AMD EPYC 9554 EPYC 9654 Benchmarks Genoa
Benchmarks for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2211102-PTS-GENOAEXT88&sor&grt.
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
Apache HBase
Rows: 10000 - Test: Scan - Clients: 1
Apache HBase
Rows: 1000000 - Test: Scan - Clients: 1
Apache HBase
Rows: 1000000 - Test: Scan - Clients: 256
Apache HBase
Rows: 10000 - Test: Increment - Clients: 1
Apache HBase
Rows: 10000 - Test: Increment - Clients: 1
Apache HBase
Rows: 10000 - Test: Increment - Clients: 256
Apache HBase
Rows: 10000 - Test: Increment - Clients: 256
Apache HBase
Rows: 10000 - Test: Increment - Clients: 500
Apache HBase
Rows: 10000 - Test: Increment - Clients: 500
Apache HBase
Rows: 10000 - Test: Random Read - Clients: 1
Apache HBase
Rows: 10000 - Test: Random Read - Clients: 1
Apache HBase
Rows: 1000000 - Test: Increment - Clients: 1
Apache HBase
Rows: 1000000 - Test: Increment - Clients: 1
Apache HBase
Rows: 10000 - Test: Random Write - Clients: 1
Apache HBase
Rows: 10000 - Test: Random Write - Clients: 1
Apache HBase
Rows: 10000 - Test: Random Read - Clients: 256
Apache HBase
Rows: 10000 - Test: Random Read - Clients: 256
Apache HBase
Rows: 10000 - Test: Random Read - Clients: 500
Apache HBase
Rows: 10000 - Test: Random Read - Clients: 500
Apache HBase
Rows: 1000000 - Test: Increment - Clients: 256
Apache HBase
Rows: 1000000 - Test: Increment - Clients: 256
Apache HBase
Rows: 1000000 - Test: Increment - Clients: 500
Apache HBase
Rows: 1000000 - Test: Random Read - Clients: 1
Apache HBase
Rows: 1000000 - Test: Random Read - Clients: 1
Apache HBase
Rows: 10000 - Test: Random Write - Clients: 256
Apache HBase
Rows: 1000000 - Test: Increment - Clients: 500
Apache HBase
Rows: 10000 - Test: Random Write - Clients: 256
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: Barbershop - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
ClickHouse
100M Rows Web Analytics Dataset, First Run / Cold Cache
ClickHouse
100M Rows Web Analytics Dataset, Second Run
ClickHouse
100M Rows Web Analytics Dataset, Third Run
Cpuminer-Opt
Algorithm: scrypt
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
Cpuminer-Opt
Algorithm: Myriad-Groestl
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: Blake-2 S
Cpuminer-Opt
Algorithm: x25x
Cpuminer-Opt
Algorithm: Garlicoin
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: Deepcoin
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Upload
FFmpeg
Encoder: libx264 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 500
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 500
JPEG XL Decoding libjxl
CPU Threads: 1
JPEG XL Decoding libjxl
CPU Threads: All
JPEG XL libjxl
Input: PNG - Quality: 80
JPEG XL libjxl
Input: PNG - Quality: 90
JPEG XL libjxl
Input: JPEG - Quality: 80
JPEG XL libjxl
Input: JPEG - Quality: 90
JPEG XL libjxl
Input: PNG - Quality: 100
JPEG XL libjxl
Input: JPEG - Quality: 100
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 6
libavif avifenc
Encoder Speed: 6, Lossless
libavif avifenc
Encoder Speed: 10, Lossless
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenFOAM
Input: motorBike - Execution Time
OpenRadioss
Model: Bumper Beam
OpenRadioss
Model: Cell Phone Drop Test
OpenRadioss
Model: Bird Strike on Windshield
OpenRadioss
Model: Rubber O-Ring Seal Installation
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
SMHasher
Hash: wyhash
SMHasher
Hash: wyhash
SMHasher
Hash: SHA3-256
SMHasher
Hash: SHA3-256
SMHasher
Hash: Spooky32
SMHasher
Hash: Spooky32
SMHasher
Hash: fasthash32
SMHasher
Hash: fasthash32
SMHasher
Hash: FarmHash128
SMHasher
Hash: FarmHash128
SMHasher
Hash: t1ha2_atonce
SMHasher
Hash: t1ha2_atonce
SMHasher
Hash: FarmHash32 x86_64 AVX
SMHasher
Hash: FarmHash32 x86_64 AVX
SMHasher
Hash: t1ha0_aes_avx2 x86_64
SMHasher
Hash: t1ha0_aes_avx2 x86_64
SMHasher
Hash: MeowHash x86_64 AES-NI
SMHasher
Hash: MeowHash x86_64 AES-NI
spaCy
Model: en_core_web_lg
spaCy
Model: en_core_web_trf
Stress-NG
Test: CPU Stress
Stress-NG
Test: Crypto
Stress-NG
Test: Memory Copying
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Vector Math
Stress-NG
Test: Matrix Math
Stress-NG
Test: Forking
Stress-NG
Test: System V Message Passing
Stress-NG
Test: Semaphores
Stress-NG
Test: Socket Activity
Stress-NG
Test: Context Switching
Stress-NG
Test: Atomic
Stress-NG
Test: CPU Cache
Stress-NG
Test: Malloc
Stress-NG
Test: MEMFD
Stress-NG
Test: MMAP
Stress-NG
Test: NUMA
Stress-NG
Test: SENDFILE
Stress-NG
Test: IO_uring
Stress-NG
Test: Futex
Stress-NG
Test: Mutex
TensorFlow
Device: CPU - Batch Size: 16 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 32 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 64 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 256 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 512 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 512 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 512 - Model: ResNet-50
Timed Godot Game Engine Compilation
Time To Compile
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
Timed Mesa Compilation
Time To Compile
Timed Node.js Compilation
Time To Compile
x264
Video Input: Bosphorus 4K
x264
Video Input: Bosphorus 1080p
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
Xmrig
Variant: Monero - Hash Count: 1M
Xmrig
Variant: Wownero - Hash Count: 1M
Y-Cruncher
Pi Digits To Calculate: 1B
Y-Cruncher
Pi Digits To Calculate: 500M
Phoronix Test Suite v10.8.5