AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 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 2306247-NE-DDDAS346146
dddas
AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 3840x2160
LevelDB 1.23
Benchmark: Hot Read
Microseconds Per Op < Lower Is Better
a . 43.14 |====================================================================
b . 42.76 |===================================================================
LevelDB 1.23
Benchmark: Fill Sync
MB/s > Higher Is Better
a . 0.6 |======================================================================
b . 0.4 |===============================================
LevelDB 1.23
Benchmark: Fill Sync
Microseconds Per Op < Lower Is Better
a . 10866.01 |===========================================
b . 16348.37 |=================================================================
LevelDB 1.23
Benchmark: Overwrite
MB/s > Higher Is Better
a . 27.0 |=====================================================================
b . 27.0 |=====================================================================
LevelDB 1.23
Benchmark: Overwrite
Microseconds Per Op < Lower Is Better
a . 262.35 |===================================================================
b . 262.28 |===================================================================
LevelDB 1.23
Benchmark: Random Fill
MB/s > Higher Is Better
a . 26.9 |=====================================================================
b . 26.7 |====================================================================
LevelDB 1.23
Benchmark: Random Fill
Microseconds Per Op < Lower Is Better
a . 262.98 |===================================================================
b . 264.87 |===================================================================
LevelDB 1.23
Benchmark: Random Read
Microseconds Per Op < Lower Is Better
a . 43.49 |====================================================================
b . 43.55 |====================================================================
LevelDB 1.23
Benchmark: Seek Random
Microseconds Per Op < Lower Is Better
a . 65.84 |====================================================================
b . 64.56 |===================================================================
LevelDB 1.23
Benchmark: Random Delete
Microseconds Per Op < Lower Is Better
a . 245.16 |===================================================================
b . 245.18 |===================================================================
LevelDB 1.23
Benchmark: Sequential Fill
MB/s > Higher Is Better
a . 27.8 |=====================================================================
b . 27.7 |=====================================================================
LevelDB 1.23
Benchmark: Sequential Fill
Microseconds Per Op < Lower Is Better
a . 254.94 |===================================================================
b . 255.49 |===================================================================
SQLite 3.41.2
Threads / Copies: 1
Seconds < Lower Is Better
a . 106.01 |===================================================================
b . 105.00 |==================================================================
SQLite 3.41.2
Threads / Copies: 2
Seconds < Lower Is Better
a . 243.22 |===================================================================
b . 237.19 |=================================================================
SQLite 3.41.2
Threads / Copies: 4
Seconds < Lower Is Better
a . 266.58 |===================================================================
b . 262.62 |==================================================================
SQLite 3.41.2
Threads / Copies: 8
Seconds < Lower Is Better
a . 291.25 |===================================================================
b . 284.87 |==================================================================
SQLite 3.41.2
Threads / Copies: 16
Seconds < Lower Is Better
a . 373.82 |===================================================================
b . 374.33 |===================================================================
SQLite 3.41.2
Threads / Copies: 32
Seconds < Lower Is Better
a . 505.42 |===================================================================
b . 502.77 |===================================================================
SQLite 3.41.2
Threads / Copies: 64
Seconds < Lower Is Better
a . 681.45 |===================================================================
b . 680.81 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1080 - Effects Quality: Low
Frames Per Second > Higher Is Better
a . 671.42 |===================================================================
b . 669.86 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1200 - Effects Quality: Low
Frames Per Second > Higher Is Better
a . 671.95 |===================================================================
b . 676.08 |===================================================================
Xonotic 0.8.6
Resolution: 2560 x 1440 - Effects Quality: Low
Frames Per Second > Higher Is Better
a . 673.17 |==================================================================
b . 687.49 |===================================================================
Xonotic 0.8.6
Resolution: 3840 x 2160 - Effects Quality: Low
Frames Per Second > Higher Is Better
a . 670.04 |==================================================================
b . 675.84 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1080 - Effects Quality: High
Frames Per Second > Higher Is Better
a . 561.44 |===================================================================
b . 563.79 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1200 - Effects Quality: High
Frames Per Second > Higher Is Better
a . 561.01 |==================================================================
b . 567.94 |===================================================================
Xonotic 0.8.6
Resolution: 2560 x 1440 - Effects Quality: High
Frames Per Second > Higher Is Better
a . 560.97 |==================================================================
b . 567.98 |===================================================================
Xonotic 0.8.6
Resolution: 3840 x 2160 - Effects Quality: High
Frames Per Second > Higher Is Better
a . 467.69 |===================================================================
b . 469.75 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1080 - Effects Quality: Ultra
Frames Per Second > Higher Is Better
a . 518.67 |==================================================================
b . 524.55 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1200 - Effects Quality: Ultra
Frames Per Second > Higher Is Better
