AMD EPYC 4124P CPU Review Benchmarks

Benchmarks preparing for a future article on Phoronix.com by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2405238-NE-MERGE298576
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 2 Tests
C++ Boost Tests 4 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 10 Tests
C/C++ Compiler Tests 18 Tests
Compression Tests 3 Tests
CPU Massive 34 Tests
Creator Workloads 26 Tests
Cryptography 4 Tests
Database Test Suite 7 Tests
Encoding 9 Tests
Fortran Tests 6 Tests
Game Development 6 Tests
HPC - High Performance Computing 20 Tests
Imaging 3 Tests
Java 3 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 6 Tests
Molecular Dynamics 7 Tests
MPI Benchmarks 7 Tests
Multi-Core 50 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 7 Tests
OpenMPI Tests 12 Tests
Programmer / Developer System Benchmarks 13 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 6 Tests
Scientific Computing 10 Tests
Software Defined Radio 2 Tests
Server 13 Tests
Server CPU Tests 25 Tests
Single-Threaded 3 Tests
Texture Compression 2 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Xeon E-2488
April 01
  1 Day, 22 Hours, 13 Minutes
EPYC 4124P
May 20
  2 Days, 9 Hours, 21 Minutes
EPYC 4244P
May 12
  1 Day, 16 Hours, 20 Minutes
EPYC 4344P
May 08
  1 Day, 11 Hours, 13 Minutes
EPYC 4364P
April 28
  1 Day, 17 Hours, 57 Minutes
EPYC 4464P
May 17
  1 Day, 11 Hours, 26 Minutes
EPYC 4484PX
May 10
  1 Day, 14 Hours, 16 Minutes
EPYC 4564P
April 27
  1 Day, 8 Hours, 35 Minutes
EPYC 4584PX
May 15
  1 Day, 9 Hours, 50 Minutes
Invert Hiding All Results Option
  1 Day, 16 Hours, 8 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


AMD EPYC 4124P CPU Review Benchmarks Suite 1.0.0 System Test suite extracted from AMD EPYC 4124P CPU Review Benchmarks. pts/pgbench-1.14.0 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency pts/pgbench-1.14.0 -s 100 -c 500 -S Scaling Factor: 100 - Clients: 500 - Mode: Read Only pts/pgbench-1.14.0 -s 100 -c 800 -S Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency pts/pgbench-1.14.0 -s 100 -c 800 -S Scaling Factor: 100 - Clients: 800 - Mode: Read Only pts/john-the-ripper-1.8.0 --format=wpapsk Test: WPA PSK pts/luxcorerender-1.4.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Danish Mood - Acceleration: CPU pts/openvino-1.5.0 -m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/handwritten-english-recognition-0001/FP16/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16 - Device: CPU pts/openssl-3.3.0 rsa4096 Algorithm: RSA4096 pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pdsch_processor_benchmark -m throughput_total -R 350 -B 10 -P 4port_4layer_scs30_100MHz_256qam Test: PDSCH Processor Benchmark, Throughput Total pts/openvino-1.5.0 -m models/intel/person-reidentification-retail-0277/FP16/person-reidentification-retail-0277.xml -d CPU Model: Person Re-Identification Retail FP16 - Device: CPU pts/openvino-1.5.0 -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/luxcorerender-1.4.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/openvino-1.5.0 -m models/intel/handwritten-english-recognition-0001/FP16-INT8/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16-INT8 - Device: CPU pts/ospray-studio-1.3.0 --cameras 2 2 --resolution 1920x1080 --spp 16 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 1920x1080 --spp 16 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/john-the-ripper-1.8.0 --format=md5crypt Test: MD5 pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 1920x1080 --spp 16 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU pts/john-the-ripper-1.8.0 --format=HMAC-SHA512 Test: HMAC-SHA512 pts/namd-1.3.1 ../f1atpase/f1atpase.namd Input: ATPase with 327,506 Atoms pts/openvino-1.5.0 -m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16 - Device: CPU pts/openvino-1.5.0 -m models/intel/face-detection-retail-0005/FP16/face-detection-retail-0005.xml -d CPU Model: Face Detection Retail FP16 - Device: CPU pts/ospray-studio-1.3.0 --cameras 3 3 --resolution 1920x1080 --spp 1 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/ospray-studio-1.3.0 --cameras 2 2 --resolution 1920x1080 --spp 1 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/openvino-1.5.0 -m models/intel/road-segmentation-adas-0001/FP16/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS FP16 - Device: CPU pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 1920x1080 --spp 1 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU pts/stockfish-1.5.0 Chess Benchmark pts/cpuminer-opt-1.7.0 -a sha256q Algorithm: Quad SHA-256, Pyrite pts/stress-ng-1.11.0 --vecfp -1 --no-rand-seed Test: Vector Floating Point pts/embree-1.6.