stress extra
AMD EPYC 7763 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.


AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X: 

	Processor: AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710

	OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080


Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5


Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10


Stress-NG 0.16.04
Test: Hash
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 11144840.42 |=================


Stress-NG 0.16.04
Test: MMAP
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 1233.47 |=====================


Stress-NG 0.16.04
Test: NUMA
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 291.55 |======================


Stress-NG 0.16.04
Test: Pipe
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 37830030.68 |=================


Stress-NG 0.16.04
Test: Poll
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 7893061.95 |==================


Stress-NG 0.16.04
Test: Zlib
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 6210.36 |=====================


Stress-NG 0.16.04
Test: Futex
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 2343496.22 |==================


Stress-NG 0.16.04
Test: MEMFD
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 437.04 |======================


Stress-NG 0.16.04
Test: Mutex
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 36913960.47 |=================


Stress-NG 0.16.04
Test: Atomic
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 206.31 |======================


Stress-NG 0.16.04
Test: Crypto
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 123450.01 |===================


Stress-NG 0.16.04
Test: Malloc
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 186568211.34 |================


Stress-NG 0.16.04
Test: Cloning
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 7463.78 |=====================


Stress-NG 0.16.04
Test: Forking
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 61808.18 |====================


Stress-NG 0.16.04
Test: Pthread
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 108230.65 |===================


Stress-NG 0.16.04
Test: AVL Tree
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 558.18 |======================


Stress-NG 0.16.04
Test: IO_uring
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 6295021.37 |==================


Stress-NG 0.16.04
Test: SENDFILE
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 839871.86 |===================


Stress-NG 0.16.04
Test: CPU Cache
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 1414607.05 |==================


Stress-NG 0.16.04
Test: CPU Stress
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 128172.34 |===================


Stress-NG 0.16.04
Test: Semaphores
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 140637012.03 |================


Stress-NG 0.16.04
Test: Matrix Math
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 223038.42 |===================


Stress-NG 0.16.04
Test: Vector Math
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 341516.25 |===================


Stress-NG 0.16.04
Test: AVX-512 VNNI
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 3797236.44 |==================


Stress-NG 0.16.04
Test: Function Call
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 38065.86 |====================


Stress-NG 0.16.04
Test: x86_64 RdRand
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 17319858.87 |=================


Stress-NG 0.16.04
Test: Floating Point
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 17129.98 |====================


Stress-NG 0.16.04
Test: Matrix 3D Math
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 5709 |========================


Stress-NG 0.16.04
Test: Memory Copying
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 13220.97 |====================


Stress-NG 0.16.04
Test: Vector Shuffle
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 36503.49 |====================


Stress-NG 0.16.04
Test: Mixed Scheduler
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 53645.16 |====================


Stress-NG 0.16.04
Test: Socket Activity
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 9049.41 |=====================


Stress-NG 0.16.04
Test: Wide Vector Math
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 2104650.98 |==================


Stress-NG 0.16.04
Test: Context Switching
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 7733688.1 |===================


Stress-NG 0.16.04
Test: Fused Multiply-Add
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 49433147.11 |=================


Stress-NG 0.16.04
Test: Vector Floating Point
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 156275.9 |====================


Stress-NG 0.16.04
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 45614430.99 |=================


Stress-NG 0.16.04
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 1272.64 |=====================


Stress-NG 0.16.04
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 8956860.19 |==================


Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 37.60 |=======================


Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 1102.88 |=====================


Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 487.36 |======================


Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 143.97 |======================


Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 467.51 |======================


Neural Magic DeepSparse 1.5
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better


Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 224.75 |======================


Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 46.48 |=======================


Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 467.08 |======================


Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 228.64 |======================


Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 328.07 |======================


Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 53.66 |=======================


Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 575.44 |======================


Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 166.70 |======================


Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 37.63 |=======================


Apache Cassandra 4.1.3
Test: Writes
Op/s > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 227576 |======================


Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 2233880.23 |==================


Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5
Ops/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 2318759.53 |==================


Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 2223166.07 |==================


Redis 7.0.12 + memtier_benchmark 2.0
Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 2450822.55 |==================


BRL-CAD 7.36
VGR Performance Metric
VGR Performance Metric > Higher Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 735105 |======================


NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 14.09 |=======================


NCNN 20230517
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 6.3 |=========================


NCNN 20230517
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 6.94 |========================


NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 8.88 |========================


NCNN 20230517
Target: CPU - Model: mnasnet
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 5.87 |========================


NCNN 20230517
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 9.96 |========================


NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 4.92 |========================


NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 14.39 |=======================


NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 23.78 |=======================


NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 8.57 |========================


NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 5.25 |========================


NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 15.48 |=======================


NCNN 20230517
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 21.04 |=======================


NCNN 20230517
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 13.92 |=======================


NCNN 20230517
Target: CPU - Model: regnety_400m
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 36.69 |=======================


NCNN 20230517
Target: CPU - Model: vision_transformer
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 47.5 |========================


NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 11.87 |=======================


Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 842.27 |======================


Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 28.99 |=======================


Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 65.62 |=======================


Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 222.07 |======================


Neural Magic DeepSparse 1.5
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 68.31 |=======================


Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 142.02 |======================


Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 681.49 |======================


Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 68.44 |=======================


Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 139.57 |======================


Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 97.31 |=======================


Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 596.06 |======================


Neural Magic DeepSparse 1.5
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 55.53 |=======================


Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 191.49 |======================


Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X . 838.07 |======================