Core i9 13900K Linux Distros
Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0602 BIOS) and AMD Radeon RX 6800 XT 16GB on Ubuntu 22.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2211049-NE-COREI913914&grr.
NWChem
Input: C240 Buckyball
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
Blender
Blend File: Barbershop - Compute: CPU-Only
TensorFlow
Device: CPU - Batch Size: 512 - Model: GoogLeNet
Timed Linux Kernel Compilation
Build: allmodconfig
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1
Apache Spark
Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time
ClickHouse
100M Rows Web Analytics Dataset, Third Run
ClickHouse
100M Rows Web Analytics Dataset, Second Run
ClickHouse
100M Rows Web Analytics Dataset, First Run / Cold Cache
Java Gradle Build
Gradle Build: Reactor
Renaissance
Test: Genetic Algorithm Using Jenetics + Futures
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
Polyhedron Fortran Benchmarks
Benchmark: fatigue2
Timed Node.js Compilation
Time To Compile
Rodinia
Test: OpenMP HotSpot3D
Polyhedron Fortran Benchmarks
Benchmark: tfft2
JPEG XL libjxl
Input: JPEG - Quality: 100
JPEG XL libjxl
Input: PNG - Quality: 100
High Performance Conjugate Gradient
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
OpenVKL
Benchmark: vklBenchmark ISPC
Polyhedron Fortran Benchmarks
Benchmark: gas_dyn2
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
Renaissance
Test: Apache Spark PageRank
OpenRadioss
Model: Bird Strike on Windshield
OpenSSL
Algorithm: SHA256
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
FFmpeg
Encoder: libx264 - Scenario: Upload
FFmpeg
Encoder: libx264 - Scenario: Upload
Renaissance
Test: ALS Movie Lens
Renaissance
Test: Scala Dotty
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 64 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 32 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 32 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 32 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 32 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 8 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 8 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 16 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 16 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 16 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 16 - Warehouses: 100
HammerDB - MariaDB
Virtual Users: 8 - Warehouses: 250
HammerDB - MariaDB
Virtual Users: 8 - Warehouses: 250
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Stress-NG
Test: Futex
Stress-NG
Test: Atomic
Stress-NG
Test: CPU Cache
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Crypto
Stress-NG
Test: Mutex
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Blender
Blend File: Classroom - Compute: CPU-Only
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
Renaissance
Test: Akka Unbalanced Cobwebbed Tree
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
ONNX Runtime
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Standard
ONNX Runtime
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Standard
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Standard
Stress-NG
Test: Socket Activity
ONNX Runtime
Model: super-resolution-10 - Device: CPU - Executor: Standard
OpenRadioss
Model: Bumper Beam
PyPerformance
Benchmark: python_startup
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
Appleseed
Scene: Emily
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
OpenRadioss
Model: Rubber O-Ring Seal Installation
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
Xmrig
Variant: Monero - Hash Count: 1M
SVT-HEVC
Tuning: 1 - Input: Bosphorus 4K
Polyhedron Fortran Benchmarks
Benchmark: channel2
NAS Parallel Benchmarks
Test / Class: FT.C
NAS Parallel Benchmarks
Test / Class: SP.C
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1
JPEG XL libjxl
Input: JPEG - Quality: 80
nginx
Connections: 1000
nginx
Connections: 500
nginx
Connections: 200
Stress-NG
Test: Vector Math
nginx
Connections: 100
JPEG XL libjxl
Input: PNG - Quality: 80
Polyhedron Fortran Benchmarks
Benchmark: mp_prop_design
Rodinia
Test: OpenMP LavaMD
Warsow
Resolution: 3840 x 2160
Warsow
Resolution: 1920 x 1080
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 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
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
Blender
Blend File: Fishy Cat - Compute: CPU-Only
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
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
JPEG XL libjxl
Input: JPEG - Quality: 90
JPEG XL libjxl
Input: PNG - Quality: 90
OpenRadioss
Model: Cell Phone Drop Test
Chaos Group V-RAY
Mode: CPU
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
Apache Spark
Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Inner Join Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Repartition Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Group By Test Time
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark
Apache Spark
Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time
Renaissance
Test: Apache Spark ALS
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: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
Xonotic
Resolution: 3840 x 2160 - Effects Quality: Ultimate
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultimate
Xmrig
Variant: Wownero - Hash Count: 1M
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
IndigoBench
Acceleration: CPU - Scene: Bedroom
Polyhedron Fortran Benchmarks
Benchmark: test_fpu2
IndigoBench
Acceleration: CPU - Scene: Supercar
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
Appleseed
Scene: Material Tester
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: RaiNyMore2
DDraceNetwork
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: Multeasymap - Total Frame Time
DDraceNetwork
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: Multeasymap
DDraceNetwork
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: RaiNyMore2 - Total Frame Time
DDraceNetwork
Resolution: 3840 x 2160 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: RaiNyMore2
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: Multeasymap - Total Frame Time
DDraceNetwork
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: Vulkan - Zoom: Default - Demo: Multeasymap
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection 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
