Core i5 2500K October 2020 Intel Core i5-2500K testing with a SAPPHIRE Pure Black P67 Hydra (4.6.4 BIOS) and ASUS AMD Radeon HD 4890 1GB on Ubuntu 20.04 via the Phoronix Test Suite. Linux 5.4: Processor: Intel Core i5-2500K @ 3.70GHz (4 Cores), Motherboard: SAPPHIRE Pure Black P67 Hydra (4.6.4 BIOS), Chipset: Intel 2nd Generation Core DRAM, Memory: 3072MB, Disk: 120GB SanDisk SDSSDA12, Graphics: ASUS AMD Radeon HD 4890 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Marvell 88E8057 PCI-E OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Repeat: Processor: Intel Core i5-2500K @ 3.70GHz (4 Cores), Motherboard: SAPPHIRE Pure Black P67 Hydra (4.6.4 BIOS), Chipset: Intel 2nd Generation Core DRAM, Memory: 3072MB, Disk: 120GB SanDisk SDSSDA12, Graphics: ASUS AMD Radeon HD 4890 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Marvell 88E8057 PCI-E OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Repeat 2: Processor: Intel Core i5-2500K @ 3.70GHz (4 Cores), Motherboard: SAPPHIRE Pure Black P67 Hydra (4.6.4 BIOS), Chipset: Intel 2nd Generation Core DRAM, Memory: 3072MB, Disk: 120GB SanDisk SDSSDA12, Graphics: ASUS AMD Radeon HD 4890 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Marvell 88E8057 PCI-E OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better Linux 5.4 . 1057 |============================================================ Repeat .... 1054 |============================================================ Repeat 2 .. 1070 |============================================================= NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better Linux 5.4 . 6.17238 |========================================================== Repeat .... 6.15314 |========================================================== Repeat 2 .. 6.16095 |========================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better Linux 5.4 . 26.62 |============================================================ Repeat .... 26.71 |============================================================ Repeat 2 .. 26.63 |============================================================ FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better Linux 5.4 . 13380.64 |========================================================= Repeat .... 13398.73 |========================================================= Repeat 2 .. 13424.43 |========================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better Linux 5.4 . 176.14 |=========================================================== Repeat .... 175.90 |=========================================================== Repeat 2 .. 175.71 |=========================================================== Incompact3D 2020-09-17 Input: Cylinder Seconds < Lower Is Better Linux 5.4 . 1039.58 |========================================================= Repeat .... 1042.57 |========================================================= Repeat 2 .. 1053.22 |========================================================== Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Seconds < Lower Is Better Linux 5.4 . 407 |============================================================== Repeat .... 407 |============================================================== Repeat 2 .. 407 |============================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein ns/day > Higher Is Better Linux 5.4 . 2.154 |============================================================ Repeat .... 2.133 |=========================================================== Repeat 2 .. 2.147 |============================================================ WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better Linux 5.4 . 2.075 |============================================================ Repeat .... 2.080 |============================================================ Repeat 2 .. 2.076 |============================================================ WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better Linux 5.4 . 3.132 |============================================================ Repeat .... 3.136 |============================================================ Repeat 2 .. 3.136 |============================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better Linux 5.4 . 23.29 |============================================================ Repeat .... 23.36 |============================================================ Repeat 2 .. 23.30 |============================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better Linux 5.4 . 9.897 |============================================================ Repeat .... 9.867 |============================================================ Repeat 2 .. 9.885 |============================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better Linux 5.4 . 58.02 |============================================================ Repeat .... 58.06 |============================================================ Repeat 2 .. 58.00 |============================================================ BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better Linux 5.4 . 29229484.4 |====================================================== Repeat .... 29936822.9 |======================================================= Repeat 2 .. 29778323.9 |======================================================= Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better Linux 5.4 . 24.7 |============================================================= Repeat .... 18.4 |============================================= Repeat 2 .. 18.6 |============================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better Linux 5.4 . 11.4 |============================================================= Repeat .... 11.1 |=========================================================== Repeat 2 .. 11.0 |=========================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better Linux 5.4 . 19.00 |============================================================ Repeat .... 19.01 |============================================================ Repeat 2 .. 18.97 |============================================================ eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better Linux 5.4 . 43.15 |============================================================ Repeat .... 43.10 |============================================================ Repeat 2 .. 43.26 |============================================================ RNNoise 2020-06-28 Seconds < Lower Is Better Linux 5.4 . 29.93 |============================================================ Repeat .... 29.76 |============================================================ Repeat 2 .. 29.80 |============================================================ System GZIP Decompression Seconds < Lower Is Better Linux 5.4 . 3.587 |============================================================ Repeat .... 3.589 |============================================================ Repeat 2 .. 3.591 |============================================================ Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better Linux 5.4 . 250.70 |=========================================================== Repeat .... 250.10 |=========================================================== Repeat 2 .. 249.54 |=========================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better Linux 5.4 . 175757.68 |======================================================= Repeat .... 179397.95 |======================================================== Repeat 2 .. 175828.26 |======================================================= GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better Linux 5.4 . 0.270 |============================================================ Repeat .... 0.271 |============================================================ Repeat 2 .. 0.272 |============================================================ TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better Linux 5.4 . 650796 |=========================================================== Repeat .... 650591 |=========================================================== Repeat 2 .. 650550 |=========================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better Linux 5.4 . 9377547 |========================================================== Repeat .... 9377130 |========================================================== Repeat 2 .. 9376883 |========================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better Linux 5.4 . 463952 |=========================================================== Repeat .... 464063 |=========================================================== Repeat 2 .. 