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&gru.
CPU Power Consumption Monitor
Phoronix Test Suite System Monitoring
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 256 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 256 - Model: ResNet-50
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM2
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: SHA512
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: SHA512
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
Algorithm: ChaCha20-Poly1305
Quicksilver
Input: CORAL2 P1
Quicksilver
Input: CTS2
Quicksilver
Input: CORAL2 P1
Quicksilver
Input: CTS2
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Platform
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Embree
Binary: Pathtracer ISPC - Model: Crown
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
rav1e
Speed: 10
rav1e
Speed: 6
rav1e
Speed: 10
rav1e
Speed: 6
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 4K
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Crown
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM2
ACES DGEMM
Sustained Floating-Point Rate
ACES DGEMM
Sustained Floating-Point Rate
Xmrig
Variant: GhostRider - Hash Count: 1M
Xmrig
Variant: Monero - Hash Count: 1M
Xmrig
Variant: Wownero - Hash Count: 1M
Xmrig
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
Xmrig
Variant: CryptoNight-Heavy - Hash Count: 1M
Xmrig
Variant: GhostRider - Hash Count: 1M
Xmrig
Variant: Monero - Hash Count: 1M
Xmrig
Variant: Wownero - Hash Count: 1M
Xmrig
Variant: CryptoNight-Femto UPX2 - Hash Count: 1M
Xmrig
Variant: CryptoNight-Heavy - Hash Count: 1M
Xmrig
Variant: KawPow - Hash Count: 1M
Xmrig
Variant: KawPow - Hash Count: 1M
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
OSPRay
Benchmark: particle_volume/ao/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay
Benchmark: particle_volume/scivis/real_time
OSPRay
Benchmark: particle_volume/pathtracer/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay
Benchmark: particle_volume/ao/real_time
OSPRay
Benchmark: particle_volume/scivis/real_time
OSPRay
Benchmark: particle_volume/pathtracer/real_time
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
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
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: ResNet-50, Baseline - 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 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
IndigoBench
Acceleration: CPU - Scene: Bedroom
IndigoBench
Acceleration: CPU - Scene: Supercar
IndigoBench
Acceleration: CPU - Scene: Supercar
IndigoBench
Acceleration: CPU - Scene: Bedroom
QuantLib
Configuration: Multi-Threaded
QuantLib
Configuration: Multi-Threaded
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
Apache Cassandra
Test: Writes
Speedb
Test: Random Read
Apache Cassandra
Test: Writes
Speedb
Test: Random Read
Speedb
Test: Read While Writing
Speedb
Test: Read Random Write Random
Speedb
Test: Update Random
RocksDB
Test: Random Read
Speedb
Test: Read While Writing
Speedb
Test: Read Random Write Random
Speedb
Test: Update Random
RocksDB
Test: Random Read
RocksDB
Test: Read While Writing
RocksDB
Test: Read While Writing
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
Redis 7.0.12 + memtier_benchmark
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
nginx
Connections: 1000
nginx
Connections: 500
nginx
Connections: 500
nginx
Connections: 1000
OpenSSL
Algorithm: RSA4096
Kripke
Kripke
Llama.cpp
Model: llama-2-13b.Q4_0.gguf
Llama.cpp
Model: llama-2-7b.Q4_0.gguf
Llama.cpp
Model: llama-2-13b.Q4_0.gguf
Llama.cpp
Model: llama-2-70b-chat.Q5_0.gguf
Llama.cpp
Model: llama-2-70b-chat.Q5_0.gguf
Llama.cpp
Model: llama-2-7b.Q4_0.gguf
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
Chaos Group V-RAY
Mode: CPU
Chaos Group V-RAY
Mode: CPU
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
NAMD
ATPase Simulation - 327,506 Atoms
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
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
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: ResNet-50, Baseline - 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 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
DuckDB
Benchmark: IMDB
DuckDB
Benchmark: TPC-H Parquet
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
Timed LLVM Compilation
Build System: Ninja
Timed LLVM Compilation
Build System: Unix Makefiles
