2 x Intel Xeon Max 9480 testing with a Supermicro X13DEM v1.10 (1.3 BIOS) and ASPEED on Fedora Linux 38 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 2310315-NE-FF085987896
ff
2 x Intel Xeon Max 9480 testing with a Supermicro X13DEM v1.10 (1.3 BIOS) and ASPEED on Fedora Linux 38 via the Phoronix Test Suite.
a:
Processor: 2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads), Motherboard: Supermicro X13DEM v1.10 (1.3 BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb
OS: Fedora Linux 38, Kernel: 6.2.15-300.fc38.x86_64 (x86_64), Compiler: GCC 13.1.1 20230511 + Clang 16.0.3 + LLVM 16.0.3, File-System: xfs, Screen Resolution: 1920x1080
b:
Processor: 2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads), Motherboard: Supermicro X13DEM v1.10 (1.3 BIOS), Chipset: Intel Device 1bce, Memory: 512GB, Disk: 2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007, Graphics: ASPEED, Monitor: VE228, Network: 2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb
OS: Fedora Linux 38, Kernel: 6.2.15-300.fc38.x86_64 (x86_64), Compiler: GCC 13.1.1 20230511 + Clang 16.0.3 + LLVM 16.0.3, File-System: xfs, Screen Resolution: 1920x1080
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 . 141.03 |===================================================================
b . 139.99 |===================================================================
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
a . 254351.8 |=================================================================
b . 251353.6 |================================================================
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 . 127.50 |================================================================
b . 132.46 |===================================================================
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 . 166.29 |===================================================================
b . 159.72 |================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 66.99 |==============================================================
b . 73.97 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 180.52 |===================================================================
b . 174.89 |=================================================================
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 . 112.18 |===================================================================
b . 107.58 |================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 72.13 |=============================================================
b . 79.77 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 333.31 |===================================================================
b . 306.55 |==============================================================
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 . 81.86 |===================================================================
b . 83.29 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 153.01 |================================================================
b . 160.13 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 162.59 |===================================================================
b . 152.70 |===============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 178.39 |===================================================================
b . 165.20 |==============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 118.07 |==============================================================
b . 127.05 |===================================================================
QuantLib 1.32
Configuration: Single-Threaded
MFLOPS > Higher Is Better
a . 3374.9 |===================================================================
b . 3380.5 |===================================================================
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 . 295.49 |===========================================================
b . 336.54 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 314.76 |===================================================================
b . 307.20 |=================================================================
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 . 69.57 |===========================================================
b . 79.94 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 81.61 |====================================================================
b . 77.94 |=================================================================
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 . 189.42 |===================================================================
b . 173.05 |=============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 77.54 |====================================================================
b . 74.12 |=================================================================
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 . 143.89 |============================================================
b . 159.64 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 82.77 |===================================================================
b . 84.17 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 93.10 |====================================================================
b . 92.14 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 107.22 |===================================================================
b . 105.96 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 113.21 |===================================================================
b . 105.72 |===============================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 178.87 |==================================================================
b . 181.55 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 139.00 |===================================================================
b . 137.71 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 144.99 |===================================================================
b . 142.49 |==================================================================
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 . 172.22 |=================================================================
b . 177.20 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 107.37 |===================================================================
b . 106.78 |===================================================================
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 . 164.45 |===================================================================
b . 162.93 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 156.91 |==============================================================
b . 168.99 |===================================================================
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 . 318.07 |==============================================================
b . 345.08 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 152.23 |===================================================================
b . 143.88 |===============================================================
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 . 74.45 |==============================================================
b . 81.43 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 139.87 |=================================================================
b . 144.93 |===================================================================
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 . 108.79 |===================================================================
b . 103.74 |================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 362.60 |===================================================================
b . 333.95 |==============================================================
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 . 156.61 |===================================================================
b . 125.23 |======================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 281.35 |===================================================================
b . 268.92 |================================================================
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 . 125.63 |==========================================================
b . 143.95 |===================================================================
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 . 344.02 |================================================================
b . 358.69 |===================================================================
CloverLeaf 1.3
Input: clover_bm
Seconds < Lower Is Better
a . 38.11 |====================================================================
b . 36.59 |=================================================================
CloverLeaf 1.3
Input: clover_bm16
Seconds < Lower Is Better
a . 540.77 |=================================================================
b . 553.98 |===================================================================
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 . 160.38 |=====================================================
b . 201.74 |===================================================================
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 . 131.84 |===============================================================
b . 140.67 |===================================================================
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 . 70.91 |====================================================================
b . 71.43 |====================================================================
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 . 108.82 |===================================================================
b . 107.15 |==================================================================
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 . 85.71 |=================================================================
b . 90.12 |====================================================================
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 . 80.66 |====================================================================
b . 72.99 |==============================================================
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 . 282.97 |===================================================================
b . 283.08 |===================================================================
CloverLeaf 1.3
Input: clover_bm64_short
Seconds < Lower Is Better
a . 69.07 |====================================================================
b . 61.86 |=============================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 111.23 |===================================================================
b . 110.31 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 331.96 |==================================================================
b . 334.67 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 461.84 |================================================================
b . 485.89 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 79.98 |====================================================================