463886 |=========================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better Linux 5.4 . 441277 |========================================================== Repeat .... 441309 |========================================================== Repeat 2 .. 450901 |=========================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better Linux 5.4 . 452562 |=========================================================== Repeat .... 452612 |=========================================================== Repeat 2 .. 452642 |=========================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better Linux 5.4 . 8485727 |========================================================== Repeat .... 8485080 |========================================================== Repeat 2 .. 8486053 |========================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better Linux 5.4 . 61003 |============================================================ Repeat .... 60949 |============================================================ Repeat 2 .. 60915 |============================================================ Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better Linux 5.4 . 121726 |=========================================================== Repeat .... 121939 |=========================================================== Repeat 2 .. 121723 |=========================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better Linux 5.4 . 134664 |=========================================================== Repeat .... 134594 |=========================================================== Repeat 2 .. 134540 |=========================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better Linux 5.4 . 269249 |=========================================================== Repeat .... 269175 |=========================================================== Repeat 2 .. 269022 |=========================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better Linux 5.4 . 47.80 |============================================================ Repeat .... 47.79 |============================================================ Repeat 2 .. 48.05 |============================================================ NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better Linux 5.4 . 60.20 |============================================================ Repeat .... 60.19 |============================================================ Repeat 2 .. 60.13 |============================================================ NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better Linux 5.4 . 17.12 |============================================================ Repeat .... 17.09 |============================================================ Repeat 2 .. 17.12 |============================================================ NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better Linux 5.4 . 43.48 |============================================================ Repeat .... 43.11 |=========================================================== Repeat 2 .. 43.33 |============================================================ NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better Linux 5.4 . 7.73 |============================================================= Repeat .... 7.74 |============================================================= Repeat 2 .. 7.73 |============================================================= NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better Linux 5.4 . 75.43 |============================================================ Repeat .... 74.76 |=========================================================== Repeat 2 .. 74.37 |=========================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better Linux 5.4 . 89.21 |=========================================================== Repeat .... 90.13 |============================================================ Repeat 2 .. 89.65 |============================================================ NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better Linux 5.4 . 2.60 |============================================================= Repeat .... 2.59 |============================================================= Repeat 2 .. 2.59 |============================================================= NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better Linux 5.4 . 55.51 |============================================================ Repeat .... 55.41 |============================================================ Repeat 2 .. 55.46 |============================================================ NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better Linux 5.4 . 452.41 |=========================================================== Repeat .... 454.27 |=========================================================== Repeat 2 .. 453.16 |=========================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better Linux 5.4 . 52.86 |============================================================ Repeat .... 52.88 |============================================================ Repeat 2 .. 52.99 |============================================================ NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better Linux 5.4 . 34.84 |============================================================ Repeat .... 34.84 |============================================================ Repeat 2 .. 34.89 |============================================================ NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better Linux 5.4 . 124.39 |=========================================================== Repeat .... 124.43 |=========================================================== Repeat 2 .. 124.36 |=========================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better Linux 5.4 . 110.54 |=========================================================== Repeat .... 110.95 |=========================================================== Repeat 2 .. 110.83 |=========================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better Linux 5.4 . 353.71 |=========================================================== Repeat .... 354.32 |=========================================================== Repeat 2 .. 353.67 |=========================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better Linux 5.4 . 329.11 |=========================================================== Repeat .... 329.80 |=========================================================== Repeat 2 .. 330.19 |=========================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better Linux 5.4 . 0.55 |============================================================= Repeat .... 0.54 |============================================================ Repeat 2 .. 0.54 |============================================================ OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better Linux 5.4 . 7313.03 |========================================================== Repeat .... 7335.97 |========================================================== Repeat 2 .. 7319.10 |========================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better Linux 5.4 . 0.55 |============================================================= Repeat .... 0.54 |============================================================ Repeat 2 .. 0.55 |============================================================= OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better Linux 5.4 . 7308.46 |========================================================== Repeat .... 7337.22 |========================================================== Repeat 2 .. 7326.69 |========================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better Linux 5.4 . 0.36 |============================================================= Repeat .... 0.35 |=========================================================== Repeat 2 .. 0.35 |=========================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better Linux 5.4 . 11181.46 |========================================================= Repeat .... 11198.11 |========================================================= Repeat 2 .. 11225.27 |========================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better Linux 5.4 . 0.35 |============================================================= Repeat .... 0.35 |============================================================= Repeat 2 .. 0.35 |============================================================= OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better Linux 5.4 . 11208.62 |========================================================= