AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB 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 2311050-NE-NOVVY809122
novvy
AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.2.0-32-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.2.0-32-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
a . 110940.4 |=================================================================
b . 111297.1 |=================================================================
QuantLib 1.32
Configuration: Single-Threaded
MFLOPS > Higher Is Better
a . 2935.3 |==================================================================
b . 2962.1 |===================================================================
CloverLeaf 1.3
Input: clover_bm
Seconds < Lower Is Better
a . 26.36 |=================================================================
b . 27.46 |====================================================================
CloverLeaf 1.3
Input: clover_bm16
Seconds < Lower Is Better
a . 1297.63 |==================================================================
b . 1307.50 |==================================================================
CloverLeaf 1.3
Input: clover_bm64_short
Seconds < Lower Is Better
a . 150.81 |===================================================================
b . 151.11 |===================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1.51732 |==================================================================
b . 1.40003 |=============================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.30723 |==================================================================
b . 5.30471 |==================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.35399 |================================================================
b . 1.39743 |==================================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 0.972836 |=================================================================
b . 0.970336 |=================================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 6.75167 |==================================================================
b . 6.79235 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 5.59343 |==================================================================
b . 5.55480 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 2.74341 |==================================================================
b . 2.74744 |==================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 7.3594 |===================================================================
b . 7.3635 |===================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.54036 |==================================================================
b . 1.55034 |==================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.54437 |=================================================================
b . 1.56101 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 3894.96 |==================================================================
b . 3914.95 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a . 1090.13 |==================================================================
b . 1094.58 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 3938.81 |==================================================================
b . 3925.64 |==================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1097.99 |==================================================================
b . 1101.56 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3924.43 |==================================================================
b . 3935.10 |==================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
Seconds < Lower Is Better
a . 148.24 |=================================================================
b . 153.82 |===================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
Seconds < Lower Is Better
a . 3.321 |===================================================================
b . 3.395 |====================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 1101.21 |==================================================================
b . 1094.99 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 8.98 |=====================================================================
b . 8.98 |=====================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400
Seconds < Lower Is Better
a . 412.54 |=================================================================
b . 428.29 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 1769.17 |==================================================================
b . 1768.09 |==================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 63.37 |====================================================================
b . 62.81 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 252.40 |===================================================================
b . 254.29 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 63.23 |====================================================================
b . 63.29 |====================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 252.67 |===================================================================
b . 252.37 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 465.19 |===================================================================
b . 466.04 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 34.33 |====================================================================
b . 34.27 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 11.43 |====================================================================
b . 11.42 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1394.76 |==================================================================
b . 1397.89 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 2556.07 |==================================================================
b . 2559.91 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
a . 6.24 |=====================================================================
b . 6.23 |=====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
a . 81.55 |====================================================================
b . 81.71 |====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
a . 196.00 |===================================================================
b . 195.62 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 900.08 |===================================================================
b . 902.81 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 17.76 |====================================================================
b . 17.71 |====================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 851.68 |===================================================================
b . 847.73 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 18.76 |====================================================================
b . 18.85 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 2914.91 |==================================================================
b . 2907.71 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 5.48 |=====================================================================
b . 5.49 |=====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 406.48 |===================================================================
b . 400.92 |==================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 39.32 |===================================================================
b . 39.86 |====================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 94.09 |====================================================================
b . 93.13 |===================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 169.89 |==================================================================
b . 171.57 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 1134.72 |==================================================================
b . 1133.46 |==================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 28.18 |====================================================================
b . 28.21 |====================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 1139.38 |==================================================================
b . 1147.76 |==================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 14.02 |====================================================================
b . 13.92 |====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
a . 333.33 |===================================================================
b . 330.63 |==================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
a . 95.92 |===================================================================
b . 96.70 |====================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 27213.10 |=================================================================
b . 27049.12 |=================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 1.16 |====================================================================
b . 1.17 |=====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 358.24 |==================================================================
b . 364.05 |===================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 89.24 |====================================================================
b . 87.83 |===================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 39083.44 |=================================================================
b . 38988.78 |=================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 0.81 |=====================================================================
b . 0.81 |=====================================================================
QMCPACK 3.17.1
Input: H4_ae
Total Execution Time - Seconds < Lower Is Better
a . 14.70 |====================================================================
b . 14.49 |===================================================================
QMCPACK 3.17.1
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
a . 132.36 |===================================================================
b . 132.12 |===================================================================
QMCPACK 3.17.1
Input: LiH_ae_MSD
Total Execution Time - Seconds < Lower Is Better
a . 113.41 |===================================================================
b . 110.56 |=================================================================
QMCPACK 3.17.1
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
a . 27.06 |====================================================================
b . 26.90 |====================================================================
QMCPACK 3.17.1
Input: O_ae_pyscf_UHF
Total Execution Time - Seconds < Lower Is Better
a . 195.27 |===================================================================
b . 195.12 |===================================================================
QMCPACK 3.17.1
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 172.30 |===================================================================
b . 172.23 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Magi
kH/s > Higher Is Better
a . 973.65 |===================================================================
b . 969.25 |===================================================================
Cpuminer-Opt 23.5
Algorithm: scrypt
kH/s > Higher Is Better
a . 335.46 |===================================================================
b . 335.25 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Deepcoin
kH/s > Higher Is Better
a . 11310 |====================================================================
b . 11310 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Ringcoin
kH/s > Higher Is Better
a . 4585.89 |==================================================================
b . 4575.65 |==================================================================
Cpuminer-Opt 23.5
Algorithm: Blake-2 S
kH/s > Higher Is Better
a . 206350 |===================================================================
b . 206270 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Garlicoin
kH/s > Higher Is Better
a . 1440.1 |===================================================================
b . 1431.7 |===================================================================
Cpuminer-Opt 23.5
Algorithm: Skeincoin
kH/s > Higher Is Better
a . 49520 |====================================================================
b . 49200 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Myriad-Groestl
kH/s > Higher Is Better
a . 16380 |====================================================================
b . 16390 |====================================================================
Cpuminer-Opt 23.5
Algorithm: LBC, LBRY Credits
kH/s > Higher Is Better
a . 21810 |====================================================================
b . 21810 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Quad SHA-256, Pyrite
kH/s > Higher Is Better
a . 75090 |====================================================================
b . 75110 |====================================================================
Cpuminer-Opt 23.5
Algorithm: Triple SHA-256, Onecoin
kH/s > Higher Is Better
a . 106820 |===================================================================
b . 106780 |===================================================================
Embree 4.3
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 38.09 |====================================================================
b . 38.04 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 33.83 |====================================================================
b . 33.77 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 38.06 |====================================================================
b . 37.51 |===================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 33.62 |====================================================================
b . 33.18 |===================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 36.70 |====================================================================
b . 36.40 |===================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 31.65 |====================================================================
b . 31.28 |===================================================================
Intel Open Image Denoise 2.1
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 1.14 |=====================================================================
b . 1.14 |=====================================================================
Intel Open Image Denoise 2.1
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 1.14 |=====================================================================
b . 1.14 |=====================================================================
Intel Open Image Denoise 2.1
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.57 |=====================================================================
b . 0.57 |=====================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU ISPC
Items / Sec > Higher Is Better
a . 554 |======================================================================
b . 552 |======================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU Scalar
Items / Sec > Higher Is Better
a . 311 |======================================================================
b . 311 |======================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 4191 |=====================================================================
b . 4196 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 4289 |=====================================================================
b . 4299 |=====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 4963 |=====================================================================
b . 4981 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 73331 |====================================================================
b . 73227 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 140574 |===================================================================
b . 140056 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 75018 |====================================================================
b . 74992 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 143476 |===================================================================
b . 143606 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 85890 |====================================================================
b . 86000 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 165158 |===================================================================
b . 165029 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1057 |=====================================================================
b . 1058 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1081 |=====================================================================
b . 1076 |=====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 1251 |=====================================================================
b . 1252 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 16836 |====================================================================
b . 16814 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 40015 |====================================================================
b . 40024 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 17147 |====================================================================
b . 17193 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 40607 |====================================================================
b . 40704 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 20005 |====================================================================
b . 19971 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 46279 |====================================================================
b . 46238 |====================================================================
Timed Gem5 Compilation 23.0.1
Time To Compile
Seconds < Lower Is Better
a . 301.84 |===================================================================
b . 291.05 |=================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 14524.6 |==================================================================
b . 14553.4 |==================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 14681.1 |=================================================================
b . 15007.0 |==================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 13648.4 |=================================================================
b . 13927.4 |==================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 11647.2 |==================================================================
b . 11499.4 |=================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 11333.4 |==================================================================
b . 10921.7 |================================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 9128.9 |===================================================================
b . 8600.5 |===============================================================
C-Blosc 2.11
Test: blosclz shuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 6794.6 |===================================================================
b . 6173.9 |=============================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 8MB
MB/s > Higher Is Better
a . 12902.5 |==================================================================
b . 12733.1 |=================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 11117.3 |==================================================================
b . 10930.2 |=================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 10114.3 |==================================================================
b . 9830.1 |================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 8272.0 |===================================================================
b . 7935.6 |================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 16MB
MB/s > Higher Is Better
a . 13502.4 |==================================================================
b . 13204.9 |=================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 32MB
MB/s > Higher Is Better
a . 12653.7 |==================================================================
b . 12401.9 |=================================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 64MB
MB/s > Higher Is Better
a . 10766.7 |==================================================================
b . 10607.5 |=================================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 6839.2 |===================================================================
b . 6452.2 |===============================================================
C-Blosc 2.11
Test: blosclz noshuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 5388.7 |===================================================================
b . 4975.7 |==============================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 128MB
MB/s > Higher Is Better
a . 8726.0 |===================================================================
b . 8241.7 |===============================================================
C-Blosc 2.11
Test: blosclz bitshuffle - Buffer Size: 256MB
MB/s > Higher Is Better
a . 6511.1 |===================================================================
b . 5971.1 |=============================================================