EPYC Genoa Linux Distros Suite
1.0.0
System
Test suite extracted from EPYC Genoa Linux Distros.
system/wireguard-1.0.1
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/nwchem-1.1.1
Input: C240 Buckyball
pts/dacapobench-1.0.1
h2
Java Test: H2
pts/dacapobench-1.0.1
jython
Java Test: Jython
pts/dacapobench-1.0.1
tradebeans
Java Test: Tradebeans
pts/renaissance-1.3.0
dotty
Test: Scala Dotty
pts/renaissance-1.3.0
dec-tree
Test: Random Forest
pts/renaissance-1.3.0
movie-lens
Test: ALS Movie Lens
pts/renaissance-1.3.0
als
Test: Apache Spark ALS
pts/renaissance-1.3.0
naive-bayes
Test: Apache Spark Bayes
pts/renaissance-1.3.0
page-rank
Test: Apache Spark PageRank
pts/renaissance-1.3.0
finagle-http
Test: Finagle HTTP Requests
pts/renaissance-1.3.0
db-shootout
Test: In-Memory Database Shootout
pts/renaissance-1.3.0
akka-uct
Test: Akka Unbalanced Cobwebbed Tree
pts/renaissance-1.3.0
future-genetic
Test: Genetic Algorithm Using Jenetics + Futures
system/compress-zstd-1.5.0
-b8
Compression Level: 8 - Compression Speed
system/compress-zstd-1.5.0
-b8
Compression Level: 8 - Decompression Speed
system/compress-zstd-1.5.0
-b19
Compression Level: 19 - Compression Speed
system/compress-zstd-1.5.0
-b19
Compression Level: 19 - Decompression Speed
system/compress-zstd-1.5.0
-b8 --long
Compression Level: 8, Long Mode - Compression Speed
system/compress-zstd-1.5.0
-b8 --long
Compression Level: 8, Long Mode - Decompression Speed
system/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Compression Speed
system/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Decompression Speed
pts/embree-1.2.1
pathtracer_ispc -c crown/crown.ecs
Binary: Pathtracer ISPC - Model: Crown
pts/embree-1.2.1
pathtracer_ispc -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon
pts/svt-av1-2.7.0
--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 8 - Input: Bosphorus 4K
pts/svt-av1-2.7.0
--preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 12 - Input: Bosphorus 4K
pts/svt-av1-2.7.0
--preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160
Encoder Mode: Preset 13 - Input: Bosphorus 4K
pts/oidn-1.4.0
-r RT.hdr_alb_nrm.3840x2160
Run: RT.hdr_alb_nrm.3840x2160
pts/oidn-1.4.0
-r RTLightmap.hdr.4096x4096
Run: RTLightmap.hdr.4096x4096
pts/openvkl-1.3.0
vklBenchmark --benchmark_filter=ispc
Benchmark: vklBenchmark ISPC
pts/ospray-2.10.0
--benchmark_filter=particle_volume/ao/real_time
Benchmark: particle_volume/ao/real_time
pts/ospray-2.10.0
--benchmark_filter=particle_volume/scivis/real_time
Benchmark: particle_volume/scivis/real_time
pts/ospray-2.10.0
--benchmark_filter=particle_volume/pathtracer/real_time
Benchmark: particle_volume/pathtracer/real_time
pts/ospray-2.10.0
--benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
pts/ospray-2.10.0
--benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
pts/ospray-2.10.0
--benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
pts/compress-7zip-1.10.0
Test: Compression Rating
pts/compress-7zip-1.10.0
Test: Decompression Rating
pts/build-gem5-1.0.0
Time To Compile
pts/build-linux-kernel-1.15.0
defconfig
Build: defconfig
pts/build-linux-kernel-1.15.0
allmodconfig
Build: allmodconfig
pts/build-nodejs-1.2.0
Time To Compile
pts/onednn-3.0.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
pts/onednn-3.0.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
pts/onednn-3.0.0
--rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-3.0.0
--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
system/openssl-1.1.2
pts/spark-1.0.0
-r 10000000 -p 100
Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time
pts/spark-1.0.0
-r 10000000 -p 100
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark
pts/spark-1.0.0
-r 10000000 -p 100
Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe
pts/spark-1.0.0
-r 10000000 -p 100
Row Count: 10000000 - Partitions: 100 - Group By Test Time
pts/spark-1.0.0
-r 10000000 -p 100
Row Count: 10000000 - Partitions: 100 - Repartition Test Time
pts/spark-1.0.0
-r 10000000 -p 100
Row Count: 10000000 - Partitions: 100 - Inner Join Test Time
pts/spark-1.0.0
-r 10000000 -p 100
Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time
pts/spark-1.0.0
-r 10000000 -p 500
Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time
pts/spark-1.0.0
-r 10000000 -p 500
Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark
pts/spark-1.0.0
-r 10000000 -p 500
Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
pts/cockroach-1.0.2
movr --concurrency 128
Workload: MoVR - Concurrency: 128
pts/cockroach-1.0.2
movr --concurrency 512
Workload: MoVR - Concurrency: 512
pts/cockroach-1.0.2
movr --concurrency 1024
Workload: MoVR - Concurrency: 1024
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 10 --concurrency 128
Workload: KV, 10% Reads - Concurrency: 128
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 10 --concurrency 512
Workload: KV, 10% Reads - Concurrency: 512
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 50 --concurrency 128
