Cascade Lake EO 2022
2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED on Ubuntu 21.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2212138-NE-CASCADELA14&grr&rdt.
BRL-CAD
VGR Performance Metric
TensorFlow
Device: CPU - Batch Size: 512 - Model: ResNet-50
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
SMHasher
Hash: SHA3-256
SMHasher
Hash: SHA3-256
WebP2 Image Encode
Encode Settings: Quality 100, Lossless Compression
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
JPEG XL libjxl
Input: JPEG - Quality: 100
JPEG XL libjxl
Input: PNG - Quality: 100
Blender
Blend File: Barbershop - Compute: CPU-Only
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
Timed Linux Kernel Compilation
Build: allmodconfig
FFmpeg
Encoder: libx264 - Scenario: Upload
FFmpeg
Encoder: libx264 - Scenario: Upload
TensorFlow
Device: CPU - Batch Size: 512 - Model: GoogLeNet
Facebook RocksDB
Test: Sequential Fill
NCNN
Target: CPU - Model: FastestDet
NCNN
Target: CPU - Model: vision_transformer
NCNN
Target: CPU - Model: regnety_400m
NCNN
Target: CPU - Model: squeezenet_ssd
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: CPU - Model: resnet50
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: mobilenet
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx264 - Scenario: Platform
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
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
Mobile Neural Network
Model: inception-v3
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: squeezenetv1.1
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: nasnet
Timed Node.js Compilation
Time To Compile
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
Scikit-Learn
Benchmark: Sparse Random Projections, 100 Iterations
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
OpenRadioss
Model: Bird Strike on Windshield
JPEG XL libjxl
Input: JPEG - Quality: 80
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
JPEG XL libjxl
Input: PNG - Quality: 80
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
PostgreSQL
Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 100 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 100 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
JPEG XL libjxl
Input: JPEG - Quality: 90
JPEG XL libjxl
Input: PNG - Quality: 90
Scikit-Learn
Benchmark: MNIST Dataset
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 512
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
OpenRadioss
Model: Bumper Beam
OpenRadioss
Model: Rubber O-Ring Seal Installation
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
Blender
Blend File: Classroom - Compute: CPU-Only
libavif avifenc
Encoder Speed: 0
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 1024
Timed Erlang/OTP Compilation
Time To Compile
nginx
Connections: 1000
nginx
Connections: 500
nginx
Connections: 200
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
Node.js V8 Web Tooling Benchmark
C-Blosc
Test: blosclz bitshuffle
JPEG XL Decoding libjxl
CPU Threads: 1
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 512
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
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
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - 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
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: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
Xmrig
Variant: Monero - Hash Count: 1M
Facebook RocksDB
Test: Random Fill Sync
Facebook RocksDB
Test: Update Random
GraphicsMagick
Operation: Resizing
Facebook RocksDB
Test: Random Fill
Facebook RocksDB
Test: Read Random Write Random
Facebook RocksDB
Test: Read While Writing
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: Rotate
Facebook RocksDB
Test: Random Read
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: HWB Color Space
GraphicsMagick
Operation: Swirl
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
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 1024
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
C-Blosc
Test: blosclz shuffle
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
libavif avifenc
Encoder Speed: 2
Primesieve
Length: 1e13
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
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
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Live
EnCodec
Target Bandwidth: 24 kbps
OpenRadioss
Model: Cell Phone Drop Test
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
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
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 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
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
Timed PHP Compilation
Time To Compile
Blender
Blend File: Fishy Cat - Compute: CPU-Only
spaCy
