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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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. a: Processor: AMD Ryzen 7 7800X3D 8-Core @ 4.20GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: AMD Ryzen 7 7800X3D 8-Core @ 4.20GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Seconds < Lower Is Better a . 2121.75 |================================================================== b . 2118.76 |================================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Seconds < Lower Is Better a . 222.26 |=================================================================== b . 223.41 |=================================================================== GNU Radio Test: Hilbert Transform MiB/s > Higher Is Better a . 704.4 |==================================================================== b . 702.9 |==================================================================== GNU Radio Test: FM Deemphasis Filter MiB/s > Higher Is Better a . 1113.8 |================================================================= b . 1141.3 |=================================================================== GNU Radio Test: IIR Filter MiB/s > Higher Is Better a . 500.9 |=================================================================== b . 506.6 |==================================================================== GNU Radio Test: FIR Filter MiB/s > Higher Is Better a . 1391.1 |=================================================================== b . 1398.4 |=================================================================== GNU Radio Test: Signal Source (Cosine) MiB/s > Higher Is Better a . 5454.6 |=================================================================== b . 5472.7 |=================================================================== GNU Radio Test: Five Back to Back FIR Filters MiB/s > Higher Is Better a . 1821.2 |=================================================================== b . 1715.3 |=============================================================== Timed Godot Game Engine Compilation 4.0 Time To Compile Seconds < Lower Is Better a . 300.00 |=================================================================== b . 298.68 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 32.74 |==================================================================== b . 32.78 |==================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 278.90 |=================================================================== b . 273.75 |================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 274.60 |=================================================================== b . 270.69 |================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 247.77 |=================================================================== b . 247.75 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better a . 169.70 |=================================================================== b . 170.15 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better a . 27.20 |============================================================== b . 29.93 |==================================================================== Numenta Anomaly Benchmark 1.1 Detector: KNN CAD Seconds < Lower Is Better a . 152.93 |=================================================================== b . 152.88 |=================================================================== Renaissance 0.14 Test: ALS Movie Lens ms < Lower Is Better a . 5903.6 |=================================================================== b . 5716.0 |================================================================= Build2 0.15 Time To Compile Seconds < Lower Is Better a . 119.41 |=================================================================== b . 119.16 |=================================================================== Renaissance 0.14 Test: Akka Unbalanced Cobwebbed Tree ms < Lower Is Better a . 5680.7 |================================================================= b . 5860.4 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 33.57 |==================================================================== b . 33.66 |==================================================================== Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 9490.8 |=================================================================== b . 9531.3 |=================================================================== Blender 3.5 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 104.47 |=================================================================== b . 104.50 |=================================================================== Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 10015.9 |================================================================== b . 10011.1 |================================================================== nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better a . 96954.32 |================================================================= b . 96692.89 |================================================================= nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better a . 93560.28 |================================================================= b . 93822.98 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 500 Requests Per Second > Higher Is Better a . 185789.30 |================================================================ b . 183386.87 |=============================================================== Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Requests Per Second > Higher Is Better a . 182530.28 |================================================================ b . 183626.22 |================================================================ nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better a . 98163.47 |================================================================= b . 98262.15 |================================================================= nginx 1.23.2 Connections: 100 Requests Per Second > Higher Is Better a . 97810.40 |================================================================= b . 97914.05 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 200 Requests Per Second > Higher Is Better a . 193855.44 |================================================================ b . 189635.84 |=============================================================== Apache HTTP Server 2.4.56 Concurrent Requests: 100 Requests Per Second > Higher Is Better a . 179311.78 |=============================================================== b . 181582.13 |================================================================ oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2226.82 |================================================================== b . 2226.86 |================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2227.52 |================================================================== b . 2229.02 |================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2227.01 |================================================================== b . 2227.67 |================================================================== Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better a . 80.73 |==================================================================== b . 80.83 |==================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1122.76 |================================================================== b . 1122.58 |================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1121.90 |================================================================== b . 1123.68 |================================================================== oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1121.00 |================================================================== b . 1121.34 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 96.41 |==================================================================== b . 96.61 |==================================================================== Memcached 1.6.19 Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 3272684.62 |=============================================================== b . 3250299.72 |=============================================================== Memcached 1.6.19 Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 2921694.2 |================================================================ b . 2902278.7 |================================================================ Memcached 1.6.19 Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 2841542.11 |=============================================================== b . 2829008.81 |=============================================================== Renaissance 0.14 Test: Apache Spark ALS ms < Lower Is Better a . 1931.2 |=================================================================== b . 1941.4 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better a . 61.73 |=================================================================== b . 62.24 |==================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better a . 0.8299 |=================================================================== b . 0.8305 |=================================================================== Renaissance 0.14 Test: Apache Spark PageRank ms < Lower Is Better a . 1787.6 |================================================================== b . 