deb11 Intel Core i7-5960X testing with a Gigabyte X99-UD4-CF (F24c BIOS) and NVIDIA GeForce 6600 GT on Debian 11 via the Phoronix Test Suite. a: Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V OS: Debian 11, Kernel: 5.10.0-10-amd64 (x86_64), Vulkan: 1.0.2, Compiler: GCC 10.2.1 20210110, File-System: ext4 b: Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V OS: Debian 11, Kernel: 5.10.0-10-amd64 (x86_64), Vulkan: 1.0.2, Compiler: GCC 10.2.1 20210110, File-System: ext4 bb: Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V OS: Debian 11, Kernel: 5.10.0-10-amd64 (x86_64), Vulkan: 1.0.2, Compiler: GCC 10.2.1 20210110, File-System: ext4 C-Blosc 2.3 Test: blosclz shuffle MB/s > Higher Is Better a .. 8018.3 |================================================================== b .. 7775.7 |================================================================ bb . 7880.6 |================================================================= C-Blosc 2.3 Test: blosclz bitshuffle MB/s > Higher Is Better a .. 4698.2 |================================================================== b .. 4581.3 |================================================================ bb . 4652.8 |================================================================= miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 GFInst/s > Higher Is Better a .. 180.74 |================================================================== b .. 180.73 |================================================================== bb . 180.34 |================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Billion Interactions/s > Higher Is Better a .. 7.229 |=================================================================== b .. 7.229 |=================================================================== bb . 7.214 |=================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 GFInst/s > Higher Is Better a .. 180.01 |================================================================== b .. 175.47 |================================================================ bb . 170.85 |=============================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Billion Interactions/s > Higher Is Better a .. 7.201 |=================================================================== b .. 7.019 |================================================================= bb . 6.834 |================================================================ Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a .. 3826.5 |================================================================== b .. 3835.2 |================================================================== bb . 3780.6 |================================================================= Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a .. 5230.4 |================================================================== b .. 5124.9 |================================================================= bb . 5115.5 |================================================================= JPEG XL libjxl 0.7 Input: PNG - Quality: 80 MP/s > Higher Is Better a .. 6.98 |==================================================================== b .. 6.99 |==================================================================== bb . 6.98 |==================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 90 MP/s > Higher Is Better a .. 6.84 |==================================================================== b .. 6.84 |==================================================================== bb . 6.85 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 MP/s > Higher Is Better a .. 6.80 |==================================================================== b .. 6.80 |==================================================================== bb . 6.78 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 MP/s > Higher Is Better a .. 6.65 |==================================================================== b .. 6.64 |==================================================================== bb . 6.64 |==================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 100 MP/s > Higher Is Better a .. 0.54 |==================================================================== b .. 0.54 |==================================================================== bb . 0.54 |==================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 MP/s > Higher Is Better a .. 0.52 |==================================================================== b .. 0.52 |==================================================================== bb . 0.51 |=================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: 1 MP/s > Higher Is Better a .. 33.23 |=================================================================== b .. 33.27 |=================================================================== bb . 33.23 |=================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: All MP/s > Higher Is Better a .. 170.97 |================================================================== b .. 167.20 |================================================================= bb . 169.12 |================================================================= WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better a .. 11.72 |=============================================================== b .. 12.52 |=================================================================== bb . 12.38 |================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better a .. 8.17 |==================================================================== b .. 8.15 |==================================================================== bb . 8.19 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better a .. 1.19 |==================================================================== b .. 1.19 |==================================================================== bb . 1.19 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better a .. 2.72 |==================================================================== b .. 2.69 |=================================================================== bb . 2.72 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better a .. 0.48 |==================================================================== b .. 0.47 |=================================================================== bb . 0.47 |=================================================================== srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better a .. 72800000 |=============================================================== b .. 73900000 |================================================================ bb . 74300000 |================================================================ srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better a .. 263.3 |=================================================================== b .. 263.3 |=================================================================== bb . 263.2 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better a .. 86.7 |==================================================================== b .. 87.1 |==================================================================== bb . 87.1 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a .. 267.0 |=================================================================== b .. 267.5 |=================================================================== bb . 267.0 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better a .. 105.0 |=================================================================== b .. 104.0 |================================================================== bb . 104.9 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better a .. 292.9 |=================================================================== b .. 292.8 |=================================================================== bb . 292.1 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better a .. 96.4 |==================================================================== b .. 