one phoenix

AMD Ryzen 7 PRO 7840U testing with a LENOVO 21K5001JUS (R2FET33W_0921_3 1.13 BIOS) and AMD Phoenix1 4GB on Ubuntu 23.10 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 2310135-NE-ONEPHOENI44
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
Show Result Confidence Charts

Limit displaying results to tests within:

Creator Workloads 2 Tests
Multi-Core 2 Tests
Intel oneAPI 2 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
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
October 13 2023
  52 Minutes
b
October 13 2023
  18 Minutes
c
October 13 2023
  18 Minutes
d
October 13 2023
  18 Minutes
Invert Hiding All Results Option
  26 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):


one phoenixOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 PRO 7840U @ 5.13GHz (8 Cores / 16 Threads)LENOVO 21K5001JUS (R2FET33W_0921_3 1.13 BIOS)AMD Device 14e860GB1024GB Kioxia KXG8AZNV1T02 LAAMD Phoenix1 4GB (2700/800MHz)AMD Rembrandt Radeon HD AudioRealtek RTL8111/8168/8411 + Qualcomm QCNFA765Ubuntu 23.106.6.0-060600rc3daily20230925-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.7 + Wayland4.6 Mesa 23.1.7-1ubuntu1 (LLVM 15.0.7 DRM 3.54)GCC 13.2.0ext42880x1800ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionOne Phoenix BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%101%101%102%103%Intel Open Image DenoiseoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNIntel Open Image DenoiseIntel Open Image DenoiseRT.hdr_alb_nrm.3840x2160 - CPU-OnlyIP Shapes 3D - u8s8f32 - CPUIP Shapes 3D - bf16bf16bf16 - CPUC.B.S.A - bf16bf16bf16 - CPUIP Shapes 1D - f32 - CPUD.B.s - f32 - CPUIP Shapes 1D - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUD.B.s - u8s8f32 - CPUIP Shapes 1D - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUD.B.s - bf16bf16bf16 - CPUIP Shapes 3D - f32 - CPUR.N.N.I - bf16bf16bf16 - CPUC.B.S.A - f32 - CPUC.B.S.A - u8s8f32 - CPUD.B.s - f32 - CPUR.N.N.T - u8s8f32 - CPUD.B.s - u8s8f32 - CPUR.N.N.I - u8s8f32 - CPUR.N.N.T - f32 - CPUR.N.N.I - f32 - CPURTLightmap.hdr.4096x4096 - CPU-OnlyRT.ldr_alb_nrm.3840x2160 - CPU-Only

one phoenixoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyabcd0.341.943243.180724.297436.755658.513490.8180993160.741.079871.924353.437216.587255.350161627.949.527308.778975.346133138.661.332151627.613122.441627.650.160.340.351.996653.192184.236116.676398.563220.8196253134.441.073881.909593.444096.563185.342741636.89.549478.777435.358833129.391.328361624.013124.591625.040.160.340.351.954643.134024.240446.694218.553230.8112253134.531.070591.911973.424476.57385.380791626.449.514198.811135.340313127.871.329431623.473124.451625.110.160.340.351.985763.140584.250296.71298.613620.81745331331.072571.918163.449676.540525.354421628.769.495078.805825.350253136.411.331361623.593130.281626.410.160.34OpenBenchmarking.org

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Onlyabcd0.07880.15760.23640.31520.394SE +/- 0.00, N = 30.340.350.350.35

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUabcd0.44920.89841.34761.79682.246SE +/- 0.00435, N = 31.943241.996651.954641.98576MIN: 1.83MIN: 1.92MIN: 1.87MIN: 1.891. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUabcd0.71821.43642.15462.87283.591SE +/- 0.00152, N = 33.180723.192183.134023.14058MIN: 3.07MIN: 3.06MIN: 3.01MIN: 3.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUabcd0.96691.93382.90073.86764.8345SE +/- 0.04446, N = 34.297434.236114.240444.25029MIN: 4.1MIN: 4.14MIN: 4.08MIN: 4.121. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUabcd246810SE +/- 0.01915, N = 36.755656.676396.694216.71290MIN: 5.96MIN: 5.67MIN: 6.17MIN: 6.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUabcd246810SE +/- 0.01913, N = 38.513498.563228.553238.61362MIN: 4.7MIN: 4.83MIN: 4.72MIN: 4.941. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUabcd0.18440.36880.55320.73760.922SE +/- 0.001286, N = 30.8180990.8196250.8112250.817453MIN: 0.69MIN: 0.65MIN: 0.69MIN: 0.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUabcd7001400210028003500SE +/- 28.34, N = 33160.743134.443134.533133.00MIN: 3066.97MIN: 3074.07MIN: 3069.9MIN: 3067.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUabcd0.2430.4860.7290.9721.215SE +/- 0.00502, N = 31.079871.073881.070591.07257MIN: 0.88MIN: 0.93MIN: 0.98MIN: 0.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUabcd0.4330.8661.2991.7322.165SE +/- 0.00355, N = 31.924351.909591.911971.91816MIN: 1.78MIN: 1.66MIN: 1.79MIN: 1.791. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUabcd0.77621.55242.32863.10483.881SE +/- 0.00484, N = 33.437213.444093.424473.44967MIN: 3.25MIN: 2.98MIN: 3.36MIN: 2.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUabcd246810SE +/- 0.02110, N = 36.587256.563186.573806.54052MIN: 5.72MIN: 6MIN: 5.26MIN: 6.131. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUabcd1.21072.42143.63214.84286.0535SE +/- 0.00742, N = 35.350165.342745.380795.35442MIN: 5.27MIN: 5.28MIN: 5.28MIN: 5.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUabcd400800120016002000SE +/- 1.61, N = 31627.941636.801626.441628.76MIN: 1598.06MIN: 1602.42MIN: 1596.46MIN: 1599.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUabcd3691215SE +/- 0.01014, N = 39.527309.549479.514199.49507MIN: 9.4MIN: 9.39MIN: 9.41MIN: 9.391. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUabcd246810SE +/- 0.00955, N = 38.778978.777438.811138.80582MIN: 8.68MIN: 8.68MIN: 8.69MIN: 8.691. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUabcd1.20572.41143.61714.82286.0285SE +/- 0.00448, N = 35.346135.358835.340315.35025MIN: 5.04MIN: 5.28MIN: 5.19MIN: 5.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUabcd7001400210028003500SE +/- 1.13, N = 33138.663129.393127.873136.41MIN: 3068.13MIN: 3068.28MIN: 3068.46MIN: 3073.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUabcd0.29970.59940.89911.19881.4985SE +/- 0.00191, N = 31.332151.328361.329431.33136MIN: 1.1MIN: 1.13MIN: 1.14MIN: 1.11. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUabcd30060090012001500SE +/- 1.54, N = 31627.611624.011623.471623.59MIN: 1598.02MIN: 1597.92MIN: 1597.55MIN: 1597.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUabcd7001400210028003500SE +/- 7.70, N = 33122.443124.593124.453130.28MIN: 3063.83MIN: 3067.18MIN: 3063.83MIN: 3067.661. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUabcd30060090012001500SE +/- 1.31, N = 31627.651625.041625.111626.41MIN: 1596.03MIN: 1595.86MIN: 1596.52MIN: 1596.61. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyabcd0.0360.0720.1080.1440.18SE +/- 0.00, N = 30.160.160.160.16

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyabcd0.07650.1530.22950.3060.3825SE +/- 0.00, N = 30.340.340.340.34