Core i7 4960X Intel Core i7-4960X testing with a MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS) and AMD FirePro V4800 1GB on Ubuntu 20.10 via the Phoronix Test Suite. Run 1: Processor: Intel Core i7-4960X @ 4.00GHz (6 Cores / 12 Threads), Motherboard: MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS), Chipset: Intel Xeon E7 v2/Xeon, Memory: 8GB, Disk: VisionTek 240GB, Graphics: AMD FirePro V4800 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 3.3 Mesa 20.2.1 (LLVM 11.0.0), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 Run 2: Processor: Intel Core i7-4960X @ 4.00GHz (6 Cores / 12 Threads), Motherboard: MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS), Chipset: Intel Xeon E7 v2/Xeon, Memory: 8GB, Disk: VisionTek 240GB, Graphics: AMD FirePro V4800 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 3.3 Mesa 20.2.1 (LLVM 11.0.0), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 Run 3: Processor: Intel Core i7-4960X @ 4.00GHz (6 Cores / 12 Threads), Motherboard: MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS), Chipset: Intel Xeon E7 v2/Xeon, Memory: 8GB, Disk: VisionTek 240GB, Graphics: AMD FirePro V4800 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 3.3 Mesa 20.2.1 (LLVM 11.0.0), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 yquake2 7.45 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better Run 1 . 431.1 |================================================================ Run 2 . 423.3 |=============================================================== Run 3 . 422.0 |=============================================================== yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better Run 1 . 241.9 |================================================================ Run 2 . 242.8 |================================================================ Run 3 . 241.0 |================================================================ yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better Run 1 . 91.1 |================================================================ Run 2 . 93.1 |================================================================= Run 3 . 93.2 |================================================================= GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better Run 1 . 868 |================================================================== Run 2 . 868 |================================================================== Run 3 . 868 |================================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better Run 1 . 1.4 |================================================================== Run 2 . 1.4 |================================================================== Run 3 . 1.3 |============================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better Run 1 . 147.57 |=============================================================== Run 2 . 147.82 |=============================================================== Run 3 . 147.52 |=============================================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better Run 1 . 0.43 |================================================================= Run 2 . 0.43 |================================================================= Run 3 . 0.43 |================================================================= simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better Run 1 . 0.32 |================================================================= Run 2 . 0.32 |================================================================= Run 3 . 0.32 |================================================================= simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better Run 1 . 0.48 |================================================================= Run 2 . 0.48 |================================================================= Run 3 . 0.48 |================================================================= simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better Run 1 . 0.49 |================================================================= Run 2 . 0.49 |================================================================= Run 3 . 0.49 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 14.45 |================================================================ Run 2 . 14.39 |================================================================ Run 3 . 14.39 |================================================================ oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 17.20 |========================================================== Run 2 . 17.35 |=========================================================== Run 3 . 18.88 |================================================================ oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 9.22097 |============================================================== Run 2 . 9.22615 |============================================================== Run 3 . 9.19382 |============================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 4.34336 |========================================================== Run 2 . 4.33333 |========================================================== Run 3 . 4.60333 |============================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 40.55 |================================================================ Run 2 . 40.77 |================================================================ Run 3 . 40.49 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 27.40 |================================================================ Run 2 . 27.29 |================================================================ Run 3 . 27.26 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 40.83 |================================================================ Run 2 . 40.78 |================================================================ Run 3 . 40.80 |================================================================ oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 40.60 |================================================================ Run 2 . 39.77 |=============================================================== Run 3 . 40.53 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 20.96 |============================================================= Run 2 . 18.09 |==================================================== Run 3 . 22.11 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 18.00 |================================================================ Run 2 . 17.98 |================================================================ Run 3 . 17.84 |=============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 21994.4 |============================================================= Run 2 . 22300.9 |============================================================== Run 3 . 21994.5 |============================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 11747.9 |============================================================== Run 2 . 11767.5 |============================================================== Run 3 . 11760.7 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 21975.3 |============================================================== Run 2 . 21965.3 |============================================================== Run 3 . 22029.1 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 11750.5 |============================================================== Run 2 . 11766.0 |============================================================== Run 3 . 11782.9 |============================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 9.97070 |============================================================== Run 2 . 9.99996 |============================================================== Run 3 . 9.99108 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Run 1 . 21964.4 |============================================================== Run 2 . 21982.7 |============================================================== Run 3 . 21994.2 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Run 1 . 11746.0 |============================================================== Run 2 . 11753.0 |============================================================== Run 3 . 11739.0 |============================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Run 1 . 9.85368 |============================================================== Run 2 . 9.56826 |============================================================ Run 3 . 9.53110 |============================================================ Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better Run 1 . 196682.99 |============================================================ Run 2 . 196637.95 |============================================================ Run 3 . 196223.75 |============================================================ Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better Run 1 . 114.33 |=============================================================== Run 2 . 115.03 |=============================================================== Run 3 . 114.63 |=============================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better Run 1 . 325.90 |=============================================================== Run 2 . 323.47 |=============================================================== Run 3 . 324.43 |=============================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better Run 1 . 124.23 |=============================================================== Run 2 . 124.42 |=============================================================== Run 3 . 124.71 |=============================================================== DeepSpeech 0.6 Acceleration: CPU Seconds < Lower Is Better Run 1 . 131.90 |=============================================================== Run 2 . 131.39 |=============================================================== Run 3 . 131.55 |=============================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better Run 1 . 15.71 |================================================================ Run 2 . 15.66 |================================================================ Run 3 . 