95.7 |==================================================================== bb . 95.8 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better a .. 294.4 |=================================================================== b .. 295.0 |=================================================================== bb . 293.4 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better a .. 111.4 |=================================================================== b .. 111.3 |=================================================================== bb . 111.2 |=================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a .. 80.7 |==================================================================== b .. 80.5 |==================================================================== bb . 80.5 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better a .. 40.8 |==================================================================== b .. 40.8 |==================================================================== bb . 40.7 |==================================================================== GraphicsMagick 1.3.38 Operation: Swirl Iterations Per Minute > Higher Is Better a .. 241 |===================================================================== b .. 240 |===================================================================== bb . 241 |===================================================================== GraphicsMagick 1.3.38 Operation: Rotate Iterations Per Minute > Higher Is Better a .. 724 |===================================================================== b .. 710 |==================================================================== bb . 713 |==================================================================== GraphicsMagick 1.3.38 Operation: Sharpen Iterations Per Minute > Higher Is Better a .. 91 |====================================================================== b .. 91 |====================================================================== bb . 91 |====================================================================== GraphicsMagick 1.3.38 Operation: Enhanced Iterations Per Minute > Higher Is Better a .. 102 |===================================================================== b .. 102 |===================================================================== bb . 102 |===================================================================== GraphicsMagick 1.3.38 Operation: Resizing Iterations Per Minute > Higher Is Better a .. 730 |===================================================================== b .. 731 |===================================================================== bb . 731 |===================================================================== GraphicsMagick 1.3.38 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better a .. 207 |===================================================================== b .. 205 |==================================================================== bb . 206 |===================================================================== GraphicsMagick 1.3.38 Operation: HWB Color Space Iterations Per Minute > Higher Is Better a .. 806 |===================================================================== b .. 790 |==================================================================== bb . 790 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better a .. 5.06 |==================================================================== b .. 5.03 |==================================================================== bb . 4.99 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better a .. 5.18 |==================================================================== b .. 5.12 |=================================================================== bb . 5.08 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better a .. 21.99 |=================================================================== b .. 21.69 |================================================================== bb . 21.79 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better a .. 23.23 |=================================================================== b .. 23.07 |=================================================================== bb . 22.67 |================================================================= Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better a .. 13.42 |=================================================================== b .. 13.28 |================================================================== bb . 13.25 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better a .. 16.21 |=================================================================== b .. 15.90 |================================================================== bb . 16.00 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a .. 21.74 |================================================================== b .. 21.69 |================================================================== bb . 21.92 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better a .. 52.76 |=================================================================== b .. 46.51 |=========================================================== bb . 47.51 |============================================================ Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better a .. 71.13 |=================================================================== b .. 70.85 |=================================================================== bb . 71.05 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a .. 95.62 |=================================================================== b .. 95.09 |=================================================================== bb . 89.30 |=============================================================== SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a .. 1.531 |=================================================================== b .. 1.496 |================================================================= bb . 1.522 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a .. 19.43 |=================================================================== b .. 18.75 |================================================================= bb . 19.34 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a .. 63.99 |=================================================================== b .. 63.97 |=================================================================== bb . 63.61 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a .. 66.80 |================================================================== b .. 66.44 |================================================================== bb . 67.61 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a .. 4.548 |=================================================================== b .. 4.508 |================================================================== bb . 4.464 |================================================================== SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a .. 51.11 |=================================================================== b .. 49.10 |================================================================ bb . 50.22 |================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a .. 228.02 |================================================================== b .. 219.94 |================================================================ bb . 226.55 |================================================================== SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a .. 204.56 |================================================================== b .. 196.17 |=============================================================== bb . 195.85 |=============================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better a .. 53860 |=================================================================== b .. 53679 |=================================================================== bb . 53746 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better a .. 