ddds Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Pop 22.04 via the Phoronix Test Suite. s: Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Pop 22.04, Kernel: 6.2.6-76060206-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 22.3.5, Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Pop 22.04, Kernel: 6.2.6-76060206-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 22.3.5, Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 SVT-AV1 1.6 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better s . 2.536 |==================================================================== b . 2.538 |==================================================================== SVT-AV1 1.6 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better s . 25.09 |==================================================================== b . 24.19 |================================================================== SVT-AV1 1.6 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better s . 95.31 |==================================================================== b . 95.64 |==================================================================== SVT-AV1 1.6 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better s . 95.01 |==================================================================== b . 95.37 |==================================================================== SVT-AV1 1.6 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better s . 10.527 |=================================================================== b . 9.831 |=============================================================== SVT-AV1 1.6 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better s . 82.59 |==================================================================== b . 82.23 |==================================================================== SVT-AV1 1.6 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better s . 313.93 |=================================================================== b . 308.17 |================================================================== SVT-AV1 1.6 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better s . 414.32 |================================================================== b . 422.12 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better s . 32.76 |==================================================================== b . 32.97 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better s . 23.73 |==================================================================== b . 23.74 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better s . 69.28 |=================================================================== b . 70.31 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better s . 43.66 |==================================================================== b . 43.50 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better s . 13.12 |==================================================================== b . 13.00 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better s . 12.45 |==================================================================== b . 12.37 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better s . 21.30 |================================================================== b . 21.94 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better s . 23.06 |==================================================================== b . 22.88 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better s . 29.07 |==================================================================== b . 29.23 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better s . 22.43 |==================================================================== b . 22.32 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better s . 41.40 |=================================================================== b . 42.22 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better s . 44.85 |==================================================================== b . 44.81 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better s . 10.91 |================================================================= b . 11.33 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better s . 12.26 |==================================================================== b . 12.14 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better s . 21.67 |=================================================================== b . 21.84 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better s . 23.31 |==================================================================== b . 23.28 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better s . 33.50 |==================================================================== b . 33.00 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better s . 24.04 |==================================================================== b . 23.86 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better s . 70.39 |==================================================================== b . 70.46 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better s . 43.96 |==================================================================== b . 43.95 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better s . 13.09 |==================================================================== b . 13.02 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better s . 12.58 |==================================================================== b . 12.47 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better s . 21.46 |==================================================================== b . 21.42 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better s . 23.12 |==================================================================== b . 22.93 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better s . 29.25 |==================================================================== b . 29.17 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better s . 22.55 |==================================================================== b . 22.43 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better s . 41.29 |==================================================================== b . 41.44 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better s . 45.09 |==================================================================== b . 45.24 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better s . 11.15 |==================================================================== b . 10.93 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better s . 12.36 |==================================================================== b . 12.13 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better s . 21.27 |=================================================================== b . 21.68 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.3 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better s . 23.56 |==================================================================== b . 23.34 |=================================================================== libxsmm 2-1.17-3645 M N K: 128 GFLOPS/s > Higher Is Better s . 155.0 |==================================================================== b . 154.8 |==================================================================== libxsmm 2-1.17-3645 M N K: 256 GFLOPS/s > Higher Is Better s . 132.0 |==================================================================== b . 132.1 |==================================================================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better s . 115.9 |==================================================================== b . 113.9 |=================================================================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better s . 165.2 |==================================================================== b . 148.5 |============================================================= OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better s . 2.72471 |================================================================== b . 2.72216 |================================================================== OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better s . 2.68839 |================================================================== b . 2.68738 |================================================================== OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better s . 86.51 |==================================================================== b . 85.82 |=================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better s . 1.38514 |================================================================== b . 