new tests may aarch64 Ampere ARMv8 Neoverse-N1 testing with a WIWYNN Mt.Jade (2.03.20210719 SCP: BIOS) and ASPEED on Ubuntu 21.10 via the Phoronix Test Suite. ,,"A","B" Processor,,Ampere ARMv8 Neoverse-N1 @ 3.00GHz (256 Cores),Ampere ARMv8 Neoverse-N1 @ 3.00GHz (256 Cores) Motherboard,,WIWYNN Mt.Jade (2.03.20210719 SCP: BIOS),WIWYNN Mt.Jade (2.03.20210719 SCP: BIOS) Chipset,,Ampere Computing LLC Altra PCI Root Complex A,Ampere Computing LLC Altra PCI Root Complex A Memory,,512GB,512GB Disk,,3841GB Micron_9300_MTFDHAL3T8TDP + 960GB SAMSUNG MZ1LB960HAJQ-00007,3841GB Micron_9300_MTFDHAL3T8TDP + 960GB SAMSUNG MZ1LB960HAJQ-00007 Graphics,,ASPEED,ASPEED Network,,Mellanox MT28908 + Intel I210,Mellanox MT28908 + Intel I210 OS,,Ubuntu 21.10,Ubuntu 21.10 Kernel,,5.13.0-27-generic (aarch64),5.13.0-27-generic (aarch64) Display Server,,X Server,X Server Compiler,,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4 Screen Resolution,,1024x768,1024x768 ,,"A","B" "perf-bench - Benchmark: Epoll Wait (ops/sec)",HIB,1064,1119 "perf-bench - Benchmark: Futex Hash (ops/sec)",HIB,326958,326997 "perf-bench - Benchmark: Memcpy 1MB (GB/sec)",HIB,15.734928,14.680252 "perf-bench - Benchmark: Memset 1MB (GB/sec)",HIB,44.74628,44.742487 "perf-bench - Benchmark: Sched Pipe (ops/sec)",HIB,200009,212491 "perf-bench - Benchmark: Futex Lock-Pi (ops/sec)",HIB,45,46 "perf-bench - Benchmark: Syscall Basic (ops/sec)",HIB,7827961,7850909 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,252.064,252.637 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,163.437,164.675 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,4.641,4.61 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,7.879,7.847 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,6.131,5.958 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,44.2317,43.7346 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,40.815,40.9995 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,106.976,106.213 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,166.896,159.304 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,20.8501,11.5082 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,56.4449,63.1626 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,49.7698,50.9578 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,130.806,163.014 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,89.0685,93.3418 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,36.1944,35.853 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,16357.1,16750.3 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,12883.7,11904 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,18083,14239 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,13539.1,10490.5 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,34.4241,37.9352 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,17223,13968.6 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,11352,12769.6 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,109.234,168.787 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,, "WebP2 Image Encode - Encode Settings: Default (sec)",LIB,3.444,3.423 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (sec)",LIB,161.268,161.48 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (sec)",LIB,318.767,318.017 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (sec)",LIB,5.174,5.178 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (sec)",LIB,625.647,624.943 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,2051.87,1967.43 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,32.37,32.47 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,328915.8,309072.4 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,1422.26,1427.31 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,1,1 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,333734.79,331354.53 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,114773687.93,110879866.19 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,14393.7,13877.64 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,1937964.93,1917001.58 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,1979249.09,1614754.32 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,419.89,393.71 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,65472.66,65456.3 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,18356640.23,18374889.5 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,1198793,1198297.22 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,723548.66,723262.7 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,9674.49,9837.19 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,18596.34,18652.55 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,31806812.55,31522925.81 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,19212257.31,19155740.91 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,2477.96,2482.09 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,2426671.24,2444337.47 "Java JMH - Throughput (Ops/s)",HIB,493572978516.11,480270249798.56 "nginx - Concurrent Requests: 1 (Reqs/sec)",HIB,41813.43,41347.93 "nginx - Concurrent Requests: 20 (Reqs/sec)",HIB,83090.65,82864.74 "nginx - Concurrent Requests: 100 (Reqs/sec)",HIB,68830.2,68559.66 "nginx - Concurrent Requests: 200 (Reqs/sec)",HIB,61794.37,62156.77 "nginx - Concurrent Requests: 500 (Reqs/sec)",HIB,63406.6,63986.76 "nginx - Concurrent Requests: 1000 (Reqs/sec)",HIB,65624.22,65932.64 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,1596,1625 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min)",HIB,4235,5345 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,214,216 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min)",HIB,203,194 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,303,300 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/min)",HIB,516,505 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,40,40 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min)",HIB,38,37 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,239,241 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min)",HIB,229,266 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,3558,3555 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,4242,4276 "Apache HTTP Server - Concurrent Requests: 1 (Reqs/sec)",HIB,6546.58,7614.76 "Apache HTTP Server - Concurrent Requests: 20 (Reqs/sec)",HIB,16782.58,18160.31 "Apache HTTP Server - Concurrent Requests: 100 (Reqs/sec)",HIB,37378.82,36149.79 "Apache HTTP Server - Concurrent Requests: 200 (Reqs/sec)",HIB,45403.03,50848.21 "Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,51287.26,52228.94 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,44329.5,48169.54 "InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,, "InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,, "InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,,