41828 |================================================================== b .. 42070 |=================================================================== bb . 42257 |=================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Render Ratio > Higher Is Better a .. 1.843805 |============================================================== b .. 1.809507 |============================================================= bb . 1.901193 |================================================================ Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 Render Ratio > Higher Is Better a .. 1.137144 |================================================================ b .. 1.042641 |=========================================================== bb . 1.123877 |=============================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 Render Ratio > Higher Is Better a .. 0.646005 |============================================================= b .. 0.584462 |======================================================= bb . 0.681021 |================================================================ Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 Render Ratio > Higher Is Better a .. 2.074765 |================================================================ b .. 2.077965 |================================================================ bb . 2.044594 |=============================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 512 Render Ratio > Higher Is Better a .. 1.777579 |================================================================ b .. 1.749391 |=============================================================== bb . 1.733758 |============================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 Render Ratio > Higher Is Better a .. 1.435504 |============================================================== b .. 1.471317 |================================================================ bb . 1.469636 |================================================================ Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 Render Ratio > Higher Is Better a .. 0.980871 |================================================================ b .. 0.968108 |=============================================================== bb . 0.976024 |================================================================ Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 Render Ratio > Higher Is Better a .. 1.970974 |================================================================ b .. 1.972276 |================================================================ bb . 1.977816 |================================================================ libavif avifenc 0.11 Encoder Speed: 0 Seconds < Lower Is Better a .. 268.38 |================================================================= b .. 273.54 |================================================================== bb . 269.82 |================================================================= libavif avifenc 0.11 Encoder Speed: 2 Seconds < Lower Is Better a .. 124.60 |================================================================== b .. 125.27 |================================================================== bb . 124.40 |================================================================== libavif avifenc 0.11 Encoder Speed: 6 Seconds < Lower Is Better a .. 12.16 |=================================================================== b .. 11.83 |================================================================= bb . 12.15 |=================================================================== libavif avifenc 0.11 Encoder Speed: 6, Lossless Seconds < Lower Is Better a .. 18.47 |=================================================================== b .. 18.44 |=================================================================== bb . 18.55 |=================================================================== libavif avifenc 0.11 Encoder Speed: 10, Lossless Seconds < Lower Is Better a .. 9.570 |=================================================================== b .. 9.460 |================================================================== bb . 9.551 |=================================================================== Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better a .. 143.75 |================================================================= b .. 145.35 |================================================================== bb . 143.59 |================================================================= Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better a .. 1970.86 |================================================================ b .. 2002.60 |================================================================= bb . 1966.46 |================================================================ Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better a .. 911.46 |================================================================= b .. 928.07 |================================================================== bb . 910.06 |================================================================= Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better a .. 91.46 |=================================================================== b .. 91.57 |=================================================================== bb . 91.48 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better a .. 26.45 |================================================================== b .. 26.66 |=================================================================== bb . 26.72 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better a .. 452.64 |================================================================== b .. 451.64 |================================================================== bb . 453.05 |================================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a .. 4.13272 |================================================================= b .. 4.13538 |================================================================= bb . 4.12739 |================================================================= oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a .. 6.59736 |================================================================= b .. 6.63813 |================================================================= bb . 6.62396 |================================================================= oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a .. 2.74529 |================================================================ b .. 2.75889 |================================================================= bb . 2.77506 |================================================================= oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a .. 2.39434 |================================================================= b .. 2.37662 |================================================================= bb . 2.31056 |=============================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a .. 10.67 |=================================================================== b .. 10.62 |=================================================================== bb . 10.58 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a .. 7.30565 |================================================================= b .. 7.33729 |================================================================= bb . 7.30174 |================================================================= oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a .. 8.92994 |================================================================= b .. 8.93198 |================================================================= bb . 8.94229 |================================================================= oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a .. 9.69453 |================================================================= b .. 9.69523 |================================================================= bb . 