Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 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 2311069-PTS-AUG6407629
aug
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 6.2.0-33-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768
b:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 6.2.0-33-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 6.77 |=====================================================================
b . 6.74 |=====================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 26.48 |====================================================================
b . 26.21 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 26.51 |====================================================================
b . 26.25 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 140.54 |==================================================================
b . 142.30 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 26.96 |====================================================================
b . 26.97 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 759.10 |==================================================================
b . 765.16 |===================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
a . 58.37 |====================================================================
b . 58.28 |====================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 756.48 |===================================================================
b . 758.98 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 766.69 |===================================================================
b . 763.83 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 3190.1 |===================================================================
b . 3192.8 |===================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 232.23 |===================================================================
b . 229.51 |==================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 78.93 |====================================================================
b . 78.36 |====================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 2725.10 |==================================================================
b . 2734.29 |==================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 322.01 |===================================================================
b . 322.81 |===================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
a . 171.99 |==================================================================
b . 174.60 |===================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 18225.98 |=================================================================
b . 18196.60 |=================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 208.24 |===================================================================
b . 150.46 |================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 35356.18 |=================================================================
b . 35584.44 |=================================================================
Embree 4.3
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 20.27 |====================================================================
b . 20.16 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 17.72 |====================================================================
b . 17.65 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 23.00 |====================================================================
b . 23.14 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 20.72 |====================================================================
b . 20.69 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 22.85 |====================================================================
b . 22.84 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 19.61 |====================================================================
b . 19.63 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 26.27 |====================================================================
b . 25.64 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 16.73 |===================================================================
b . 16.86 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 19.89 |===================================================================
b . 20.06 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 55.07 |====================================================================
b . 54.92 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 31.02 |===================================================================
b . 31.60 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
a . 35.70 |===================================================================
b . 36.11 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 9.01432 |=================================================================
b . 9.14240 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 8.82564 |=================================================================
b . 8.93210 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 10.31 |====================================================================
b . 10.28 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 20.95 |==================================================================
b . 21.57 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 16.32 |====================================================================
b . 15.81 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
a . 18.89 |====================================================================
b . 18.73 |===================================================================
Intel Open Image Denoise 2.1
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.88 |=====================================================================
b . 0.88 |=====================================================================
Intel Open Image Denoise 2.1
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.88 |=====================================================================
b . 0.88 |=====================================================================
Intel Open Image Denoise 2.1
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.42 |=====================================================================
b . 0.41 |===================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU ISPC
Items / Sec > Higher Is Better
a . 411 |======================================================================
b . 411 |======================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU Scalar
Items / Sec > Higher Is Better
a . 157 |======================================================================
b . 157 |======================================================================
Cpuminer-Opt 23.5
Algorithm: Magi
kH/s > Higher Is Better
a . 422.16 |===================================================================
b . 422.06 |===================================================================
Cpuminer-Opt 23.5
Algorithm: scrypt
kH/s > Higher Is Better
a . 182.09 |===================================================================
b . 182.84 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Deepcoin
kH/s > Higher Is Better
a . 5431.94 |==================================================================
b . 5428.44 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Ringcoin
kH/s > Higher Is Better
a . 2421.85 |==================================================================
b . 2421.09 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Blake-2 S
kH/s > Higher Is Better
a . 103360 |===================================================================
b . 103360 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Garlicoin
kH/s > Higher Is Better
a . 1603.79 |==================================================================
b . 1596.74 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Skeincoin
kH/s > Higher Is Better
a . 23470 |====================================================================
b . 23190 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
a . 7629.51 |==================================================================
b . 7651.61 |==================================================================
Cpuminer-Opt 23.5
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
a . 9720.14 |==================================================================
b . 9722.17 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
a . 37850 |====================================================================
b . 37850 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
a . 53370 |====================================================================
b . 53490 |====================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 7438.3 |===================================================================
b . 6824.9 |=============================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 7457.4 |===================================================================
b . 7424.4 |===================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 7361.7 |==================================================================
b . 7424.0 |===================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 6560.7 |===================================================================
b . 6563.5 |===================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 10371.6 |==================================================================
b . 10336.6 |==================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 5468.8 |===================================================================
b . 5457.9 |===================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 4399.7 |===================================================================
b . 4429.6 |===================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 8267.5 |===================================================================
b . 8258.4 |===================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 9855.4 |===================================================================
b . 9737.2 |==================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 7828.9 |===================================================================
b . 7847.7 |===================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 6761.1 |===================================================================
b . 6779.6 |===================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 8107.4 |==================================================================
b . 8211.3 |===================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 7590.0 |==================================================================
b . 7651.2 |===================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 6752.2 |===================================================================
b . 6790.6 |===================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 5467.9 |===================================================================
b . 5490.8 |===================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 4239.4 |===================================================================
b . 4248.9 |===================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 5578.8 |==================================================================
b . 5636.2 |===================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 4497.3 |===================================================================