b . 76.05 |=================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 432.58 |==================================================================
b . 441.39 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 85.38 |====================================================================
b . 83.70 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 2528.20 |==================================================================
b . 2154.43 |========================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 14.59 |==========================================================
b . 17.12 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 324.39 |===================================================================
b . 320.18 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 344.53 |==================================================================
b . 348.63 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 11244.03 |=================================================================
b . 11084.65 |================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
a . 9.94 |===================================================================
b . 10.08 |====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
a . 1146.17 |==================================================================
b . 1114.41 |================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
a . 32.21 |==================================================================
b . 33.15 |====================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 5009.99 |==================================================================
b . 4915.16 |=================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 22.32 |===================================================================
b . 22.74 |====================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 16277.65 |=================================================================
b . 16076.48 |================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 6.77 |====================================================================
b . 6.85 |=====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 16074.67 |=================================================================
b . 15816.99 |================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 6.93 |====================================================================
b . 7.02 |=====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 1497.11 |==================================================================
b . 1487.31 |==================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 74.75 |====================================================================
b . 75.20 |====================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 275.10 |===================================================================
b . 261.98 |================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 134.38 |================================================================
b . 141.13 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 25636.44 |=================================================================
b . 25515.81 |=================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 4.24 |=====================================================================
b . 4.25 |=====================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 6106.89 |==================================================================
b . 6061.06 |==================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 18.30 |===================================================================
b . 18.45 |====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
a . 3570.40 |==================================================================
b . 3563.39 |==================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
a . 31.34 |====================================================================
b . 31.40 |====================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 76079.37 |================================================================
b . 77488.89 |=================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 0.58 |=====================================================================
b . 0.54 |================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 2378.91 |==================================================================
b . 2387.67 |==================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 47.04 |====================================================================
b . 46.87 |====================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 113019.68 |================================================================
b . 111459.35 |===============================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 0.34 |=====================================================================
b . 0.34 |=====================================================================
QMCPACK 3.17.1
Input: H4_ae
Total Execution Time - Seconds < Lower Is Better
a . 17.03 |==================================================================
b . 17.62 |====================================================================
QMCPACK 3.17.1
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
a . 135.63 |===================================================================
b . 135.73 |===================================================================
QMCPACK 3.17.1
Input: LiH_ae_MSD
Total Execution Time - Seconds < Lower Is Better
a . 118.27 |=================================================================
b . 121.00 |===================================================================
QMCPACK 3.17.1
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
a . 36.37 |====================================================================
b . 36.56 |====================================================================
QMCPACK 3.17.1
Input: O_ae_pyscf_UHF
Total Execution Time - Seconds < Lower Is Better
a . 313.48 |===================================================================
b . 300.34 |================================================================
QMCPACK 3.17.1
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 150.81 |================================================================
b . 157.11 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Magi
kH/s > Higher Is Better
a . 1943.59 |==================================================================
b . 1953.44 |==================================================================
Cpuminer-Opt 23.5
Algorithm: scrypt
kH/s > Higher Is Better
a . 864.21 |===================================================================
b . 826.56 |================================================================
Cpuminer-Opt 23.5
Algorithm: Deepcoin
kH/s > Higher Is Better
a . 24960 |====================================================================
b . 23870 |=================================================================
Cpuminer-Opt 23.5
Algorithm: Ringcoin
kH/s > Higher Is Better
a . 1521.29 |======
b . 17510.00 |=================================================================
Cpuminer-Opt 23.5
Algorithm: Blake-2 S
kH/s > Higher Is Better
a . 385610 |===================================================================
b . 381310 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Garlicoin
kH/s > Higher Is Better
a . 21770 |====================================================================
b . 21290 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Skeincoin
kH/s > Higher Is Better
a . 98770 |====================================================================
b . 98550 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
a . 34040 |====================================================================
b . 33810 |====================================================================
Cpuminer-Opt 23.5
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
a . 44560 |===================================================================
b . 45400 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
a . 205870 |===================================================================
b . 202620 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
a . 293830 |===================================================================
b . 289590 |==================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1672 |==================================================================
b . 1753 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1856 |=====================================================================
b . 1697 |===============================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1995 |===================================================================
b . 2043 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 32679 |====================================================================
b . 32018 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 59552 |====================================================================
b . 57371 |==================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 32908 |================================================================
b . 35051 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 66307 |====================================================================
b . 58605 |============================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 36981 |===================================================================
b . 37359 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 68616 |===================================================================
b . 69170 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 435 |=====================================================================
b . 444 |======================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 461 |====================================================================
b . 472 |======================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 539 |===================================================================
b . 562 |======================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 6558 |===================================================================
b . 6797 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 13423 |====================================================================
b . 12752 |=================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 7000 |=====================================================================
b . 6968 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 14526 |====================================================================
b . 14526 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 7954 |==================================================================
b . 8287 |=====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 16130 |=================================================================
b . 16884 |====================================================================
Timed Gem5 Compilation 23.0.1
Time To Compile
Seconds < Lower Is Better
a . 271.37 |===================================================================
b . 268.69 |==================================================================