5950X ASUS ROG CROSSHAIR VIII HERO WiFi BIOS AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3202 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.10 via the Phoronix Test Suite. 3003: Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.10, Kernel: 5.11.0-051100rc2daily20210108-generic (x86_64) 20210107, Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 21.0.0-devel (git-f01bca8 2021-01-08 groovy-oibaf-ppa) (LLVM 11.0.1), Vulkan: 1.2.164, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 3840x2160 3202: Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3202 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.10, Kernel: 5.11.0-051100rc2daily20210108-generic (x86_64) 20210107, Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 21.0.0-devel (git-f01bca8 2021-01-08 groovy-oibaf-ppa) (LLVM 11.0.1), Vulkan: 1.2.164, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 3840x2160 ET: Legacy 2.75 Renderer: Renderer2 - Resolution: 3840 x 2160 Frames Per Second > Higher Is Better 3003 . 224.3 |================================================================= Tesseract 2014-05-12 Resolution: 3840 x 2160 Frames Per Second > Higher Is Better 3003 . 356.17 |================================================================ 3202 . 353.57 |================================================================ Warsow 2.5 Beta Resolution: 3840 x 2160 Frames Per Second > Higher Is Better 3003 . 429.6 |================================================================= 3202 . 430.5 |================================================================= Xonotic 0.8.2 Resolution: 3840 x 2160 - Effects Quality: Ultimate Frames Per Second > Higher Is Better 3003 . 257.46 |========================================================= 3202 . 288.97 |================================================================ yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 3840 x 2160 Frames Per Second > Higher Is Better 3003 . 979.3 |================================================================= 3202 . 986.5 |================================================================= HPC Challenge 1.5.0 Test / Class: G-HPL GFLOPS > Higher Is Better 3003 . 53.17 |================================================================= 3202 . 53.17 |================================================================= HPC Challenge 1.5.0 Test / Class: G-Ffte GFLOPS > Higher Is Better 3003 . 6.23452 |============================================================ 3202 . 6.55050 |=============================================================== HPC Challenge 1.5.0 Test / Class: EP-DGEMM GFLOPS > Higher Is Better 3003 . 16.86 |================================================================= 3202 . 16.57 |================================================================ HPC Challenge 1.5.0 Test / Class: G-Ptrans GB/s > Higher Is Better 3003 . 2.45326 |============================================================== 3202 . 2.47841 |=============================================================== HPC Challenge 1.5.0 Test / Class: EP-STREAM Triad GB/s > Higher Is Better 3003 . 1.42468 |============================================================= 3202 . 1.47956 |=============================================================== HPC Challenge 1.5.0 Test / Class: G-Random Access GUP/s > Higher Is Better 3003 . 0.04998 |=============================================================== 3202 . 0.04973 |=============================================================== HPC Challenge 1.5.0 Test / Class: Random Ring Latency usecs < Lower Is Better 3003 . 0.48933 |=============================================================== 3202 . 0.49204 |=============================================================== HPC Challenge 1.5.0 Test / Class: Random Ring Bandwidth GB/s > Higher Is Better 3003 . 1.92562 |============================================================ 3202 . 2.02474 |=============================================================== HPC Challenge 1.5.0 Test / Class: Max Ping Pong Bandwidth MB/s > Higher Is Better 3003 . 34205.28 |============================================================== 3202 . 34166.84 |============================================================== CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 3003 . 136.80 |================================================================ 3202 . 134.74 |=============================================================== CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 3003 . 787.50 |=============================================================== 3202 . 801.64 |================================================================ NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better 3003 . 1.07519 |============================================================== 3202 . 1.08736 |=============================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 3003 . 12.90 |=============================================================== 3202 . 13.29 |================================================================= Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 3003 . 207261167 |============================================================ 3202 . 210165200 |============================================================= QMCPACK 3.10 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better 3003 . 22.31 |================================================================= 3202 . 22.37 |================================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 3003 . 82.70 |================================================================= 3202 . 82.93 |================================================================= OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 3003 . 104.48 |================================================================ 3202 . 97.87 |============================================================ OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 3003 . 1391.39 |=============================================================== 3202 . 1380.20 |============================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 3003 . 1199.39 |============================================================== 3202 . 1221.19 |=============================================================== RELION 3.1.1 Test: Basic - Device: CPU Seconds < Lower Is Better 3003 . 1892.61 |=============================================================== 3202 . 1875.48 |============================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better 3003 . 13.54 |================================================================= 3202 . 13.39 |================================================================ LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 3003 . 13.10 |================================================================= 3202 . 13.11 |================================================================= LULESH 2.0.3 z/s > Higher Is Better 3003 . 5041.86 |=============================================================== 3202 . 5066.74 |=============================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 3003 . 1.741 |================================================================= 3202 . 1.729 |================================================================= WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 3003 . 13.04 |================================================================= 3202 . 12.87 |================================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 3003 . 5.465 |================================================================= 3202 . 5.360 |================================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 3003 . 27.23 |================================================================ 3202 . 27.52 |================================================================= LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 3003 . 11911.06 |============================================================== 3202 . 11854.52 |============================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 3003 . 13410.2 |=============================================================== 3202 . 13319.6 |=============================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 3003 . 68.88 |================================================================= 3202 . 69.10 |================================================================= LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 3003 . 13085.1 |=============================================================== 3202 . 12946.4 |============================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 3003 . 68.57 |================================================================= 3202 . 66.95 |=============================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 3003 . 13093.1 |=============================================================== 3202 . 12949.0 |============================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better 3003 . 4723.9 |================================================================ 3202 . 