Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 23.10 via the Phoronix Test Suite.

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new tests Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: Intel Core i5-13600K @ 5.10GHz (14 Cores / 20 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.5.0-9-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: Intel Core i5-14600K @ 5.30GHz (14 Cores / 20 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.5.0-9-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: Intel Core i5-14600K @ 5.30GHz (14 Cores / 20 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.5.0-9-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.5.0-9-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 e: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.5.0-9-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 f: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XTX 24GB (2304/1249MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.5.0-9-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 55799.7 |========================================= b . 55963.1 |========================================= c . 57317.5 |========================================== d . 88060.0 |================================================================= e . 89344.0 |================================================================== f . 89756.1 |================================================================== QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 4818.8 |========================================================= b . 5016.1 |=========================================================== c . 5014.7 |=========================================================== d . 5665.0 |=================================================================== e . 5672.2 |=================================================================== f . 5666.3 |=================================================================== CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 58.98 |==================================================================== b . 55.82 |================================================================ c . 56.10 |================================================================= d . 42.55 |================================================= e . 42.83 |================================================= f . 42.77 |================================================= CloverLeaf 1.3 Input: clover_bm16 Seconds < Lower Is Better a . 1094.13 |================================================================== b . 1093.01 |================================================================== c . 1091.47 |================================================================== d . 1058.26 |================================================================ e . 1063.27 |================================================================ f . 1062.13 |================================================================ CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 127.74 |=================================================================== b . 127.94 |=================================================================== c . 128.11 |=================================================================== d . 124.58 |================================================================= e . 124.71 |================================================================= f . 124.75 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 51.88 |==================================== b . 53.17 |===================================== c . 52.25 |==================================== d . 95.58 |=================================================================== e . 97.44 |==================================================================== f . 87.45 |============================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 31.27 |=================================================================== b . 31.83 |==================================================================== c . 31.64 |==================================================================== d . 27.85 |=========================================================== e . 27.58 |=========================================================== f . 27.65 |=========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 35.22 |==================================================================== b . 35.29 |==================================================================== c . 35.43 |==================================================================== d . 30.84 |=========================================================== e . 30.99 |=========================================================== f . 31.05 |============================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 131.94 |================================================ b . 104.03 |====================================== c . 131.25 |================================================ d . 183.45 |=================================================================== e . 184.51 |=================================================================== f . 179.45 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 55.10 |=================================================================== b . 55.53 |==================================================================== c . 55.60 |==================================================================== d . 53.64 |================================================================== e . 53.71 |================================================================== f . 53.54 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 58.65 |=================================================================== b . 59.36 |==================================================================== c . 59.22 |==================================================================== d . 55.67 |================================================================ e . 55.62 |================================================================ f . 55.78 |================================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 18.11 |================================================================ b . 18.43 |================================================================= c . 18.55 |================================================================== d . 19.23 |==================================================================== e . 18.79 |================================================================== f . 19.19 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 16.27 |=================================================================== b . 16.48 |==================================================================== c . 16.43 |==================================================================== d . 14.13 |========================================================== e . 14.08 |========================================================== f . 14.14 |========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 18.20 |==================================================================== b . 18.32 |==================================================================== c . 18.28 |==================================================================== d . 15.81 |=========================================================== e . 15.85 |=========================================================== f . 15.53 |========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 31.26 |=================================== b . 31.93 |==================================== c . 31.74 |==================================== d . 59.74 |=================================================================== e . 59.02 |================================================================== f . 60.55 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 29.65 |================================================================== b . 30.34 |==================================================================== c . 29.81 |=================================================================== d . 27.83 |============================================================== e . 27.55 |============================================================== f . 27.49 |============================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 27.99 |================================================================== b . 28.34 |=================================================================== c . 28.40 |=================================================================== d . 28.94 |==================================================================== e . 28.91 |==================================================================== f . 28.53 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 44.29 |============================================== b . 44.88 |=============================================== c . 44.60 |=============================================== d . 64.20 |=================================================================== e . 64.99 |==================================================================== f . 63.75 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 28.59 |=================================================================== b . 29.01 |==================================================================== c . 28.81 |==================================================================== d . 25.82 |============================================================= e . 25.57 |============================================================ f . 25.45 |============================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 31.61 |=================================================================== b . 31.91 |==================================================================== c . 31.91 |==================================================================== d . 28.81 |============================================================= e . 28.77 |============================================================= f . 28.76 |============================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 68.88 |======================================== b . 70.42 |========================================= c . 71.50 |========================================== d . 115.20 |=================================================================== e . 114.34 |================================================================== f . 115.09 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 57.60 |================================================================== b . 58.43 |=================================================================== c . 57.99 |=================================================================== d . 58.99 |==================================================================== e . 58.42 |=================================================================== f . 58.25 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 49.45 |============================================================== b . 50.63 |=============================================================== c . 50.85 |=============================================================== d . 54.58 |==================================================================== e . 53.88 |=================================================================== f . 54.26 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 14.66 |=========================================================== b . 14.82 |=========================================================== c . 14.44 |========================================================== d . 16.75 |=================================================================== e . 16.67 |=================================================================== f . 17.03 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 15.76 |=================================================================== b . 15.90 |==================================================================== c . 15.75 |=================================================================== d . 14.12 |============================================================ e . 14.04 |============================================================ f . 14.02 |============================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 15.08 |=================================================================== b . 15.22 |==================================================================== c . 15.22 |==================================================================== d . 15.00 |=================================================================== e . 14.90 |=================================================================== f . 14.77 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 31.60 |======================================= b . 32.62 |======================================== c . 32.41 |======================================== d . 53.69 |=================================================================== e . 52.90 |================================================================== f . 54.80 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 29.39 |=================================================================== b . 29.52 |=================================================================== c . 29.87 |==================================================================== d . 27.63 |=============================================================== e . 27.40 |============================================================== f . 27.34 |============================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 27.16 |================================================================= b . 27.53 |================================================================== c . 27.62 |================================================================== d . 28.48 |==================================================================== e . 28.55 |==================================================================== f . 28.25 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 50.93 |=================================== b . 52.50 |==================================== c . 51.94 |=================================== d . 99.75 |==================================================================== e . 99.00 |=================================================================== f . 96.46 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 31.30 |=================================================================== b . 31.82 |==================================================================== c . 31.55 |=================================================================== d . 27.78 |=========================================================== e . 27.57 |=========================================================== f . 27.55 |=========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 35.28 |==================================================================== b . 35.38 |==================================================================== c . 35.18 |==================================================================== d . 31.06 |============================================================ e . 30.96 |============================================================ f . 30.93 |=========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 127.31 |============================================= b . 134.25 |================================================ c . 131.51 |=============================================== d . 