AMD Ryzen 7 7800X3D Linux

Tests for a future article. AMD Ryzen 7 7800X3D 8-Core testing with a ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) and AMD Radeon RX 7900 XTX on Ubuntu 23.04 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 2304054-PTS-AMDRYZEN15
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April 05 2023
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AMD Ryzen 7 7800X3D Linux Suite 1.0.0 System Test suite extracted from AMD Ryzen 7 7800X3D Linux. pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Mesh Time system/gnuradio-1.0.0 Test: Five Back to Back FIR Filters pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Gridding pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Degridding pts/mt-dgemm-1.2.0 Sustained Floating-Point Rate pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Gridding pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/renaissance-1.3.0 movie-lens Test: ALS Movie Lens pts/askap-2.1.0 tConvolveMPI Test: tConvolve MPI - Degridding pts/renaissance-1.3.0 akka-uct Test: Akka Unbalanced Cobwebbed Tree pts/renaissance-1.3.0 naive-bayes Test: Apache Spark Bayes pts/askap-2.1.0 tConvolveMT Test: tConvolve MT - Gridding system/gnuradio-1.0.0 Test: FM Deemphasis Filter pts/apache-3.0.0 -c 200 Concurrent Requests: 200 pts/renaissance-1.3.0 finagle-http Test: Finagle HTTP Requests pts/clickhouse-1.2.0 100M Rows Hits Dataset, Third Run pts/clickhouse-1.2.0 100M Rows Hits Dataset, Second Run pts/apache-3.0.0 -c 500 Concurrent Requests: 500 pts/apache-3.0.0 -c 100 Concurrent Requests: 100 pts/renaissance-1.3.0 future-genetic Test: Genetic Algorithm Using Jenetics + Futures system/gnuradio-1.0.0 Test: IIR Filter pts/renaissance-1.3.0 page-rank Test: Apache Spark PageRank 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/renaissance-1.3.0 reactors Test: Savina Reactors.IO pts/numenta-nab-1.1.1 -d bayesChangePt Detector: Bayesian Changepoint pts/compress-7zip-1.10.0 Test: Compression Rating pts/renaissance-1.3.0 dotty Test: Scala Dotty pts/memcached-1.2.0 --ratio=1:5 Set To Get Ratio: 1:5 pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/numenta-nab-1.1.1 -d contextOSE Detector: Contextual Anomaly Detector OSE pts/memcached-1.2.0 --ratio=1:10 Set To Get Ratio: 1:10 pts/cloverleaf-1.1.0 Lagrangian-Eulerian Hydrodynamics pts/apache-3.0.0 -c 1000 Concurrent Requests: 1000 pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/renaissance-1.3.0 als Test: Apache Spark ALS system/gnuradio-1.0.0 Test: FIR Filter pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Mesh Time pts/renaissance-1.3.0 dec-tree Test: Random Forest pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 pts/build-godot-4.0.0 Time To Compile pts/xmrig-1.1.0 --bench=1M Variant: Monero - Hash Count: 1M pts/astcenc-1.4.0 -thorough -repeats 10 Preset: Thorough pts/compress-7zip-1.10.0 Test: Decompression Rating system/gnuradio-1.0.0 Test: Signal Source (Cosine) pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/nginx-3.0.1 -c 1000 Connections: 1000 pts/nginx-3.0.1 -c 500 Connections: 500 pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=resnet50 Device: CPU - Batch Size: 32 - Model: ResNet-50 pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m S Input: drivaerFastback, Small Mesh Size - Execution Time pts/build2-1.2.0 Time To Compile system/gnuradio-1.0.0 Test: Hilbert Transform pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/astcenc-1.4.0 -medium -repeats 20 Preset: Medium pts/openfoam-1.2.0 incompressible/simpleFoam/drivaerFastback/ -m M Input: drivaerFastback, Medium Mesh Size - Execution Time pts/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/astcenc-1.4.0 -fast -repeats 120 Preset: Fast pts/nginx-3.0.1 -c 100 Connections: 100 pts/nginx-3.0.1 -c 200 Connections: 200 pts/astcenc-1.4.0 -exhaustive -repeats 2 Preset: Exhaustive pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=alexnet Device: CPU - Batch Size: 32 - Model: AlexNet pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/pennant-1.1.0 sedovbig/sedovbig.pnt Test: sedovbig pts/amg-1.1.0 pts/xmrig-1.1.0 -a rx/wow --bench=1M Variant: Wownero - Hash Count: 1M pts/pennant-1.1.0 leblancbig/leblancbig.pnt Test: leblancbig pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/tensorflow-2.1.0 --device cpu --batch_size=32 --model=googlenet Device: CPU - Batch Size: 32 - Model: GoogLeNet pts/blender-3.5.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/numenta-nab-1.1.1 -d knncad Detector: KNN CAD pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/tensorflow-2.1.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/clickhouse-1.2.0 100M Rows Hits Dataset, First Run / Cold Cache pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/askap-2.1.0 tHogbomCleanOMP Test: Hogbom Clean OpenMP pts/askap-2.1.0 tConvolveOMP Test: tConvolve OpenMP - Degridding pts/askap-2.1.0 tConvolve OpenCL Test: tConvolve OpenCL pts/renaissance-1.3.0 db-shootout Test: In-Memory Database Shootout