampere eMAG ARMv8 @ 3.00GHz (32 Cores), Motherboard: AmpereComputing OSPREY (4.8.19 BIOS), Chipset: Applied Micro Circuits X-Gene, Memory: 126GB, Disk: 256GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: Intel I210 OS: Ubuntu 20.04, Kernel: 5.7.0-050700-generic (aarch64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Ampere eMAG ARMv8 @ 3.00GHz (32 Cores), Motherboard: AmpereComputing OSPREY (4.8.19 BIOS), Chipset: Applied Micro Circuits X-Gene, Memory: 126GB, Disk: 256GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: Intel I210 OS: Ubuntu 20.04, Kernel: 5.7.0-050700-generic (aarch64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 4: Processor: Ampere eMAG ARMv8 @ 3.00GHz (32 Cores), Motherboard: AmpereComputing OSPREY (4.8.19 BIOS), Chipset: Applied Micro Circuits X-Gene, Memory: 126GB, Disk: 256GB Samsung SSD 860, Graphics: ASPEED, Monitor: VE228, Network: Intel I210 OS: Ubuntu 20.04, Kernel: 5.7.0-050700-generic (aarch64), Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 HoneyComb LX2K: Processor: ARMv8 Cortex-A72 (16 Cores), Motherboard: SolidRun CEX7 (EDK II BIOS), Memory: 32GB, Disk: 128GB Generic + 8GB SL08G + 63GB DF4064, Graphics: MSI NVIDIA GeForce GT 1030, Audio: NVIDIA GP108 HD Audio OS: Fedora 33, Kernel: 5.10.10-00042-gbfa806f5daa5-dirty (aarch64), Display Server: X Server 1.20.10, Compiler: GCC 10.2.1 20201125 + Clang 11.0.0 + CUDA 11.2, File-System: btrfs CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 .............. 7.1 |======================================================== 2 .............. 7.2 |========================================================= 3 .............. 7.0 |======================================================= 4 .............. 7.2 |========================================================= HoneyComb LX2K . 1.6 |============= Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 .............. 35.64 |====================================================== 2 .............. 35.34 |===================================================== 3 .............. 36.36 |======================================================= 4 .............. 36.00 |====================================================== HoneyComb LX2K . 25.17 |====================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better 1 .............. 0.48 |============================================ 2 .............. 0.48 |============================================ 3 .............. 0.48 |============================================ 4 .............. 0.48 |============================================ HoneyComb LX2K . 0.61 |======================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better 1 .............. 0.23 |============================================== 2 .............. 0.23 |============================================== 3 .............. 0.23 |============================================== 4 .............. 0.23 |============================================== HoneyComb LX2K . 0.28 |======================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better 1 .............. 0.55 |============================================ 2 .............. 0.55 |============================================ 3 .............. 0.55 |============================================ 4 .............. 0.55 |============================================ HoneyComb LX2K . 0.70 |======================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 .............. 0.56 |============================================ 2 .............. 0.56 |============================================ 3 .............. 0.56 |============================================ 4 .............. 0.57 |============================================= HoneyComb LX2K . 0.71 |======================================================== TSCP 1.81 AI Chess Performance Nodes Per Second > Higher Is Better 1 .............. 515903 |====================================================== 2 .............. 515903 |====================================================== 3 .............. 515710 |====================================================== 4 .............. 515709 |====================================================== HoneyComb LX2K . 510928 |===================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 .............. 29.01 |============================== 2 .............. 33.22 |================================== 3 .............. 32.28 |================================= 4 .............. 30.89 |================================ HoneyComb LX2K . 53.32 |======================================================= oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 .............. 23.68 |===================================================== 2 .............. 22.80 |=================================================== 3 .............. 22.85 |=================================================== 4 .............. 24.45 |======================================================= HoneyComb LX2K . 21.51 |================================================ oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 .............. 183.92 |====================================================== 2 .............. 184.88 |====================================================== 3 .............. 183.39 |====================================================== 4 .............. 183.14 |===================================================== HoneyComb LX2K . 129.05 |====================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 .............. 418.33 |===================================================== 2 .............. 421.22 |====================================================== 3 .............. 424.64 |====================================================== 4 .............. 419.39 |===================================================== HoneyComb LX2K . 97.14 |============ oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 .............. 93.47 |========================================= 2 .............. 98.28 |=========================================== 3 .............. 76.35 |================================== 4 .............. 84.37 |===================================== HoneyComb LX2K . 122.32 |====================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 .............. 191.84 |================= 2 .............. 194.62 |================= 3 .............. 173.54 |=============== 4 .............. 173.05 |=============== HoneyComb LX2K . 620.76 |====================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 .............. 60.37 |============================ 2 .............. 63.42 |============================= 3 .............. 55.94 |========================== 4 .............. 59.78 |=========================== HoneyComb LX2K . 118.21 |====================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 .............. 113.02 |================================ 2 .............. 112.31 |================================ 3 .............. 112.55 |================================ 4 .............. 112.92 |================================ HoneyComb LX2K . 192.12 |====================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 .............. 184.80 |============================================= 2 .............. 185.97 |============================================== 3 .............. 185.16 |============================================= 4 .............. 183.15 |============================================= HoneyComb LX2K . 220.11 |====================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 .............. 114.07 |=============================== 2 .............. 