Timed Node.js Compilation
Time To Compile
Timed Gem5 Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenRadioss
Model: Chrysler Neon 1M
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400
GPAW
Input: Carbon Nanotube
CloverLeaf
Input: clover_bm64_short
CloverLeaf
Input: clover_bm16
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
Xcompact3d Incompact3d
Input: X3D-benchmarking input.i3d
Y-Cruncher
Pi Digits To Calculate: 500M
Y-Cruncher
Pi Digits To Calculate: 1B
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
nginx
CPU Power Consumption Monitor
nginx
CPU Power Consumption Monitor
OpenSSL
CPU Power Consumption Monitor
OpenSSL
CPU Power Consumption Monitor
OpenSSL
CPU Power Consumption Monitor
OpenSSL
CPU Power Consumption Monitor
OpenSSL
CPU Power Consumption Monitor
OpenSSL
CPU Power Consumption Monitor
OpenSSL
CPU Power Consumption Monitor
Apache IoTDB
CPU Power Consumption Monitor
DuckDB
CPU Power Consumption Monitor
DuckDB
CPU Power Consumption Monitor
Apache Cassandra
CPU Power Consumption Monitor
Speedb
CPU Power Consumption Monitor
Speedb
CPU Power Consumption Monitor
Speedb
CPU Power Consumption Monitor
Speedb
CPU Power Consumption Monitor
RocksDB
CPU Power Consumption Monitor
RocksDB
CPU Power Consumption Monitor
Redis 7.0.12 + memtier_benchmark
CPU Power Consumption Monitor
Redis 7.0.12 + memtier_benchmark
CPU Power Consumption Monitor
7-Zip Compression
CPU Power Consumption Monitor
Timed Linux Kernel Compilation
CPU Power Consumption Monitor
Timed Linux Kernel Compilation
CPU Power Consumption Monitor
Timed LLVM Compilation
CPU Power Consumption Monitor
Timed LLVM Compilation
CPU Power Consumption Monitor
Timed Node.js Compilation
CPU Power Consumption Monitor
Timed Gem5 Compilation
CPU Power Consumption Monitor
Timed FFmpeg Compilation
CPU Power Consumption Monitor
QuantLib
CPU Power Consumption Monitor
OpenFOAM
CPU Power Consumption Monitor
OpenFOAM
CPU Power Consumption Monitor
OpenRadioss
CPU Power Consumption Monitor
miniBUDE
CPU Power Consumption Monitor
miniBUDE
CPU Power Consumption Monitor
easyWave
CPU Power Consumption Monitor
easyWave
CPU Power Consumption Monitor
GPAW
CPU Power Consumption Monitor
LAMMPS Molecular Dynamics Simulator
CPU Power Consumption Monitor
CloverLeaf
CPU Power Consumption Monitor
CloverLeaf
CPU Power Consumption Monitor
Kripke
CPU Power Consumption Monitor
Xcompact3d Incompact3d
CPU Power Consumption Monitor
Xcompact3d Incompact3d
CPU Power Consumption Monitor
NAMD
CPU Power Consumption Monitor
Quicksilver
CPU Power Consumption Monitor
Quicksilver
CPU Power Consumption Monitor
Y-Cruncher
CPU Power Consumption Monitor
Y-Cruncher
CPU Power Consumption Monitor
ACES DGEMM
CPU Power Consumption Monitor
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
Embree
CPU Power Consumption Monitor
Embree
CPU Power Consumption Monitor
Intel Open Image Denoise
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
OSPRay Studio
CPU Power Consumption Monitor
OSPRay
CPU Power Consumption Monitor
OSPRay
CPU Power Consumption Monitor
OSPRay
CPU Power Consumption Monitor
OSPRay
CPU Power Consumption Monitor
OSPRay
CPU Power Consumption Monitor
OSPRay
CPU Power Consumption Monitor
Chaos Group V-RAY
CPU Power Consumption Monitor
IndigoBench
CPU Power Consumption Monitor
IndigoBench
CPU Power Consumption Monitor
FFmpeg
CPU Power Consumption Monitor
FFmpeg
CPU Power Consumption Monitor
FFmpeg
CPU Power Consumption Monitor
FFmpeg
CPU Power Consumption Monitor
SVT-AV1
CPU Power Consumption Monitor
SVT-AV1
CPU Power Consumption Monitor
SVT-AV1
CPU Power Consumption Monitor
rav1e
CPU Power Consumption Monitor
rav1e
CPU Power Consumption Monitor
x265
CPU Power Consumption Monitor
uvg266
CPU Power Consumption Monitor
uvg266
CPU Power Consumption Monitor
uvg266
CPU Power Consumption Monitor
VVenC
CPU Power Consumption Monitor
Llama.cpp
CPU Power Consumption Monitor
Llama.cpp
CPU Power Consumption Monitor
Llama.cpp
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
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
TensorFlow
CPU Power Consumption Monitor
PyTorch
CPU Power Consumption Monitor
PyTorch
CPU Power Consumption Monitor
Xmrig
CPU Power Consumption Monitor
Xmrig
CPU Power Consumption Monitor
Xmrig
CPU Power Consumption Monitor
Xmrig
CPU Power Consumption Monitor
Xmrig
CPU Power Consumption Monitor
Xmrig
CPU Power Consumption Monitor
Phoronix Test Suite v10.8.4