AMD EPYC 9374F Genoa Zen 4 Linux Performance Suite
1.0.0
System
Test suite extracted from AMD EPYC 9374F Genoa Zen 4 Linux Performance.
pts/gpaw-1.1.0
carbon-nanotube
Input: Carbon Nanotube
pts/gromacs-1.7.0
mpi-build water-cut1.0_GMX50_bare/1536
Implementation: MPI CPU - Input: water_GMX50_bare
pts/namd-1.2.1
ATPase Simulation - 327,506 Atoms
pts/graph500-1.0.1
26
Scale: 26
pts/hpcg-1.2.1
pts/wrf-1.0.1
-i conus 2.5km
Input: conus 2.5km
pts/relion-1.0.1
--iter 1 --cpu --j 2
Test: Basic - Device: CPU
pts/amg-1.1.0
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/incompact3d-2.0.2
input.i3d
Input: X3D-benchmarking input.i3d
pts/lulesh-1.1.1
pts/pennant-1.1.0
leblancbig/leblancbig.pnt
Test: leblancbig
pts/pennant-1.1.0
sedovbig/sedovbig.pnt
Test: sedovbig
pts/mt-dgemm-1.2.0
Sustained Floating-Point Rate
pts/nwchem-1.1.1
Input: C240 Buckyball
pts/npb-1.4.5
bt.C
Test / Class: BT.C
pts/npb-1.4.5
ep.C
Test / Class: EP.C
pts/npb-1.4.5
ep.D
Test / Class: EP.D
pts/npb-1.4.5
ft.C
Test / Class: FT.C
pts/npb-1.4.5
lu.C
Test / Class: LU.C
pts/npb-1.4.5
sp.B
Test / Class: SP.B
pts/npb-1.4.5
sp.C
Test / Class: SP.C
pts/npb-1.4.5
is.D
Test / Class: IS.D
pts/npb-1.4.5
mg.C
Test / Class: MG.C
pts/npb-1.4.5
cg.C
Test / Class: CG.C
pts/rodinia-1.3.2
OMP_LAVAMD
Test: OpenMP LavaMD
pts/openvino-1.1.0
-m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU
Model: Face Detection FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU
Model: Face Detection FP16-INT8 - Device: CPU
pts/openvino-1.1.0
-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-1.1.0
-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/openvino-1.1.0
-m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU
Model: Person Detection FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU
Model: Person Detection FP32 - Device: CPU
pts/openvino-1.1.0
-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-1.1.0
-m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU
Model: Weld Porosity Detection FP16 - Device: CPU
pts/openvino-1.1.0
-m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU
Model: Vehicle Detection FP16-INT8 - Device: CPU
pts/openvino-1.1.0
-m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU
Model: Vehicle Detection FP16 - Device: CPU
pts/openvino-1.1.0
-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-1.1.0
-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/askap-2.1.0
tConvolveMPI
Test: tConvolve MPI - Degridding
pts/askap-2.1.0
tConvolveMPI
Test: tConvolve MPI - Gridding
pts/lczero-1.6.0
-b eigen
Backend: Eigen
pts/onednn-1.8.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.8.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.8.0
--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
pts/build-llvm-1.4.0
Ninja
Build System: Ninja
pts/build-llvm-1.4.0
Build System: Unix Makefiles
pts/build-gem5-1.0.0
Time To Compile
pts/build-godot-1.0.0
Time To Compile
pts/build-linux-kernel-1.14.0
defconfig
Build: defconfig
pts/build-linux-kernel-1.14.0
allmodconfig
Build: allmodconfig
pts/build-mesa-1.0.0
Time To Compile
pts/build-mplayer-1.5.0
Time To Compile
pts/build-nodejs-1.2.0
Time To Compile
pts/build-python-1.0.0
Build Configuration: Default
pts/build-python-1.0.0
--enable-optimizations --with-lto
Build Configuration: Released Build, PGO + LTO Optimized
pts/build-wasmer-1.2.0
Time To Compile
pts/build2-1.1.0
Time To Compile
pts/dacapobench-1.0.1
jython
Java Test: Jython
pts/compress-7zip-1.10.0
Test: Compression Rating
pts/compress-7zip-1.10.0
Test: Decompression Rating
pts/compress-zstd-1.5.0
-b19
Compression Level: 19 - Compression Speed
pts/compress-zstd-1.5.0
-b19 --long
Compression Level: 19, Long Mode - Decompression Speed
pts/blender-3.3.0
-b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: BMW27 - Compute: CPU-Only
pts/blender-3.3.0
-b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Classroom - Compute: CPU-Only
pts/blender-3.3.0
-b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Fishy Cat - Compute: CPU-Only
pts/blender-3.3.0