186.55 |=================================================================== e . 183.83 |================================================================== f . 187.72 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 55.50 |=================================================================== b . 55.94 |==================================================================== c . 55.41 |=================================================================== d . 53.75 |================================================================= e . 53.46 |================================================================= f . 53.41 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 58.42 |=================================================================== b . 59.20 |==================================================================== c . 59.17 |==================================================================== d . 55.88 |================================================================ e . 55.58 |================================================================ f . 55.37 |================================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 18.11 |================================================================ b . 18.53 |================================================================= c . 18.32 |================================================================= d . 19.24 |==================================================================== e . 18.92 |=================================================================== f . 18.88 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 16.15 |=================================================================== b . 16.47 |==================================================================== c . 16.36 |==================================================================== d . 14.17 |=========================================================== e . 14.04 |========================================================== f . 14.04 |========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 18.24 |==================================================================== b . 18.29 |==================================================================== c . 18.25 |==================================================================== d . 15.98 |=========================================================== e . 15.95 |=========================================================== f . 15.88 |=========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 31.23 |=================================== b . 31.64 |==================================== c . 32.39 |===================================== d . 60.02 |==================================================================== e . 40.58 |============================================== f . 59.24 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 29.78 |==================================================================== b . 29.91 |==================================================================== c . 29.86 |==================================================================== d . 28.01 |================================================================ e . 27.54 |=============================================================== f . 27.59 |=============================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 27.99 |================================================================= b . 28.42 |================================================================== c . 28.21 |================================================================== d . 28.91 |==================================================================== e . 29.11 |==================================================================== f . 28.45 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 43.71 |============================================== b . 44.06 |=============================================== c . 44.62 |=============================================== d . 63.22 |=================================================================== e . 64.05 |==================================================================== f . 62.90 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 28.62 |=================================================================== b . 28.99 |==================================================================== c . 28.78 |==================================================================== d . 25.80 |============================================================= e . 25.59 |============================================================ f . 25.47 |============================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 31.73 |=================================================================== b . 32.01 |==================================================================== c . 31.90 |==================================================================== d . 28.66 |============================================================= e . 28.77 |============================================================= f . 28.76 |============================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 66.67 |====================================== b . 71.01 |======================================== c . 69.36 |======================================= d . 117.85 |=================================================================== e . 114.12 |================================================================= f . 115.05 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 57.98 |=================================================================== b . 58.15 |=================================================================== c . 58.47 |=================================================================== d . 58.98 |==================================================================== e . 58.05 |=================================================================== f . 58.59 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 49.76 |============================================================== b . 50.81 |=============================================================== c . 50.91 |=============================================================== d . 54.95 |==================================================================== e . 54.06 |=================================================================== f . 54.66 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 14.28 |========================================================= b . 14.48 |========================================================== c . 14.38 |========================================================== d . 16.94 |==================================================================== e . 16.84 |==================================================================== f . 16.86 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 15.83 |=================================================================== b . 16.05 |==================================================================== c . 15.94 |==================================================================== d . 14.09 |============================================================ e . 14.05 |============================================================ f . 14.02 |=========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 15.11 |==================================================================== b . 15.20 |==================================================================== c . 15.18 |==================================================================== d . 14.79 |================================================================== e . 14.79 |================================================================== f . 15.03 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 31.81 |====================================== b . 32.69 |======================================= c . 22.17 |=========================== d . 52.54 |=============================================================== e . 56.67 |==================================================================== f . 53.02 |================================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 29.68 |=================================================================== b . 30.04 |==================================================================== c . 29.88 |==================================================================== d . 27.64 |=============================================================== e . 27.53 |============================================================== f . 27.34 |============================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 27.22 |================================================================= b . 27.73 |================================================================== c . 27.55 |================================================================= d . 28.44 |=================================================================== e . 28.66 |==================================================================== f . 27.78 |================================================================== Cpuminer-Opt 23.5 Algorithm: Magi kH/s > Higher Is Better a . 417.24 |======================================= b . 442.28 |========================================= c . 450.42 |========================================== d . 714.42 |================================================================== e . 710.53 |================================================================== f . 722.00 |=================================================================== Cpuminer-Opt 23.5 Algorithm: scrypt kH/s > Higher Is Better a . 185.62 |======================================== b . 195.41 |========================================== c . 194.68 |========================================== d . 310.55 |=================================================================== e . 311.73 |=================================================================== f . 309.14 |================================================================== Cpuminer-Opt 23.5 Algorithm: Deepcoin kH/s > Higher Is Better a . 5436.88 |======================================= b . 5549.86 |======================================= c . 5604.27 |======================================== d . 9210.49 |================================================================= e . 9300.91 |================================================================== f . 9248.07 |================================================================== Cpuminer-Opt 23.5 Algorithm: Ringcoin kH/s > Higher Is Better a . 2345.04 |====================================== b . 2508.93 |========================================= c . 2494.87 |========================================= d . 4039.03 |================================================================== e . 4048.08 |================================================================== f . 3946.27 |================================================================ Cpuminer-Opt 23.5 Algorithm: Blake-2 S kH/s > Higher Is Better a . 79320 |====================================== b . 85030 |======================================== c . 86620 |========================================= d . 141280 |=================================================================== e . 140960 |=================================================================== f . 138510 |================================================================== Cpuminer-Opt 23.5 Algorithm: Garlicoin kH/s > Higher Is Better a . 1893.63 |============================================== b . 2040.33 |================================================= c . 2040.66 |================================================= d . 2726.85 |================================================================== e . 2605.60 |=============================================================== f . 2559.46 |============================================================== Cpuminer-Opt 23.5 Algorithm: Skeincoin kH/s > Higher Is Better a . 21370 |====================================== b . 22770 |======================================== c . 22780 |======================================== d . 38520 |==================================================================== e . 38020 |=================================================================== f . 38040 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 8564.28 |======================================= b . 8774.33 |======================================== c . 8765.28 |======================================== d . 14360.00 |================================================================= e . 14310.00 |================================================================= f . 14200.00 |================================================================ Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 9035.20 |=================================== b . 9845.56 |====================================== c . 9996.74 |====================================== d . 16610.00 |================================================================ e . 16950.00 |================================================================= f . 16590.00 |================================================================ Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 41360 |======================================== b . 43650 |========================================== c . 43630 |========================================== d . 70960 |==================================================================== e . 70910 |==================================================================== f . 71070 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 61070 |======================================= b . 62870 |========================================= c . 62850 |========================================= d . 102200 |================================================================== e . 103680 |=================================================================== f . 102900 |================================================================== High Performance Conjugate Gradient 3.1 X Y Z: 104 104 104 - RT: 60 GFLOP/s > Higher Is Better b . 8.28855 |======================================================= c . 8.26023 |======================================================= d . 9.91323 |================================================================== e . 9.88187 |================================================================== f . 9.84149 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better b . 34501.92 |============================================ c . 34573.71 |============================================ d . 50512.70 |================================================================= e . 50229.93 |================================================================= f . 49366.17 |================================================================ NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better b . 8025.90 |================================================== c . 7422.74 |============================================== d . 10390.33 |================================================================= e . 8593.82 |====================================================== f . 7707.48 |================================================ NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better b . 1773.71 |=================================== c . 1775.67 |=================================== d . 3342.51 |================================================================== e . 2893.39 |========================================================= f . 