9.63287 |================================================================= oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a .. 3.98479 |================================================================= b .. 3.98507 |================================================================= bb . 3.98696 |================================================================= oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a .. 5.65234 |================================================================ b .. 5.69397 |================================================================= bb . 5.71208 |================================================================= oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a .. 4566.83 |================================================================ b .. 4654.78 |================================================================= bb . 4583.12 |================================================================ oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a .. 2507.80 |================================================================= b .. 2523.61 |================================================================= bb . 2477.90 |================================================================ oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a .. 4651.33 |================================================================ b .. 4710.29 |================================================================= bb . 4656.75 |================================================================ oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a .. 2497.25 |================================================================ b .. 2525.11 |================================================================= bb . 2487.70 |================================================================ oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a .. 2.83083 |================================================================= b .. 2.73634 |=============================================================== bb . 2.73457 |=============================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a .. 4650.17 |================================================================ b .. 4742.69 |================================================================= bb . 4689.82 |================================================================ oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a .. 2536.95 |================================================================= b .. 2547.18 |================================================================= bb . 2511.27 |================================================================ oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a .. 1.75712 |================================================================ b .. 1.78052 |================================================================= bb . 1.75315 |================================================================ oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better a .. 145.88 |================================================================= b .. 147.20 |================================================================== bb . 147.86 |================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better a .. 29.30 |=================================================================== b .. 29.37 |=================================================================== bb . 29.28 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Magi kH/s > Higher Is Better a .. 183.50 |================================================================= b .. 185.38 |================================================================== bb . 185.90 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: x25x kH/s > Higher Is Better a .. 251.07 |=============================================================== b .. 253.23 |================================================================ bb . 262.69 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: scrypt kH/s > Higher Is Better a .. 120.02 |================================================================== b .. 119.06 |================================================================= bb . 119.94 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Deepcoin kH/s > Higher Is Better a .. 6388.09 |================================================================= b .. 6269.86 |=============================================================== bb . 6421.86 |================================================================= Cpuminer-Opt 3.20.3 Algorithm: Ringcoin kH/s > Higher Is Better a .. 1346.56 |================================================================ b .. 1335.62 |================================================================ bb . 1360.18 |================================================================= Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S kH/s > Higher Is Better a .. 265440 |================================================================== b .. 261140 |================================================================= bb . 265300 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Garlicoin kH/s > Higher Is Better a .. 1830.33 |================================================================ b .. 1837.87 |================================================================ bb . 1871.11 |================================================================= Cpuminer-Opt 3.20.3 Algorithm: Skeincoin kH/s > Higher Is Better a .. 26900 |=================================================================== b .. 26530 |================================================================== bb . 26850 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl kH/s > Higher Is Better a .. 9082.04 |================================================================= b .. 8943.40 |================================================================ bb . 8991.15 |================================================================ Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a .. 17740 |=================================================================== b .. 17340 |================================================================= bb . 17530 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a .. 32670 |=================================================================== b .. 32140 |================================================================== bb . 32550 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a .. 45820 |=================================================================== b .. 45130 |================================================================== bb . 45700 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a .. 4.6723 |================================================================== b .. 4.6343 |================================================================= bb . 4.6908 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a .. 847.20 |================================================================= b .. 854.80 |================================================================== bb . 849.14 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a .. 4.5635 |================================================================== b .. 4.5349 |================================================================== bb . 4.5492 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a .. 219.12 |================================================================== b .. 220.50 |================================================================== bb . 219.81 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a .. 18.55 |=================================================================== b .. 18.45 |=================================================================== bb . 18.44 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a .. 215.56 |================================================================== b .. 216.64 |================================================================== bb . 216.12 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a .. 