new sat 2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 d: Processor: 2 x Intel Xeon Platinum 8490H @ 3.50GHz (120 Cores / 240 Threads), Motherboard: Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 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 . 127.35 |================================================================= b . 131.69 |=================================================================== CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 14.03 |================================================= b . 13.69 |================================================ c . 14.05 |================================================== d . 19.28 |==================================================================== 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 . 156.74 |=================================================================== b . 157.55 |=================================================================== 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 . 244.61 |=================================================================== b . 241.84 |================================================================== 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 . 71.74 |==================================================================== b . 71.46 |==================================================================== 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 . 162.02 |=================================================================== b . 158.12 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 140.10 |================================================================= b . 145.30 |=================================================================== c . 144.14 |================================================================== 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 . 165.32 |=============================================================== b . 175.74 |=================================================================== 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 . 67.45 |==================================================================== b . 63.59 |================================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 71.48 |==================================================== b . 66.64 |================================================= c . 92.64 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 64.85 |==================================================================== b . 63.68 |=================================================================== c . 62.71 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 345.60 |=================================================================== b . 331.45 |================================================================ c . 341.13 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 242.80 |=================================================================== b . 238.31 |================================================================== c . 236.92 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 175.04 |=================================================================== b . 176.18 |=================================================================== c . 175.27 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 136.09 |=================================================================== b . 133.27 |================================================================== c . 130.46 |================================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 159.22 |============================================================== b . 173.45 |=================================================================== c . 160.51 |============================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 1024 GFLOP/s > Higher Is Better a . 154.94 |=================================================================== b . 155.04 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 69.69 |==================================================================== b . 65.41 |================================================================ c . 65.12 |================================================================ 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 . 166.06 |=================================================================== b . 158.01 |================================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 1024 GFLOP/s > Higher Is Better a . 151.72 |=================================================================== b . 152.47 |=================================================================== c . 152.04 |=================================================================== 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 . 246.42 |=================================================================== b . 238.18 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 125.36 |=================================================================== b . 126.18 |=================================================================== c . 108.63 |========================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 1024 GFLOP/s > Higher Is Better a . 152.25 |=================================================================== b . 153.36 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 172.19 |=================================================================== b . 157.03 |============================================================= c . 159.46 |============================================================== 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 . 71.96 |==================================================================== b . 38.50 |==================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 119.58 |============================================================== b . 129.55 |=================================================================== c . 118.43 |============================================================= 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 . 164.82 |=================================================================== b . 158.42 |================================================================ HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 89.76 |==================================================== b . 41.56 |======================== c . 115.40 |=================================================================== 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 . 87.91 |================================================================== b . 90.23 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 130.15 |=============================================================== b . 138.93 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 1024 GFLOP/s > Higher Is Better a . 138.03 |=================================================================== b . 136.46 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 123.79 |=================================================================== b . 122.95 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 1024 GFLOP/s > Higher Is Better a . 299.64 |=================================================================== b . 297.94 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 1024 GFLOP/s > Higher Is Better a . 261.58 |=================================================================== b . 262.00 |=================================================================== 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 . 143.40 |=================================================================== b . 132.64 |============================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 161.82 |=================================================================== b . 161.36 |=================================================================== 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 . 134.08 |=================================================================== b . 133.67 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 360.02 |=================================================================== b . 323.21 |============================================================ 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 . 323.08 |============================================================== b . 348.23 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 242.76 |================================================================== b . 245.52 |=================================================================== 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 . 29.78 |====================== b . 92.73 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 1024 GFLOP/s > Higher Is Better a . 82.10 |==================================================================== b . 80.47 |=================================================================== 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 . 67.01 |==================================================================== b . 66.19 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 89.02 |=================================================================== b . 90.01 |==================================================================== 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 . 123.36 |=================================================================== b . 123.26 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 65.75 |=================================================================== b . 67.00 |==================================================================== 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 . 128.23 |================================================================== b . 129.79 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 72.03 |==================================================================== b . 71.31 |=================================================================== CloverLeaf 1.3 Input: clover_bm16 Seconds < Lower Is Better a . 224.98 |================================================== b . 214.08 |=============================================== c . 218.67 |================================================ d . 303.86 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 1024 GFLOP/s > Higher Is Better a . 152.49 |=================================================================== b . 152.92 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 1024 GFLOP/s > Higher Is Better a . 262.19 |=================================================================== b . 262.09 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 1024 GFLOP/s > Higher Is Better a . 