3340.25 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better b . 18953.53 |================================================ c . 18737.09 |================================================ d . 24740.05 |=============================================================== e . 25591.23 |================================================================= f . 25290.90 |================================================================ NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better b . 35845.04 |============================================ c . 34481.92 |========================================== d . 52753.11 |================================================================= e . 52719.71 |================================================================= f . 52390.75 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better b . 24092.42 |=========================================================== c . 26540.76 |================================================================= d . 24498.20 |============================================================ e . 25162.58 |============================================================== f . 24381.01 |============================================================ NAS Parallel Benchmarks 3.4 Test / Class: SP.B Total Mop/s > Higher Is Better b . 16564.09 |================================================= c . 16408.43 |================================================ d . 22004.23 |================================================================= e . 21129.21 |============================================================== f . 21905.42 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: SP.C Total Mop/s > Higher Is Better b . 12080.00 |=================================================== c . 12101.42 |==================================================== d . 15263.55 |================================================================= e . 15270.26 |================================================================= f . 15177.55 |================================================================= miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 GFInst/s > Higher Is Better b . 216.97 |======================================= c . 217.63 |======================================= d . 373.70 |=================================================================== e . 375.18 |=================================================================== f . 375.58 |=================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Billion Interactions/s > Higher Is Better b . 8.679 |======================================= c . 8.705 |======================================= d . 14.948 |=================================================================== e . 15.007 |=================================================================== f . 15.023 |=================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 GFInst/s > Higher Is Better b . 322.65 |========================================== c . 322.67 |========================================== d . 510.27 |=================================================================== e . 508.38 |=================================================================== f . 509.73 |=================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Billion Interactions/s > Higher Is Better b . 12.91 |=========================================== c . 12.91 |=========================================== d . 20.41 |==================================================================== e . 20.34 |==================================================================== f . 20.39 |==================================================================== Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better b . 131.53 |=================================================================== c . 129.98 |================================================================== d . 86.77 |============================================ e . 86.95 |============================================ f . 86.56 |============================================ Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better b . 56.00 |================================================================== c . 58.02 |==================================================================== d . 48.85 |========================================================= e . 48.47 |========================================================= f . 49.01 |========================================================= Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better b . 53.87 |=================================================================== c . 54.93 |==================================================================== d . 48.08 |============================================================ e . 47.48 |=========================================================== f . 48.28 |============================================================ Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better b . 10.118 |=================================================================== c . 10.121 |=================================================================== d . 5.935 |======================================= e . 6.101 |======================================== f . 6.490 |=========================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better b . 15.894 |=================================================================== c . 15.834 |=================================================================== d . 7.224 |============================== e . 7.176 |============================== f . 7.226 |============================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better b . 0.86311 |================================================================== c . 0.86116 |================================================================== d . 0.61454 |=============================================== e . 0.61420 |=============================================== f . 0.61266 |=============================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better b . 33.88 |==================================================================== c . 32.90 |================================================================== d . 26.29 |===================================================== e . 27.07 |====================================================== f . 27.22 |======================================================= OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better b . 224.44 |=================================================================== c . 223.87 |=================================================================== d . 162.53 |================================================= e . 162.41 |================================================ f . 161.89 |================================================ OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Seconds < Lower Is Better b . 230.30 |================================================================== c . 234.40 |=================================================================== d . 203.50 |========================================================== e . 204.96 |=========================================================== f . 195.55 |======================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Seconds < Lower Is Better b . 2166.82 |================================================================== c . 2166.83 |================================================================== d . 1816.89 |======================================================= e . 1813.29 |======================================================= f . 1815.05 |======================================================= OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better b . 151.75 |=================================================================== c . 150.19 |================================================================== d . 114.72 |=================================================== e . 114.07 |================================================== f . 115.59 |=================================================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better b . 96.02 |==================================================================== c . 95.46 |==================================================================== d . 66.07 |=============================================== e . 65.66 |============================================== f . 65.34 |============================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better b . 228.35 |================================================================= c . 234.62 |=================================================================== d . 166.94 |================================================ e . 170.46 |================================================= f . 166.08 |=============================================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better b . 165.27 |=================================================================== c . 165.49 |=================================================================== d . 108.37 |============================================ e . 109.41 |============================================ f . 108.16 |============================================ OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better b . 435.68 |=================================================================== c . 438.56 |=================================================================== d . 285.26 |============================================ e . 291.63 |============================================= f . 290.16 |============================================ SPECFEM3D 4.0 Model: Mount St. Helens Seconds < Lower Is Better b . 51.62 |==================================================================== c . 51.75 |==================================================================== d . 30.83 |========================================= e . 31.65 |========================================== f . 32.37 |=========================================== SPECFEM3D 4.0 Model: Layered Halfspace Seconds < Lower Is Better b . 135.10 |================================================================ c . 140.59 |=================================================================== d . 91.86 |============================================ e . 91.89 |============================================ f . 91.18 |=========================================== SPECFEM3D 4.0 Model: Tomographic Model Seconds < Lower Is Better b . 49.14 |================================================================= c . 51.56 |==================================================================== d . 30.33 |======================================== e . 30.65 |======================================== f . 30.47 |======================================== SPECFEM3D 4.0 Model: Homogeneous Halfspace Seconds < Lower Is Better b . 62.09 |================================================================== c . 63.90 |==================================================================== d . 37.65 |======================================== e . 38.24 |========================================= f . 37.99 |======================================== SPECFEM3D 4.0 Model: Water-layered Halfspace Seconds < Lower Is Better b . 126.07 |=================================================================== c . 126.11 |=================================================================== d . 84.11 |============================================= e . 83.59 |============================================ f . 83.64 |============================================ simdjson 2.0 Throughput Test: Kostya GB/s > Higher Is Better b . 4.80 |============================================================== c . 4.81 |=============================================================== d . 5.30 |===================================================================== e . 5.30 |===================================================================== f . 5.31 |===================================================================== simdjson 2.0 Throughput Test: TopTweet GB/s > Higher Is Better b . 7.29 |============================================================= c . 7.31 |============================================================= d . 8.29 |===================================================================== e . 8.29 |===================================================================== f . 8.31 |===================================================================== simdjson 2.0 Throughput Test: LargeRandom GB/s > Higher Is Better b . 1.77 |============================================================= c . 1.77 |============================================================= d . 1.99 |===================================================================== e . 1.99 |===================================================================== f . 2.00 |===================================================================== simdjson 2.0 Throughput Test: PartialTweets GB/s > Higher Is Better b . 5.39 |================================================== c . 6.51 |============================================================= d . 7.37 |===================================================================== e . 7.37 |===================================================================== f . 7.36 |===================================================================== simdjson 2.0 Throughput Test: DistinctUserID GB/s > Higher Is Better b . 6.04 |=================================================== c . 6.04 |=================================================== d . 8.25 |===================================================================== e . 8.25 |===================================================================== f . 8.24 |===================================================================== Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better b . 7676.5 |====================================================== c . 7660.4 |====================================================== d . 9559.6 |=================================================================== e . 9512.1 |=================================================================== f . 9501.0 |=================================================================== Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better b . 11202.1 |============================================== c . 11160.8 |============================================= d . 16204.0 |================================================================== e . 16088.6 |================================================================== f . 15832.3 |================================================================ WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better b . 15.57 |============================================================ c . 15.53 |============================================================ d . 17.54 |==================================================================== e . 17.54 |==================================================================== f . 17.53 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better b . 2.20 |============================================================== c . 2.19 |============================================================== d . 2.45 |===================================================================== e . 2.44 |===================================================================== f . 2.45 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better b . 