4738.4 |================================================================ Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better 3003 . 43.4 |================================================================== 3202 . 43.3 |================================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 3003 . 52.99 |================================================================= 3202 . 53.09 |================================================================= Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 3003 . 11736507 |============================================================== 3202 . 11427830 |============================================================ oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 3003 . 3.98022 |=============================================================== 3202 . 3.97992 |=============================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 3003 . 9.48452 |=============================================================== 3202 . 9.51868 |=============================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 3003 . 0.816147 |============================================================= 3202 . 0.832251 |============================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 3003 . 0.477138 |============================================================= 3202 . 0.484368 |============================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 3003 . 17.23 |================================================================= 3202 . 17.29 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 3003 . 2.38690 |============================================================== 3202 . 2.43213 |=============================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 3003 . 3.50445 |=============================================================== 3202 . 3.53182 |=============================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 3003 . 19.13 |================================================================= 3202 . 19.26 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 3003 . 2.95002 |============================================================== 3202 . 2.99402 |=============================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 3003 . 1.53431 |============================================================ 3202 . 1.59818 |=============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 3003 . 2753.77 |=============================================================== 3202 . 2749.23 |=============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 3003 . 1809.76 |=============================================================== 3202 . 1823.19 |=============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 3003 . 2752.88 |=============================================================== 3202 . 2763.90 |=============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 3003 . 1783.66 |=============================================================== 3202 . 1789.23 |=============================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 3003 . 0.625862 |============================================================= 3202 . 0.636735 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 3003 . 2769.09 |=============================================================== 3202 . 2761.96 |=============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 3003 . 1818.11 |=============================================================== 3202 . 1795.37 |============================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 3003 . 1.45970 |============================================================== 3202 . 1.48786 |=============================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 3003 . 590.32 |================================================================ 3202 . 592.56 |================================================================ dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 3003 . 224.40 |=============================================================== 3202 . 228.62 |================================================================ dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 3003 . 534.95 |================================================================ 3202 . 535.52 |================================================================ dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 3003 . 96.35 |================================================================= 3202 . 96.66 |================================================================= rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 3003 . 1.497 |================================================================= 3202 . 1.505 |================================================================= rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 3003 . 1.958 |================================================================= 3202 . 1.965 |================================================================= rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 3003 . 3.362 |=============================================================== 3202 . 3.446 |================================================================= x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 3003 . 24.57 |================================================================= 3202 . 24.18 |================================================================ x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 3003 . 47.87 |================================================================= 3202 . 47.62 |================================================================= Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 3003 . 829763.13 |============================================================= 3202 . 815726.12 |============================================================ Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 3003 . 79.20 |================================================================ 3202 . 80.07 |================================================================= Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better 3003 . 45.79 |================================================================ 3202 . 46.41 |================================================================= Build2 0.13 Time To Compile Seconds < Lower Is Better 3003 . 80.00 |================================================================ 3202 . 81.88 |================================================================= Numpy Benchmark Score > Higher Is Better 3003 . 514.13 |================================================================ 3202 . 514.08 |================================================================ Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 3003 . 60.05 |================================================================ 3202 . 61.25 |================================================================= DeepSpeech 0.6 Acceleration: CPU Seconds < Lower Is Better 3003 . 70.48 |================================================================= 3202 . 70.53 |================================================================= Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 3003 . 9.805 |================================================================= 3202 . 9.851 |================================================================= Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 3003 . 6.126 |================================================================= 3202 . 6.150 |================================================================= eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 3003 . 21.56 |================================================================= 3202 . 21.69 |================================================================= RNNoise 2020-06-28 Seconds < Lower Is Better 3003 . 15.18 |================================================================= 3202 . 15.23 |================================================================= Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 3003 . 958.66 |================================================================ 3202 . 957.95 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 3003 . 1.275 |================================================================= 3202 . 1.258 |================================================================ ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 3003 . 4.11 |================================================================== 3202 . 4.10 |================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 3003 . 5.35 |================================================================= 3202 . 5.43 |================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 3003 . 12.47 |================================================================ 3202 . 12.67 |================================================================= ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 3003 . 99.00 |=============================================================== 3202 . 