16.68 |=================================================================== b .. 16.64 |=================================================================== bb . 16.61 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a .. 59.93 |=================================================================== b .. 60.10 |=================================================================== bb . 60.21 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a .. 28.78 |=================================================================== b .. 28.53 |================================================================== bb . 28.72 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a .. 138.68 |================================================================= b .. 139.88 |================================================================== bb . 139.09 |================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a .. 26.16 |=================================================================== b .. 25.94 |================================================================== bb . 26.06 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a .. 38.21 |================================================================== b .. 38.53 |=================================================================== bb . 38.35 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a .. 60.18 |=================================================================== b .. 59.97 |=================================================================== bb . 60.15 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a .. 66.41 |=================================================================== b .. 66.68 |=================================================================== bb . 66.43 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a .. 53.65 |=================================================================== b .. 53.32 |=================================================================== bb . 53.38 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a .. 18.63 |=================================================================== b .. 18.74 |=================================================================== bb . 18.72 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a .. 42.62 |=================================================================== b .. 42.45 |=================================================================== bb . 42.36 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a .. 93.76 |=================================================================== b .. 94.12 |=================================================================== bb . 94.40 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a .. 36.49 |=================================================================== b .. 36.35 |=================================================================== bb . 36.40 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a .. 27.40 |=================================================================== b .. 27.50 |=================================================================== bb . 27.47 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a .. 20.78 |=================================================================== b .. 20.74 |=================================================================== bb . 20.78 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a .. 192.03 |================================================================== b .. 192.28 |================================================================== bb . 192.26 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a .. 18.14 |=================================================================== b .. 18.09 |=================================================================== bb . 18.06 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a .. 55.12 |=================================================================== b .. 55.28 |=================================================================== bb . 55.36 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a .. 4.7205 |================================================================== b .. 4.6899 |================================================================== bb . 4.6494 |================================================================= Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a .. 843.14 |================================================================= b .. 846.03 |================================================================= bb . 856.54 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a .. 4.6048 |================================================================== b .. 4.5567 |================================================================= bb . 4.5358 |================================================================= Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a .. 217.16 |================================================================= b .. 219.45 |================================================================== bb . 220.46 |================================================================== Stress-NG 0.14.06 Test: MMAP Bogo Ops/s > Higher Is Better a .. 120.26 |================================================================== b .. 118.86 |================================================================= bb . 118.94 |================================================================= Stress-NG 0.14.06 Test: NUMA Bogo Ops/s > Higher Is Better a .. 173.98 |================================================================== b .. 173.75 |================================================================== bb . 174.91 |================================================================== Stress-NG 0.14.06 Test: Futex Bogo Ops/s > Higher Is Better a .. 1545057.69 |====================================================== b .. 1769667.62 |============================================================== bb . 1587372.21 |======================================================== Stress-NG 0.14.06 Test: MEMFD Bogo Ops/s > Higher Is Better a .. 344.59 |================================================================== b .. 346.95 |================================================================== bb . 346.50 |================================================================== Stress-NG 0.14.06 Test: Mutex Bogo Ops/s > Higher Is Better a .. 2555306.71 |============================================================== b .. 2555818.54 |============================================================== bb . 2543185.20 |============================================================== Stress-NG 0.14.06 Test: Atomic Bogo Ops/s > Higher Is Better a .. 191652.74 |=============================================================== b .. 192046.43 |=============================================================== bb . 191968.43 |=============================================================== Stress-NG 0.14.06 Test: Crypto Bogo Ops/s > Higher Is Better a .. 8005.85 |================================================================= b .. 8007.83 |================================================================= bb . 8015.01 |================================================================= Stress-NG 0.14.06 Test: Malloc Bogo Ops/s > Higher Is Better a .. 5034370.71 |============================================================== b .. 4983463.68 |============================================================= bb . 5069843.78 |============================================================== Stress-NG 0.14.06 Test: Forking Bogo Ops/s > Higher Is Better a .. 34514.27 |================================================================ b .. 34432.91 |================================================================ bb . 34201.79 |=============================================================== Stress-NG 0.14.06 Test: IO_uring Bogo Ops/s > Higher Is Better a .. 2134.23 |================================================================ b .. 2137.14 |================================================================ bb . 2184.38 |================================================================= Stress-NG 0.14.06 Test: SENDFILE Bogo Ops/s > Higher Is Better a .. 96497.97 |================================================================ b .. 96676.81 |================================================================ bb . 96797.49 |================================================================ Stress-NG 0.14.06 Test: CPU Cache Bogo Ops/s > Higher Is Better a .. 73.16 |=============================================================== b .. 69.80 |============================================================ bb . 77.66 |=================================================================== Stress-NG 0.14.06 Test: CPU Stress Bogo Ops/s > Higher Is Better a .. 14999.02 |================================================================ b .. 14954.25 |================================================================ bb . 15070.73 |================================================================ Stress-NG 0.14.06 Test: Semaphores Bogo Ops/s > Higher Is Better a .. 1183697.18 |============================================================== b .. 1183978.49 |============================================================== bb . 1182965.64 |============================================================== Stress-NG 0.14.06 Test: Matrix Math Bogo Ops/s > Higher Is Better a .. 36739.78 |================================================================ b .. 36937.51 |================================================================ bb . 36870.90 |================================================================ Stress-NG 0.14.06 Test: Vector Math Bogo Ops/s > Higher Is Better a .. 24667.32 |================================================================ b .. 24661.45 |================================================================ bb . 24652.49 |================================================================ Stress-NG 0.14.06 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a .. 243886.80 |=============================================================== b .. 243886.17 |=============================================================== bb . 243838.85 |=============================================================== Stress-NG 0.14.06 Test: Memory Copying Bogo Ops/s > Higher Is Better a .. 2209.24 |================================================================ b .. 2233.33 |================================================================= bb . 2227.83 |================================================================= Stress-NG 0.14.06 Test: Socket Activity Bogo Ops/s > Higher Is Better a .. 5543.02 |================================================================= b .. 5393.75 |=============================================================== bb . 5394.50 |=============================================================== Stress-NG 0.14.06 Test: Context Switching Bogo Ops/s > Higher Is Better a .. 3726643.04 |============================================================= b .. 3794745.36 |============================================================== bb . 3784010.68 |============================================================== Stress-NG 0.14.06 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a .. 992491.08 |=============================================================== b .. 991340.72 |=============================================================== bb . 997765.04 |=============================================================== Stress-NG 0.14.06 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a .. 116.40 |================================================================= b .. 117.57 |================================================================== bb . 115.47 |================================================================= Stress-NG 0.14.06 Test: System V Message Passing Bogo Ops/s > Higher Is Better a .. 6417393.41 |============================================================== b .. 6443996.01 |============================================================== bb . 6432074.60 |============================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better a .. 14.16 |================================================================== b .. 14.36 |=================================================================== bb . 14.01 |================================================================= Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better a .. 1.724 |================================================================== b .. 1.745 |=================================================================== bb . 1.719 |================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better a .. 3.652 |=================================================================== b .. 3.592 |================================================================== bb . 3.484 |================================================================ Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better a .. 30.86 |=================================================================== b .. 29.62 |================================================================ bb . 29.33 |================================================================ Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better a .. 6.581 |============================================================== b .. 7.137 |=================================================================== bb . 6.517 |============================================================= Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better a .. 3.409 |================================================================= b .. 3.490 |=================================================================== bb . 3.422 |================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better a .. 3.035 |================================================================== b .. 3.026 |================================================================== bb . 3.063 |=================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better a .. 40.57 |=================================================================== b .. 40.44 |=================================================================== bb . 40.44 |=================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a .. 1.75 |================================================================== b .. 1.80 |==================================================================== bb . 1.77 |=================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a .. 2263.23 |================================================================= b .. 2221.12 |================================================================ bb . 2250.80 |================================================================= OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a .. 1.13 |================================================================== b .. 1.16 |==================================================================== bb . 1.14 |=================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a .. 3501.90 |================================================================= b .. 3403.74 |=============================================================== bb . 3448.11 |================================================================ OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a .. 1.13 |=================================================================== b .. 1.15 |==================================================================== bb . 1.15 |==================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a .. 3490.12 |================================================================= b .. 3447.88 |================================================================ bb . 3441.43 |================================================================ OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a .. 140.12 |================================================================= b .. 141.44 |================================================================== bb . 