4.74 |============================================================= c . 4.74 |============================================================= d . 5.36 |===================================================================== e . 5.28 |==================================================================== f . 5.36 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better b . 0.87 |============================================================= c . 0.88 |============================================================== d . 0.97 |==================================================================== e . 0.97 |==================================================================== f . 0.98 |===================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better b . 61.85 |=========================================================== c . 63.14 |============================================================ d . 71.16 |==================================================================== e . 69.03 |================================================================== f . 70.56 |=================================================================== John The Ripper 2023.03.14 Test: bcrypt Real C/S > Higher Is Better b . 31152 |============================================ c . 31110 |============================================ d . 47260 |=================================================================== e . 47942 |==================================================================== f . 47587 |=================================================================== John The Ripper 2023.03.14 Test: WPA PSK Real C/S > Higher Is Better b . 36403 |======================================== c . 36403 |======================================== d . 60805 |=================================================================== e . 61351 |==================================================================== f . 61337 |==================================================================== John The Ripper 2023.03.14 Test: Blowfish Real C/S > Higher Is Better b . 26232 |===================================== c . 31050 |============================================ d . 47385 |==================================================================== e . 47590 |==================================================================== f . 47203 |=================================================================== John The Ripper 2023.03.14 Test: HMAC-SHA512 Real C/S > Higher Is Better b . 45526000 |========================================= c . 46015000 |========================================== d . 71981000 |================================================================= e . 65609000 |=========================================================== f . 71931000 |================================================================= John The Ripper 2023.03.14 Test: MD5 Real C/S > Higher Is Better b . 1134000 |======================================== c . 1131000 |======================================== d . 1862000 |================================================================= e . 1862000 |================================================================= f . 1888000 |================================================================== LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU M samples/sec > Higher Is Better b . 2.88 |=============================================== c . 2.87 |=============================================== d . 4.15 |==================================================================== e . 4.17 |==================================================================== f . 4.22 |===================================================================== LuxCoreRender 2.6 Scene: Danish Mood - Acceleration: CPU M samples/sec > Higher Is Better b . 2.22 |============================================ c . 2.27 |============================================= d . 3.44 |==================================================================== e . 3.46 |===================================================================== f . 3.48 |===================================================================== LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU M samples/sec > Higher Is Better b . 4.88 |================================================ c . 4.91 |================================================= d . 6.93 |===================================================================== e . 6.96 |===================================================================== f . 6.91 |===================================================================== LuxCoreRender 2.6 Scene: LuxCore Benchmark - Acceleration: CPU M samples/sec > Higher Is Better b . 2.54 |============================================= c . 2.55 |============================================= d . 3.82 |==================================================================== e . 3.89 |===================================================================== f . 3.85 |==================================================================== LuxCoreRender 2.6 Scene: Rainbow Colors and Prism - Acceleration: CPU M samples/sec > Higher Is Better b . 12.46 |=============================================== c . 12.54 |=============================================== d . 17.96 |==================================================================== e . 17.74 |=================================================================== f . 14.89 |======================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better b . 8.637 |==================================================================== c . 7.127 |======================================================== d . 4.774 |====================================== e . 4.833 |====================================== f . 4.785 |====================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better b . 134.19 |=================================================================== c . 134.63 |=================================================================== d . 129.70 |================================================================= e . 129.45 |================================================================ f . 131.70 |================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better b . 19.03 |============================================ c . 19.15 |============================================ d . 29.50 |==================================================================== e . 29.57 |==================================================================== f . 29.19 |=================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better b . 23.10 |============================================ c . 23.20 |============================================= d . 35.45 |==================================================================== e . 35.33 |==================================================================== f . 35.27 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better b . 13.07 |============================================== c . 13.09 |============================================== d . 19.38 |==================================================================== e . 19.43 |==================================================================== f . 19.40 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better b . 32.39 |=================================================== c . 32.33 |=================================================== d . 42.25 |=================================================================== e . 42.88 |==================================================================== f . 43.18 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better b . 40.71 |=================================================== c . 40.69 |=================================================== d . 54.02 |=================================================================== e . 54.71 |==================================================================== f . 53.99 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better b . 54.14 |================================================= c . 54.29 |================================================= d . 75.87 |==================================================================== e . 73.99 |================================================================== f . 72.63 |================================================================= SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 58.46 |===================================================== c . 58.18 |==================================================== d . 75.36 |==================================================================== e . 75.65 |==================================================================== f . 75.06 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 146.57 |=================================================== c . 148.55 |=================================================== d . 194.35 |=================================================================== e . 190.16 |================================================================== f . 194.23 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 149.16 |==================================================== c . 147.09 |=================================================== d . 193.28 |=================================================================== e . 190.91 |================================================================== f . 191.65 |================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 71.18 |================================================= c . 71.18 |================================================= d . 98.86 |=================================================================== e . 99.72 |==================================================================== f . 98.68 |=================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 139.99 |=================================================== c . 140.06 |=================================================== d . 185.07 |=================================================================== e . 178.47 |================================================================= f . 170.99 |============================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 93.49 |========================================================= c . 96.00 |=========================================================== d . 107.40 |================================================================== e . 107.34 |================================================================== f . 108.94 |=================================================================== SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 111.84 |================================================= c . 112.34 |================================================= d . 137.97 |============================================================= e . 150.27 |================================================================== f . 152.13 |=================================================================== SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 88.07 |================================================ c . 88.36 |================================================ d . 122.15 |=================================================================== e . 120.84 |================================================================== f . 120.89 |================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better b . 9.41 |============================================ c . 9.43 |============================================= d . 14.25 |=================================================================== e . 14.29 |==================================================================== f . 14.38 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better b . 27.74 |================================================ c . 27.74 |================================================ d . 38.59 |=================================================================== e . 38.46 |================================================================== f . 39.46 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better b . 29.30 |============================================== c . 29.34 |============================================== d . 41.03 |================================================================= e . 42.91 |==================================================================== f . 42.68 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better b . 35.30 |=============================================== c . 35.09 |=============================================== d . 50.11 |=================================================================== e . 50.81 |==================================================================== f . 50.69 |==================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better b . 6.539 |======================================================== c . 6.550 |======================================================== d . 7.829 |=================================================================== e . 7.946 |==================================================================== f . 7.834 |=================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better b . 13.27 |========================================================== c . 13.28 |========================================================== d . 15.44 |==================================================================== e . 15.30 |=================================================================== f . 15.44 |==================================================================== x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better b . 25.70 |==================================================== c . 26.74 |====================================================== d . 32.51 |================================================================== e . 33.23 |==================================================================== f . 33.47 |==================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better b . 0.43 |============================================= c . 0.43 |============================================= d . 0.65 |==================================================================== e . 0.66 |===================================================================== f . 0.66 |===================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better b . 387 |================================================= c . 386 |================================================= d . 547 |====================================================================== e . 545 |===================================================================== f . 549 |====================================================================== OSPRay 2.12 Benchmark: particle_volume/ao/real_time Items Per Second > Higher Is Better b . 7.37745 |=============================================== c . 7.36690 |=============================================== d . 10.16860 |================================================================= e . 10.20380 |================================================================= f . 10.23340 |================================================================= OSPRay 2.12 Benchmark: particle_volume/scivis/real_time Items Per Second > Higher Is Better b . 7.32159 |=============================================== c . 7.32078 |=============================================== d . 10.11880 |================================================================= e . 10.12290 |================================================================= f . 