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/openvino-1.5.0 -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/ospray-studio-1.3.0 --cameras 3 3 --resolution 1920x1080 --spp 32 --renderer pathtracer Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/minibude-1.0.0 --deck ../data/bm1 --iterations 500 Implementation: OpenMP - Input Deck: BM1 pts/openvino-1.5.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/ospray-studio-1.3.0 --cameras 2 2 --resolution 1920x1080 --spp 32 --renderer pathtracer Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/openvino-1.5.0 -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/minibude-1.0.0 --deck ../data/bm2 --iterations 10 Implementation: OpenMP - Input Deck: BM2 pts/blender-4.1.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/ospray-studio-1.3.0 --cameras 1 1 --resolution 1920x1080 --spp 32 --renderer pathtracer Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU pts/openvino-1.5.0 -m models/intel/noise-suppression-poconetlike-0001/FP16/noise-suppression-poconetlike-0001.xml -d CPU Model: Noise Suppression Poconet-Like FP16 - Device: CPU pts/blender-4.1.0 -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/v-ray-1.5.0 -m vray Mode: CPU pts/java-jmh-1.0.1 Throughput pts/openssl-3.3.0 -evp chacha20 Algorithm: ChaCha20 pts/openvino-1.5.0 -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/openssl-3.3.0 -evp chacha20-poly1305 Algorithm: ChaCha20-Poly1305 pts/blender-4.1.0 -b ../junkshop.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Junkshop - Compute: CPU-Only pts/astcenc-1.5.1 -thorough -repeats 20 Preset: Thorough pts/openvino-1.5.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/astcenc-1.5.1 -medium -repeats 40 Preset: Medium pts/openssl-3.3.0 -evp aes-128-gcm Algorithm: AES-128-GCM pts/blender-4.1.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/astcenc-1.5.1 -fast -repeats 150 Preset: Fast pts/aircrack-ng-1.3.0 pts/ospray-3.1.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/openvino-1.5.0 -m models/intel/face-detection-retail-0005/FP16-INT8/face-detection-retail-0005.xml -d CPU Model: Face Detection Retail FP16-INT8 - Device: CPU pts/cpuminer-opt-1.7.0 -a sha256t Algorithm: Triple SHA-256, Onecoin pts/ospray-3.1.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/stress-ng-1.11.0 --fp -1 --no-rand-seed Test: Floating Point pts/blender-4.1.0 -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/openssl-3.3.0 -evp aes-256-gcm Algorithm: AES-256-GCM pts/astcenc-1.5.1 -verythorough -repeats 10 Preset: Very Thorough pts/ospray-3.1.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/openssl-3.3.0 sha512 Algorithm: SHA512 pts/cpuminer-opt-1.7.0 -a skein Algorithm: Skeincoin pts/blender-4.1.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/rocksdb-1.6.0 --benchmarks="readwhilewriting" Test: Read While Writing pts/astcenc-1.5.1 -exhaustive -repeats 6 Preset: Exhaustive pts/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 1 - Input: Bosphorus 4K pts/cpuminer-opt-1.7.0 -a lbry Algorithm: LBC, LBRY Credits pts/ospray-3.1.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/dacapobench-1.1.0 tomcat Java Test: Apache Tomcat pts/stress-ng-1.11.0 --vecshuf -1 --no-rand-seed Test: Vector Shuffle pts/openssl-3.3.0 sha256 Algorithm: SHA256 pts/cpuminer-opt-1.7.0 -a deep Algorithm: Deepcoin pts/ospray-3.1.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/svt-hevc-1.2.1 -encMode 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 1 - Input: Bosphorus 1080p pts/cpuminer-opt-1.7.0 -a blake2s Algorithm: Blake-2 S pts/stress-ng-1.11.0 --vnni -1 Test: AVX-512 VNNI pts/helsing-1.0.2 100000000000 999999999999 Digit Range: 12 digit pts/m-queens-1.1.0 Time To Solve pts/compress-7zip-1.10.0 Test: Decompression Rating pts/speedb-1.0.1 --benchmarks="readrandom" Test: Random Read pts/cpuminer-opt-1.7.0 -a m7m Algorithm: Magi pts/cpuminer-opt-1.7.0 -a myr-gr Algorithm: Myriad-Groestl pts/openvino-1.5.0 -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/quantlib-1.2.0 --mp Configuration: Multi-Threaded pts/rocksdb-1.6.0 --benchmarks="readrandom" Test: Random Read pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second pts/cpuminer-opt-1.7.0 -a allium Algorithm: Garlicoin pts/embree-1.6.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/stress-ng-1.11.0 --vecwide -1 --no-rand-seed Test: Wide Vector Math pts/john-the-ripper-1.8.0 --format=bcrypt Test: Blowfish pts/cpuminer-opt-1.7.0 -a minotaur Algorithm: Ringcoin pts/cpuminer-opt-1.7.0 -a scrypt Algorithm: scrypt pts/stress-ng-1.11.0 --fma -1 --no-rand-seed Test: Fused Multiply-Add pts/john-the-ripper-1.8.0 --format=bcrypt Test: bcrypt pts/helsing-1.0.2 10000000000000 99999999999999 Digit Range: 14 digit pts/namd-1.3.1 ../stmv/stmv.namd Input: STMV with 1,066,628 Atoms pts/embree-1.6.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/openvino-1.5.0 -m models/intel/road-segmentation-adas-0001/FP16-INT8/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS FP16-INT8 - Device: CPU pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Gridding pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/primesieve-1.10.0 1e12 Length: 1e12 pts/build-nodejs-1.4.0 Time To Compile pts/primesieve-1.10.0 1e13 Length: 1e13 pts/openvkl-2.0.0 vklBenchmarkCPU --benchmark_filter=ispc Benchmark: vklBenchmarkCPU ISPC pts/graphics-magick-2.2.0 -sharpen 0x2.0 Operation: Sharpen pts/graphics-magick-2.2.0 -enhance Operation: Enhanced pts/build-linux-kernel-1.16.0 allmodconfig Build: allmodconfig pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/oidn-2.2.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.2.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/speedb-1.0.1 --benchmarks="readwhilewriting" Test: Read While Writing pts/appleseed-1.0.1 disney_material_1.appleseed Scene: Disney Material pts/luxcorerender-1.4.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU pts/nginx-3.0.1 -c 500 Connections: 500 pts/luxcorerender-1.4.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/graphics-magick-2.2.0 -swirl 90 Operation: Swirl pts/dacapobench-1.1.0 zxing Java Test: Zxing 1D/2D Barcode Image Processing pts/tensorflow-2.2.0 --device cpu --batch_size=512 --model=alexnet Device: CPU - Batch Size: 512 - Model: AlexNet pts/brl-cad-1.6.0 VGR Performance Metric pts/oidn-2.2.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/nginx-3.0.1 -c 200 Connections: 200 pts/appleseed-1.0.1 emily.appleseed Scene: Emily pts/onednn-3.4.0 --ip --batch=inputs/ip/shapes_1d --engine=cpu Harness: IP Shapes 1D - Engine: CPU pts/memcached-1.2.0 --ratio=1:10 Set To Get Ratio: 1:10 pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=alexnet Device: CPU - Batch Size: 256 - Model: AlexNet pts/compress-pbzip2-1.6.1 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression pts/build-godot-4.0.0 Time To Compile pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 7 - Input: Bosphorus 1080p pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/svt-hevc-1.2.1 -encMode 7 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 7 - Input: Bosphorus 4K pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/onednn-3.4.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --engine=cpu Harness: Recurrent Neural Network Inference - Engine: CPU pts/onednn-3.4.0 --rnn --batch=inputs/rnn/perf_rnn_training --engine=cpu Harness: Recurrent Neural Network Training - Engine: CPU pts/pgbench-1.14.0 -s 100 -c 800 Scaling Factor: 100 - Clients: 800 - Mode: Read Write pts/pgbench-1.14.0 -s 100 -c 800 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/uvg266-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/openvino-1.5.0 -m models/intel/person-detection-0303/FP32/person-detection-0303.xml -d CPU Model: Person Detection FP32 - Device: CPU pts/specfem3d-1.1.0 tomographic_model Model: Tomographic Model pts/openvino-1.5.0 -m models/intel/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/build-linux-kernel-1.16.0 defconfig Build: defconfig pts/compress-7zip-1.10.0 Test: Compression Rating pts/build-ffmpeg-6.1.0 Time To Compile pts/cockroach-1.0.2 kv --ramp 10s --read-percent 95 --concurrency 128 Workload: KV, 95% Reads - Concurrency: 128 pts/specfem3d-1.1.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Degridding pts/jpegxl-1.6.0 sample-4.png out.jxl -q 100 --num_reps 20 Input: PNG - Quality: 100 pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Execution Time pts/cockroach-1.0.2 kv --ramp 10s --read-percent 60 --concurrency 128 Workload: KV, 60% Reads - Concurrency: 128 pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_3d --engine=cpu Harness: Deconvolution Batch shapes_3d - Engine: CPU pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 100 --num_reps 20 Input: JPEG - Quality: 100 pts/cockroach-1.0.2 kv --ramp 10s --read-percent 50 --concurrency 128 Workload: KV, 50% Reads - Concurrency: 128 pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset superfast Video Input: Bosphorus 4K - Video Preset: Super Fast pts/pgbench-1.14.0 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write pts/pgbench-1.14.0 -s 100 -c 500 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency pts/compress-zstd-1.6.0 -b8 --long Compression Level: 8, Long Mode - Compression Speed pts/build-mesa-1.1.0 Time To Compile pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/build-gem5-1.1.0 Time To Compile pts/compress-zstd-1.6.0 -b8 Compression Level: 8 - Compression Speed pts/gromacs-1.9.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/svt-av1-2.12.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: 10 - Input: Bosphorus 1080p pts/specfem3d-1.1.0 layered_halfspace Model: Layered Halfspace pts/specfem3d-1.1.0 Mount_StHelens Model: Mount St. Helens pts/svt-vp9-1.3.1 -tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p pts/onnx-1.17.0 super_resolution/super_resolution.onnx -e cpu -P Model: super-resolution-10 - Device: CPU - Executor: Parallel pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/luxcorerender-1.4.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU pts/tensorflow-2.2.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset superfast Video Input: Bosphorus 1080p - Video Preset: Super Fast pts/kvazaar-1.2.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/onednn-3.4.0 --ip --batch=inputs/ip/shapes_3d --engine=cpu Harness: IP Shapes 3D - Engine: CPU pts/svt-vp9-1.3.1 -tune 0 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: Visual Quality Optimized - Input: Bosphorus 4K pts/avifenc-1.4.1 -s 6 Encoder Speed: 6 pts/appleseed-1.0.1 material_tester_ambient_occlusion.appleseed Scene: Material Tester pts/scylladb-1.0.0 WRITE Test: Writes pts/specfem3d-1.1.0 waterlayered_halfspace Model: Water-layered Halfspace pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 512 Threads: 16 - Buffer Length: 256 - Filter Length: 512 pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/npb-1.4.5 ep.C Test / Class: EP.C pts/graphics-magick-2.2.0 -operator all Noise-Gaussian 30% Operation: Noise-Gaussian pts/lammps-1.4.0 in.rhodo Model: Rhodopsin Protein pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset superfast Video Input: Bosphorus 1080p - Video Preset: Super Fast pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: VMAF Optimized - Input: Bosphorus 1080p pts/svt-hevc-1.2.1 -encMode 10 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: 10 - Input: Bosphorus 4K pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/tensorflow-2.2.0 --device cpu --batch_size=32 --model=googlenet Device: CPU - Batch Size: 32 - Model: GoogLeNet pts/uvg266-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/avifenc-1.4.1 -s 0 Encoder Speed: 0 pts/tensorflow-2.2.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet pts/npb-1.4.5 sp.B Test / Class: SP.B pts/onnx-1.17.0 resnet100/resnet100.onnx -e cpu -P Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel pts/tensorflow-2.2.0 --device cpu --batch_size=512 --model=googlenet Device: CPU - Batch Size: 512 - Model: GoogLeNet pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=googlenet Device: CPU - Batch Size: 256 - Model: GoogLeNet pts/y-cruncher-1.4.0 1b Pi Digits To Calculate: 1B pts/svt-av1-2.12.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/onednn-3.4.0 --deconv --batch=inputs/deconv/shapes_1d --engine=cpu Harness: Deconvolution Batch shapes_1d - Engine: CPU pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/svt-vp9-1.3.1 -tune 1 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K pts/mariadb-1.0.0 oltp_write_only 64 Test: oltp_write_only - Threads: 64 pts/openradioss-1.1.1 fsi_drop_container_0000.rad fsi_drop_container_0001.rad Model: INIVOL and Fluid Structure Interaction Drop Container pts/tensorflow-2.2.0 --device cpu --batch_size=32 --model=alexnet Device: CPU - Batch Size: 32 - Model: AlexNet pts/svt-av1-2.12.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/rocksdb-1.6.0 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/kvazaar-1.2.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/compress-zstd-1.6.0 -b12 Compression Level: 12 - Compression Speed pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/onnx-1.17.0 bertsquad-12/bertsquad-12.onnx -e cpu -P Model: bertsquad-12 - Device: CPU - Executor: Parallel pts/graphics-magick-2.2.0 -resize 50% Operation: Resizing pts/y-cruncher-1.4.0 500m Pi Digits To Calculate: 500M pts/vvenc-1.11.0 -i Bosphorus_3840x2160.y4m --preset fast --tiles 2x2 --additional WaveFrontSynchro=1 Video Input: Bosphorus 4K - Video Preset: Fast pts/avifenc-1.4.1 -s 2 Encoder Speed: 2 pts/svt-vp9-1.3.1 -tune 2 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Tuning: VMAF Optimized - Input: Bosphorus 4K pts/onnx-1.17.0 yolov4/yolov4.onnx -e cpu -P Model: yolov4 - Device: CPU - Executor: Parallel pts/openradioss-1.1.1 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/avifenc-1.4.1 -s 6 -l Encoder Speed: 6, Lossless pts/vvenc-1.11.0 -i Bosphorus_3840x2160.y4m --preset faster --ifp 1 --tiles 2x1 --additional WaveFrontSynchro=1 Video Input: Bosphorus 4K - Video Preset: Faster pts/onednn-3.4.0 --conv --batch=inputs/conv/shapes_auto --engine=cpu Harness: Convolution Batch Shapes Auto - Engine: CPU pts/mariadb-1.0.0 oltp_read_write 64 Test: oltp_read_write - Threads: 64 pts/svt-av1-2.12.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/onnx-1.17.0 resnet50-v1-12-int8/resnet50-v1-12-int8.onnx -e cpu -P Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel pts/jpegxl-1.6.0 sample-4.png out.jxl -q 90 --num_reps 50 Input: PNG - Quality: 90 pts/apache-iotdb-1.2.0 800 100 800 400 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 pts/tensorflow-2.2.0 --device cpu --batch_size=512 --model=resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 pts/npb-1.4.5 bt.C Test / Class: BT.C pts/apache-iotdb-1.2.0 800 100 800 100 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 32 Threads: 16 - Buffer Length: 256 - Filter Length: 32 pts/build-php-1.7.0 Time To Compile pts/jpegxl-1.6.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 50 Input: JPEG - Quality: 90 pts/onnx-1.17.0 caffenet-12-int8/caffenet-12-int8.onnx -e cpu -P Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel pts/tensorflow-2.2.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/tensorflow-2.2.0 --device cpu --batch_size=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/tensorflow-2.2.0 --device cpu --batch_size=256 --model=resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/svt-av1-2.12.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/speedb-1.0.1 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/ospray-3.1.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/mariadb-1.0.0 oltp_update_non_index 64 Test: oltp_update_non_index - Threads: 64 pts/gpaw-1.2.0 carbon-nanotube Input: Carbon Nanotube pts/incompact3d-2.0.2 input_129_nodes.i3d Input: input.i3d 129 Cells Per Direction pts/vvenc-1.11.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast --tiles 2x2 --additional WaveFrontSynchro=1 Video Input: Bosphorus 1080p - Video Preset: Fast pts/onnx-1.17.0 fcn-resnet101-11/model.onnx -e cpu -P Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel pts/build-wasmer-1.2.0 Time To Compile pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/pytorch-1.1.0 cpu 64 resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/dacapobench-1.1.0 h2 Java Test: H2 Database Engine pts/svt-av1-2.12.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/cloverleaf-1.2.0 clover_bm Input: clover_bm pts/mariadb-1.0.0 oltp_update_index 64 Test: oltp_update_index - Threads: 64 pts/openradioss-1.1.1 Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad Model: Bumper Beam pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Mesh Time pts/vvenc-1.11.