1807.0 |=================================================================== ASKAP 1.0 Test: tConvolve MT - Degridding Million Grid Points Per Second > Higher Is Better a . 2252.83 |================================================================== b . 2159.20 |=============================================================== ASKAP 1.0 Test: tConvolve MT - Gridding Million Grid Points Per Second > Higher Is Better a . 1914.65 |================================================================== b . 1861.93 |================================================================ Renaissance 0.14 Test: Genetic Algorithm Using Jenetics + Futures ms < Lower Is Better a . 953.8 |==================================================================== b . 942.4 |=================================================================== Pennant 1.0.1 Test: sedovbig Hydro Cycle Time - Seconds < Lower Is Better a . 42.31 |==================================================================== b . 42.34 |==================================================================== Renaissance 0.14 Test: Savina Reactors.IO ms < Lower Is Better a . 3153.6 |=================================================================== b . 3128.9 |================================================================== CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better a . 39.39 |==================================================================== b . 39.15 |==================================================================== ACES DGEMM 1.0 Sustained Floating-Point Rate GFLOP/s > Higher Is Better a . 6.112455 |============================================================== b . 6.373565 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 101.24 |=================================================================== b . 101.27 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 209.51 |=================================================================== b . 209.54 |=================================================================== Renaissance 0.14 Test: Scala Dotty ms < Lower Is Better a . 439.9 |==================================================================== b . 436.6 |=================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better a . 7.8220 |=================================================================== b . 7.8537 |=================================================================== Pennant 1.0.1 Test: leblancbig Hydro Cycle Time - Seconds < Lower Is Better a . 27.26 |==================================================================== b . 27.25 |==================================================================== Renaissance 0.14 Test: Apache Spark Bayes ms < Lower Is Better a . 900.0 |==================================================================== b . 873.8 |================================================================== Numenta Anomaly Benchmark 1.1 Detector: Contextual Anomaly Detector OSE Seconds < Lower Is Better a . 25.46 |==================================================================== b . 25.29 |==================================================================== Renaissance 0.14 Test: Finagle HTTP Requests ms < Lower Is Better a . 1879.6 |=================================================================== b . 1843.8 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 177.73 |=================================================================== b . 177.84 |=================================================================== Renaissance 0.14 Test: Random Forest ms < Lower Is Better a . 402.3 |==================================================================== b . 400.5 |==================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 7.66355 |================================================================== b . 7.71613 |================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.51978 |================================================================== b . 5.32498 |================================================================ oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.830924 |================================================================= b . 0.830898 |================================================================= ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better a . 181.00 |=================================================================== b . 181.20 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better a . 87240 |==================================================================== b . 86914 |==================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better a . 112513 |================================================================== b . 113370 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better a . 17.33 |==================================================================== b . 17.20 |=================================================================== oneDNN 3.1 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3.33782 |================================================================== b . 3.34819 |================================================================== oneDNN 3.1 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.25071 |================================================================== b . 1.25253 |================================================================== oneDNN 3.1 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.620111 |================================================================= b . 0.619937 |================================================================= ASKAP 1.0 Test: tConvolve MPI - Gridding Mpix/sec > Higher Is Better a . 10495.8 |=============================================================== b . 10933.2 |================================================================== ASKAP 1.0 Test: tConvolve MPI - Degridding Mpix/sec > Higher Is Better a . 8464.38 |================================================================== b . 8199.86 |================================================================ Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better a . 406211800 |================================================================ b . 406014500 |================================================================ ASKAP 1.0 Test: Hogbom Clean OpenMP Iterations Per Second > Higher Is Better a . 735.29 |=================================================================== b . 735.29 |=================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better a . 63.32 |==================================================================== b . 63.23 |==================================================================== Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better a . 9.848 |=================================================================== b . 9.948 |==================================================================== oneDNN 3.1 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.21056 |================================================================== b . 1.20831 |================================================================== oneDNN 3.1 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3.09967 |================================================================== b . 3.09914 |================================================================== oneDNN 3.1 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.365467 |================================================================= b . 0.367087 |================================================================= oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4.74584 |================================================================== b . 4.71913 |================================================================== oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.16302 |================================================================== b . 5.14851 |================================================================== oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2.04864 |================================================================== b . 2.04844 |================================================================== Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better a . 5.654 |==================================================================== b . 5.599 |=================================================================== ASKAP 1.0 Test: tConvolve OpenMP - Degridding Million Grid Points Per Second > Higher Is Better a . 9861.33 |================================================================== b . 9861.33 |================================================================== ASKAP 1.0 Test: tConvolve OpenMP - Gridding Million Grid Points Per Second > Higher Is Better a . 8068.36 |================================================================== b . 7607.31 |============================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2.47403 |================================================================== b . 2.47255 |================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.10260 |================================================================== b . 4.10323 |================================================================== oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.01001 |================================================================== b . 1.00696 |================================================================== Renaissance 0.14 Test: In-Memory Database Shootout ms < Lower Is Better ASKAP 1.0 Test: tConvolve OpenCL Million Grid Points Per Second > Higher Is Better