a . 521.50 |===================================================================
b . 521.20 |===================================================================
Xonotic 0.8.6
Resolution: 2560 x 1440 - Effects Quality: Ultra
Frames Per Second > Higher Is Better
a . 520.79 |==================================================================
b . 527.21 |===================================================================
Xonotic 0.8.6
Resolution: 3840 x 2160 - Effects Quality: Ultra
Frames Per Second > Higher Is Better
a . 420.75 |===================================================================
b . 423.33 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1080 - Effects Quality: Ultimate
Frames Per Second > Higher Is Better
a . 386.94 |===================================================================
b . 386.28 |===================================================================
Xonotic 0.8.6
Resolution: 1920 x 1200 - Effects Quality: Ultimate
Frames Per Second > Higher Is Better
a . 384.77 |===================================================================
b . 386.81 |===================================================================
Xonotic 0.8.6
Resolution: 2560 x 1440 - Effects Quality: Ultimate
Frames Per Second > Higher Is Better
a . 384.02 |===================================================================
b . 381.32 |===================================================================
Xonotic 0.8.6
Resolution: 3840 x 2160 - Effects Quality: Ultimate
Frames Per Second > Higher Is Better
a . 311.40 |===================================================================
b . 311.77 |===================================================================
High Performance Conjugate Gradient 3.1
X Y Z: 104 104 104 - RT: 60
GFLOP/s > Higher Is Better
a . 10.96 |====================================================================
b . 11.02 |====================================================================
High Performance Conjugate Gradient 3.1
X Y Z: 144 144 144 - RT: 60
GFLOP/s > Higher Is Better
CP2K Molecular Dynamics 2023.1
Input: H20-64
Seconds < Lower Is Better
a . 42.97 |====================================================================
b . 42.11 |===================================================================
CP2K Molecular Dynamics 2023.1
Input: H2O-DFT-LS
Seconds < Lower Is Better
CP2K Molecular Dynamics 2023.1
Input: Fayalite-FIST
Seconds < Lower Is Better
a . 123.83 |===================================================================
b . 122.98 |===================================================================
libxsmm 2-1.17-3645
M N K: 128
GFLOPS/s > Higher Is Better
a . 635.8 |====================================================================
b . 635.4 |====================================================================
libxsmm 2-1.17-3645
M N K: 256
GFLOPS/s > Higher Is Better
a . 910.4 |====================================================================
b . 907.4 |====================================================================
libxsmm 2-1.17-3645
M N K: 32
GFLOPS/s > Higher Is Better
a . 160.5 |====================================================================
b . 160.7 |====================================================================
libxsmm 2-1.17-3645
M N K: 64
GFLOPS/s > Higher Is Better
a . 318.5 |====================================================================
b . 318.7 |====================================================================
Laghos 3.1
Test: Triple Point Problem
Major Kernels Total Rate > Higher Is Better
a . 220.46 |===================================================================
b . 219.12 |===================================================================
Laghos 3.1
Test: Sedov Blast Wave, ube_922_hex.mesh
Major Kernels Total Rate > Higher Is Better
a . 264.34 |===================================================================
b . 265.39 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 30.80 |====================================================================
b . 30.86 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 13.76 |====================================================================
b . 13.79 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 15.35 |====================================================================
b . 15.35 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 56.45 |====================================================================
b . 55.85 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 27.43 |====================================================================
b . 27.27 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 27.71 |====================================================================
b . 27.73 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 26.55 |===================================================================
b . 26.81 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 13.88 |====================================================================
b . 13.85 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 15.41 |====================================================================
b . 15.41 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 51.88 |====================================================================
b . 50.93 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 30.14 |====================================================================
b . 30.29 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
a . 30.01 |====================================================================
b . 30.04 |====================================================================
Palabos 2.3
Grid Size: 100
Mega Site Updates Per Second > Higher Is Better
a . 121.93 |===================================================================
b . 122.23 |===================================================================
Palabos 2.3
Grid Size: 400
Mega Site Updates Per Second > Higher Is Better
a . 139.30 |===================================================================
b . 140.08 |===================================================================
Palabos 2.3
Grid Size: 500
Mega Site Updates Per Second > Higher Is Better
a . 143.85 |===================================================================
b . 144.06 |===================================================================
Palabos 2.3
Grid Size: 1000
Mega Site Updates Per Second > Higher Is Better
Palabos 2.3
Grid Size: 4000
Mega Site Updates Per Second > Higher Is Better
QMCPACK 3.16
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
a . 136.22 |===================================================================