10.16890 |================================================================= OSPRay 2.12 Benchmark: particle_volume/pathtracer/real_time Items Per Second > Higher Is Better b . 169.65 |====================================================== c . 169.84 |====================================================== d . 207.16 |================================================================== e . 209.44 |=================================================================== f . 204.45 |================================================================= OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/ao/real_time Items Per Second > Higher Is Better b . 3.69580 |============================================== c . 3.79562 |=============================================== d . 5.25193 |================================================================== e . 5.27642 |================================================================== f . 5.05305 |=============================================================== OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time Items Per Second > Higher Is Better b . 3.60869 |=============================================== c . 3.65807 |=============================================== d . 5.09456 |================================================================== e . 5.03492 |================================================================= f . 4.94223 |================================================================ OSPRay 2.12 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time Items Per Second > Higher Is Better b . 5.03922 |================================================ c . 5.04566 |================================================ d . 6.94770 |================================================================== e . 6.92496 |================================================================== f . 6.94737 |================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better b . 127009 |============================================== c . 127943 |============================================== d . 183859 |================================================================== e . 171918 |============================================================== f . 185607 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better b . 92168 |======================================== c . 92137 |======================================== d . 142133 |============================================================= e . 155668 |=================================================================== f . 138934 |============================================================ Stockfish 15 Total Time Nodes Per Second > Higher Is Better b . 46079885 |========================================== c . 41998826 |====================================== d . 71722427 |================================================================= e . 64256226 |========================================================== f . 71115165 |================================================================ asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better b . 47742886 |=========================================== c . 47676136 |=========================================== d . 71318180 |================================================================ e . 71944056 |================================================================ f . 72527312 |================================================================= libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better b . 44.20 |==================================================================== c . 44.00 |==================================================================== d . 33.20 |=================================================== e . 32.79 |================================================== f . 33.17 |=================================================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better b . 4.515 |=================================================================== c . 4.581 |==================================================================== d . 3.852 |========================================================= e . 3.472 |==================================================== f . 3.854 |========================================================= libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better b . 6.908 |=================================================================== c . 6.983 |==================================================================== d . 5.097 |================================================== e . 5.063 |================================================= f . 5.066 |================================================= Timed Godot Game Engine Compilation 4.0 Time To Compile Seconds < Lower Is Better b . 230.16 |================================================================== c . 234.32 |=================================================================== d . 163.49 |=============================================== e . 162.57 |============================================== f . 162.80 |=============================================== Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better b . 65.56 |==================================================================== c . 64.96 |=================================================================== d . 44.92 |=============================================== e . 45.82 |================================================ f . 45.72 |=============================================== Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better b . 778.31 |=================================================================== c . 767.22 |================================================================== d . 519.60 |============================================= e . 527.01 |============================================= f . 526.02 |============================================= Timed LLVM Compilation 16.0 Build System: Ninja Seconds < Lower Is Better b . 439.46 |=================================================================== c . 435.62 |================================================================== d . 308.21 |=============================================== e . 307.20 |=============================================== f . 307.93 |=============================================== Timed Mesa Compilation 21.0 Time To Compile Seconds < Lower Is Better b . 29.83 |==================================================================== c . 29.20 |=================================================================== d . 21.80 |================================================== e . 21.85 |================================================== f . 21.99 |================================================== Timed Node.js Compilation 19.8.1 Time To Compile Seconds < Lower Is Better b . 357.10 |=================================================================== c . 355.83 |=================================================================== d . 251.15 |=============================================== e . 249.43 |=============================================== f . 249.69 |=============================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M Seconds < Lower Is Better b . 13.44 |==================================================================== c . 13.52 |==================================================================== d . 10.78 |====================================================== e . 10.86 |======================================================= f . 11.11 |======================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better b . 2.98963 |================================================================== c . 2.99292 |================================================================== d . 2.01150 |============================================ e . 2.01217 |============================================ f . 2.03456 |============================================= oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better b . 4.36881 |================================================================== c . 4.39625 |================================================================== d . 4.30701 |================================================================= e . 4.30610 |================================================================= f . 4.31754 |================================================================= oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better b . 3319.64 |================================================================== c . 3319.30 |================================================================== d . 2113.83 |========================================== e . 2125.71 |========================================== f . 2141.47 |=========================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better b . 1705.51 |================================================================== c . 1705.89 |================================================================== d . 1062.21 |========================================= e . 1083.23 |========================================== f . 1081.46 |========================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b . 3320.34 |================================================================== c . 3321.37 |================================================================== d . 2150.83 |=========================================== e . 2145.16 |=========================================== f . 2188.89 |=========================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better b . 1705.10 |================================================================== c . 1707.37 |================================================================== d . 1145.28 |============================================ e . 1064.70 |========================================= f . 1044.98 |======================================== Ngspice 34 Circuit: C2670 Seconds < Lower Is Better b . 66.39 |==================================================================== c . 66.08 |==================================================================== d . 57.22 |=========================================================== e . 57.46 |=========================================================== f . 56.87 |========================================================== Ngspice 34 Circuit: C7552 Seconds < Lower Is Better b . 65.90 |==================================================================== c . 63.91 |================================================================== d . 56.74 |=========================================================== e . 56.81 |=========================================================== f . 56.77 |=========================================================== OpenSSL 3.1 Algorithm: SHA256 byte/s > Higher Is Better b . 21234053100 |===================================== c . 21897801590 |====================================== d . 35393577110 |============================================================== e . 35045220680 |============================================================= f . 35479543830 |============================================================== OpenSSL 3.1 Algorithm: SHA512 byte/s > Higher Is Better b . 6922574030 |======================================= c . 7042483840 |======================================== d . 10970736110 |============================================================== e . 10887827050 |============================================================== f . 10972703730 |============================================================== OpenSSL 3.1 Algorithm: RSA4096 sign/s > Higher Is Better b . 3577.3 |============================================ c . 3578.6 |============================================ d . 5418.1 |=================================================================== e . 5294.3 |================================================================= f . 5367.5 |================================================================== OpenSSL 3.1 Algorithm: RSA4096 verify/s > Higher Is Better b . 231709.8 |========================================== c . 231842.8 |=========================================== d . 353220.2 |================================================================= e . 345908.2 |=============================================================== f . 354387.3 |================================================================= OpenSSL 3.1 Algorithm: ChaCha20 byte/s > Higher Is Better b . 43683166890 |======================================== c . 43658009260 |======================================== d . 68204421390 |============================================================== e . 67647607600 |============================================================= f . 68291402680 |============================================================== OpenSSL 3.1 Algorithm: AES-128-GCM byte/s > Higher Is Better b . 106224257980 |====================================== c . 106192145890 |====================================== d . 168593428210 |============================================================= e . 167529875870 |============================================================= f . 167740437850 |============================================================= OpenSSL 3.1 Algorithm: AES-256-GCM byte/s > Higher Is Better b . 91408403390 |====================================== c . 94488932900 |======================================= d . 145829960090 |============================================================= e . 144868800380 |============================================================= f . 145929235660 |============================================================= OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better b . 31517307700 |========================================== c . 30264414210 |======================================== d . 47030287560 |============================================================== e . 47048102160 |============================================================== f . 47059792960 |============================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better b . 24.04 |============================================================= c . 23.75 |============================================================= d . 26.59 |==================================================================== e . 26.44 |==================================================================== f . 26.63 |==================================================================== Liquid-DSP 1.6 Threads: 8 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better b . 139440000 |==================================================== c . 140020000 |==================================================== d . 168030000 |=============================================================== e . 171400000 |================================================================ f . 169900000 |=============================================================== Liquid-DSP 1.6 Threads: 16 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better b . 204060000 |======================================================= c . 204100000 |======================================================= d . 223360000 |============================================================ e . 239170000 |================================================================ f . 239250000 |================================================================ Liquid-DSP 1.6 Threads: 32 - Buffer Length: 256 - Filter Length: 512 samples/s > Higher Is Better b . 