Ubuntu 21.10 EPYC Milan Suite
1.0.0
System
Test suite extracted from Ubuntu 21.10 EPYC Milan.
pts/stress-ng-1.4.0
--rdrand 0
Test: RdRand
pts/stress-ng-1.4.0
--mmap 0
Test: MMAP
pts/stress-ng-1.4.0
--numa 0
Test: NUMA
pts/stress-ng-1.4.0
--memfd 0
Test: MEMFD
pts/stress-ng-1.4.0
--atomic 0
Test: Atomic
pts/stress-ng-1.4.0
--crypt 0
Test: Crypto
pts/stress-ng-1.4.0
--malloc 0
Test: Malloc
pts/stress-ng-1.4.0
--fork 0
Test: Forking
pts/stress-ng-1.4.0
--io-uring 0
Test: IO_uring
pts/stress-ng-1.4.0
--sendfile 0
Test: SENDFILE
pts/stress-ng-1.4.0
--cache 0
Test: CPU Cache
pts/stress-ng-1.4.0
--cpu 0 --cpu-method all
Test: CPU Stress
pts/stress-ng-1.4.0
--sem 0
Test: Semaphores
pts/stress-ng-1.4.0
--matrix 0
Test: Matrix Math
pts/stress-ng-1.4.0
--vecmath 0
Test: Vector Math
pts/stress-ng-1.4.0
--memcpy 0
Test: Memory Copying
pts/stress-ng-1.4.0
--sock 0
Test: Socket Activity
pts/stress-ng-1.4.0
--switch 0
Test: Context Switching
pts/stress-ng-1.4.0
--str 0
Test: Glibc C String Functions
pts/stress-ng-1.4.0
--qsort 0
Test: Glibc Qsort Data Sorting
pts/stress-ng-1.4.0
--msg 0
Test: System V Message Passing
pts/openssl-3.0.1
sha256
Algorithm: SHA256
pts/sysbench-1.1.0
cpu run
Test: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train imdb_lstm CPU
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train mobilenet CPU
FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train densenet201 CPU
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train inception_v3 CPU
FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train nasnet_large CPU
FP16: No - Mode: Inference - Network: NASNer Large - Device: CPU
pts/ospray-1.0.3
sanm/sanm.obj -vp 22.958788 3.204613 2.712676 -vu 0.000000 1.000000 0.000000 -vi 12.364944 0.176316 4.009342 -sg:sun:intensity=4.0 -sg:sun:direction=0,-1,0 -sg:bounce:intensity=0.0 --hdri-light rnl_probe.pfm -sg:hdri:intensity=1.25 --renderer scivis
Demo: San Miguel - Renderer: SciVis
pts/ospray-1.0.3
sanm/sanm.obj -vp 22.958788 3.204613 2.712676 -vu 0.000000 1.000000 0.000000 -vi 12.364944 0.176316 4.009342 -sg:sun:intensity=4.0 -sg:sun:direction=0,-1,0 -sg:bounce:intensity=0.0 --hdri-light rnl_probe.pfm -sg:hdri:intensity=1.25 --renderer pathtracer
Demo: San Miguel - Renderer: Path Tracer
pts/ospray-1.0.3
NASA-B-field-sun.osx --renderer scivis
Demo: NASA Streamlines - Renderer: SciVis
pts/ospray-1.0.3
magnetic-512-volume/magnetic-512-volume.osp --renderer scivis
Demo: Magnetic Reconnection - Renderer: SciVis
pts/ospray-1.0.3
NASA-B-field-sun.osx --renderer pathtracer
Demo: NASA Streamlines - Renderer: Path Tracer
pts/ospray-1.0.3
magnetic-512-volume/magnetic-512-volume.osp --renderer pathtracer
Demo: Magnetic Reconnection - Renderer: Path Tracer
pts/ttsiod-renderer-1.7.0
Phong Rendering With Soft-Shadow Mapping
pts/plaidml-1.0.4
--no-fp16 --no-train vgg16 CPU
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train vgg19 CPU
FP16: No - Mode: Inference - Network: VGG19 - Device: CPU
pts/plaidml-1.0.4
--no-fp16 --no-train resnet50 CPU
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
pts/natron-1.0.0
Natron_2.3.12_Spaceship/Natron_project/Spaceship_Natron.ntp
Input: Spaceship
pts/aom-av1-2.4.0
--cpu-used=6 Bosphorus_3840x2160.y4m
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
pts/aom-av1-2.4.0
--cpu-used=8 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
pts/aom-av1-2.4.0
--cpu-used=9 --rt Bosphorus_3840x2160.y4m
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
pts/embree-1.2.1
pathtracer -c crown/crown.ecs
Binary: Pathtracer - Model: Crown
pts/embree-1.2.1
pathtracer_ispc -c crown/crown.ecs
Binary: Pathtracer ISPC - Model: Crown
pts/embree-1.2.1
pathtracer -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon
pts/embree-1.2.1
pathtracer_ispc -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon
pts/svt-av1-2.3.0
--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 8 - Input: Bosphorus 4K
pts/svt-hevc-1.2.0
-encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 7 - Input: Bosphorus 1080p
pts/svt-hevc-1.2.0
-encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: 10 - Input: Bosphorus 1080p
pts/svt-vp9-1.3.0
-tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080
Tuning: VMAF Optimized - Input: Bosphorus 1080p
pts/vpxenc-3.1.0
--cpu-used=0 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160
Speed: Speed 0 - Input: Bosphorus 4K
pts/vpxenc-3.1.0
--cpu-used=5 ~/Bosphorus_3840x2160.y4m --width=3840 --height=2160
Speed: Speed 5 - Input: Bosphorus 4K
pts/x265-1.3.0
Bosphorus_3840x2160.y4m
Video Input: Bosphorus 4K
pts/x265-1.3.0
Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m
Video Input: Bosphorus 1080p
pts/simdjson-1.3.0
kostya
Throughput Test: Kostya
pts/simdjson-1.3.0
large_random
Throughput Test: LargeRandom
pts/simdjson-1.3.0
partial_tweets
Throughput Test: PartialTweets
pts/simdjson-1.3.0
distinct_user_id
Throughput Test: DistinctUserID
pts/xmrig-1.0.0
--bench=1M
Variant: Monero - Hash Count: 1M
pts/xmrig-1.0.0
-a rx/wow --bench=1M
Variant: Wownero - Hash Count: 1M
pts/oidn-1.4.0
-r RT.ldr_alb_nrm.3840x2160
Run: RT.ldr_alb_nrm.3840x2160
pts/onnx-1.1.0
yolov4/yolov4.onnx -e cpu
Model: yolov4 - Device: OpenMP CPU
pts/onnx-1.1.0
download_sample_10/bertsquad10.onnx -e cpu
Model: bertsquad-10 - Device: OpenMP CPU
pts/onnx-1.1.0
fcn-resnet101-11/model.onnx -e cpu
Model: fcn-resnet101-11 - Device: OpenMP CPU
pts/onnx-1.1.0
model/test_shufflenetv2/model.onnx -e cpu
Model: shufflenet-v2-10 - Device: OpenMP CPU
pts/onnx-1.1.0
super_resolution/super_resolution.onnx -e cpu
Model: super-resolution-10 - Device: OpenMP CPU
pts/cpuminer-opt-1.5.1
-a m7m
Algorithm: Magi
pts/cpuminer-opt-1.5.1
-a x25x
Algorithm: x25x
pts/cpuminer-opt-1.5.1
-a deep
Algorithm: Deepcoin
pts/cpuminer-opt-1.5.1
-a minotaur
Algorithm: Ringcoin
pts/cpuminer-opt-1.5.1
-a blake2s
