Pop OS Kernels Linux 6.8
Benchmarks by Michael Larabel for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2404296-NE-POPOSKERN75&sor&grs.
WavPack Audio Encoding
WAV To WavPack
RocksDB
Test: Read Random Write Random
JPEG-XL libjxl
Input: PNG - Quality: 90
x265
Video Input: Bosphorus 4K
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Platform
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
JPEG-XL libjxl
Input: JPEG - Quality: 90
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
FFmpeg
Encoder: libx265 - Scenario: Live
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
JPEG-XL libjxl
Input: JPEG - Quality: 100
JPEG-XL libjxl
Input: PNG - Quality: 100
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
JPEG-XL libjxl
Input: JPEG - Quality: 80
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
RocksDB
Test: Update Random
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
srsRAN Project
Test: PDSCH Processor Benchmark, Throughput Total
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
GraphicsMagick
Operation: HWB Color Space
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
JPEG-XL Decoding libjxl
CPU Threads: All
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
GraphicsMagick
Operation: Noise-Gaussian
SPECFEM3D
Model: Mount St. Helens
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
SPECFEM3D
Model: Homogeneous Halfspace
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
OpenSSL
Algorithm: AES-256-GCM
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
Chaos Group V-RAY
Mode: CPU
Timed Linux Kernel Compilation
Build: allmodconfig
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
OpenSSL
Algorithm: AES-128-GCM
SPECFEM3D
Model: Water-layered Halfspace
RocksDB
Test: Read While Writing
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenSSL
Algorithm: ChaCha20
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
GraphicsMagick
Operation: Resizing
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenSSL
Algorithm: SHA512
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Total
FFmpeg
Encoder: libx264 - Scenario: Live
uvg266
Video Input: Bosphorus 1080p - Video Preset: Slow
OpenSSL
Algorithm: ChaCha20-Poly1305
Timed Node.js Compilation
Time To Compile
uvg266
Video Input: Bosphorus 1080p - Video Preset: Medium
OpenVINO
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Engine: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
Google Draco
Model: Church Facade
TensorFlow
Device: CPU - Batch Size: 1 - Model: ResNet-50
C-Ray
Resolution: 5K - Rays Per Pixel: 16
Primesieve
Length: 1e13
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
libavif avifenc
Encoder Speed: 10, Lossless
OpenVINO
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
GraphicsMagick
Operation: Rotate
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
oneDNN
Harness: Convolution Batch Shapes Auto - Engine: CPU
WebP Image Encode
Encode Settings: Default
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
OSPRay
Benchmark: particle_volume/pathtracer/real_time
dav1d
Video Input: Summer Nature 1080p
OpenVINO
Model: Face Detection FP16 - Device: CPU
SPECFEM3D
Model: Tomographic Model
OpenVINO
Model: Face Detection FP16 - Device: CPU
Blender
Blend File: Barbershop - Compute: CPU-Only
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Engine: CPU
C-Ray
Resolution: 1080p - Rays Per Pixel: 16
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
Google Draco
Model: Lion
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Engine: CPU
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
C-Ray
Resolution: 4K - Rays Per Pixel: 16
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
Graph500
Scale: 26
WebP Image Encode
Encode Settings: Quality 100, Lossless
Blender
Blend File: BMW27 - Compute: CPU-Only
GraphicsMagick
Operation: Sharpen
OpenVINO
Model: Person Re-Identification Retail FP16 - Device: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
ASTC Encoder
Preset: Fast
Blender
Blend File: Junkshop - Compute: CPU-Only
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
libavif avifenc
Encoder Speed: 2
OpenVINO
Model: Person Re-Identification Retail FP16 - Device: CPU
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
GraphicsMagick
Operation: Enhanced
OpenSSL
Algorithm: RSA4096
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
oneDNN
Harness: Recurrent Neural Network Training - Engine: CPU
Timed Mesa Compilation
Time To Compile
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
Graph500
Scale: 26
Graph500
Scale: 26
OSPRay
Benchmark: particle_volume/ao/real_time
libavif avifenc
Encoder Speed: 0
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
RNNoise
Input: 26 Minute Long Talking Sample
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
Blender
Blend File: Fishy Cat - Compute: CPU-Only
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
libavif avifenc
Encoder Speed: 6
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
JPEG-XL Decoding libjxl
CPU Threads: 1
Primesieve
Length: 1e12
Graph500
Scale: 26
dav1d
Video Input: Chimera 1080p 10-bit
OpenSSL
Algorithm: RSA4096
libavif avifenc
Encoder Speed: 6, Lossless
OSPRay
Benchmark: particle_volume/scivis/real_time
Blender
Blend File: Classroom - Compute: CPU-Only
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
GraphicsMagick
Operation: Swirl
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
SPECFEM3D
Model: Layered Halfspace
WebP Image Encode
Encode Settings: Quality 100
dav1d
Video Input: Summer Nature 4K
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
ASTC Encoder
Preset: Exhaustive
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
Timed Linux Kernel Compilation
Build: defconfig
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Timed PHP Compilation
Time To Compile
dav1d
Video Input: Chimera 1080p
BRL-CAD
VGR Performance Metric
oneDNN
Harness: IP Shapes 3D - Engine: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
ASTC Encoder
Preset: Very Thorough
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenSSL
Algorithm: SHA256
ASTC Encoder
Preset: Thorough
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
Timed FFmpeg Compilation
Time To Compile
ASTC Encoder
Preset: Medium
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Thread
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx264 - Scenario: Upload
RocksDB
Test: Random Read
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
oneDNN
Harness: IP Shapes 1D - Engine: CPU
Parallel BZIP2 Compression
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
Stockfish
Chess Benchmark
srsRAN Project
Test: PDSCH Processor Benchmark, Throughput Thread
JPEG-XL libjxl
Input: PNG - Quality: 80
Phoronix Test Suite v10.8.5