new tests extra cpus
AMD EPYC 7343 16-Core testing with a Supermicro H12SSL-i v1.02 (2.4 BIOS) and astdrmfb on AlmaLinux 9.1 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2304290-NE-NEWTESTSE60&grr&rdt.
NWChem
Input: C240 Buckyball
TensorFlow
Device: CPU - Batch Size: 512 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
Blender
Blend File: Barbershop - Compute: CPU-Only
TensorFlow
Device: CPU - Batch Size: 512 - Model: GoogLeNet
DeepRec
Model: PLE - Data Type: BF16
DeepRec
Model: PLE - Data Type: BF16
Timed LLVM Compilation
Build System: Unix Makefiles
Timed LLVM Compilation
Build System: Ninja
DeepRec
Model: MMOE - Data Type: BF16
DeepRec
Model: MMOE - Data Type: BF16
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
Timed Node.js Compilation
Time To Compile
DeepRec
Model: PLE - Data Type: FP32
DeepRec
Model: PLE - Data Type: FP32
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
MariaDB
Clients: 8192
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
FFmpeg
Encoder: libx264 - Scenario: Upload
FFmpeg
Encoder: libx264 - Scenario: Upload
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Timed Godot Game Engine Compilation
Time To Compile
Blender
Blend File: Classroom - Compute: CPU-Only
DeepRec
Model: BST - Data Type: BF16
DeepRec
Model: BST - Data Type: BF16
DeepRec
Model: DCNv2 - Data Type: BF16
DeepRec
Model: DCNv2 - Data Type: BF16
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: SHA512
OpenSSL
Algorithm: SHA256
FFmpeg
Encoder: libx264 - Scenario: Platform
FFmpeg
Encoder: libx264 - 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
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Upload
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
OpenCV
Test: Stitching
OpenCV
Test: Graph API
MariaDB
Clients: 4096
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
MariaDB
Clients: 2048
DeepRec
Model: MMOE - Data Type: FP32
DeepRec
Model: MMOE - Data Type: FP32
MariaDB
Clients: 1024
MariaDB
Clients: 512
DeepRec
Model: DCNv2 - Data Type: FP32
DeepRec
Model: DCNv2 - Data Type: FP32
MariaDB
Clients: 256
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
DeepRec
Model: BST - Data Type: FP32
DeepRec
Model: BST - Data Type: FP32
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Build2
Time To Compile
OpenCV
Test: Image Processing
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
nginx
Connections: 500
nginx
Connections: 200
Apache HTTP Server
Concurrent Requests: 1000
Apache HTTP Server
Concurrent Requests: 500
Apache HTTP Server
Concurrent Requests: 200
Apache HTTP Server
Concurrent Requests: 100
Blender
Blend File: BMW27 - Compute: CPU-Only
OpenCV
Test: Features 2D
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
Memcached
Set To Get Ratio: 1:100
Memcached
Set To Get Ratio: 1:10
Memcached
Set To Get Ratio: 1:5
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Points2Image
Timed Linux Kernel Compilation
Build: defconfig
OpenCV
Test: Core
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
John The Ripper
Test: MD5
John The Ripper
Test: HMAC-SHA512
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
DeepRec
Model: DLRM - Data Type: BF16
DeepRec
Model: DLRM - Data Type: BF16
PETSc
Test: Streams
nginx
Connections: 1000
nginx
Connections: 100
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx264 - Scenario: Live
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Embree
Binary: Pathtracer ISPC - Model: Crown
Timed FFmpeg Compilation
Time To Compile
Embree
Binary: Pathtracer - Model: Crown
Stress-NG
Test: Atomic
Stress-NG
Test: Atomic
Stress-NG
Test: Zlib
Stress-NG
Test: Zlib
Stress-NG
Test: Context Switching
Stress-NG
Test: Futex
Stress-NG
Test: Pthread
John The Ripper
Test: WPA PSK
Stress-NG
Test: System V Message Passing
Stress-NG
Test: Hash
Stress-NG
Test: Hash
Stress-NG
Test: NUMA
Stress-NG
Test: Pthread
John The Ripper
Test: Blowfish
Stress-NG
Test: NUMA
Stress-NG
Test: Mutex
Stress-NG
Test: Socket Activity
Stress-NG
Test: CPU Stress
Stress-NG
Test: Futex
Stress-NG
Test: Malloc
Stress-NG
Test: Malloc
Stress-NG
Test: Matrix Math
Stress-NG
Test: Crypto
Stress-NG
Test: MEMFD
Stress-NG
Test: Matrix Math
Stress-NG
Test: MMAP
Stress-NG
Test: CPU Cache
Stress-NG
Test: Mutex
Stress-NG
Test: Function Call
Stress-NG
Test: CPU Stress
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Vector Math
Stress-NG
Test: Vector Math
Stress-NG
Test: SENDFILE
Stress-NG
Test: Forking
Stress-NG
Test: MMAP
Stress-NG
Test: CPU Cache
Stress-NG
Test: Memory Copying
Stress-NG
Test: Poll
Stress-NG
Test: Glibc C String Functions
Stress-NG
Test: SENDFILE
Stress-NG
Test: MEMFD
Stress-NG
Test: Semaphores
Stress-NG
Test: Forking
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: Semaphores
Stress-NG
Test: Crypto
Stress-NG
Test: Poll
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
Opus Codec Encoding
WAV To Opus Encode
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
Embree
Binary: Pathtracer - Model: Asian Dragon
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
OpenCV
Test: DNN - Deep Neural Network
OpenCV
Test: Object Detection
DeepRec
Model: DLRM - Data Type: FP32
DeepRec
Model: DLRM - Data Type: FP32
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: NDT Mapping
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Euclidean Cluster
RocksDB
Test: Update Random
John The Ripper
Test: bcrypt
RocksDB
Test: Random Fill
RocksDB
Test: Read Random Write Random
RocksDB
Test: Read While Writing
RocksDB
Test: Random Fill Sync
RocksDB
Test: Random Read
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
DeepRec
Model: DIN - Data Type: BF16
DeepRec
Model: DIN - Data Type: BF16
DeepRec
Model: DIN - Data Type: FP32
DeepRec
Model: DIN - Data Type: FP32
OpenCV
Test: Video
Google Draco
Model: Church Facade
Google Draco
Model: Lion
RocksDB
Test: Sequential Fill
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
Phoronix Test Suite v10.8.5