Algorithm: Blake-2 S
pts/cpuminer-opt-1.5.1
-a allium
Algorithm: Garlicoin
pts/cpuminer-opt-1.5.1
-a skein
Algorithm: Skeincoin
pts/cpuminer-opt-1.5.1
-a myr-gr
Algorithm: Myriad-Groestl
pts/cpuminer-opt-1.5.1
-a lbry
Algorithm: LBC, LBRY Credits
pts/cpuminer-opt-1.5.1
-a sha256q
Algorithm: Quad SHA-256, Pyrite
pts/cpuminer-opt-1.5.1
-a sha256t
Algorithm: Triple SHA-256, Onecoin
pts/luxcorerender-1.3.0
DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: DLSC - Acceleration: CPU
pts/luxcorerender-1.3.0
DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Danish Mood - Acceleration: CPU
pts/luxcorerender-1.3.0
OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Orange Juice - Acceleration: CPU
pts/luxcorerender-1.3.0
LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: LuxCore Benchmark - Acceleration: CPU
pts/luxcorerender-1.3.0
RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Rainbow Colors and Prism - Acceleration: CPU
pts/securemark-1.0.0
Benchmark: SecureMark-TLS
pts/sysbench-1.1.0
memory run
Test: RAM / Memory
pts/compress-7zip-1.7.1
Compress Speed Test
pts/jpegxl-1.3.0
sample-4.png out.jxl -s 5 --num_reps 55
Input: PNG - Encode Speed: 5
pts/jpegxl-1.3.0
sample-4.png out.jxl -s 7 --num_reps 45
Input: PNG - Encode Speed: 7
pts/jpegxl-1.3.0
sample-4.png out.jxl -s 8 --num_reps 12
Input: PNG - Encode Speed: 8
pts/jpegxl-1.3.0
sample-photo-6000x4000.JPG out.jxl -s 5 --num_reps 55
Input: JPEG - Encode Speed: 5
pts/jpegxl-1.3.0
sample-photo-6000x4000.JPG out.jxl -s 7 --num_reps 45
Input: JPEG - Encode Speed: 7
pts/jpegxl-1.3.0
sample-photo-6000x4000.JPG out.jxl -s 8 --num_reps 12
Input: JPEG - Encode Speed: 8
pts/lczero-1.6.0
-b blas
Backend: BLAS
pts/lczero-1.6.0
-b eigen
Backend: Eigen
pts/stockfish-1.3.0
Total Time
pts/gromacs-1.6.0
mpi-build water-cut1.0_GMX50_bare/1536
Implementation: MPI CPU - Input: water_GMX50_bare
pts/lammps-1.3.2
benchmark_20k_atoms.in
Model: 20k Atoms
pts/lammps-1.3.2
in.rhodo
Model: Rhodopsin Protein
pts/cassandra-1.1.1
WRITE
Test: Writes
pts/rocksdb-1.1.0
--benchmarks="fillrandom"
Test: Random Fill
pts/rocksdb-1.1.0
--benchmarks="updaterandom"
Test: Update Random
pts/rocksdb-1.1.0
--benchmarks="readrandomwriterandom"
Test: Read Random Write Random
pts/mysqlslap-1.2.0
--concurrency=512
Clients: 512
pts/redis-1.3.1
-t get
Test: GET
pts/redis-1.3.1
-t set
Test: SET
pts/nginx-2.0.0
-c 1
Concurrent Requests: 1
pts/nginx-2.0.0
-c 20
Concurrent Requests: 20
pts/nginx-2.0.0
-c 100
Concurrent Requests: 100
pts/nginx-2.0.0
-c 200
Concurrent Requests: 200
pts/nginx-2.0.0
-c 500
Concurrent Requests: 500
pts/nginx-2.0.0
-c 1000
Concurrent Requests: 1000
pts/apache-2.0.0
-c 1
Concurrent Requests: 1
pts/apache-2.0.0
-c 20
Concurrent Requests: 20
pts/apache-2.0.0
-c 100
Concurrent Requests: 100
pts/apache-2.0.0
-c 200
Concurrent Requests: 200
pts/apache-2.0.0
-c 500
Concurrent Requests: 500
pts/apache-2.0.0
-c 1000
Concurrent Requests: 1000
