eoy2024

AMD EPYC 4564P 16-Core testing with a Supermicro AS-3015A-I H13SAE-MF v1.00 (2.1 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2412061-NE-EOY20243073&grt&sor.

7-Zip Compression

Test: Compression Rating

7-Zip Compression

Test: Decompression Rating

ACES DGEMM

Sustained Floating-Point Rate

Apache Cassandra

Test: Writes

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 30

Apache CouchDB

Bulk Size: 100 - Inserts: 3000 - Rounds: 30

Apache CouchDB

Bulk Size: 300 - Inserts: 1000 - Rounds: 30

Apache CouchDB

Bulk Size: 300 - Inserts: 3000 - Rounds: 30

Apache CouchDB

Bulk Size: 500 - Inserts: 1000 - Rounds: 30

Apache CouchDB

Bulk Size: 500 - Inserts: 3000 - Rounds: 30

ASTC Encoder

Preset: Fast

ASTC Encoder

Preset: Medium

ASTC Encoder

Preset: Thorough

ASTC Encoder

Preset: Exhaustive

ASTC Encoder

Preset: Very Thorough

Blender

Blend File: BMW27 - Compute: CPU-Only

Blender

Blend File: Junkshop - Compute: CPU-Only

Blender

Blend File: Classroom - Compute: CPU-Only

Blender

Blend File: Fishy Cat - Compute: CPU-Only

Blender

Blend File: Barbershop - Compute: CPU-Only

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

Build2

Time To Compile

BYTE Unix Benchmark

Computational Test: Pipe

BYTE Unix Benchmark

Computational Test: Dhrystone 2

BYTE Unix Benchmark

Computational Test: System Call

BYTE Unix Benchmark

Computational Test: Whetstone Double

CP2K Molecular Dynamics

Input: H20-64

CP2K Molecular Dynamics

Input: H20-256

CP2K Molecular Dynamics

Input: Fayalite-FIST

Etcpak

Benchmark: Multi-Threaded - Configuration: ETC2

FinanceBench

Benchmark: Repo OpenMP

FinanceBench

Benchmark: Bonds OpenMP

Gcrypt Library

GROMACS

Input: water_GMX50_bare

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

Llama.cpp

Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Text Generation 128

Llama.cpp

Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 512

Llama.cpp

Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 1024

Llama.cpp

Backend: CPU BLAS - Model: Llama-3.1-Tulu-3-8B-Q8_0 - Test: Prompt Processing 2048

Llama.cpp

Backend: CPU BLAS - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Text Generation 128

Llama.cpp

Backend: CPU BLAS - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 512

Llama.cpp

Backend: CPU BLAS - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 1024

Llama.cpp

Backend: CPU BLAS - Model: Mistral-7B-Instruct-v0.3-Q8_0 - Test: Prompt Processing 2048

Llama.cpp

Backend: CPU BLAS - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Text Generation 128

Llama.cpp

Backend: CPU BLAS - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 512

Llama.cpp

Backend: CPU BLAS - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 1024

Llama.cpp

Backend: CPU BLAS - Model: granite-3.0-3b-a800m-instruct-Q8_0 - Test: Prompt Processing 2048

Llamafile

Model: Llama-3.2-3B-Instruct.Q6_K - Test: Text Generation 16

Llamafile

Model: Llama-3.2-3B-Instruct.Q6_K - Test: Text Generation 128

Llamafile

Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 256

Llamafile

Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 512

Llamafile

Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Text Generation 16

Llamafile

Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 1024

Llamafile

Model: Llama-3.2-3B-Instruct.Q6_K - Test: Prompt Processing 2048

Llamafile

Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Text Generation 128

Llamafile

Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Text Generation 16

Llamafile

Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 256

Llamafile

Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 512

Llamafile

Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Text Generation 128

Llamafile

Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Text Generation 16

Llamafile

Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 1024

Llamafile

Model: TinyLlama-1.1B-Chat-v1.0.BF16 - Test: Prompt Processing 2048

Llamafile

Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Text Generation 128

Llamafile

Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 256

Llamafile

Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 512

Llamafile

Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 1024

Llamafile

Model: mistral-7b-instruct-v0.2.Q5_K_M - Test: Prompt Processing 2048

Llamafile

Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 256

Llamafile

Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 512

Llamafile

Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 1024

Llamafile

Model: wizardcoder-python-34b-v1.0.Q6_K - Test: Prompt Processing 2048

NAMD

Input: ATPase with 327,506 Atoms

NAMD

Input: STMV with 1,066,628 Atoms

Numpy Benchmark

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

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ZFNet-512 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ZFNet-512 - Device: CPU - Executor: Standard

ONNX Runtime

Model: T5 Encoder - Device: CPU - Executor: Standard

ONNX Runtime

Model: T5 Encoder - Device: CPU - Executor: Standard

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

OpenSSL

Algorithm: ChaCha20

OpenSSL

Algorithm: AES-128-GCM

OpenSSL

Algorithm: AES-256-GCM

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenVINO GenAI

Model: Gemma-7b-int4-ov - Device: CPU

OpenVINO GenAI

Model: Gemma-7b-int4-ov - Device: CPU - Time To First Token

OpenVINO GenAI

Model: Gemma-7b-int4-ov - Device: CPU - Time Per Output Token

OpenVINO GenAI

Model: Falcon-7b-instruct-int4-ov - Device: CPU

OpenVINO GenAI

Model: Falcon-7b-instruct-int4-ov - Device: CPU - Time To First Token

OpenVINO GenAI

Model: Falcon-7b-instruct-int4-ov - Device: CPU - Time Per Output Token

OpenVINO GenAI

Model: Phi-3-mini-128k-instruct-int4-ov - Device: CPU

OpenVINO GenAI

Model: Phi-3-mini-128k-instruct-int4-ov - Device: CPU - Time To First Token

OpenVINO GenAI

Model: Phi-3-mini-128k-instruct-int4-ov - Device: CPU - Time Per Output Token

OSPRay

Benchmark: particle_volume/ao/real_time

OSPRay

Benchmark: particle_volume/scivis/real_time

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

POV-Ray

Trace Time

Primesieve

Length: 1e12

Primesieve

Length: 1e13

PyPerformance

Benchmark: go

PyPerformance

Benchmark: chaos

PyPerformance

Benchmark: float

PyPerformance

Benchmark: nbody

PyPerformance

Benchmark: pathlib

PyPerformance

Benchmark: raytrace

PyPerformance

Benchmark: xml_etree

PyPerformance

Benchmark: gc_collect

PyPerformance

Benchmark: json_loads

PyPerformance

Benchmark: crypto_pyaes

PyPerformance

Benchmark: async_tree_io

PyPerformance

Benchmark: regex_compile

PyPerformance

Benchmark: python_startup

PyPerformance

Benchmark: asyncio_tcp_ssl

PyPerformance

Benchmark: django_template

PyPerformance

Benchmark: asyncio_websockets

PyPerformance

Benchmark: pickle_pure_python

QuantLib

Size: S

QuantLib

Size: XXS

RELION

Test: Basic - Device: CPU