137.37 |=================================================================== b . 137.38 |=================================================================== 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 . 322.72 |================================================================== b . 327.72 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 115.20 |============================================================= b . 125.70 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 1024 GFLOP/s > Higher Is Better a . 82.82 |==================================================================== b . 81.97 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 149.78 |=================================================================== b . 146.84 |================================================================== 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 . 67.43 |==================================================================== b . 65.55 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 133.76 |=================================================================== b . 131.44 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 1024 GFLOP/s > Higher Is Better a . 153.32 |=================================================================== b . 153.99 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 1024 GFLOP/s > Higher Is Better a . 298.19 |=================================================================== b . 297.89 |=================================================================== 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 . 120.20 |================================================================= b . 124.55 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 1024 GFLOP/s > Higher Is Better a . 82.66 |==================================================================== b . 82.83 |==================================================================== 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 . 135.65 |=================================================================== b . 132.37 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 1024 GFLOP/s > Higher Is Better a . 154.89 |=================================================================== b . 154.81 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 1024 GFLOP/s > Higher Is Better a . 82.72 |==================================================================== b . 82.77 |==================================================================== 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 . 124.49 |=================================================================== b . 123.11 |================================================================== CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 24.34 |=================================================== b . 24.97 |===================================================== c . 24.12 |=================================================== d . 32.19 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Magi kH/s > Higher Is Better a . 2683.56 |================================================================== b . 2681.44 |================================================================== d . 2672.68 |================================================================== Cpuminer-Opt 23.5 Algorithm: scrypt kH/s > Higher Is Better a . 1220.91 |================================================================== b . 1194.30 |================================================================= d . 1189.10 |================================================================ Cpuminer-Opt 23.5 Algorithm: Deepcoin kH/s > Higher Is Better a . 32300 |==================================================================== b . 32320 |==================================================================== d . 32317 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Ringcoin kH/s > Higher Is Better a . 5799.03 |================================================================= b . 5933.75 |================================================================== d . 5770.26 |================================================================ Cpuminer-Opt 23.5 Algorithm: Blake-2 S kH/s > Higher Is Better a . 535240 |=================================================================== b . 535430 |=================================================================== d . 533880 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Garlicoin kH/s > Higher Is Better a . 3725.51 |=========================================================== b . 3727.55 |=========================================================== d . 4200.71 |================================================================== Cpuminer-Opt 23.5 Algorithm: Skeincoin kH/s > Higher Is Better a . 133860 |=================================================================== b . 133600 |=================================================================== d . 134140 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 47950 |==================================================================== b . 46280 |================================================================== d . 47623 |==================================================================== Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 58960 |=================================================================== b . 59690 |==================================================================== d . 58620 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 267960 |=================================================================== b . 269860 |=================================================================== d . 267450 |================================================================== Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 384930 |=================================================================== b . 384820 |=================================================================== d . 384423 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 889 |====================================================================== b . 889 |====================================================================== d . 894 |====================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 907 |====================================================================== b . 908 |====================================================================== d . 910 |====================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1066 |===================================================================== b . 1064 |===================================================================== d . 1064 |===================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 14067 |==================================================================== b . 13991 |==================================================================== d . 14042 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 33358 |=================================================================== b . 33490 |==================================================================== d . 33652 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 14223 |=================================================================== b . 14248 |==================================================================== d . 14338 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 34608 |==================================================================== b . 33567 |================================================================== d . 33817 |================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 16770 |==================================================================== b . 16786 |==================================================================== d . 16765 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 38573 |=================================================================== b . 38554 |=================================================================== d . 39029 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 225 |===================================================================== b . 226 |====================================================================== d . 227 |====================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 230 |====================================================================== b . 230 |====================================================================== d . 231 |====================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 269 |====================================================================== b . 268 |===================================================================== d . 270 |====================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 3539 |===================================================================== b . 3542 |===================================================================== d . 3558 |===================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 7076 |==================================================================== b . 7113 |===================================================================== d . 7142 |===================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 3620 |===================================================================== b . 3594 |==================================================================== d . 3636 |===================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 7192 |==================================================================== b . 7193 |===================================================================== d . 7245 |===================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 4239 |===================================================================== b . 4213 |==================================================================== d . 4258 |===================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 8459 |===================================================================== b . 8429 |==================================================================== d . 8493 |===================================================================== DuckDB 0.9.1 Benchmark: IMDB Seconds < Lower Is Better a . 259.42 |=================================================================== d . 259.28 |=================================================================== DuckDB 0.9.1 Benchmark: TPC-H Parquet Seconds < Lower Is Better a . 178.04 |=================================================================== d . 178.83 |===================================================================