100.90 |================================================================ SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 3003 . 41.63 |=============================================================== 3202 . 42.86 |================================================================= Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 3003 . 5.232 |================================================================= 3202 . 5.153 |================================================================ Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 3003 . 24.04 |================================================================= 3202 . 23.63 |================================================================ Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 3003 . 3.402 |================================================================= 3202 . 3.325 |================================================================ Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 3003 . 2.501 |================================================================= 3202 . 2.481 |================================================================ Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 3003 . 31.01 |================================================================= 3202 . 30.33 |================================================================ NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 3003 . 12.04 |================================================================= 3202 . 11.99 |================================================================= NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 3003 . 4.38 |================================================================= 3202 . 4.46 |================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 3003 . 4.07 |================================================================= 3202 . 4.15 |================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 3003 . 4.38 |================================================================= 3202 . 4.42 |================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 3003 . 3.90 |================================================================= 3202 . 3.96 |================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 3003 . 5.29 |================================================================= 3202 . 5.37 |================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 3003 . 1.80 |================================================================= 3202 . 1.82 |================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 3003 . 12.99 |================================================================= 3202 . 13.00 |================================================================= NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 3003 . 60.60 |================================================================= 3202 . 59.90 |================================================================ NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 3003 . 14.51 |================================================================= 3202 . 14.57 |================================================================= NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 3003 . 11.04 |================================================================ 3202 . 11.26 |================================================================= NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 3003 . 25.05 |================================================================= 3202 . 25.00 |================================================================= NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 3003 . 21.14 |================================================================= 3202 . 21.29 |================================================================= NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 3003 . 14.64 |================================================================= 3202 . 14.60 |================================================================= NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 3003 . 17.67 |================================================================ 3202 . 17.95 |================================================================= TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 3003 . 218.29 |=============================================================== 3202 . 220.33 |================================================================ TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 3003 . 211.46 |================================================================ 3202 . 212.62 |================================================================ IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 3003 . 4.175 |================================================================= 3202 . 4.132 |================================================================ IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 3003 . 8.803 |================================================================= 3202 . 8.669 |================================================================ ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 3003 . 438 |=================================================================== 3202 . 428 |================================================================= ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 3003 . 705 |=================================================================== 3202 . 665 |=============================================================== ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 3003 . 99 |==================================================================== 3202 . 98 |=================================================================== ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 3003 . 16013 |================================================================= 3202 . 15863 |================================================================ ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 3003 . 7056 |================================================================ 3202 . 7324 |================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 3003 . 831939 |================================================================ 3202 . 834019 |================================================================ WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 3003 . 10.95 |================================================================ 3202 . 11.11 |================================================================= Kripke 1.2.4 Throughput FoM > Higher Is Better 3003 . 72385553 |============================================================== 3202 . 72580800 |============================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 3003 . 265419 |================================================================ 3202 . 262742 |=============================================================== Etcpak 0.7 Configuration: DXT1 Mpx/s > Higher Is Better 3003 . 1532.41 |============================================================== 3202 . 1562.89 |=============================================================== Etcpak 0.7 Configuration: ETC1 Mpx/s > Higher Is Better 3003 . 382.93 |=============================================================== 3202 . 387.14 |================================================================ Etcpak 0.7 Configuration: ETC2 Mpx/s > Higher Is Better 3003 . 236.51 |============================================================== 3202 . 245.00 |================================================================ Etcpak 0.7 Configuration: ETC1 + Dithering Mpx/s > Higher Is Better 3003 . 349.70 |=============================================================== 3202 . 355.44 |================================================================ IOR 3.3.0 Block Size: 2MB - Disk Target: Default Test Directory MB/s > Higher Is Better 3003 . 1540.02 |=============================================================== 3202 . 1388.54 |========================================================= IOR 3.3.0 Block Size: 4MB - Disk Target: Default Test Directory MB/s > Higher Is Better 3003 . 1580.25 |=============================================================== 3202 . 1482.95 |=========================================================== IOR 3.3.0 Block Size: 8MB - Disk Target: Default Test Directory MB/s > Higher Is Better 3003 . 1601.21 |=============================================================== 3202 . 1461.18 |========================================================= IOR 3.3.0 Block Size: 256MB - Disk Target: Default Test Directory MB/s > Higher Is Better 3003 . 1339.91 |=============================================================== 3202 . 1251.65 |=========================================================== IOR 3.3.0 Block Size: 512MB - Disk Target: Default Test Directory MB/s > Higher Is Better 3003 . 1748.21 |=============================================================== 3202 . 1682.82 |=============================================================