AMD EPYC Zen 4C Power Efficiency
AMD EPYC Zen 4C power efficiency benchmarks by Michael Larabel for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2401147-NE-AMDEPYCZE24&grs.
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
Llama.cpp
Model: llama-2-70b-chat.Q5_0.gguf
Llama.cpp
Model: llama-2-13b.Q4_0.gguf
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
OpenSSL
Algorithm: ChaCha20
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ACES DGEMM
Sustained Floating-Point Rate
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenSSL
Algorithm: AES-128-GCM
OpenVINO
Model: Person Detection FP16 - Device: CPU
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: RSA4096
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Xmrig
Variant: GhostRider - Hash Count: 1M
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
Xmrig
Variant: Wownero - Hash Count: 1M
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400
Y-Cruncher
Pi Digits To Calculate: 1B
Embree
Binary: Pathtracer ISPC - Model: Crown
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Y-Cruncher
Pi Digits To Calculate: 500M
RocksDB
Test: Random Read
Speedb
Test: Random Read
Blender
Blend File: Barbershop - Compute: CPU-Only
OSPRay
Benchmark: particle_volume/scivis/real_time
OpenSSL
Algorithm: RSA4096
OSPRay
Benchmark: particle_volume/ao/real_time
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Chaos Group V-RAY
Mode: CPU
OpenSSL
Algorithm: SHA512
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
7-Zip Compression
Test: Compression Rating
Blender
Blend File: Fishy Cat - Compute: CPU-Only
OpenSSL
Algorithm: SHA256
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
7-Zip Compression
Test: Decompression Rating
nginx
Connections: 1000
IndigoBench
Acceleration: CPU - Scene: Supercar
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
Blender
Blend File: Classroom - Compute: CPU-Only
IndigoBench
Acceleration: CPU - Scene: Bedroom
nginx
Connections: 500
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
QuantLib
Configuration: Multi-Threaded
Blender
Blend File: BMW27 - Compute: CPU-Only
Timed LLVM Compilation
Build System: Ninja
NAMD
ATPase Simulation - 327,506 Atoms
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Upload
Timed Node.js Compilation
Time To Compile
FFmpeg
Encoder: libx265 - Scenario: Platform
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
Timed Linux Kernel Compilation
Build: allmodconfig
GPAW
Input: Carbon Nanotube
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
Speedb
Test: Read While Writing
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
Timed FFmpeg Compilation
Time To Compile
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
PyTorch
Device: CPU - Batch Size: 256 - Model: ResNet-50
FFmpeg
Encoder: libx265 - Scenario: Live
CloverLeaf
Input: clover_bm16
Xcompact3d Incompact3d
Input: X3D-benchmarking input.i3d
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
RocksDB
Test: Read While Writing
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
x265
Video Input: Bosphorus 4K
Timed LLVM Compilation
Build System: Unix Makefiles
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
CloverLeaf
Input: clover_bm64_short
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Person Detection FP16 - Device: CPU
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
rav1e
Speed: 10
Speedb
Test: Update Random
Timed Linux Kernel Compilation
Build: defconfig
Timed Gem5 Compilation
Time To Compile
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OSPRay
Benchmark: particle_volume/pathtracer/real_time
OpenRadioss
Model: Chrysler Neon 1M
rav1e
Speed: 6
DuckDB
Benchmark: IMDB
Quicksilver
Input: CORAL2 P1
Apache Cassandra
Test: Writes
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Kripke
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
Speedb
Test: Read Random Write Random
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Quicksilver
Input: CTS2
DuckDB
Benchmark: TPC-H Parquet
CPU Power Consumption Monitor
Phoronix Test Suite System Monitoring
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: GhostRider - Hash Count: 1M
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: KawPow - Hash Count: 1M
Xmrig
Variant: KawPow - Hash Count: 1M
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: CryptoNight-Heavy - Hash Count: 1M
Xmrig
Variant: CryptoNight-Heavy - Hash Count: 1M
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
Xmrig
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: Wownero - Hash Count: 1M
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: Monero - Hash Count: 1M
Xmrig
Variant: Monero - Hash Count: 1M
PyTorch
CPU Power Consumption Monitor
PyTorch
Device: CPU - Batch Size: 256 - Model: ResNet-50
PyTorch
CPU Power Consumption Monitor
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
TensorFlow
CPU Power Consumption Monitor
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
Llama.cpp
CPU Power Consumption Monitor
Llama.cpp
Model: llama-2-70b-chat.Q5_0.gguf
Llama.cpp
CPU Power Consumption Monitor
Llama.cpp
Model: llama-2-13b.Q4_0.gguf