Workload: KV, 50% Reads - Concurrency: 128
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 50 --concurrency 512
Workload: KV, 50% Reads - Concurrency: 512
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 60 --concurrency 128
Workload: KV, 60% Reads - Concurrency: 128
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 60 --concurrency 512
Workload: KV, 60% Reads - Concurrency: 512
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 95 --concurrency 128
Workload: KV, 95% Reads - Concurrency: 128
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 95 --concurrency 512
Workload: KV, 95% Reads - Concurrency: 512
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 10 --concurrency 1024
Workload: KV, 10% Reads - Concurrency: 1024
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 50 --concurrency 1024
Workload: KV, 50% Reads - Concurrency: 1024
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 60 --concurrency 1024
Workload: KV, 60% Reads - Concurrency: 1024
pts/cockroach-1.0.2
kv --ramp 10s --read-percent 95 --concurrency 1024
Workload: KV, 95% Reads - Concurrency: 1024
pts/gromacs-1.7.0
mpi-build water-cut1.0_GMX50_bare/1536
Implementation: MPI CPU - Input: water_GMX50_bare
pts/mysqlslap-1.3.0
--concurrency=256
Clients: 256
pts/pgbench-1.12.0
-s 100 -c 250 -S
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
pts/pgbench-1.12.0
-s 100 -c 250 -S
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
pts/pgbench-1.12.0
-s 100 -c 500 -S
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
pts/pgbench-1.12.0
-s 100 -c 500 -S
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
pts/pgbench-1.12.0
-s 100 -c 250
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
pts/pgbench-1.12.0
-s 100 -c 250
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
pts/pgbench-1.12.0
-s 100 -c 500
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
pts/pgbench-1.12.0
-s 100 -c 500
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
pts/gpaw-1.1.0
carbon-nanotube
Input: Carbon Nanotube
pts/blender-3.4.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Classroom - Compute: CPU-Only
pts/openvino-1.2.0
-m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU
Model: Face Detection FP16 - Device: CPU
pts/openvino-1.2.0
-m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU
Model: Person Detection FP16 - Device: CPU
pts/openvino-1.2.0
-m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU
Model: Person Detection FP32 - Device: CPU
pts/openvino-1.2.0
-m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU
Model: Vehicle Detection FP16 - Device: CPU
pts/openvino-1.2.0
-m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU
Model: Face Detection FP16-INT8 - Device: CPU
pts/openvino-1.2.0
-m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU
Model: Vehicle Detection FP16-INT8 - Device: CPU
pts/openvino-1.2.0
-m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU
Model: Weld Porosity Detection FP16 - Device: CPU
pts/openvino-1.2.0
-m models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml -d CPU
Model: Machine Translation EN To DE FP16 - Device: CPU
pts/openvino-1.2.0
-m models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml -d CPU
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
pts/openvino-1.2.0
-m models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU
Model: Person Vehicle Bike Detection FP16 - Device: CPU
pts/openvino-1.2.0
-m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
pts/openvino-1.2.0
-m models/intel/age-gender-recognition-retail-0013/FP16-INT8/age-gender-recognition-retail-0013.xml -d CPU
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
pts/cassandra-1.1.1
WRITE
Test: Writes
pts/pybench-1.1.3
Total For Average Test Times
pts/pyperformance-1.0.2
go
Benchmark: go
pts/pyperformance-1.0.2
2to3
Benchmark: 2to3
pts/pyperformance-1.0.2
chaos
Benchmark: chaos
pts/pyperformance-1.0.2
float
Benchmark: float
pts/pyperformance-1.0.2
nbody
Benchmark: nbody
pts/pyperformance-1.0.2
pathlib
Benchmark: pathlib
pts/pyperformance-1.0.2
raytrace
Benchmark: raytrace
pts/pyperformance-1.0.2
json_loads
Benchmark: json_loads
pts/pyperformance-1.0.2
crypto_pyaes
Benchmark: crypto_pyaes
pts/pyperformance-1.0.2
regex_compile
Benchmark: regex_compile
pts/pyperformance-1.0.2
python_startup
Benchmark: python_startup
pts/pyperformance-1.0.2
django_template
Benchmark: django_template
pts/pyperformance-1.0.2
pickle_pure_python
Benchmark: pickle_pure_python
pts/numenta-nab-1.1.1
-d knncad
Detector: KNN CAD
pts/numenta-nab-1.1.1
-d relativeEntropy
Detector: Relative Entropy
pts/numenta-nab-1.1.1
-d windowedGaussian
Detector: Windowed Gaussian
pts/numenta-nab-1.1.1
-d earthgeckoSkyline
Detector: Earthgecko Skyline
pts/numenta-nab-1.1.1
-d bayesChangePt
Detector: Bayesian Changepoint
pts/numenta-nab-1.1.1
-d contextOSE
Detector: Contextual Anomaly Detector OSE
pts/phpbench-1.1.6
PHP Benchmark Suite