228820000 |============================================ c . 228970000 |============================================ d . 329800000 |================================================================ e . 331120000 |================================================================ f . 329870000 |================================================================ Memcached 1.6.19 Set To Get Ratio: 1:10 Ops/sec > Higher Is Better b . 4464270.25 |================================================= c . 4305589.62 |=============================================== d . 5693052.64 |=============================================================== e . 5730258.98 |=============================================================== f . 5727247.49 |=============================================================== Memcached 1.6.19 Set To Get Ratio: 1:100 Ops/sec > Higher Is Better b . 4058394.64 |================================================= c . 4149899.46 |================================================== d . 5061427.55 |============================================================= e . 5241319.80 |=============================================================== f . 5171670.55 |============================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better b . 81.20 |========================================== c . 81.26 |========================================== d . 130.36 |=================================================================== e . 130.22 |=================================================================== f . 130.42 |=================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better b . 10.69 |=========================================== c . 10.69 |=========================================== d . 16.96 |==================================================================== e . 16.95 |==================================================================== f . 16.98 |==================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better b . 1.0807 |============================================== c . 1.0804 |============================================== d . 1.5573 |================================================================== e . 1.5633 |================================================================== f . 1.5848 |=================================================================== GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better d . 1.143 |==================================================================== e . 1.148 |==================================================================== f . 1.148 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better b . 947197 |======================================= c . 833675 |================================== d . 1299800 |====================================================== e . 1591084 |================================================================== f . 1599780 |================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better b . 1.056 |============================================================ b . 1.054 |============================================================ c . 1.200 |==================================================================== c . 0.910 |==================================================== d . 0.769 |============================================ d . 0.734 |========================================== e . 0.629 |==================================== e . 0.615 |=================================== f . 0.625 |=================================== f . 0.623 |=================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency TPS > Higher Is Better b . 949091 |====================================== c . 1098384 |============================================= d . 1361760 |======================================================= e . 1627171 |================================================================== f . 1604627 |================================================================= PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better b . 41736 |================================================= c . 41656 |================================================= d . 55901 |================================================================== e . 56335 |=================================================================== f . 57567 |==================================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better b . 23.96 |==================================================================== b . 23.50 |=================================================================== c . 24.01 |==================================================================== c . 23.71 |=================================================================== d . 17.89 |=================================================== d . 18.25 |==================================================== e . 17.75 |================================================== e . 17.94 |=================================================== f . 17.37 |================================================= f . 19.69 |======================================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency TPS > Higher Is Better b . 42553 |==================================================== c . 42185 |=================================================== d . 54797 |=================================================================== e . 55746 |==================================================================== f . 50776 |============================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better b . 23.91 |============================================== c . 23.93 |============================================== d . 35.36 |==================================================================== e . 35.10 |=================================================================== f . 35.42 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better b . 24.14 |=============================================== c . 24.10 |=============================================== d . 34.80 |==================================================================== e . 34.83 |==================================================================== f . 34.84 |==================================================================== Darktable 4.4.2 Test: Boat - Acceleration: CPU-only Seconds < Lower Is Better b . 4.194 |================================================================= c . 4.389 |==================================================================== d . 2.697 |========================================== e . 2.705 |========================================== f . 2.771 |=========================================== Darktable 4.4.2 Test: Masskrug - Acceleration: CPU-only Seconds < Lower Is Better b . 2.364 |================================================================== c . 2.423 |==================================================================== d . 1.694 |================================================ e . 1.671 |=============================================== f . 1.667 |=============================================== Darktable 4.4.2 Test: Server Rack - Acceleration: CPU-only Seconds < Lower Is Better b . 0.266 |========================================================= c . 0.317 |==================================================================== d . 0.209 |============================================= e . 0.187 |======================================== f . 0.217 |=============================================== Darktable 4.4.2 Test: Server Room - Acceleration: CPU-only Seconds < Lower Is Better b . 1.833 |==================================================================== c . 1.825 |==================================================================== d . 1.415 |==================================================== e . 1.434 |===================================================== f . 1.405 |==================================================== GIMP 2.10.34 Test: resize Seconds < Lower Is Better b . 12.63 |==================================================================== c . 12.39 |================================================================== d . 12.52 |=================================================================== e . 12.11 |================================================================= f . 12.70 |==================================================================== GIMP 2.10.34 Test: rotate Seconds < Lower Is Better b . 9.199 |================================================================== c . 9.447 |==================================================================== d . 8.806 |=============================================================== e . 8.854 |================================================================ f . 8.828 |================================================================ GIMP 2.10.34 Test: auto-levels Seconds < Lower Is Better b . 9.615 |=================================================================== c . 9.748 |==================================================================== d . 9.459 |================================================================== e . 9.526 |================================================================== f . 9.526 |================================================================== GIMP 2.10.34 Test: unsharp-mask Seconds < Lower Is Better b . 11.12 |=================================================================== c . 11.35 |==================================================================== d . 11.04 |================================================================== e . 11.12 |=================================================================== f . 11.17 |=================================================================== RawTherapee Total Benchmark Time Seconds < Lower Is Better b . 40.09 |==================================================================== c . 40.30 |==================================================================== d . 34.45 |========================================================== e . 35.19 |=========================================================== f . 35.08 |=========================================================== Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better b . 78.97 |==================================================================== c . 79.19 |==================================================================== d . 53.09 |============================================== e . 52.94 |============================================= f . 52.67 |============================================= Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better b . 109.94 |=================================================================== c . 110.19 |=================================================================== d . 75.40 |============================================== e . 75.33 |============================================== f . 75.24 |============================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better b . 2.689 |============================================= c . 2.600 |=========================================== d . 4.064 |==================================================================== e . 4.062 |==================================================================== f . 4.067 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better b . 7.592 |========================================== c . 7.778 |=========================================== d . 12.020 |================================================================== e . 12.189 |=================================================================== f . 11.407 |=============================================================== PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better b . 427 |=================================================================== c . 446 |====================================================================== d . 377 |=========================================================== e . 378 |=========================================================== f . 376 |=========================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better b . 10.20 |==================================================================== c . 10.10 |=================================================================== d . 9.18 |============================================================= e . 9.23 |============================================================== f . 8.98 |============================================================ PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better b . 37.5 |===================================================================== c . 37.4 |===================================================================== d . 33.0 |============================================================= e . 33.6 |============================================================== f . 33.0 |============================================================= PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better b . 71.6 |===================================================================== c . 71.4 |===================================================================== d . 63.6 |============================================================= e . 67.0 |================================================================= f . 64.8 |============================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better b . 4.85 |===================================================================== c . 4.84 |===================================================================== d . 4.65 |================================================================== e . 4.68 |=================================================================== f . 4.66 |================================================================== nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better b . 135692.91 |=========================================== c . 132783.22 |========================================== d . 196302.45 |============================================================== e . 200059.86 |=============================================================== f . 201855.19 |================================================================ nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better b . 127899.06 |============================================ c . 127678.15 |=========================================== d . 184950.78 |=============================================================== e . 180058.09 |============================================================= f . 188170.40 |================================================================ Natron 2.4.3 Input: Spaceship FPS > Higher Is Better b . 4.6 |================================================== c . 4.4 |================================================ d . 6.4 |====================================================================== e . 6.3 |===================================================================== f . 6.4 |====================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better b . 1491682 |========================================================== c . 1479761 |========================================================== d . 1692102 |================================================================== e . 1685554 |================================================================== f . 1686956 |================================================================== Selenium Benchmark: Kraken - Browser: Firefox ms < Lower Is Better b . 