pts/openssl-3.0.1
rsa4096
Algorithm: RSA4096
pts/npb-1.4.4
cg.C
Test / Class: CG.C
pts/npb-1.4.4
ft.C
Test / Class: FT.C
pts/npb-1.4.4
is.D
Test / Class: IS.D
pts/npb-1.4.4
lu.C
Test / Class: LU.C
pts/npb-1.4.4
mg.C
Test / Class: MG.C
pts/npb-1.4.4
sp.B
Test / Class: SP.B
pts/npb-1.4.4
sp.C
Test / Class: SP.C
pts/pgbench-1.11.0
-s 100 -c 250 -S
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
pts/pgbench-1.11.0
-s 100 -c 500 -S
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
pts/pgbench-1.11.0
-s 100 -c 250
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
pts/pgbench-1.11.0
-s 100 -c 500
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
pts/pgbench-1.11.0
-s 1000 -c 250 -S
Scaling Factor: 1000 - Clients: 250 - Mode: Read Only
pts/pgbench-1.11.0
-s 1000 -c 500 -S
Scaling Factor: 1000 - Clients: 500 - Mode: Read Only
pts/pgbench-1.11.0
-s 1000 -c 250
Scaling Factor: 1000 - Clients: 250 - Mode: Read Write
pts/pgbench-1.11.0
-s 1000 -c 500
Scaling Factor: 1000 - Clients: 500 - Mode: Read Write
pts/brl-cad-1.2.0
VGR Performance Metric
pts/synthmark-1.0.1
-tv -p100 -s30
Test: VoiceMark_100
pts/v-ray-1.3.0
-m vray
Mode: CPU
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/tensorflow-lite-1.0.0
--graph=squeezenet.tflite
Model: SqueezeNet
pts/tensorflow-lite-1.0.0
--graph=inception_v4.tflite
Model: Inception V4
pts/tensorflow-lite-1.0.0
--graph=nasnet_mobile.tflite
Model: NASNet Mobile
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224.tflite
Model: Mobilenet Float
pts/tensorflow-lite-1.0.0
--graph=mobilenet_v1_1.0_224_quant.tflite
Model: Mobilenet Quant
pts/tensorflow-lite-1.0.0
--graph=inception_resnet_v2.tflite
Model: Inception ResNet V2
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.7.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/pgbench-1.11.0
-s 100 -c 250 -S
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
pts/pgbench-1.11.0
-s 100 -c 500 -S
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
pts/pgbench-1.11.0
-s 100 -c 250
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
pts/pgbench-1.11.0
-s 100 -c 500
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
pts/pgbench-1.11.0
-s 1000 -c 250 -S
Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latency
pts/pgbench-1.11.0
-s 1000 -c 500 -S
Scaling Factor: 1000 - Clients: 500 - Mode: Read Only - Average Latency
pts/pgbench-1.11.0
-s 1000 -c 250
Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average Latency
pts/pgbench-1.11.0
-s 1000 -c 500
Scaling Factor: 1000 - Clients: 500 - Mode: Read Write - Average Latency
pts/mnn-1.3.0
Model: mobilenetV3
pts/mnn-1.3.0
Model: squeezenetv1.1
pts/mnn-1.3.0
Model: resnet-v2-50
pts/mnn-1.3.0
Model: SqueezeNetV1.0
pts/mnn-1.3.0
Model: MobileNetV2_224
pts/mnn-1.3.0
Model: mobilenet-v1-1.0
pts/mnn-1.3.0
Model: inception-v3
pts/ncnn-1.3.0
-1
Target: CPU - Model: mobilenet
pts/ncnn-1.3.0
-1