Model: en_core_web_trf
spaCy
Model: en_core_web_lg
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 512
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
EnCodec
Target Bandwidth: 3 kbps
EnCodec
Target Bandwidth: 6 kbps
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 512
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
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
srsRAN
Test: OFDM_Test
EnCodec
Target Bandwidth: 1.5 kbps
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
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 1024
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Xmrig
Variant: Wownero - Hash Count: 1M
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
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 1024
Cpuminer-Opt
Algorithm: Myriad-Groestl
Redis
Test: LPUSH - Parallel Connections: 1000
Blender
Blend File: BMW27 - Compute: CPU-Only
Timed Linux Kernel Compilation
Build: defconfig
Redis
Test: LPUSH - Parallel Connections: 500
Redis
Test: LPOP - Parallel Connections: 1000
Redis
Test: LPUSH - Parallel Connections: 50
Scikit-Learn
Benchmark: TSNE MNIST Dataset
JPEG XL Decoding libjxl
CPU Threads: All
Stress-NG
Test: Atomic
Stress-NG
Test: Glibc C String Functions
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: Futex
Cpuminer-Opt
Algorithm: Garlicoin
Cpuminer-Opt
Algorithm: Ringcoin
Stress-NG
Test: System V Message Passing
Stress-NG
Test: Malloc
Cpuminer-Opt
Algorithm: Deepcoin
Aircrack-ng
Stress-NG
Test: Context Switching
Stress-NG
Test: CPU Cache
Stress-NG
Test: IO_uring
Stress-NG
Test: NUMA
Stress-NG
Test: MMAP
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
Stress-NG
Test: Forking
Stress-NG
Test: Socket Activity
Stress-NG
Test: CPU Stress
Stress-NG
Test: SENDFILE
Stress-NG
Test: Matrix Math
Stress-NG
Test: Crypto
Stress-NG
Test: Semaphores
Stress-NG
Test: Memory Copying
Stress-NG
Test: MEMFD
Stress-NG
Test: Vector Math
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Mutex
Cpuminer-Opt
Algorithm: scrypt
Cpuminer-Opt
Algorithm: Skeincoin
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Cpuminer-Opt
Algorithm: Blake-2 S
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: x25x
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
Redis
Test: SET - Parallel Connections: 1000
Redis
Test: SET - Parallel Connections: 50
Redis
Test: SET - Parallel Connections: 500
Redis
Test: LPOP - Parallel Connections: 500
Redis
Test: LPOP - Parallel Connections: 50
Redis
Test: SADD - Parallel Connections: 1000
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
Redis
Test: SADD - Parallel Connections: 500
Redis
Test: SADD - Parallel Connections: 50
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
Redis
Test: GET - Parallel Connections: 1000
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
Redis
Test: GET - Parallel Connections: 500
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Natron
Input: Spaceship
Redis
Test: GET - Parallel Connections: 50
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
FLAC Audio Encoding
WAV To FLAC
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
ASTC Encoder
Preset: Exhaustive
Y-Cruncher
Pi Digits To Calculate: 1B
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
WebP Image Encode
Encode Settings: Quality 100, Lossless
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Timed CPython Compilation
Build Configuration: Default
SMHasher
Hash: FarmHash128
SMHasher
Hash: FarmHash128
SMHasher
Hash: MeowHash x86_64 AES-NI
SMHasher
Hash: MeowHash x86_64 AES-NI
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
SMHasher
Hash: Spooky32
SMHasher
Hash: Spooky32
ASTC Encoder
Preset: Thorough
SMHasher
Hash: FarmHash32 x86_64 AVX
SMHasher
Hash: FarmHash32 x86_64 AVX
SMHasher
Hash: fasthash32
SMHasher
Hash: fasthash32
Y-Cruncher
Pi Digits To Calculate: 500M
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
SMHasher
Hash: t1ha2_atonce
SMHasher
Hash: t1ha2_atonce
SMHasher
Hash: t1ha0_aes_avx2 x86_64
SMHasher
Hash: t1ha0_aes_avx2 x86_64
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
ASTC Encoder
Preset: Fast
libavif avifenc
Encoder Speed: 6, Lossless
SMHasher
Hash: wyhash
SMHasher
Hash: wyhash
Unpacking The Linux Kernel
linux-5.19.tar.xz
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
ASTC Encoder
Preset: Medium
libavif avifenc
Encoder Speed: 10, Lossless
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
libavif avifenc
Encoder Speed: 6
Primesieve
Length: 1e12
WebP2 Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
WebP2 Image Encode
Encode Settings: Quality 100, Compression Effort 5
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
WebP Image Encode
Encode Settings: Default
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
Phoronix Test Suite v10.8.5