520.2 |================================================================ c . 520.4 |================================================================ d . 487.8 |============================================================ e . 552.8 |==================================================================== f . 490.7 |============================================================ Selenium Benchmark: Octane - Browser: Firefox Geometric Mean > Higher Is Better b . 55056 |============================================================== c . 55067 |============================================================== d . 60754 |==================================================================== e . 60711 |==================================================================== f . 60209 |=================================================================== Selenium Benchmark: Jetstream 2 - Browser: Firefox Score > Higher Is Better b . 229.49 |============================================================ c . 227.94 |============================================================ d . 251.97 |================================================================== e . 253.62 |================================================================== f . 256.14 |=================================================================== Selenium Benchmark: Speedometer - Browser: Firefox Runs Per Minute > Higher Is Better b . 406 |================================================================== c . 407 |================================================================== d . 433 |====================================================================== e . 433 |====================================================================== f . 430 |====================================================================== Selenium Benchmark: Kraken - Browser: Google Chrome ms < Lower Is Better b . 349.0 |==================================================================== c . 343.2 |=================================================================== d . 319.4 |============================================================== e . 318.5 |============================================================== f . 317.3 |============================================================== Selenium Benchmark: Octane - Browser: Google Chrome Geometric Mean > Higher Is Better b . 97769 |======================================================= c . 105856 |============================================================ d . 117684 |================================================================== e . 102783 |========================================================== f . 118632 |=================================================================== Selenium Benchmark: PSPDFKit WASM - Browser: Firefox Score < Lower Is Better b . 2108 |===================================================================== c . 2096 |===================================================================== d . 2059 |=================================================================== e . 2051 |=================================================================== f . 2055 |=================================================================== Selenium Benchmark: Jetstream 2 - Browser: Google Chrome Score > Higher Is Better b . 382.67 |============================================================= c . 388.31 |============================================================== d . 419.01 |=================================================================== e . 421.02 |=================================================================== f . 419.30 |=================================================================== Selenium Benchmark: Speedometer - Browser: Google Chrome Runs Per Minute > Higher Is Better b . 486 |==================================================================== c . 471 |================================================================= d . 498 |===================================================================== e . 502 |====================================================================== f . 504 |====================================================================== Selenium Benchmark: PSPDFKit WASM - Browser: Google Chrome Score < Lower Is Better b . 2202 |===================================================================== c . 2170 |==================================================================== d . 2139 |=================================================================== e . 2140 |=================================================================== f . 2139 |=================================================================== Selenium Benchmark: WASM imageConvolute - Browser: Firefox ms < Lower Is Better b . 16.3 |===================================================================== c . 16.1 |==================================================================== d . 14.2 |============================================================ e . 14.3 |============================================================= f . 14.3 |============================================================= Selenium Benchmark: WASM collisionDetection - Browser: Firefox ms < Lower Is Better b . 242.3 |==================================================================== c . 242.5 |==================================================================== d . 216.0 |============================================================= e . 214.3 |============================================================ f . 214.5 |============================================================ Selenium Benchmark: WASM imageConvolute - Browser: Google Chrome ms < Lower Is Better b . 15.95 |================================================================ c . 15.95 |================================================================ d . 14.10 |========================================================= e . 16.93 |==================================================================== f . 14.04 |======================================================== Selenium Benchmark: WASM collisionDetection - Browser: Google Chrome ms < Lower Is Better b . 232.97 |=================================================================== c . 193.39 |======================================================== d . 211.66 |============================================================= e . 204.81 |=========================================================== f . 171.17 |================================================= Chaos Group V-RAY 5.02 Mode: CPU vsamples > Higher Is Better b . 18743 |============================================ c . 18885 |============================================ d . 27940 |================================================================= e . 29012 |==================================================================== f . 28970 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 7176 |===================================================================== c . 7195 |===================================================================== d . 5114 |================================================= e . 5081 |================================================= f . 5039 |================================================ OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 7338 |===================================================================== c . 7320 |===================================================================== d . 5095 |================================================ e . 5127 |================================================ f . 5175 |================================================= OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 8523 |===================================================================== c . 8512 |===================================================================== d . 6008 |================================================= e . 5932 |================================================ f . 6037 |================================================= OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 118595 |=================================================================== c . 118639 |=================================================================== d . 83823 |=============================================== e . 83524 |=============================================== f . 83238 |=============================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 234540 |=================================================================== c . 234968 |=================================================================== d . 167519 |================================================ e . 166105 |=============================================== f . 166313 |=============================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 120716 |=================================================================== c . 120664 |=================================================================== d . 85258 |=============================================== e . 84586 |=============================================== f . 84845 |=============================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 239054 |=================================================================== c . 238496 |=================================================================== d . 169828 |================================================ e . 168775 |=============================================== f . 168378 |=============================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 139891 |=================================================================== c . 139809 |=================================================================== d . 99301 |================================================ e . 99388 |================================================ f . 98534 |=============================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 277357 |=================================================================== c . 277524 |=================================================================== d . 196772 |================================================ e . 196983 |================================================ f . 195691 |=============================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 1830 |===================================================================== c . 1816 |==================================================================== d . 1294 |================================================= e . 1305 |================================================= f . 1296 |================================================= OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 1848 |===================================================================== c . 1840 |===================================================================== d . 1304 |================================================= e . 1294 |================================================ f . 1318 |================================================= OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 2156 |===================================================================== c . 2150 |===================================================================== d . 1547 |================================================== e . 1524 |================================================= f . 1508 |================================================ OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 31957 |==================================================================== c . 32007 |==================================================================== d . 20752 |============================================ e . 20746 |============================================ f . 20598 |============================================ OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 61145 |==================================================================== c . 61161 |==================================================================== d . 43729 |================================================= e . 42719 |=============================================== f . 42916 |================================================ OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 32575 |==================================================================== c . 32538 |==================================================================== d . 20919 |============================================ e . 20740 |=========================================== f . 21146 |============================================ OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 62478 |==================================================================== c . 62329 |==================================================================== d . 43450 |=============================================== e . 44009 |================================================ f . 43624 |=============================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 37384 |==================================================================== c . 37367 |==================================================================== d . 24365 |============================================ e . 24526 |============================================= f . 24512 |============================================= OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better b . 72426 |==================================================================== c . 72092 |==================================================================== d . 50740 |================================================ e . 50458 |=============================================== f . 50705 |================================================ DuckDB 0.9.1 Benchmark: IMDB Seconds < Lower Is Better b . 86.57 |==================================================================== c . 86.56 |==================================================================== d . 71.37 |======================================================== DuckDB 0.9.1 Benchmark: TPC-H Parquet Seconds < Lower Is Better b . 89.75 |=================================================================== c . 90.45 |==================================================================== d . 83.67 |=============================================================== QMCPACK 3.17.1 Input: H4_ae Total Execution Time - Seconds < Lower Is Better b . 22.73 |============================================================== c . 25.09 |==================================================================== d . 18.59 |================================================== e . 18.30 |================================================== f . 17.70 |================================================ QMCPACK 3.17.1 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better b . 285.85 |=================================================================== c . 284.18 |=================================================================== d . 208.70 |================================================= e . 203.73 |================================================ f . 202.62 |=============================================== QMCPACK 3.17.1 Input: LiH_ae_MSD Total Execution Time - Seconds < Lower Is Better b . 169.05 |=================================================================== c . 168.70 |=================================================================== d . 168.69 |=================================================================== e . 168.37 |=================================================================== f . 