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster --ifp 1 --tiles 2x1 --additional WaveFrontSynchro=1 Video Input: Bosphorus 1080p - Video Preset: Faster pts/duckdb-1.0.0 benchmark/imdb Benchmark: IMDB pts/dacapobench-1.1.0 lusearch Java Test: Apache Lucene Search Engine pts/apache-iotdb-1.2.0 800 100 500 100 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pusch/pusch_processor_benchmark -m throughput_total -R 100 -B 10 -P pusch_scs30_100MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Total pts/apache-iotdb-1.2.0 500 100 800 100 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 pts/npb-1.4.5 lu.C Test / Class: LU.C pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Execution Time pts/clickhouse-1.2.0 100M Rows Hits Dataset, Second Run pts/openradioss-1.1.1 NEON1M11_0000.rad NEON1M11_0001.rad Model: Chrysler Neon 1M pts/apache-iotdb-1.2.0 500 100 800 400 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 pts/apache-iotdb-1.2.0 800 100 500 400 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 pts/dacapobench-1.1.0 pmd Java Test: PMD Source Code Analyzer pts/clickhouse-1.2.0 100M Rows Hits Dataset, Third Run pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Mesh Time pts/clickhouse-1.2.0 100M Rows Hits Dataset, First Run / Cold Cache pts/pytorch-1.1.0 cpu 1 resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/graphics-magick-2.2.0 -colorspace HWB Operation: HWB Color Space pts/build-python-1.0.0 Build Configuration: Default pts/npb-1.4.5 sp.C Test / Class: SP.C pts/compress-zstd-1.6.0 -b19 Compression Level: 19 - Compression Speed pts/incompact3d-2.0.2 input_193_nodes.i3d Input: input.i3d 193 Cells Per Direction pts/tensorflow-2.2.0 --device cpu --batch_size=1 --model=googlenet Device: CPU - Batch Size: 1 - Model: GoogLeNet pts/apache-iotdb-1.2.0 500 100 500 100 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 pts/apache-iotdb-1.2.0 500 100 500 400 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 pts/compress-zstd-1.6.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/onnx-1.17.0 t5-encoder/t5-encoder.onnx -e cpu Model: T5 Encoder - Device: CPU - Executor: Standard pts/pybench-1.1.3 Total For Average Test Times pts/draco-1.6.1 -i church.ply Model: Church Facade pts/tensorflow-2.2.0 --device cpu --batch_size=1 --model=resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/ffmpeg-6.1.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/onnx-1.17.0 t5-encoder/t5-encoder.onnx -e cpu -P Model: T5 Encoder - Device: CPU - Executor: Parallel pts/ffmpeg-6.1.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/ffmpeg-6.1.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/mysqlslap-1.5.0 --concurrency=128 Clients: 128 pts/onnx-1.17.0 GPT2/model.onnx -e cpu Model: GPT-2 - Device: CPU - Executor: Standard pts/mysqlslap-1.5.0 --concurrency=64 Clients: 64 pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pdsch_processor_benchmark -m throughput_thread -R 350 -B 10 -T 1 -P 4port_4layer_scs30_100MHz_256qam Test: PDSCH Processor Benchmark, Throughput Thread pts/ffmpeg-6.1.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/onnx-1.17.0 FasterRCNN-12-int8/FasterRCNN-12-int8.onnx -e cpu -P Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel pts/onnx-1.17.0 GPT2/model.onnx -e cpu -P Model: GPT-2 - Device: CPU - Executor: Parallel pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/renaissance-1.3.0 reactors Test: Savina Reactors.IO pts/build-python-1.0.0 --enable-optimizations --with-lto Build Configuration: Released Build, PGO + LTO Optimized pts/numpy-1.2.1 pts/srsran-2.3.0 tests/benchmarks/phy/upper/channel_processors/pusch/pusch_processor_benchmark -m throughput_thread -R 350 -B 10 -T 1 -t 0 -P pusch_scs30_100MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Thread system/octave-benchmark-1.0.1 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/onnx-1.17.0 resnet50-v1-12-int8/resnet50-v1-12-int8.onnx -e cpu Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard pts/svt-av1-2.12.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/openradioss-1.1.1 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/heffte-1.1.0 r2c fftw double 128 128 128 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 pts/heffte-1.1.0 r2c fftw float 128 128 128 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/lammps-1.4.0 benchmark_20k_atoms.in Model: 20k Atoms pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate