AMD EPYC 7763 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2308279-NE-STRESSEXT05 stress extra - Phoronix Test Suite 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.
HTML result view exported from: https://openbenchmarking.org/result/2308279-NE-STRESSEXT05 .
stress extra Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads) AMD DAYTONA_X (RYM1009B BIOS) AMD Starship/Matisse 256GB 3841GB Micron_9300_MTFDHAL3T8TDP ASPEED VE228 2 x Mellanox MT27710 Ubuntu 22.04 5.15.0-47-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 1.2.204 GCC 11.2.0 ext4 1920x1080 OpenBenchmarking.org - Transparent Huge Pages: madvise - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 - OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04) - Python 3.10.6 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
stress extra deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: ResNet-50, Baseline - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream memtier-benchmark: Redis - 50 - 1:5 memtier-benchmark: Redis - 100 - 1:5 memtier-benchmark: Redis - 50 - 1:10 memtier-benchmark: Redis - 100 - 1:10 stress-ng: Hash stress-ng: MMAP stress-ng: NUMA stress-ng: Pipe stress-ng: Poll stress-ng: Zlib stress-ng: Futex stress-ng: MEMFD stress-ng: Mutex stress-ng: Atomic stress-ng: Crypto stress-ng: Malloc stress-ng: Cloning stress-ng: Forking stress-ng: Pthread stress-ng: AVL Tree stress-ng: IO_uring stress-ng: SENDFILE stress-ng: CPU Cache stress-ng: CPU Stress stress-ng: Semaphores stress-ng: Matrix Math stress-ng: Vector Math stress-ng: AVX-512 VNNI stress-ng: Function Call stress-ng: x86_64 RdRand stress-ng: Floating Point stress-ng: Matrix 3D Math stress-ng: Memory Copying stress-ng: Vector Shuffle stress-ng: Mixed Scheduler stress-ng: Socket Activity stress-ng: Wide Vector Math stress-ng: Context Switching stress-ng: Fused Multiply-Add stress-ng: Vector Floating Point stress-ng: Glibc C String Functions stress-ng: Glibc Qsort Data Sorting stress-ng: System V Message Passing ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: CPU - squeezenet_ssd ncnn: CPU - regnety_400m ncnn: CPU - vision_transformer ncnn: CPU - FastestDet cassandra: Writes brl-cad: VGR Performance Metric AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 37.5977 842.2719 1102.8786 28.9855 487.3574 65.6178 143.9746 222.0683 467.5086 68.3081 224.7545 142.0216 46.4849 681.4891 467.0794 68.4423 228.638 139.5721 328.0733 97.3098 53.6599 596.0641 575.436 55.529 166.699 191.4891 37.6277 838.0698 2233880.23 2318759.53 2223166.07 2450822.55 11144840.42 1233.47 291.55 37830030.68 7893061.95 6210.36 2343496.22 437.04 36913960.47 206.31 123450.01 186568211.34 7463.78 61808.18 108230.65 558.18 6295021.37 839871.86 1414607.05 128172.34 140637012.03 223038.42 341516.25 3797236.44 38065.86 17319858.87 17129.98 5709 13220.97 36503.49 53645.16 9049.41 2104650.98 7733688.1 49433147.11 156275.9 45614430.99 1272.64 8956860.19 14.09 6.3 6.94 8.88 5.87 9.96 4.92 14.39 23.78 8.57 5.25 15.48 21.04 13.92 36.69 47.5 11.87 227576 735105 OpenBenchmarking.org
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 9 18 27 36 45 37.60
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 200 400 600 800 1000 842.27
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 200 400 600 800 1000 1102.88
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 7 14 21 28 35 28.99
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 110 220 330 440 550 487.36
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 15 30 45 60 75 65.62
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 30 60 90 120 150 143.97
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 50 100 150 200 250 222.07
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 100 200 300 400 500 467.51
Neural Magic DeepSparse Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 15 30 45 60 75 68.31
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 50 100 150 200 250 224.75
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 30 60 90 120 150 142.02
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 11 22 33 44 55 46.48
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 150 300 450 600 750 681.49
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 100 200 300 400 500 467.08
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 15 30 45 60 75 68.44
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 50 100 150 200 250 228.64
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 30 60 90 120 150 139.57
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 70 140 210 280 350 328.07
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 20 40 60 80 100 97.31
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 12 24 36 48 60 53.66
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 130 260 390 520 650 596.06
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 120 240 360 480 600 575.44
Neural Magic DeepSparse Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 12 24 36 48 60 55.53
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 40 80 120 160 200 166.70
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 40 80 120 160 200 191.49
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 9 18 27 36 45 37.63
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 200 400 600 800 1000 838.07
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 500K 1000K 1500K 2000K 2500K 2233880.23 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 500K 1000K 1500K 2000K 2500K 2318759.53 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 500K 1000K 1500K 2000K 2500K 2223166.07 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Redis 7.0.12 + memtier_benchmark Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec, More Is Better Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 500K 1000K 1500K 2000K 2500K 2450822.55 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Stress-NG Test: Hash OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Hash AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 2M 4M 6M 8M 10M 11144840.42 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: MMAP OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: MMAP AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 300 600 900 1200 1500 1233.47 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: NUMA OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: NUMA AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 60 120 180 240 300 291.55 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Pipe OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Pipe AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 8M 16M 24M 32M 40M 37830030.68 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Poll OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Poll AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 2M 4M 6M 8M 10M 7893061.95 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Zlib OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Zlib AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 1300 2600 3900 5200 6500 6210.36 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Futex OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Futex AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 500K 1000K 1500K 2000K 2500K 2343496.22 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: MEMFD OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: MEMFD AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 90 180 270 360 450 437.04 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Mutex OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Mutex AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 8M 16M 24M 32M 40M 36913960.47 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Atomic OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Atomic AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 50 100 150 200 250 206.31 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Crypto OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Crypto AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 30K 60K 90K 120K 150K 123450.01 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Malloc OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Malloc AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 40M 80M 120M 160M 200M 186568211.34 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Cloning OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Cloning AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 1600 3200 4800 6400 8000 7463.78 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Forking OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Forking AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 13K 26K 39K 52K 65K 61808.18 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Pthread OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Pthread AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 20K 40K 60K 80K 100K 108230.65 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: AVL Tree OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: AVL Tree AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 120 240 360 480 600 558.18 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: IO_uring OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: IO_uring AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 1.3M 2.6M 3.9M 5.2M 6.5M 6295021.37 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: SENDFILE OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: SENDFILE AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 200K 400K 600K 800K 1000K 839871.86 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: CPU Cache OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: CPU Cache AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 300K 600K 900K 1200K 1500K 1414607.05 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: CPU Stress OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: CPU Stress AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 30K 60K 90K 120K 150K 128172.34 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Semaphores OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Semaphores AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 30M 60M 90M 120M 150M 140637012.03 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Matrix Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Matrix Math AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 50K 100K 150K 200K 250K 223038.42 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Vector Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Vector Math AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 70K 140K 210K 280K 350K 341516.25 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: AVX-512 VNNI OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: AVX-512 VNNI AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 800K 1600K 2400K 3200K 4000K 3797236.44 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Function Call OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Function Call AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 8K 16K 24K 32K 40K 38065.86 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: x86_64 RdRand OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: x86_64 RdRand AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 4M 8M 12M 16M 20M 17319858.87 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Floating Point OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Floating Point AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 4K 8K 12K 16K 20K 17129.98 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Matrix 3D Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Matrix 3D Math AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 1200 2400 3600 4800 6000 5709 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Memory Copying OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Memory Copying AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 3K 6K 9K 12K 15K 13220.97 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Vector Shuffle OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Vector Shuffle AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 8K 16K 24K 32K 40K 36503.49 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Mixed Scheduler OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Mixed Scheduler AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 11K 22K 33K 44K 55K 53645.16 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Socket Activity OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Socket Activity AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 2K 4K 6K 8K 10K 9049.41 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Wide Vector Math OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Wide Vector Math AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 500K 1000K 1500K 2000K 2500K 2104650.98 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Context Switching OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Context Switching AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 1.7M 3.4M 5.1M 6.8M 8.5M 7733688.1 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Fused Multiply-Add OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Fused Multiply-Add AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 11M 22M 33M 44M 55M 49433147.11 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Vector Floating Point OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Vector Floating Point AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 30K 60K 90K 120K 150K 156275.9 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Glibc C String Functions OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Glibc C String Functions AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 10M 20M 30M 40M 50M 45614430.99 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: Glibc Qsort Data Sorting OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: Glibc Qsort Data Sorting AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 300 600 900 1200 1500 1272.64 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
Stress-NG Test: System V Message Passing OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.16.04 Test: System V Message Passing AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 2M 4M 6M 8M 10M 8956860.19 1. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lpthread -lrt -lsctp -lz
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: mobilenet AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 4 8 12 16 20 14.09 MIN: 13.84 / MAX: 18.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 2 4 6 8 10 6.3 MIN: 6.16 / MAX: 7.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 2 4 6 8 10 6.94 MIN: 6.3 / MAX: 14.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: shufflenet-v2 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 2 4 6 8 10 8.88 MIN: 7.69 / MAX: 10.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: mnasnet AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 1.3208 2.6416 3.9624 5.2832 6.604 5.87 MIN: 5.79 / MAX: 10.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: efficientnet-b0 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 3 6 9 12 15 9.96 MIN: 9.8 / MAX: 16.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: blazeface AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 1.107 2.214 3.321 4.428 5.535 4.92 MIN: 3.74 / MAX: 6.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: googlenet AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 4 8 12 16 20 14.39 MIN: 14.21 / MAX: 19.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vgg16 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 6 12 18 24 30 23.78 MIN: 23.36 / MAX: 28.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet18 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 2 4 6 8 10 8.57 MIN: 8.19 / MAX: 47.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: alexnet AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 1.1813 2.3626 3.5439 4.7252 5.9065 5.25 MIN: 5.12 / MAX: 6.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: resnet50 AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 4 8 12 16 20 15.48 MIN: 15.3 / MAX: 23.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: yolov4-tiny AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 5 10 15 20 25 21.04 MIN: 20.37 / MAX: 31.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: squeezenet_ssd AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 4 8 12 16 20 13.92 MIN: 13.35 / MAX: 18.54 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: regnety_400m AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 8 16 24 32 40 36.69 MIN: 29.33 / MAX: 42.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vision_transformer OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: vision_transformer AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 11 22 33 44 55 47.5 MIN: 46.58 / MAX: 53.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: FastestDet OpenBenchmarking.org ms, Fewer Is Better NCNN 20230517 Target: CPU - Model: FastestDet AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 3 6 9 12 15 11.87 MIN: 9.15 / MAX: 16.15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.1.3 Test: Writes AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 50K 100K 150K 200K 250K 227576
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.36 VGR Performance Metric AMD EPYC 7763 64-Core - ASPEED - AMD DAYTONA_X 160K 320K 480K 640K 800K 735105 1. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6
Phoronix Test Suite v10.8.4