9575F smoke
AMD EPYC 9575F 64-Core testing with a Supermicro Super Server H13SSL-N v1.01 (3.0 BIOS) and ASPEED on Ubuntu 24.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2411289-NE-9575FSMOK66&rdt&grt.
ACES DGEMM
Sustained Floating-Point Rate
Apache Cassandra
Test: Writes
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
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
Laghos
Test: Triple Point Problem
Laghos
Test: Sedov Blast Wave, ube_922_hex.mesh
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
NAMD
Input: ATPase with 327,506 Atoms
NAMD
Input: STMV with 1,066,628 Atoms
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
OpenVINO
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Person Re-Identification Retail FP16 - Device: CPU
OpenVINO
Model: Person Re-Identification Retail FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
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: TinyLlama-1.1B-Chat-v1.0 - Device: CPU
OpenVINO GenAI
Model: TinyLlama-1.1B-Chat-v1.0 - Device: CPU - Time To First Token
OpenVINO GenAI
Model: TinyLlama-1.1B-Chat-v1.0 - 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
Palabos
Grid Size: 100
Palabos
Grid Size: 400
Palabos
Grid Size: 500
Primesieve
Length: 1e12
Primesieve
Length: 1e13
SVT-AV1
Encoder Mode: Preset 3 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 5 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 3 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 5 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Timed Eigen Compilation
Time To Compile
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