1.37949 |================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better s . 1.34452 |================================================================== b . 1.33905 |================================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better s . 1.90768 |================================================================== b . 1.88240 |================================================================= Laghos 3.1 Test: Triple Point Problem Major Kernels Total Rate > Higher Is Better s . 55.64 |==================================================================== b . 50.43 |============================================================== Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh Major Kernels Total Rate > Higher Is Better s . 54.57 |==================================================================== b . 54.00 |=================================================================== srsRAN Project 23.5 Test: Downlink Processor Benchmark Mbps > Higher Is Better s . 930.8 |=================================================================== b . 939.0 |==================================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Total Mbps > Higher Is Better s . 928.8 |=================================================================== b . 937.4 |==================================================================== srsRAN Project 23.5 Test: PUSCH Processor Benchmark, Throughput Thread Mbps > Higher Is Better s . 262.1 |=================================================================== b . 265.8 |==================================================================== Palabos 2.3 Grid Size: 100 Mega Site Updates Per Second > Higher Is Better s . 42.87 |==================================================================== b . 41.83 |================================================================== Palabos 2.3 Grid Size: 400 Mega Site Updates Per Second > Higher Is Better s . 71.57 |==================================================================== b . 71.78 |==================================================================== Palabos 2.3 Grid Size: 500 Mega Site Updates Per Second > Higher Is Better s . 4.01361 |================================================================== b . 3.59061 |=========================================================== 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 Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better s . 55367000 |================================================================= b . 55376000 |================================================================= Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better s . 74746000 |=============================================================== b . 76920000 |================================================================= Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better s . 106970000 |================================================================ b . 106820000 |================================================================ Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better s . 131530000 |================================================================ b . 130780000 |================================================================ Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better s . 173530000 |================================================================ b . 172210000 |================================================================ Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better s . 219310000 |================================================================ b . 215430000 |=============================================================== Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better s . 260250000 |=============================================================== b . 265880000 |================================================================ Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better s . 297390000 |=============================================================== b . 304170000 |================================================================ Liquid-DSP 1.6 Threads: 1 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better s . 20261000 |================================================================= b . 19701000 |=============================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better s . 404840000 |================================================================ b . 398890000 |=============================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better s . 409920000 |================================================================ b . 408980000 |================================================================ Liquid-DSP 1.6 Threads: 2 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better s . 36447000 |================================================================= b . 36484000 |================================================================= Liquid-DSP 1.6 Threads: 20 - Buffer Length: 256 - Filter Length: 32 samples/s > Higher Is Better s . 459560000 |================================================================ b . 460350000 |================================================================ Liquid-DSP 1.6 Threads: 20 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better s . 398190000 |================================================================ b . 399280000 |================================================================ Liquid-DSP 1.6 Threads: 4 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better s . 56270000 |================================================================= b . 56254000 |================================================================= Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better s . 76055000 |================================================================= b . 73590000 |=============================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better s . 90490000 |============================================================== b . 94755000 |================================================================= Liquid-DSP 1.6 Threads: 20 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better s . 103260000 |=============================================================== b . 104360000 |================================================================ Kripke 1.2.6 Throughput FoM > Higher Is Better CP2K Molecular Dynamics 2023.1 Input: H20-64 Seconds < Lower Is Better s . 183.28 |================================================================== b . 186.76 |=================================================================== 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 s . 274.84 |========================================================= b . 321.56 |=================================================================== Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 Input: Gas HII40 Seconds < Lower Is Better s . 43.32 |==================================================================== b . 42.81 |=================================================================== Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 Input: Dust 2D tau100.0 Seconds < Lower Is Better s . 347.86 |=================================================================== b . 343.61 |================================================================== Remhos 1.0 Test: Sample Remap Example Seconds < Lower Is Better s . 156.21 |=================================================================== b . 149.63 |================================================================ GPAW 23.6 Input: Carbon Nanotube Seconds < Lower Is Better s . 504.80 |================================================================ b . 526.53 |=================================================================== QMCPACK 3.16 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better s . 764.32 |=================================================================== b . 769.69 |=================================================================== QMCPACK 3.16 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better s . 97.23 |==================================================================== b . 95.65 |=================================================================== QMCPACK 3.16 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better s . 785.94 |================================================================ b . 821.04 |=================================================================== QMCPACK 3.16 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better s . 701.74 |=================================================================== b . 700.00 |===================================================================