b . 132.76 |=================================================================
QMCPACK 3.16
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
a . 27.60 |====================================================================
b . 27.48 |====================================================================
QMCPACK 3.16
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 175.39 |===================================================================
b . 174.82 |===================================================================
QMCPACK 3.16
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 196.98 |===================================================================
b . 191.15 |=================================================================
Monte Carlo Simulations of Ionised Nebulae 2.02.73.3
Input: Gas HII40
Seconds < Lower Is Better
a . 12.68 |====================================================================
b . 12.60 |====================================================================
Monte Carlo Simulations of Ionised Nebulae 2.02.73.3
Input: Dust 2D tau100.0
Seconds < Lower Is Better
a . 181.27 |===================================================================
b . 180.73 |===================================================================
Remhos 1.0
Test: Sample Remap Example
Seconds < Lower Is Better
a . 23.54 |====================================================================
b . 23.65 |====================================================================
Z3 Theorem Prover 4.12.1
SMT File: 1.smt2
Seconds < Lower Is Better
a . 29.93 |====================================================================
b . 29.90 |====================================================================
Z3 Theorem Prover 4.12.1
SMT File: 2.smt2
Seconds < Lower Is Better
a . 76.01 |====================================================================
b . 76.12 |====================================================================
nekRS 23.0
Input: Kershaw
flops/rank > Higher Is Better
a . 2123046667 |===============================================================
b . 2109640000 |===============================================================
nekRS 23.0
Input: TurboPipe Periodic
flops/rank > Higher Is Better
a . 3444566667 |===============================================================
b . 3441770000 |===============================================================
dav1d 1.2.1
Video Input: Chimera 1080p
FPS > Higher Is Better
a . 398.39 |===================================================================
b . 398.20 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 4K
FPS > Higher Is Better
a . 222.52 |===================================================================
b . 222.24 |===================================================================
dav1d 1.2.1
Video Input: Summer Nature 1080p
FPS > Higher Is Better
a . 597.02 |===================================================================
b . 597.19 |===================================================================
dav1d 1.2.1
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
a . 374.79 |===================================================================
b . 374.13 |===================================================================
Embree 4.1
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 38.47 |====================================================================
b . 38.45 |====================================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 34.41 |====================================================================
b . 34.53 |====================================================================
Embree 4.1
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 41.59 |====================================================================
b . 41.78 |====================================================================
Embree 4.1
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 37.39 |====================================================================
b . 37.48 |====================================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 39.40 |====================================================================
b . 39.40 |====================================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 33.83 |====================================================================
b . 33.96 |====================================================================
SVT-AV1 1.6
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 3.756 |====================================================================
b . 3.721 |===================================================================
SVT-AV1 1.6
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 54.15 |===================================================================
b . 54.56 |====================================================================
SVT-AV1 1.6
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 126.42 |==================================================================
b . 127.68 |===================================================================
SVT-AV1 1.6
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 127.14 |===================================================================
b . 127.68 |===================================================================
SVT-AV1 1.6
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 10.87 |====================================================================
b . 10.85 |====================================================================
SVT-AV1 1.6
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 85.31 |====================================================================
b . 85.50 |====================================================================
SVT-AV1 1.6
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 308.25 |===================================================================
b . 305.73 |==================================================================
SVT-AV1 1.6
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 360.92 |==================================================================
b . 364.28 |===================================================================
VVenC 1.8
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 5.440 |====================================================================
b . 5.387 |===================================================================
VVenC 1.8
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 10.93 |====================================================================