15.71 |================================================================ Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better Run 1 . 10.09 |================================================================ Run 2 . 10.06 |================================================================ Run 3 . 10.05 |================================================================ RNNoise 2020-06-28 Seconds < Lower Is Better Run 1 . 26.10 |================================================================ Run 2 . 26.02 |================================================================ Run 3 . 25.98 |================================================================ Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better Run 1 . 6.80 |================================================================= Run 2 . 6.79 |================================================================= Run 3 . 6.79 |================================================================= Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better Run 1 . 1288185 |============================================================== Run 2 . 1286071 |============================================================== Run 3 . 1273833 |============================================================= Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better Run 1 . 492445 |=============================================================== Run 2 . 491213 |=============================================================== Run 3 . 488205 |============================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better Run 1 . 1435.8 |=============================================================== Run 2 . 1427.1 |============================================================== Run 3 . 1443.1 |=============================================================== Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better Run 1 . 1443.2 |=============================================================== Run 2 . 1435.4 |=============================================================== Run 3 . 1441.7 |=============================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better Run 1 . 332.0 |================================================================ Run 2 . 334.2 |================================================================ Run 3 . 334.0 |================================================================ Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better Run 1 . 314.4 |================================================================ Run 2 . 315.8 |================================================================ Run 3 . 315.3 |================================================================ Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better Run 1 . 367.3 |================================================================ Run 2 . 366.1 |=============================================================== Run 3 . 370.0 |================================================================ Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better Run 1 . 370.4 |================================================================ Run 2 . 372.0 |================================================================ Run 3 . 371.2 |================================================================ Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better Run 1 . 1163.6 |=============================================================== Run 2 . 1166.8 |=============================================================== Run 3 . 1170.2 |=============================================================== Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better Run 1 . 1158.7 |=============================================================== Run 2 . 1162.0 |=============================================================== Run 3 . 1162.9 |=============================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better Run 1 . 332.5 |================================================================ Run 2 . 333.5 |================================================================ Run 3 . 334.6 |================================================================ Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better Run 1 . 314.9 |================================================================ Run 2 . 315.3 |================================================================ Run 3 . 316.2 |================================================================ Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better Run 1 . 366.3 |=============================================================== Run 2 . 369.6 |================================================================ Run 3 . 370.3 |================================================================ Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better Run 1 . 368.1 |=============================================================== Run 2 . 370.5 |================================================================ Run 3 . 372.4 |================================================================ SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better Run 1 . 89.85 |=============================================================== Run 2 . 90.56 |================================================================ Run 3 . 90.40 |================================================================ NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better Run 1 . 72.60 |================================================================ Run 2 . 72.57 |================================================================ Run 3 . 72.68 |================================================================ NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better Run 1 . 18.50 |================================================================ Run 2 . 18.51 |================================================================ Run 3 . 18.47 |================================================================ NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better Run 1 . 17.08 |================================================================ Run 2 . 17.19 |================================================================ Run 3 . 17.21 |================================================================ NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better Run 1 . 13.08 |================================================================ Run 2 . 13.02 |================================================================ Run 3 . 12.96 |=============================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better Run 1 . 16.73 |================================================================ Run 2 . 16.64 |================================================================ Run 3 . 16.66 |================================================================ NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better Run 1 . 28.47 |================================================================ Run 2 . 28.24 |=============================================================== Run 3 . 28.26 |================================================================ NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better Run 1 . 3.37 |================================================================= Run 2 . 3.36 |================================================================= Run 3 . 3.29 |=============================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better Run 1 . 76.20 |================================================================ Run 2 . 75.87 |=============================================================== Run 3 . 76.59 |================================================================ NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better Run 1 . 618.31 |=============================================================== Run 2 . 616.29 |=============================================================== Run 3 . 616.99 |=============================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better Run 1 . 74.96 |================================================================ Run 2 . 75.21 |================================================================ Run 3 . 74.82 |================================================================ NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better Run 1 . 39.88 |================================================================ Run 2 . 39.78 |================================================================ Run 3 . 39.84 |================================================================ NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better Run 1 . 169.55 |=============================================================== Run 2 . 168.85 |=============================================================== Run 3 . 169.22 |=============================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better Run 1 . 153.63 |============================================================== Run 2 . 155.24 |=============================================================== Run 3 . 154.43 |=============================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better Run 1 . 79.18 |=============================================================== Run 2 . 79.45 |=============================================================== Run 3 . 80.33 |================================================================ NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better Run 1 . 27.61 |=============================================================== Run 2 . 28.01 |================================================================ Run 3 . 28.15 |================================================================ WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better Run 1 . 15.75 |================================================================ Run 2 . 15.68 |================================================================ Run 3 . 15.69 |================================================================ Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better Run 1 . 24.24 |================================================================ Run 2 . 23.20 |============================================================= Run 3 . 23.61 |==============================================================