AMD EPYC Turin Linux Kernels
2 x AMD EPYC 9755 128-Core testing with a AMD VOLCANO (RVOT1001B BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2410151-NE-AMDEPYCTU77.
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
High Performance Conjugate Gradient
X Y Z: 144 144 144 - RT: 60
NAMD
Input: STMV with 1,066,628 Atoms
DaCapo Benchmark
Java Test: Jython
DaCapo Benchmark
Java Test: Tradesoap
DaCapo Benchmark
Java Test: Tradebeans
DaCapo Benchmark
Java Test: Apache Kafka
DaCapo Benchmark
Java Test: Apache Lucene Search Index
DaCapo Benchmark
Java Test: Apache Lucene Search Engine
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
Stockfish
Chess Benchmark
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
Timed LLVM Compilation
Build System: Ninja
Hackbench
Count: 16 - Type: Thread
Hackbench
Count: 32 - Type: Thread
Hackbench
Count: 16 - Type: Process
Hackbench
Count: 32 - Type: Process
RabbitMQ
Scenario: 120 Queues, 400 Producers, 400 Consumers
RabbitMQ
Scenario: 120 Queues, 400 Producers, 400 Consumers
RabbitMQ
Scenario: 200 Queues, 400 Producers, 400 Consumers
RabbitMQ
Scenario: 200 Queues, 400 Producers, 400 Consumers
ClickHouse
100M Rows Hits Dataset, First Run / Cold Cache
ClickHouse
100M Rows Hits Dataset, Second Run
ClickHouse
100M Rows Hits Dataset, Third Run
CockroachDB
Workload: KV, 50% Reads - Concurrency: 512
CockroachDB
Workload: KV, 60% Reads - Concurrency: 512
CockroachDB
Workload: KV, 95% Reads - Concurrency: 512
Memcached
Set To Get Ratio: 1:10
Memcached
Set To Get Ratio: 1:100
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
MariaDB mariadb-slap
Clients: 512
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency
Stress-NG
Test: Hash
Stress-NG
Test: MMAP
Stress-NG
Test: NUMA
Stress-NG
Test: Pipe
Stress-NG
Test: Poll
Stress-NG
Test: Zlib
Stress-NG
Test: Futex
Stress-NG
Test: MEMFD
Stress-NG
Test: Mutex
Stress-NG
Test: Atomic
Stress-NG
Test: Malloc
Stress-NG
Test: Cloning
Stress-NG
Test: Forking
Stress-NG
Test: Pthread
Stress-NG
Test: AVL Tree
Stress-NG
Test: IO_uring
Stress-NG
Test: SENDFILE
Stress-NG
Test: CPU Cache
Stress-NG
Test: Power Math
Stress-NG
Test: Semaphores
Stress-NG
Test: Matrix Math
Stress-NG
Test: Vector Math
Stress-NG
Test: AVX-512 VNNI
Stress-NG
Test: Function Call
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: Floating Point
Stress-NG
Test: Matrix 3D Math
Stress-NG
Test: Memory Copying
Stress-NG
Test: Vector Shuffle
Stress-NG
Test: Mixed Scheduler
Stress-NG
Test: Socket Activity
Stress-NG
Test: Exponential Math
Stress-NG
Test: Jpeg Compression
Stress-NG
Test: Logarithmic Math
Stress-NG
Test: Wide Vector Math
Stress-NG
Test: Context Switching
Stress-NG
Test: Fractal Generator
Stress-NG
Test: Radix String Sort
Stress-NG
Test: Fused Multiply-Add
Stress-NG
Test: Trigonometric Math
Stress-NG
Test: Bitonic Integer Sort
Stress-NG
Test: Vector Floating Point
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: System V Message Passing
Apache Cassandra
Test: Writes
RocksDB
Test: Random Read
RocksDB
Test: Update Random
RocksDB
Test: Read While Writing
RocksDB
Test: Read Random Write Random
oneDNN
Harness: IP Shapes 1D - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Engine: CPU
LiteRT
Model: DeepLab V3
LiteRT
Model: SqueezeNet
LiteRT
Model: Inception V4
LiteRT
Model: NASNet Mobile
LiteRT
Model: Mobilenet Float
LiteRT
Model: Mobilenet Quant
LiteRT
Model: Inception ResNet V2
LiteRT
Model: Quantized COCO SSD MobileNet v1
XNNPACK
Model: FP32MobileNetV1
XNNPACK
Model: FP32MobileNetV2
XNNPACK
Model: FP32MobileNetV3Large
XNNPACK
Model: FP32MobileNetV3Small
XNNPACK
Model: FP16MobileNetV1
XNNPACK
Model: FP16MobileNetV2
XNNPACK
Model: FP16MobileNetV3Large
XNNPACK
Model: FP16MobileNetV3Small
XNNPACK
Model: QS8MobileNetV2
Phoronix Test Suite v10.8.5