b . 10.89 |====================================================================
VVenC 1.8
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 13.88 |====================================================================
b . 13.77 |===================================================================
VVenC 1.8
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 24.88 |====================================================================
b . 24.80 |====================================================================
Intel Open Image Denoise 2.0
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 1.22 |=====================================================================
b . 1.22 |=====================================================================
Intel Open Image Denoise 2.0
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 1.22 |====================================================================
b . 1.23 |=====================================================================
Intel Open Image Denoise 2.0
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.60 |=====================================================================
b . 0.60 |=====================================================================
Intel Open Image Denoise 2.0
Run: RT.hdr_alb_nrm.3840x2160 - Device: Radeon HIP
Images / Sec > Higher Is Better
Intel Open Image Denoise 2.0
Run: RT.ldr_alb_nrm.3840x2160 - Device: Radeon HIP
Images / Sec > Higher Is Better
Intel Open Image Denoise 2.0
Run: RTLightmap.hdr.4096x4096 - Device: Radeon HIP
Images / Sec > Higher Is Better
Intel Open Image Denoise 2.0
Run: RT.hdr_alb_nrm.3840x2160 - Device: Intel oneAPI SYCL
Images / Sec > Higher Is Better
Intel Open Image Denoise 2.0
Run: RT.ldr_alb_nrm.3840x2160 - Device: Intel oneAPI SYCL
Images / Sec > Higher Is Better
Intel Open Image Denoise 2.0
Run: RTLightmap.hdr.4096x4096 - Device: Intel oneAPI SYCL
Images / Sec > Higher Is Better
OSPRay 2.12
Benchmark: particle_volume/ao/real_time
Items Per Second > Higher Is Better
a . 9.86893 |==================================================================
b . 9.89124 |==================================================================
OSPRay 2.12
Benchmark: particle_volume/scivis/real_time
Items Per Second > Higher Is Better
a . 9.74548 |==================================================================
b . 9.76771 |==================================================================
OSPRay 2.12
Benchmark: particle_volume/pathtracer/real_time
Items Per Second > Higher Is Better
a . 128.57 |===================================================================
b . 128.66 |===================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Items Per Second > Higher Is Better
a . 4.93554 |=================================================================
b . 4.98028 |==================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
Items Per Second > Higher Is Better
a . 4.62468 |==================================================================
b . 4.62434 |==================================================================
OSPRay 2.12
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Items Per Second > Higher Is Better
a . 7.67668 |==================================================================
b . 7.70051 |==================================================================
oneDNN 3.1
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1.55099 |==================================================================
b . 1.30181 |=======================================================
oneDNN 3.1
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 4.26624 |==================================================================
b . 4.21682 |=================================================================
oneDNN 3.1
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.177229 |=================================================================
b . 1.089440 |============================================================
oneDNN 3.1
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.948450 |===============================================================
b . 0.985098 |=================================================================
oneDNN 3.1
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.1
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.1
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 4.81893 |==================================================================
b . 4.83565 |==================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.69206 |==================================================================
b . 5.73181 |==================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2.68566 |==================================================================
b . 2.69872 |==================================================================
oneDNN 3.1
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 5.76769 |==================================================================
b . 5.70574 |=================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.36630 |===============================================================
b . 1.43664 |==================================================================
oneDNN 3.1
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.57740 |==================================================================
b . 1.57190 |==================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3252.18 |==================================================================
b . 3275.76 |==================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 976.47 |==================================================================
b . 987.99 |===================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 3244.46 |==================================================================
b . 3227.02 |==================================================================
oneDNN 3.1
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.1
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.1
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.1
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 938.10 |==================================================================
b . 958.84 |===================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3235.41 |==================================================================
b . 3226.70 |==================================================================
oneDNN 3.1
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 935.61 |===================================================================
b . 932.99 |===================================================================
Opus Codec Encoding 1.4
WAV To Opus Encode
Seconds < Lower Is Better
a . 28.70 |====================================================================
b . 28.83 |====================================================================
eSpeak-NG Speech Engine 1.51
Text-To-Speech Synthesis
Seconds < Lower Is Better
a . 31.08 |===================================================================
b . 31.49 |====================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 45075000 |=================================================================
b . 45023000 |=================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 51993333 |=================================================================
b . 51814000 |=================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 89896333 |=================================================================
b . 89686000 |=================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 103806667 |================================================================
b . 103260000 |================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 178100000 |================================================================
b . 179170000 |================================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 206086667 |================================================================
b . 206140000 |================================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 354570000 |================================================================
b . 355110000 |================================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 409183333 |================================================================
b . 410090000 |================================================================
Liquid-DSP 1.6
Threads: 1 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 10537667 |=================================================================
b . 10560000 |=================================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 690800000 |================================================================
b . 692130000 |================================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 795103333 |================================================================
b . 799490000 |================================================================
Liquid-DSP 1.6
Threads: 2 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 20851667 |=================================================================
b . 20989000 |=================================================================
Liquid-DSP 1.6
Threads: 32 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 1343200000 |===============================================================
b . 1350000000 |===============================================================
Liquid-DSP 1.6
Threads: 32 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 1506266667 |===============================================================
b . 1512100000 |===============================================================
Liquid-DSP 1.6
Threads: 4 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 41277667 |=================================================================
b . 41475000 |=================================================================
Liquid-DSP 1.6
Threads: 64 - Buffer Length: 256 - Filter Length: 32
samples/s > Higher Is Better
a . 2250733333 |==============================================================
b . 2269700000 |===============================================================
Liquid-DSP 1.6
Threads: 64 - Buffer Length: 256 - Filter Length: 57
samples/s > Higher Is Better
a . 1836033333 |===============================================================
b . 1837000000 |===============================================================
Liquid-DSP 1.6
Threads: 8 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 82123667 |=================================================================
b . 82224000 |=================================================================
Liquid-DSP 1.6
Threads: 16 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 160113333 |================================================================
b . 160130000 |================================================================
Liquid-DSP 1.6
Threads: 32 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 313753333 |================================================================
b . 314560000 |================================================================
Liquid-DSP 1.6
Threads: 64 - Buffer Length: 256 - Filter Length: 512
samples/s > Higher Is Better
a . 506326667 |================================================================
b . 506050000 |================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 28.88 |====================================================================
b . 28.92 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 552.28 |===================================================================
b . 551.16 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 16.35 |===================================================================
b . 16.48 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 61.17 |====================================================================
b . 60.66 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 255.99 |===================================================================
b . 256.64 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 62.44 |====================================================================
b . 62.31 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 77.58 |===================================================================
b . 78.40 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 12.88 |====================================================================
b . 12.75 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 86.13 |===================================================================
b . 87.02 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 185.74 |===================================================================
b . 183.81 |==================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 28.73 |=================================================================
b . 29.86 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 34.80 |====================================================================
b . 33.48 |=================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 148.97 |===================================================================