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
NAS Parallel Benchmarks
Test / Class: BT.C
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
Appleseed
Scene: Disney Material
Renaissance
Test: Savina Reactors.IO
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160
Blender
Blend File: BMW27 - Compute: CPU-Only
Xonotic
Resolution: 3840 x 2160 - Effects Quality: Ultra
Xonotic
Resolution: 1920 x 1080 - Effects Quality: Ultra
Rodinia
Test: OpenMP Leukocyte
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
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
NAS Parallel Benchmarks
Test / Class: EP.D
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 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
Node.js V8 Web Tooling Benchmark
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19 - Compression Speed
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
Polyhedron Fortran Benchmarks
Benchmark: induct2
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
NAS Parallel Benchmarks
Test / Class: IS.D
spaCy
Model: en_core_web_trf
spaCy
Model: en_core_web_lg
Timed Linux Kernel Compilation
Build: defconfig
Stress-NG
Test: Context Switching
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
NAMD
ATPase Simulation - 327,506 Atoms
Cpuminer-Opt
Algorithm: Skeincoin
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: 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
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 512
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 1024
NAS Parallel Benchmarks
Test / Class: LU.C
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
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
FinanceBench
Benchmark: Bonds OpenMP
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: 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
Chia Blockchain VDF
Test: Square Plain C++
PyPerformance
Benchmark: raytrace
PyPerformance
Benchmark: django_template
PyHPC Benchmarks
Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing
Renaissance
Test: In-Memory Database Shootout
Chia Blockchain VDF
Test: Square Assembly Optimized
RawTherapee
Total Benchmark Time
SQLite Speedtest
Timed Time - Size 1,000
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
Polyhedron Fortran Benchmarks
Benchmark: rnflow
Polyhedron Fortran Benchmarks
Benchmark: doduc
PyPerformance
Benchmark: float
Tesseract
Resolution: 1920 x 1080
PyPerformance
Benchmark: chaos
Tesseract
Resolution: 3840 x 2160
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
Stress-NG
Test: x86_64 RdRand
Cpuminer-Opt
Algorithm: Garlicoin
Timed Wasmer Compilation
Time To Compile
Cpuminer-Opt
Algorithm: Blake-2 S
Cpuminer-Opt
Algorithm: x25x
Cpuminer-Opt
Algorithm: scrypt
Stress-NG
Test: System V Message Passing
Stress-NG
Test: CPU Stress
Stress-NG
Test: IO_uring
Stress-NG
Test: Forking
Stress-NG
Test: MEMFD
Stress-NG
Test: Matrix Math
Cpuminer-Opt
Algorithm: Deepcoin
Stress-NG
Test: Malloc
Stress-NG
Test: NUMA
Stress-NG
Test: MMAP
Stress-NG
Test: SENDFILE
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Memory Copying
Stress-NG
Test: Semaphores
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Cpuminer-Opt
Algorithm: Myriad-Groestl
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
PyPerformance
Benchmark: regex_compile
Cpuminer-Opt
Algorithm: Ringcoin
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 512
PyPerformance
Benchmark: 2to3
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 1024
Polyhedron Fortran Benchmarks
Benchmark: capacita
FinanceBench
Benchmark: Repo OpenMP
DaCapo Benchmark
Java Test: H2
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Live
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
PyPerformance
Benchmark: pathlib
Renaissance
Test: Finagle HTTP Requests
CloudSuite Graph Analytics
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
Polyhedron Fortran Benchmarks
Benchmark: protein
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
Renaissance
Test: Apache Spark Bayes
srsRAN
Test: OFDM_Test
PyPerformance
Benchmark: pickle_pure_python
EnCodec
Target Bandwidth: 24 kbps
PyPerformance
Benchmark: nbody
Renaissance
Test: Random Forest
PyPerformance
Benchmark: json_loads
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
Polyhedron Fortran Benchmarks
Benchmark: ac
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 57
PyPerformance
Benchmark: go
EnCodec
Target Bandwidth: 6 kbps
EnCodec
Target Bandwidth: 3 kbps
Polyhedron Fortran Benchmarks
Benchmark: air
EnCodec
Target Bandwidth: 1.5 kbps
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
PyPerformance
Benchmark: crypto_pyaes
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
LibRaw
Post-Processing Benchmark
NAS Parallel Benchmarks
Test / Class: CG.C
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
Unvanquished
Resolution: 3840 x 2160 - Effects Quality: Ultra
Rodinia
Test: OpenMP CFD Solver
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: Ultra
Unvanquished
Resolution: 3840 x 2160 - Effects Quality: High
NAS Parallel Benchmarks
Test / Class: SP.B
Natron
Input: Spaceship
Unvanquished
Resolution: 1920 x 1080 - Effects Quality: High
QuantLib
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
DaCapo Benchmark
Java Test: Tradesoap
Polyhedron Fortran Benchmarks
Benchmark: aermod
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
PHPBench
PHP Benchmark Suite
CloudSuite In-Memory Analytics
Polyhedron Fortran Benchmarks
Benchmark: mdbx
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
PyBench
Total For Average Test Times
WebP Image Encode
Encode Settings: Quality 100, Lossless
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
Polyhedron Fortran Benchmarks
Benchmark: linpk
PyHPC Benchmarks
Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
NAS Parallel Benchmarks
Test / Class: MG.C
Rodinia
Test: OpenMP Streamcluster
DaCapo Benchmark
Java Test: Tradebeans
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
Node.js Express HTTP Load Test
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 10 - Input: Bosphorus 4K
Timed CPython Compilation
Build Configuration: Default
DaCapo Benchmark
Java Test: Jython
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
NAS Parallel Benchmarks
Test / Class: EP.C
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Default
ctx_clock
Context Switch Time
Phoronix Test Suite v10.8.4