Llama.cpp
CPU Power Consumption Monitor
Llama.cpp
Model: llama-2-7b.Q4_0.gguf
Llama.cpp
Model: llama-2-7b.Q4_0.gguf
VVenC
CPU Power Consumption Monitor
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
uvg266
CPU Power Consumption Monitor
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
uvg266
CPU Power Consumption Monitor
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
uvg266
CPU Power Consumption Monitor
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
x265
CPU Power Consumption Monitor
x265
Video Input: Bosphorus 4K
rav1e
CPU Power Consumption Monitor
rav1e
Speed: 6
rav1e
CPU Power Consumption Monitor
rav1e
Speed: 10
SVT-AV1
CPU Power Consumption Monitor
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
SVT-AV1
CPU Power Consumption Monitor
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
CPU Power Consumption Monitor
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
FFmpeg
CPU Power Consumption Monitor
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
CPU Power Consumption Monitor
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
CPU Power Consumption Monitor
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
CPU Power Consumption Monitor
FFmpeg
Encoder: libx265 - Scenario: Live
IndigoBench
CPU Power Consumption Monitor
IndigoBench
Acceleration: CPU - Scene: Bedroom
IndigoBench
CPU Power Consumption Monitor
IndigoBench
Acceleration: CPU - Scene: Supercar
Chaos Group V-RAY
CPU Power Consumption Monitor
Chaos Group V-RAY
Mode: CPU
OSPRay
CPU Power Consumption Monitor
OSPRay
Benchmark: particle_volume/pathtracer/real_time
OSPRay
CPU Power Consumption Monitor
OSPRay
Benchmark: particle_volume/scivis/real_time
OSPRay
CPU Power Consumption Monitor
OSPRay
Benchmark: particle_volume/ao/real_time
OSPRay
CPU Power Consumption Monitor
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay
CPU Power Consumption Monitor
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
OSPRay
CPU Power Consumption Monitor
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
Intel Open Image Denoise
CPU Power Consumption Monitor
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Blender
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
ACES DGEMM
CPU Power Consumption Monitor
ACES DGEMM
Sustained Floating-Point Rate
Y-Cruncher
CPU Power Consumption Monitor
Y-Cruncher
CPU Power Consumption Monitor
Quicksilver
CPU Power Consumption Monitor
Quicksilver
Input: CTS2
Quicksilver
CPU Power Consumption Monitor
Quicksilver
Input: CORAL2 P1
NAMD
CPU Power Consumption Monitor
Xcompact3d Incompact3d
CPU Power Consumption Monitor
Xcompact3d Incompact3d
CPU Power Consumption Monitor
Kripke
CPU Power Consumption Monitor
Kripke
CloverLeaf
CPU Power Consumption Monitor
CloverLeaf
CPU Power Consumption Monitor
LAMMPS Molecular Dynamics Simulator
CPU Power Consumption Monitor
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
GPAW
CPU Power Consumption Monitor
easyWave
CPU Power Consumption Monitor
easyWave
CPU Power Consumption Monitor
miniBUDE
CPU Power Consumption Monitor
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
CPU Power Consumption Monitor
miniBUDE
Implementation: OpenMP - Input Deck: BM1
OpenRadioss
CPU Power Consumption Monitor
OpenFOAM
CPU Power Consumption Monitor
OpenFOAM
CPU Power Consumption Monitor
QuantLib
CPU Power Consumption Monitor
QuantLib
Configuration: Multi-Threaded
Timed FFmpeg Compilation
CPU Power Consumption Monitor
Timed Gem5 Compilation
CPU Power Consumption Monitor
Timed Node.js Compilation
CPU Power Consumption Monitor
Timed LLVM Compilation
CPU Power Consumption Monitor
Timed LLVM Compilation
CPU Power Consumption Monitor
Timed Linux Kernel Compilation
CPU Power Consumption Monitor
Timed Linux Kernel Compilation
CPU Power Consumption Monitor
7-Zip Compression
CPU Power Consumption Monitor
7-Zip Compression
Test: Decompression Rating
Redis 7.0.12 + memtier_benchmark
CPU Power Consumption Monitor
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
Redis 7.0.12 + memtier_benchmark
CPU Power Consumption Monitor
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
RocksDB
CPU Power Consumption Monitor
RocksDB
Test: Read While Writing
RocksDB
CPU Power Consumption Monitor
RocksDB
Test: Random Read
Speedb
CPU Power Consumption Monitor
Speedb
Test: Update Random
Speedb
CPU Power Consumption Monitor
Speedb
Test: Read Random Write Random
Speedb
CPU Power Consumption Monitor
Speedb
Test: Read While Writing
Speedb
CPU Power Consumption Monitor
Speedb
Test: Random Read
Apache Cassandra
CPU Power Consumption Monitor
Apache Cassandra
Test: Writes
DuckDB
CPU Power Consumption Monitor
DuckDB
CPU Power Consumption Monitor
Apache IoTDB
CPU Power Consumption Monitor
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: ChaCha20
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: SHA512
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: SHA256
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: RSA4096
nginx
CPU Power Consumption Monitor
nginx
Connections: 1000
nginx
CPU Power Consumption Monitor
nginx
Connections: 500
Phoronix Test Suite v10.8.5