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
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
Algebraic Multi-Grid Benchmark 1.2
Figure Of Merit > Higher Is Better
a . 406211800 |================================================================
b . 406014500 |================================================================
ACES DGEMM 1.0
Sustained Floating-Point Rate
GFLOP/s > Higher Is Better
a . 6.112455 |==============================================================
b . 6.373565 |=================================================================
Xmrig 6.18.1
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
a . 9490.8 |===================================================================
b . 9531.3 |===================================================================
Xmrig 6.18.1
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
a . 10015.9 |==================================================================
b . 10011.1 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 177.73 |===================================================================
b . 177.84 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 209.51 |===================================================================
b . 209.54 |===================================================================
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: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 33.57 |====================================================================
b . 33.66 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 96.41 |====================================================================
b . 96.61 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 32.74 |====================================================================
b . 32.78 |====================================================================
ASKAP 1.0
Test: Hogbom Clean OpenMP
Iterations Per Second > Higher Is Better
a . 735.29 |===================================================================
b . 735.29 |===================================================================
GNU Radio
Test: Five Back to Back FIR Filters
MiB/s > Higher Is Better
a . 1821.2 |===================================================================
b . 1715.3 |===============================================================
GNU Radio
Test: Signal Source (Cosine)
MiB/s > Higher Is Better
a . 5454.6 |===================================================================
b . 5472.7 |===================================================================
GNU Radio
Test: FIR Filter
MiB/s > Higher Is Better
a . 1391.1 |===================================================================
b . 1398.4 |===================================================================
GNU Radio
Test: IIR Filter
MiB/s > Higher Is Better
a . 500.9 |===================================================================
b . 506.6 |====================================================================
GNU Radio
Test: FM Deemphasis Filter
MiB/s > Higher Is Better
a . 1113.8 |=================================================================
b . 1141.3 |===================================================================
GNU Radio
Test: Hilbert Transform
MiB/s > Higher Is Better
a . 704.4 |====================================================================
b . 702.9 |====================================================================
ASKAP 1.0
Test: tConvolve MT - Gridding
Million Grid Points Per Second > Higher Is Better
a . 1914.65 |==================================================================
b . 1861.93 |================================================================
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 OpenCL
Million Grid Points Per Second > Higher Is Better
ASKAP 1.0
Test: tConvolve OpenMP - Gridding
Million Grid Points Per Second > Higher Is Better
a . 8068.36 |==================================================================
b . 7607.31 |==============================================================
ASKAP 1.0
Test: tConvolve OpenMP - Degridding
Million Grid Points Per Second > Higher Is Better
a . 9861.33 |==================================================================
b . 9861.33 |==================================================================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
a . 112513 |==================================================================
b . 113370 |===================================================================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
a . 87240 |====================================================================
b . 86914 |====================================================================
ASKAP 1.0
Test: tConvolve MPI - Degridding
Mpix/sec > Higher Is Better
a . 8464.38 |==================================================================
b . 8199.86 |================================================================
ASKAP 1.0
Test: tConvolve MPI - Gridding
Mpix/sec > Higher Is Better
a . 10495.8 |===============================================================
b . 10933.2 |==================================================================
ASTC Encoder 4.0
Preset: Fast
MT/s > Higher Is Better
a . 181.00 |===================================================================
b . 181.20 |===================================================================
ASTC Encoder 4.0
Preset: Medium
MT/s > Higher Is Better
a . 63.32 |====================================================================
b . 63.23 |====================================================================
ASTC Encoder 4.0
Preset: Thorough
MT/s > Higher Is Better
a . 7.8220 |===================================================================
b . 7.8537 |===================================================================
ASTC Encoder 4.0
Preset: Exhaustive
MT/s > Higher Is Better
a . 0.8299 |===================================================================
b . 0.8305 |===================================================================
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 |===============================================================
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 |===================================================================
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, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 278.90 |===================================================================
b . 273.75 |==================================================================
nginx 1.23.2
Connections: 100
Requests Per Second > Higher Is Better
a . 97810.40 |=================================================================
b . 97914.05 |=================================================================
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
a . 98163.47 |=================================================================
b . 98262.15 |=================================================================
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: 100
Requests Per Second > Higher Is Better
a . 179311.78 |===============================================================
b . 181582.13 |================================================================
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: 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 |================================================================
Pennant 1.0.1
Test: sedovbig
Hydro Cycle Time - Seconds < Lower Is Better
a . 42.31 |====================================================================
b . 42.34 |====================================================================
Pennant 1.0.1
Test: leblancbig
Hydro Cycle Time - Seconds < Lower Is Better
a . 27.26 |====================================================================
b . 27.25 |====================================================================
Renaissance 0.14
Test: Scala Dotty
ms < Lower Is Better
a . 439.9 |====================================================================
b . 436.6 |===================================================================
Renaissance 0.14
Test: Random Forest
ms < Lower Is Better
a . 402.3 |====================================================================
b . 400.5 |====================================================================
Renaissance 0.14
Test: ALS Movie Lens
ms < Lower Is Better
a . 5903.6 |===================================================================
b . 5716.0 |=================================================================
Renaissance 0.14
Test: Apache Spark ALS
ms < Lower Is Better
a . 1931.2 |===================================================================
b . 1941.4 |===================================================================
Renaissance 0.14
Test: Apache Spark Bayes
ms < Lower Is Better
a . 900.0 |====================================================================
b . 873.8 |==================================================================
Renaissance 0.14
Test: Savina Reactors.IO
ms < Lower Is Better
a . 3153.6 |===================================================================
b . 3128.9 |==================================================================
Renaissance 0.14
Test: Apache Spark PageRank
ms < Lower Is Better
a . 1787.6 |==================================================================
b . 1807.0 |===================================================================
Renaissance 0.14
Test: Finagle HTTP Requests
ms < Lower Is Better
a . 1879.6 |===================================================================
b . 1843.8 |==================================================================
Renaissance 0.14
Test: In-Memory Database Shootout
ms < Lower Is Better
Renaissance 0.14
Test: Akka Unbalanced Cobwebbed Tree
ms < Lower Is Better
a . 5680.7 |=================================================================
b . 5860.4 |===================================================================
Renaissance 0.14
Test: Genetic Algorithm Using Jenetics + Futures
ms < Lower Is Better
a . 953.8 |====================================================================
b . 942.4 |===================================================================
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 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3.09967 |==================================================================
b . 3.09914 |==================================================================
oneDNN 3.1
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.620111 |=================================================================
b . 0.619937 |=================================================================
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: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 1.25071 |==================================================================
b . 1.25253 |==================================================================
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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.16302 |==================================================================
b . 5.14851 |==================================================================
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_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 4.10260 |==================================================================
b . 4.10323 |==================================================================
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: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.830924 |=================================================================
b . 0.830898 |=================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.01001 |==================================================================
b . 1.00696 |==================================================================
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 Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1121.00 |==================================================================
b . 1121.34 |==================================================================
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: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2.04864 |==================================================================
b . 2.04844 |==================================================================
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_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2.47403 |==================================================================
b . 2.47255 |==================================================================
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 Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2227.01 |==================================================================
b . 2227.67 |==================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 1121.90 |==================================================================
b . 1123.68 |==================================================================
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
Seconds < Lower Is Better
a . 39.39 |====================================================================
b . 39.15 |====================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 27.20 |==============================================================
b . 29.93 |====================================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Execution Time
Seconds < Lower Is Better
a . 169.70 |===================================================================
b . 170.15 |===================================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Seconds < Lower Is Better
a . 222.26 |===================================================================
b . 223.41 |===================================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Execution Time
Seconds < Lower Is Better
a . 2121.75 |==================================================================
b . 2118.76 |==================================================================
Timed Godot Game Engine Compilation 4.0
Time To Compile
Seconds < Lower Is Better
a . 300.00 |===================================================================
b . 298.68 |===================================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
a . 80.73 |====================================================================
b . 80.83 |====================================================================
Build2 0.15
Time To Compile
Seconds < Lower Is Better
a . 119.41 |===================================================================
b . 119.16 |===================================================================
Blender 3.5
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 104.47 |===================================================================
b . 104.50 |===================================================================
Numenta Anomaly Benchmark 1.1
Detector: KNN CAD
Seconds < Lower Is Better
a . 152.93 |===================================================================
b . 152.88 |===================================================================
Numenta Anomaly Benchmark 1.1
Detector: Relative Entropy
Seconds < Lower Is Better
a . 9.848 |===================================================================
b . 9.948 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Windowed Gaussian
Seconds < Lower Is Better
a . 5.654 |====================================================================
b . 5.599 |===================================================================
Numenta Anomaly Benchmark 1.1
Detector: Earthgecko Skyline
Seconds < Lower Is Better
a . 61.73 |===================================================================
b . 62.24 |====================================================================
Numenta Anomaly Benchmark 1.1
Detector: Bayesian Changepoint
Seconds < Lower Is Better
a . 17.33 |====================================================================
b . 17.20 |===================================================================
Numenta Anomaly Benchmark 1.1
Detector: Contextual Anomaly Detector OSE
Seconds < Lower Is Better
a . 25.46 |====================================================================
b . 25.29 |====================================================================