System76 Thelio Kernels Linux 6.8
Benchmarks by Michael Larabel for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2401218-PTS-SYSTEM7660&rdt&grr.
TensorFlow
Device: CPU - Batch Size: 512 - Model: ResNet-50
LeelaChessZero
Backend: Eigen
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
Timed Linux Kernel Compilation
Build: allmodconfig
Quicksilver
Input: CTS2
Quicksilver
Input: CORAL2 P2
Timed LLVM Compilation
Build System: Unix Makefiles
Blender
Blend File: Barbershop - Compute: CPU-Only
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
Timed LLVM Compilation
Build System: Ninja
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
Timed Node.js Compilation
Time To Compile
Stress-NG
Test: Context Switching
Stress-NG
Test: Forking
Stress-NG
Test: IO_uring
Stress-NG
Test: CPU Cache
Stress-NG
Test: Matrix 3D Math
Stress-NG
Test: Futex
Speedb
Test: Read While Writing
Stress-NG
Test: Cloning
Stress-NG
Test: Semaphores
Stress-NG
Test: Vector Floating Point
Stress-NG
Test: AVL Tree
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
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail 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: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Speedb
Test: Update Random
Speedb
Test: Read Random Write Random
Speedb
Test: Random Read
rav1e
Speed: 1
PyTorch
Device: CPU - Batch Size: 512 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 16 - Model: ResNet-50
QuantLib
Configuration: Multi-Threaded
Quicksilver
Input: CORAL2 P1
Timed Linux Kernel Compilation
Build: defconfig
Stress-NG
Test: AVX-512 VNNI
Stress-NG
Test: Pipe
rav1e
Speed: 5
rav1e
Speed: 10
Stress-NG
Test: Atomic
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
Stress-NG
Test: Malloc
Stress-NG
Test: MMAP
Stress-NG
Test: MEMFD
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: Pthread
Stress-NG
Test: Zlib
Stress-NG
Test: System V Message Passing
Stress-NG
Test: NUMA
Stress-NG
Test: Wide Vector Math
Stress-NG
Test: SENDFILE
Stress-NG
Test: Hash
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Function Call
Stress-NG
Test: Mixed Scheduler
Stress-NG
Test: Vector Shuffle
Stress-NG
Test: Fused Multiply-Add
Stress-NG
Test: Mutex
Stress-NG
Test: Memory Copying
Stress-NG
Test: Crypto
Stress-NG
Test: Poll
Stress-NG
Test: Floating Point
Stress-NG
Test: CPU Stress
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: Vector Math
Stress-NG
Test: Matrix Math
rav1e
Speed: 6
Timed PHP Compilation
Time To Compile
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
FLAC Audio Encoding
WAV To FLAC
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
QuantLib
Configuration: Single-Threaded
TensorFlow
Device: CPU - Batch Size: 1 - Model: ResNet-50
Blender
Blend File: BMW27 - Compute: CPU-Only
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Y-Cruncher
Pi Digits To Calculate: 1B
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Y-Cruncher
Pi Digits To Calculate: 500M
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Phoronix Test Suite v10.8.5