113.51 |=============================== 3 .............. 113.11 |=============================== 4 .............. 112.61 |=============================== HoneyComb LX2K . 196.13 |====================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 .............. 31838.2 |======================= 2 .............. 30600.5 |====================== 3 .............. 31978.2 |======================= 4 .............. 30770.0 |====================== HoneyComb LX2K . 74820.5 |===================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 .............. 17700.4 |======================== 2 .............. 17313.5 |======================== 3 .............. 16864.3 |======================= HoneyComb LX2K . 38360.1 |===================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 .............. 30113.8 |===================== 2 .............. 30971.0 |====================== 3 .............. 30446.5 |====================== HoneyComb LX2K . 74589.3 |===================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 .............. 16255.9 |======================= 2 .............. 16777.0 |======================= 3 .............. 16436.8 |======================= HoneyComb LX2K . 38077.3 |===================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 .............. 19.82 |========================================== 2 .............. 21.01 |============================================ 3 .............. 20.48 |=========================================== HoneyComb LX2K . 26.15 |======================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 .............. 29827.8 |===================== 2 .............. 31520.3 |====================== 3 .............. 30673.7 |====================== HoneyComb LX2K . 74962.7 |===================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 .............. 17140.1 |======================== 2 .............. 16556.7 |======================= 3 .............. 17065.5 |======================== HoneyComb LX2K . 38288.2 |===================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 .............. 36.61 |============================================ 2 .............. 38.37 |============================================== 3 .............. 38.49 |============================================== HoneyComb LX2K . 46.01 |======================================================= rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better 1 .............. 0.084 |======================================================= 2 .............. 0.084 |======================================================= 3 .............. 0.084 |======================================================= HoneyComb LX2K . 0.081 |===================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 .............. 0.188 |======================================================= 2 .............. 0.187 |======================================================= 3 .............. 0.187 |======================================================= HoneyComb LX2K . 0.186 |====================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 .............. 0.223 |======================================================= 2 .............. 0.221 |====================================================== 3 .............. 0.222 |======================================================= HoneyComb LX2K . 0.224 |======================================================= rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 .............. 0.425 |===================================================== 2 .............. 0.419 |==================================================== 3 .............. 0.420 |==================================================== HoneyComb LX2K . 0.445 |======================================================= x264 2019-12-17 H.264 Video Encoding Frames Per Second > Higher Is Better 1 .............. 32.13 |===================================================== 2 .............. 32.67 |====================================================== 3 .............. 32.78 |====================================================== HoneyComb LX2K . 33.56 |======================================================= Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 .............. 385397.37 |=================================================== 2 .............. 385035.21 |=================================================== 3 .............. 385080.51 |=================================================== HoneyComb LX2K . 193571.81 |========================== Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 .............. 15691469 |==================================================== 2 .............. 15417127 |=================================================== 3 .............. 15617607 |==================================================== HoneyComb LX2K . 9514457 |================================ asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 .............. 33037962 |==================================================== 2 .............. 33135767 |==================================================== HoneyComb LX2K . 16459128 |========================== libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better 1 .............. 404.74 |============================================= 2 .............. 403.85 |============================================= HoneyComb LX2K . 485.91 |====================================================== libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better 1 .............. 250.17 |============================================ 2 .............. 250.71 |============================================ HoneyComb LX2K . 310.03 |====================================================== libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better 1 .............. 22.30 |================================================== 2 .............. 22.33 |================================================== HoneyComb LX2K . 24.46 |======================================================= libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better 1 .............. 21.88 |==================================================== 2 .............. 21.83 |==================================================== HoneyComb LX2K . 23.18 |======================================================= Numpy Benchmark Score > Higher Is Better 1 .............. 91.65 |==================================================== 2 .............. 91.86 |==================================================== HoneyComb LX2K . 97.09 |======================================================= Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 .............. 357.47 |====================================================== 2 .............. 357.14 |====================================================== HoneyComb LX2K . 315.90 |================================================ Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 .............. 96.13 |======================================================= 2 .............. 39.92 |======================= HoneyComb LX2K . 37.00 |===================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 .............. 48.31 |======================================================= 2 .............. 48.27 |======================================================= HoneyComb LX2K . 37.74 |=========================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 .............. 87.83 |======================================================= 2 .............. 84.90 |===================================================== HoneyComb LX2K . 84.43 |=====================================================