Target: CPU-v2-v2 - Model: mobilenet-v2
pts/ncnn-1.3.0
-1
Target: CPU-v3-v3 - Model: mobilenet-v3
pts/ncnn-1.3.0
-1
Target: CPU - Model: shufflenet-v2
pts/ncnn-1.3.0
-1
Target: CPU - Model: mnasnet
pts/ncnn-1.3.0
-1
Target: CPU - Model: efficientnet-b0
pts/ncnn-1.3.0
-1
Target: CPU - Model: blazeface
pts/ncnn-1.3.0
-1
Target: CPU - Model: googlenet
pts/ncnn-1.3.0
-1
Target: CPU - Model: vgg16
pts/ncnn-1.3.0
-1
Target: CPU - Model: resnet18
pts/ncnn-1.3.0
-1
Target: CPU - Model: alexnet
pts/ncnn-1.3.0
-1
Target: CPU - Model: resnet50
pts/ncnn-1.3.0
-1
Target: CPU - Model: yolov4-tiny
pts/ncnn-1.3.0
-1
Target: CPU - Model: squeezenet_ssd
pts/ncnn-1.3.0
-1
Target: CPU - Model: regnety_400m
pts/tnn-1.1.0
-dt NAIVE -mp ../benchmark/benchmark-model/densenet.tnnproto
Target: CPU - Model: DenseNet
pts/tnn-1.1.0
-dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto
Target: CPU - Model: MobileNet v2
pts/tnn-1.1.0
-dt NAIVE -mp ../benchmark/benchmark-model/shufflenet_v2.tnnproto
Target: CPU - Model: SqueezeNet v2
pts/tnn-1.1.0
-dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto
Target: CPU - Model: SqueezeNet v1.1
pts/parboil-1.2.1
lbm omp_cpu long
Test: OpenMP LBM
pts/parboil-1.2.1
cutcp omp_base large
Test: OpenMP CUTCP
pts/parboil-1.2.1
mri-q omp_base large
Test: OpenMP MRI-Q
pts/parboil-1.2.1
stencil omp_base default
Test: OpenMP Stencil
pts/parboil-1.2.1
mri-gridding omp_base small
Test: OpenMP MRI Gridding
pts/rodinia-1.3.1
OMP_LAVAMD
Test: OpenMP LavaMD
pts/rodinia-1.3.1
OMP_HOTSPOT3D
Test: OpenMP HotSpot3D
pts/rodinia-1.3.1
OMP_LEUKOCYTE
Test: OpenMP Leukocyte
pts/rodinia-1.3.1
OMP_CFD
Test: OpenMP CFD Solver
pts/rodinia-1.3.1
OMP_STREAMCLUSTER
Test: OpenMP Streamcluster
pts/incompact3d-2.0.2
input_129_nodes.i3d
Input: input.i3d 129 Cells Per Direction
pts/incompact3d-2.0.2
input_193_nodes.i3d
Input: input.i3d 193 Cells Per Direction
pts/openfoam-1.0.1
Motorbike 150 60 60
Input: Motorbike 30M
pts/openfoam-1.0.1
Motorbike 300 120 120
Input: Motorbike 60M
pts/avifenc-1.1.1
-s 0
Encoder Speed: 0
pts/avifenc-1.1.1
-s 2
Encoder Speed: 2
pts/avifenc-1.1.1
-s 6
Encoder Speed: 6
pts/avifenc-1.1.1
-s 10
Encoder Speed: 10
pts/avifenc-1.1.1
-s 6 -l
Encoder Speed: 6, Lossless
pts/avifenc-1.1.1
-s 10 -l
Encoder Speed: 10, Lossless
pts/build-godot-1.0.0
Time To Compile
pts/build-linux-kernel-1.12.0
Time To Compile
pts/build-llvm-1.4.0
Ninja
Build System: Ninja
pts/build-llvm-1.4.0
Build System: Unix Makefiles
pts/build-nodejs-1.0.0
Time To Compile
pts/astcenc-1.3.0
-thorough
Preset: Thorough
pts/astcenc-1.3.0
-exhaustive
Preset: Exhaustive
pts/blender-1.9.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: BMW27 - Compute: CPU-Only
pts/blender-1.9.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 NONE
Blend File: Barbershop - Compute: CPU-Only
pts/appleseed-1.0.1
emily.appleseed
Scene: Emily
pts/appleseed-1.0.1
material_tester_ambient_occlusion.appleseed
Scene: Material Tester