b . 149.96 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 107.37 |===================================================================
b . 106.66 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 91.57 |====================================================================
b . 91.98 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 10.91 |====================================================================
b . 10.86 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 323.09 |===================================================================
b . 324.27 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 49.49 |====================================================================
b . 49.32 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 141.30 |=================================================================
b . 146.19 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 7.0704 |===================================================================
b . 6.8330 |=================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 235.81 |===================================================================
b . 236.82 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 67.82 |====================================================================
b . 67.54 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 81.34 |==================================================================
b . 83.43 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 12.29 |====================================================================
b . 11.98 |==================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 33.10 |====================================================================
b . 32.91 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 482.75 |===================================================================
b . 485.95 |===================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 21.57 |====================================================================
b . 21.49 |====================================================================
Neural Magic DeepSparse 1.5
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 46.35 |====================================================================
b . 46.51 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 119.01 |===================================================================
b . 119.09 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 134.41 |===================================================================
b . 134.32 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 43.88 |====================================================================
b . 43.05 |===================================================================
Neural Magic DeepSparse 1.5
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 22.78 |===================================================================
b . 23.22 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 28.61 |===================================================================
b . 28.99 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 556.61 |===================================================================
b . 550.43 |==================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 16.34 |====================================================================
b . 16.43 |====================================================================
Neural Magic DeepSparse 1.5
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 61.20 |====================================================================
b . 60.86 |====================================================================
Stress-NG 0.15.10
Test: Hash
Bogo Ops/s > Higher Is Better
a . 7627578.66 |===============================================================
b . 7624159.24 |===============================================================
Stress-NG 0.15.10
Test: MMAP
Bogo Ops/s > Higher Is Better
a . 437.11 |===================================================================
b . 439.24 |===================================================================
Stress-NG 0.15.10
Test: NUMA
Bogo Ops/s > Higher Is Better
a . 752.30 |===================================================================
b . 741.66 |==================================================================
Stress-NG 0.15.10
Test: Pipe
Bogo Ops/s > Higher Is Better
a . 18809740.35 |=====================================================
b . 22201912.16 |==============================================================
Stress-NG 0.15.10
Test: Poll
Bogo Ops/s > Higher Is Better
a . 4084623.29 |===============================================================
b . 4101817.96 |===============================================================
Stress-NG 0.15.10
Test: Zlib
Bogo Ops/s > Higher Is Better
a . 4517.78 |==================================================================
b . 4518.88 |==================================================================
Stress-NG 0.15.10
Test: Futex
Bogo Ops/s > Higher Is Better
a . 4610857.40 |===============================================================
b . 4644715.00 |===============================================================
Stress-NG 0.15.10
Test: MEMFD
Bogo Ops/s > Higher Is Better
a . 395.11 |===================================================================
b . 394.50 |===================================================================
Stress-NG 0.15.10
Test: Mutex
Bogo Ops/s > Higher Is Better
a . 18827346.28 |==============================================================
b . 18816044.49 |==============================================================
Stress-NG 0.15.10
Test: Atomic
Bogo Ops/s > Higher Is Better
a . 480.06 |===================================================================
b . 480.51 |===================================================================
Stress-NG 0.15.10
Test: Crypto
Bogo Ops/s > Higher Is Better
a . 78260.17 |=================================================================
b . 78455.19 |=================================================================
Stress-NG 0.15.10
Test: Malloc
Bogo Ops/s > Higher Is Better
a . 92853207.13 |==============================================================
b . 92812375.37 |==============================================================
Stress-NG 0.15.10
Test: Cloning
Bogo Ops/s > Higher Is Better
a . 3354.40 |==================================================================
b . 3360.52 |==================================================================