139.75 |================================================================= OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a .. 28.53 |=================================================================== b .. 28.26 |================================================================== bb . 28.60 |=================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a .. 2.38 |=================================================================== b .. 2.42 |==================================================================== bb . 2.40 |=================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a .. 1671.86 |================================================================= b .. 1647.25 |================================================================ bb . 1654.01 |================================================================ OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a .. 186.51 |================================================================= b .. 189.68 |================================================================== bb . 189.07 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a .. 21.43 |=================================================================== b .. 21.07 |================================================================== bb . 21.14 |================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a .. 160.74 |================================================================ b .. 166.39 |================================================================== bb . 164.22 |================================================================= OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a .. 24.87 |=================================================================== b .. 24.02 |================================================================= bb . 24.34 |================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a .. 20.00 |================================================================= b .. 20.57 |=================================================================== bb . 20.25 |================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a .. 199.81 |================================================================== b .. 194.30 |================================================================ bb . 197.55 |================================================================= OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a .. 241.54 |================================================================= b .. 245.42 |================================================================== bb . 241.91 |================================================================= OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a .. 33.11 |=================================================================== b .. 32.58 |================================================================== bb . 33.06 |=================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a .. 199.86 |================================================================= b .. 202.07 |================================================================== bb . 199.37 |================================================================= OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a .. 19.99 |=================================================================== b .. 19.77 |================================================================== bb . 20.04 |=================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a .. 4878.79 |================================================================ b .. 4933.75 |================================================================= bb . 4888.76 |================================================================ OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a .. 1.63 |==================================================================== b .. 1.61 |=================================================================== bb . 1.63 |==================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a .. 5251.77 |================================================================ b .. 5351.68 |================================================================= bb . 5290.34 |================================================================ OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a .. 1.52 |==================================================================== b .. 1.49 |=================================================================== bb . 1.50 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: KNN CAD Seconds < Lower Is Better a .. 288.32 |================================================================== b .. 287.31 |================================================================== bb . 286.11 |================================================================= Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better a .. 28.74 |=================================================================== b .. 28.42 |================================================================== bb . 28.29 |================================================================== Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better a .. 12.96 |================================================================== b .. 12.91 |================================================================== bb . 13.07 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better a .. 169.77 |================================================================== b .. 166.70 |================================================================= bb . 167.29 |================================================================= Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better a .. 64.51 |=================================================================== b .. 64.39 |=================================================================== bb . 64.75 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: Contextual Anomaly Detector OSE Seconds < Lower Is Better a .. 67.12 |================================================================== b .. 67.77 |=================================================================== bb . 68.02 |=================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better a .. 1.2 |================================================================ b .. 1.3 |===================================================================== bb . 1.3 |===================================================================== EnCodec 0.1.1 Target Bandwidth: 3 kbps Seconds < Lower Is Better a .. 35.30 |=================================================================== b .. 34.38 |================================================================= bb . 32.11 |============================================================= EnCodec 0.1.1 Target Bandwidth: 6 kbps Seconds < Lower Is Better a .. 33.67 |=================================================================== b .. 33.81 |=================================================================== bb . 31.96 |=============================================================== EnCodec 0.1.1 Target Bandwidth: 24 kbps Seconds < Lower Is Better a .. 37.62 |=================================================================== b .. 36.84 |================================================================== bb . 35.68 |================================================================ EnCodec 0.1.1 Target Bandwidth: 1.5 kbps Seconds < Lower Is Better a .. 30.55 |=================================================================== b .. 29.44 |================================================================= bb . 30.56 |=================================================================== BRL-CAD 7.34 VGR Performance Metric VGR Performance Metric > Higher Is Better a .. 88739 |================================================================= b .. 90960 |=================================================================== bb . 89471 |==================================================================