-b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Pabellon Barcelona - Compute: CPU-Only
pts/blender-3.3.0
-b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU
Blend File: Barbershop - Compute: CPU-Only
pts/c-ray-1.2.0
Total Time - 4K, 16 Rays Per Pixel
pts/povray-1.2.1
Trace Time
pts/embree-1.2.1
pathtracer -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer - Model: Asian Dragon
pts/embree-1.2.1
pathtracer -c crown/crown.ecs
Binary: Pathtracer - Model: Crown
pts/embree-1.2.1
pathtracer_ispc -c asian_dragon/asian_dragon.ecs
Binary: Pathtracer ISPC - Model: Asian Dragon
pts/embree-1.2.1
pathtracer_ispc -c crown/crown.ecs
Binary: Pathtracer ISPC - Model: Crown
pts/oidn-1.4.0
-r RT.hdr_alb_nrm.3840x2160
Run: RT.hdr_alb_nrm.3840x2160
pts/oidn-1.4.0
-r RT.ldr_alb_nrm.3840x2160
Run: RT.ldr_alb_nrm.3840x2160
pts/oidn-1.4.0
-r RTLightmap.hdr.4096x4096
Run: RTLightmap.hdr.4096x4096
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/pathtracer/real_time
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
pts/ospray-studio-1.1.0
--cameras 1 1 --resolution 3840 2160 --spp 1 --renderer pathtracer
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/ospray-studio-1.1.0
--cameras 1 1 --resolution 3840 2160 --spp 16 --renderer pathtracer
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-studio-1.1.0
--cameras 1 1 --resolution 3840 2160 --spp 32 --renderer pathtracer
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/ospray-studio-1.1.0
--cameras 2 2 --resolution 3840 2160 --spp 1 --renderer pathtracer
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/ospray-studio-1.1.0
--cameras 2 2 --resolution 3840 2160 --spp 16 --renderer pathtracer
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-studio-1.1.0
--cameras 2 2 --resolution 3840 2160 --spp 32 --renderer pathtracer
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/ospray-studio-1.1.0
--cameras 3 3 --resolution 3840 2160 --spp 1 --renderer pathtracer
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
pts/ospray-studio-1.1.0
--cameras 3 3 --resolution 3840 2160 --spp 16 --renderer pathtracer
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
pts/ospray-studio-1.1.0
--cameras 3 3 --resolution 3840 2160 --spp 32 --renderer pathtracer
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
pts/luxcorerender-1.4.0
DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: DLSC - Acceleration: CPU
pts/luxcorerender-1.4.0
OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU
Scene: Orange Juice - Acceleration: CPU
pts/kvazaar-1.1.1
-i Bosphorus_3840x2160.y4m --preset veryfast
Video Input: Bosphorus 4K - Video Preset: Very Fast
pts/graphics-magick-2.1.0
-enhance
Operation: Enhanced
pts/graphics-magick-2.1.0
-sharpen 0x2.0
Operation: Sharpen
pts/astcenc-1.4.0
-medium -repeats 20
Preset: Medium
pts/astcenc-1.4.0
-thorough -repeats 10
Preset: Thorough
pts/astcenc-1.4.0
-exhaustive -repeats 2
Preset: Exhaustive
pts/etcpak-1.1.0
-b -M --rgba
Benchmark: Multi-Threaded - Configuration: ETC2
pts/ebizzy-1.0.4
pts/node-express-loadtest-1.0.1
pts/simdjson-2.0.1
partial_tweets
Throughput Test: PartialTweets
pts/simdjson-2.0.1
large_random
Throughput Test: LargeRandom
pts/simdjson-2.0.1
kostya
Throughput Test: Kostya
pts/simdjson-2.0.1
distinct_user_id
Throughput Test: DistinctUserID
pts/simdjson-2.0.1
top_tweet
Throughput Test: TopTweet
pts/brl-cad-1.3.0
VGR Performance Metric
pts/pybench-1.1.3
Total For Average Test Times
pts/pyperformance-1.0.2
crypto_pyaes
Benchmark: crypto_pyaes
pts/pyperformance-1.0.2
django_template
Benchmark: django_template
pts/pyperformance-1.0.2
json_loads
Benchmark: json_loads
pts/pyperformance-1.0.2
regex_compile
Benchmark: regex_compile
pts/numpy-1.2.1
pts/phpbench-1.1.6
PHP Benchmark Suite
pts/srsran-1.2.0
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 1
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
pts/srsran-1.2.0
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 27 -t 1 -q
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
pts/srsran-1.2.0
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 4
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
pts/srsran-1.2.0
lib/test/phy/phy_dl_test -p 100 -s 20000 -m 27 -t 4 -q
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
pts/srsran-1.2.0
lib/test/phy/phy_dl_nr_test -P 52 -p 52 -m 28 -n 20000
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
pts/srsran-1.2.0
lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000
Test: OFDM_Test
pts/liquid-dsp-1.0.0
-n 32 -b 256 -f 57
Threads: 32 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 64 -b 256 -f 57
Threads: 64 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 128 -b 256 -f 57
Threads: 128 - Buffer Length: 256 - Filter Length: 57
pts/liquid-dsp-1.0.0
-n 256 -b 256 -f 57
Threads: 256 - Buffer Length: 256 - Filter Length: 57
pts/pjsip-1.0.1
--method=OPTIONS --stateless 'sip:0@127.0.0.1'
Method: OPTIONS, Stateless
pts/quantlib-1.0.0
pts/openssl-3.0.1
rsa4096
Algorithm: RSA4096
pts/openssl-3.0.1
sha256
Algorithm: SHA256
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/sysbench-1.1.0
cpu run
Test: CPU
pts/m-queens-1.1.0
Time To Solve
pts/coremark-1.0.1
CoreMark Size 666 - Iterations Per Second
pts/asmfish-1.1.2
1024 Hash Memory, 26 Depth
pts/tachyon-1.3.0
Total Time
pts/webp2-1.2.0
Encode Settings: Default
pts/webp2-1.2.0
-q 75 -effort 7
Encode Settings: Quality 75, Compression Effort 7
pts/webp2-1.2.0
-q 95 -effort 7
Encode Settings: Quality 95, Compression Effort 7
pts/openfoam-1.2.0
incompressible/simpleFoam/drivaerFastback/ -m S
Input: drivaerFastback, Small Mesh Size - Mesh Time
pts/openfoam-1.2.0
incompressible/simpleFoam/drivaerFastback/ -m S
Input: drivaerFastback, Small Mesh Size - Execution Time
pts/openfoam-1.2.0
incompressible/simpleFoam/drivaerFastback/ -m M
Input: drivaerFastback, Medium Mesh Size - Mesh Time
pts/openfoam-1.2.0
incompressible/simpleFoam/drivaerFastback/ -m M
Input: drivaerFastback, Medium Mesh Size - Execution Time
pts/onednn-2.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-2.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-2.7.0
--conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
pts/deepsparse-1.0.1
zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario sync
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
pts/deepsparse-1.0.1
zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario async
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.0.1
zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario sync
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
pts/deepsparse-1.0.1
zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.0.1
zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
pts/deepsparse-1.0.1
zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.0.1
zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario sync
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
pts/deepsparse-1.0.1
zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.0.1
zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario sync
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
pts/deepsparse-1.0.1
zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.0.1
zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
pts/deepsparse-1.0.1
zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
pts/deepsparse-1.0.1
zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario sync
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
pts/deepsparse-1.0.1
zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
pts/openradioss-1.0.0
BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad
Model: Bird Strike on Windshield
pts/openradioss-1.0.0
RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad
Model: Rubber O-Ring Seal Installation
pts/openradioss-1.0.0
Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad
Model: Cell Phone Drop Test
pts/openradioss-1.0.0
Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad
Model: Bumper Beam
pts/openradioss-1.0.0
fsi_drop_container_0000.rad fsi_drop_container_0001.rad
Model: INIVOL and Fluid Structure Interaction Drop Container