extra tests
2 x AMD EPYC 9754 128-Core testing with a Supermicro H13DSH (1.5 BIOS) and astdrmfb on AlmaLinux 9.2 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2308305-NE-EXTRATEST07&sro&grs.
Stress-NG
Test: Semaphores
Stress-NG
Test: MEMFD
Stress-NG
Test: Pipe
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: Hash
Stress-NG
Test: Context Switching
Stress-NG
Test: Vector Shuffle
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
NCNN
Target: CPU - Model: regnety_400m
Stress-NG
Test: Floating Point
Stress-NG
Test: CPU Stress
Stress-NG
Test: Function Call
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: Fused Multiply-Add
Stress-NG
Test: Matrix Math
Stress-NG
Test: Vector Floating Point
Stress-NG
Test: Zlib
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Stress-NG
Test: Vector Math
Stress-NG
Test: AVX-512 VNNI
Stress-NG
Test: Memory Copying
Stress-NG
Test: Wide Vector Math
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Malloc
Stress-NG
Test: Glibc C String Functions
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: BMW27 - Compute: CPU-Only
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
Embree
Binary: Pathtracer - Model: Asian Dragon
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Embree
Binary: Pathtracer - Model: Crown
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Crown
Stress-NG
Test: Poll
Blender
Blend File: Fishy Cat - Compute: CPU-Only
NCNN
Target: CPU - Model: blazeface
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Stress-NG
Test: SENDFILE
Stress-NG
Test: Crypto
OSPRay
Benchmark: particle_volume/ao/real_time
OSPRay
Benchmark: particle_volume/scivis/real_time
NCNN
Target: CPU - Model: shufflenet-v2
Stress-NG
Test: Forking
Stress-NG
Test: AVL Tree
Stress-NG
Test: MMAP
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: FastestDet
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 Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
NCNN
Target: CPU - Model: squeezenet_ssd
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
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 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
Stress-NG
Test: CPU Cache
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: resnet50
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
Stress-NG
Test: Socket Activity
BRL-CAD
VGR Performance Metric
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: vision_transformer
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
NCNN
Target: CPU - Model: mobilenet
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Timed Linux Kernel Compilation
Build: defconfig
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
Stress-NG
Test: Futex
Stress-NG
Test: Matrix 3D Math
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
NCNN
Target: CPU - Model: yolov4-tiny
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: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
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
Liquid-DSP
Threads: 64 - Buffer Length: 256 - Filter Length: 512
Stress-NG
Test: NUMA
Stress-NG
Test: Pthread
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
Apache Cassandra
Test: Writes
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 32
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 32
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Stress-NG
Test: Mixed Scheduler
Stress-NG
Test: Mutex
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 512
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 32
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 512
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 57
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 512
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Liquid-DSP
Threads: 64 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 57
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: Atomic
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Neural Magic DeepSparse
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
Stress-NG
Test: System V Message Passing
Liquid-DSP
Threads: 64 - Buffer Length: 256 - Filter Length: 32
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
OSPRay
Benchmark: particle_volume/pathtracer/real_time
Stress-NG
Test: Cloning
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
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
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Kripke
Dragonflydb
Clients Per Thread: 50 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 20 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 50 - Set To Get Ratio: 1:10
Dragonflydb
Clients Per Thread: 20 - Set To Get Ratio: 1:10
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:10
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
nekRS
Input: TurboPipe Periodic
nekRS
Input: Kershaw
SPECFEM3D
Model: Water-layered Halfspace
SPECFEM3D
Model: Homogeneous Halfspace
SPECFEM3D
Model: Tomographic Model
SPECFEM3D
Model: Layered Halfspace
SPECFEM3D
Model: Mount St. Helens
Remhos
Test: Sample Remap Example
Laghos
Test: Sedov Blast Wave, ube_922_hex.mesh
Laghos
Test: Triple Point Problem
Phoronix Test Suite v10.8.5