b . 4516.0 |===================================================================
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
a . 44641.0 |==================================================================
b . 44888.6 |==================================================================
QuantLib 1.32
Configuration: Single-Threaded
MFLOPS > Higher Is Better
a . 2682.0 |===================================================================
b . 2684.2 |===================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2.49348 |==================================================================
b . 2.49628 |==================================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.38829 |==================================================================
b . 5.25114 |================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.618773 |=================================================================
b . 0.578244 |=============================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.20555 |================================================================
b . 1.24078 |==================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 5.49542 |=================================================================
b . 5.54192 |==================================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 2.91534 |==================================================================
b . 2.85512 |=================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 9.87746 |==================================================================
b . 9.88829 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 6.90110 |==================================================================
b . 6.86291 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2.70456 |==================================================================
b . 2.69575 |==================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 9.03440 |==================================================================
b . 9.05479 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.525652 |=================================================================
b . 0.525029 |=================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.633996 |================================================================
b . 0.643669 |=================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1722.09 |==================================================================
b . 1677.89 |================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 941.96 |===================================================================
b . 898.31 |================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1615.72 |==================================================================
b . 1625.41 |==================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 7.85872 |==================================================================
b . 7.86557 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 11.06 |====================================================================
b . 11.02 |====================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 11.34 |====================================================================
b . 11.14 |===================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 906.09 |===================================================================
b . 908.25 |===================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 1650.24 |==================================================================
b . 1632.03 |=================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 897.02 |=================================================================
b . 919.84 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 6468 |=====================================================================
b . 6463 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 6625 |=====================================================================
b . 6606 |=====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 7813 |=====================================================================
b . 7854 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 110942 |===================================================================
b . 110960 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 214480 |===================================================================
b . 214262 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 113740 |===================================================================
b . 114336 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 218906 |===================================================================
b . 218882 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 132846 |===================================================================
b . 132304 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 257612 |===================================================================
b . 257164 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1636 |=====================================================================
b . 1630 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1667 |=====================================================================
b . 1667 |=====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1968 |=====================================================================
b . 1972 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 33567 |====================================================================
b . 33453 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 59518 |====================================================================
b . 59525 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 34183 |====================================================================
b . 34063 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 60718 |====================================================================
b . 60600 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 38826 |====================================================================
b . 38857 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 70355 |====================================================================
b . 70459 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 1758.87 |==================================================================
b . 1768.54 |==================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 453.11 |==================================================================
b . 457.70 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 452.46 |==================================================================
b . 457.00 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 85.30 |====================================================================
b . 84.25 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 444.06 |===================================================================
b . 444.29 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
a . 15.78 |====================================================================
b . 15.65 |===================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
a . 205.41 |===================================================================
b . 205.72 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 15.82 |====================================================================
b . 15.77 |====================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 23.43 |====================================================================
b . 23.52 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 5.59 |=====================================================================
b . 5.59 |=====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 51.60 |===================================================================
b . 52.23 |====================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 151.95 |===================================================================
b . 152.93 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 6.58 |=====================================================================
b . 6.57 |=====================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 37.23 |====================================================================
b . 37.14 |====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
a . 104.57 |===================================================================
b . 103.02 |==================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 0.97 |=====================================================================
b . 0.97 |=====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 86.37 |================================================
b . 119.54 |===================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 0.48 |=====================================================================
b . 0.48 |=====================================================================
CloverLeaf 1.3
Input: clover_bm
Seconds < Lower Is Better
a . 88.76 |====================================================================
b . 88.75 |====================================================================
CloverLeaf 1.3
Input: clover_bm64_short
Seconds < Lower Is Better
a . 212.72 |===================================================================
b . 211.67 |===================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
Seconds < Lower Is Better
a . 8.422 |====================================================================
b . 8.418 |====================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
Seconds < Lower Is Better
a . 207.53 |===================================================================
b . 207.71 |===================================================================
Timed Gem5 Compilation 23.0.1
Time To Compile
Seconds < Lower Is Better
a . 413.86 |===================================================================
b . 413.59 |===================================================================
DuckDB 0.9.1
Benchmark: IMDB
Seconds < Lower Is Better
DuckDB 0.9.1
Benchmark: TPC-H Parquet
Seconds < Lower Is Better
QMCPACK 3.17.1
Input: H4_ae
Total Execution Time - Seconds < Lower Is Better
a . 20.61 |====================================================================
b . 19.31 |================================================================
QMCPACK 3.17.1
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
a . 219.65 |==================================================================
b . 222.42 |===================================================================
QMCPACK 3.17.1
Input: LiH_ae_MSD
Total Execution Time - Seconds < Lower Is Better
a . 106.57 |===================================================================
b . 106.32 |===================================================================
QMCPACK 3.17.1
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
a . 42.51 |====================================================================
b . 42.48 |====================================================================
QMCPACK 3.17.1
Input: O_ae_pyscf_UHF
Total Execution Time - Seconds < Lower Is Better
a . 238.00 |==================================================================
b . 241.13 |===================================================================
QMCPACK 3.17.1
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 183.42 |===================================================================
b . 183.17 |===================================================================