168.31 |=================================================================== QMCPACK 3.17.1 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better b . 32.16 |=================================================================== c . 32.72 |==================================================================== d . 31.97 |================================================================== e . 32.19 |=================================================================== f . 32.23 |=================================================================== QMCPACK 3.17.1 Input: O_ae_pyscf_UHF Total Execution Time - Seconds < Lower Is Better b . 262.57 |================================================================== c . 264.99 |=================================================================== d . 258.40 |================================================================= e . 258.48 |================================================================= f . 259.37 |================================================================== QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better b . 266.24 |=================================================================== c . 266.65 |=================================================================== d . 265.33 |=================================================================== e . 264.55 |================================================================== f . 263.94 |================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better b . 3.45 |=========================================== c . 3.45 |=========================================== d . 5.48 |==================================================================== e . 5.45 |==================================================================== f . 5.54 |===================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better b . 1730.89 |================================================================== c . 1733.40 |================================================================== d . 1448.07 |======================================================= e . 1447.91 |======================================================= f . 1431.86 |======================================================= OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better b . 38.73 |=============================================== c . 38.98 |================================================ d . 53.71 |================================================================== e . 54.88 |=================================================================== f . 55.69 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better b . 154.78 |=================================================================== c . 153.73 |=================================================================== d . 148.70 |================================================================ e . 145.64 |=============================================================== f . 143.52 |============================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better b . 38.75 |================================================ c . 39.00 |================================================ d . 54.06 |=================================================================== e . 54.78 |==================================================================== f . 53.90 |=================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better b . 154.50 |=================================================================== c . 153.66 |=================================================================== d . 147.80 |================================================================ e . 145.89 |=============================================================== f . 148.29 |================================================================ OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better b . 309.56 |========================================================== c . 313.32 |=========================================================== d . 351.84 |================================================================== e . 352.96 |================================================================== f . 355.77 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better b . 19.33 |========================================================== c . 19.09 |========================================================= d . 22.70 |==================================================================== e . 22.63 |==================================================================== f . 22.45 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better b . 12.75 |=============================================== c . 12.75 |=============================================== d . 18.22 |=================================================================== e . 18.46 |==================================================================== f . 18.26 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better b . 469.85 |=================================================================== c . 470.00 |=================================================================== d . 436.86 |============================================================== e . 432.96 |============================================================== f . 435.36 |============================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better b . 1011.66 |======================================== c . 1028.14 |========================================= d . 1564.50 |============================================================== e . 1569.98 |============================================================== f . 1668.97 |================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better b . 5.89 |===================================================================== c . 5.81 |==================================================================== d . 5.10 |============================================================ e . 5.08 |============================================================ f . 4.78 |======================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better b . 106.23 |=========================================================== c . 105.65 |=========================================================== d . 120.21 |=================================================================== e . 120.99 |=================================================================== f . 120.32 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better b . 56.41 |========================================================== c . 56.71 |========================================================== d . 66.49 |==================================================================== e . 66.06 |==================================================================== f . 66.42 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better b . 607.54 |============================================= c . 610.86 |============================================= d . 886.66 |================================================================= e . 894.24 |================================================================== f . 910.84 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better b . 9.84 |===================================================================== c . 9.79 |===================================================================== d . 9.01 |=============================================================== e . 8.93 |=============================================================== f . 8.77 |============================================================= OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better b . 383.74 |============================================== c . 383.97 |============================================== d . 550.30 |=================================================================== e . 553.27 |=================================================================== f . 553.49 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better b . 41.65 |================================================================= c . 41.63 |================================================================= d . 43.58 |==================================================================== e . 43.34 |==================================================================== f . 43.32 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better b . 2125.52 |=============================================== c . 2170.03 |================================================ d . 2989.78 |================================================================== e . 3010.60 |================================================================== f . 3005.33 |================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better b . 7.52 |================================================================= c . 7.37 |=============================================================== d . 8.02 |===================================================================== e . 7.96 |==================================================================== f . 7.98 |===================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better b . 255.00 |============================================= c . 255.73 |============================================= d . 369.15 |================================================================= e . 371.16 |================================================================= f . 382.30 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better b . 23.47 |==================================================================== c . 23.41 |==================================================================== d . 21.63 |=============================================================== e . 21.51 |============================================================== f . 20.89 |============================================================= OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better b . 44.66 |=============================================== c . 44.39 |=============================================== d . 62.26 |================================================================== e . 63.33 |=================================================================== f . 64.57 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better b . 134.23 |=================================================================== c . 135.00 |=================================================================== d . 128.32 |================================================================ e . 126.22 |=============================================================== f . 123.75 |============================================================= OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better b . 1361.39 |================================================ c . 1359.67 |================================================ d . 1854.34 |================================================================== e . 1855.23 |================================================================== f . 1852.66 |================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better b . 11.74 |============================================================== c . 11.76 |============================================================== d . 12.93 |==================================================================== e . 12.93 |==================================================================== f . 12.95 |==================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better b . 503.59 |=============================================== c . 502.05 |=============================================== d . 662.91 |============================================================== e . 675.24 |=============================================================== f . 715.44 |=================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better b . 11.88 |=================================================================== c . 11.91 |=================================================================== d . 12.05 |==================================================================== e . 11.83 |=================================================================== f . 11.17 |=============================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better b . 224.92 |================================================== c . 224.74 |================================================== d . 295.35 |================================================================== e . 298.80 |=================================================================== f . 299.80 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better b . 71.08 |============================================================ c . 71.15 |============================================================ d . 81.20 |==================================================================== e . 80.25 |=================================================================== f . 79.99 |=================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better b . 12503.20 |=============================================== c . 12456.32 |=============================================== d . 16901.10 |================================================================ e . 17036.01 |================================================================ f . 17187.30 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better b . 1.27 |============================================================== c . 1.28 |=============================================================== d . 1.41 |===================================================================== e . 1.40 |===================================================================== f . 1.39 |==================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better b . 269.31 |================================================== c . 266.96 |================================================= d . 353.52 |================================================================= e . 357.15 |================================================================== f . 363.79 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better b . 59.37 |============================================================ c . 59.91 |============================================================ d . 67.85 |==================================================================== e . 67.16 |=================================================================== f . 65.93 |================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better b . 32245.66 |================================================= c . 32241.73 |================================================= d . 41956.06 |================================================================ e . 42386.78 |================================================================= f . 42343.47 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better b . 0.49 |============================================================ c . 0.49 |============================================================ d . 0.56 |===================================================================== e . 0.55 |==================================================================== f . 0.55 |==================================================================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better d . 221.24 |=================================================================== e . 221.12 |=================================================================== f . 220.53 |===================================================================

new tests