Stress-NG 0.15.10
Test: Forking
Bogo Ops/s > Higher Is Better
a . 51344.69 |=================================================================
b . 51160.22 |=================================================================
Stress-NG 0.15.10
Test: Pthread
Bogo Ops/s > Higher Is Better
a . 128353.64 |================================================================
b . 128387.57 |================================================================
Stress-NG 0.15.10
Test: AVL Tree
Bogo Ops/s > Higher Is Better
a . 283.41 |===================================================================
b . 282.42 |===================================================================
Stress-NG 0.15.10
Test: IO_uring
Bogo Ops/s > Higher Is Better
a . 439798.24 |================================================================
b . 440335.12 |================================================================
Stress-NG 0.15.10
Test: SENDFILE
Bogo Ops/s > Higher Is Better
a . 515575.47 |==============================================================
b . 528847.31 |================================================================
Stress-NG 0.15.10
Test: CPU Cache
Bogo Ops/s > Higher Is Better
a . 1624118.54 |===============================================================
b . 1535034.64 |============================================================
Stress-NG 0.15.10
Test: CPU Stress
Bogo Ops/s > Higher Is Better
a . 82729.76 |=================================================================
b . 82887.24 |=================================================================
Stress-NG 0.15.10
Test: Semaphores
Bogo Ops/s > Higher Is Better
a . 66510329.66 |==========================================================
b . 71041068.48 |==============================================================
Stress-NG 0.15.10
Test: Matrix Math
Bogo Ops/s > Higher Is Better
a . 199178.68 |================================================================
b . 200423.60 |================================================================
Stress-NG 0.15.10
Test: Vector Math
Bogo Ops/s > Higher Is Better
a . 224417.23 |================================================================
b . 224460.71 |================================================================
Stress-NG 0.15.10
Test: Function Call
Bogo Ops/s > Higher Is Better
a . 24278.34 |=================================================================
b . 24275.23 |=================================================================
Stress-NG 0.15.10
Test: x86_64 RdRand
Stress-NG 0.15.10
Test: Floating Point
Bogo Ops/s > Higher Is Better
a . 11201.44 |=================================================================
b . 11221.55 |=================================================================
Stress-NG 0.15.10
Test: Matrix 3D Math
Bogo Ops/s > Higher Is Better
a . 2806.09 |==================================================================
b . 2795.85 |==================================================================
Stress-NG 0.15.10
Test: Memory Copying
Bogo Ops/s > Higher Is Better
a . 10973.65 |=================================================================
b . 10984.91 |=================================================================
Stress-NG 0.15.10
Test: Vector Shuffle
Bogo Ops/s > Higher Is Better
a . 22825.44 |=================================================================
b . 22200.86 |===============================================================
Stress-NG 0.15.10
Test: Socket Activity
Bogo Ops/s > Higher Is Better
a . 3072.80 |=====================
b . 9580.27 |==================================================================
Stress-NG 0.15.10
Test: Wide Vector Math
Bogo Ops/s > Higher Is Better
a . 1501239.29 |===============================================================
b . 1496970.66 |===============================================================
Stress-NG 0.15.10
Test: Context Switching
Bogo Ops/s > Higher Is Better
a . 11409509.77 |=============================================================
b . 11620881.04 |==============================================================
Stress-NG 0.15.10
Test: Fused Multiply-Add
Bogo Ops/s > Higher Is Better
a . 33507543.08 |==============================================================
b . 33539318.97 |==============================================================
Stress-NG 0.15.10
Test: Vector Floating Point
Bogo Ops/s > Higher Is Better
a . 94803.76 |================================================================
b . 95693.93 |=================================================================
Stress-NG 0.15.10
Test: Glibc C String Functions
Bogo Ops/s > Higher Is Better
a . 33453867.32 |==============================================================
b . 33092079.25 |=============================================================
Stress-NG 0.15.10
Test: Glibc Qsort Data Sorting
Bogo Ops/s > Higher Is Better
a . 942.22 |===================================================================
b . 943.84 |===================================================================
Stress-NG 0.15.10
Test: System V Message Passing
Bogo Ops/s > Higher Is Better
a . 10692419.88 |==============================================================
b . 10677047.79 |==============================================================
GPAW 23.6
Input: Carbon Nanotube
Seconds < Lower Is Better
a . 110.85 |===================================================================
b . 110.95 |===================================================================
PETSc 3.19
Test: Streams
MB/s > Higher Is Better
a . 58312.10 |=================================================================
b . 58276.79 |=================================================================
Whisper.cpp 1.4
Model: ggml-base.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 156.48 |===================================================================
b . 151.05 |=================================================================
Whisper.cpp 1.4
Model: ggml-small.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 395.71 |===================================================================
b . 363.32 |==============================================================
Whisper.cpp 1.4
Model: ggml-medium.en - Input: 2016 State of the Union
Seconds < Lower Is Better
a . 1018.28 |==================================================================
b . 1003.11 |=================================================================
Kripke 1.2.6
Throughput FoM > Higher Is Better
a . 148243333 |================================================================
b . 146215600 |===============================================================