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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2310290-NE-NEWSAT36527
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 |===================================================================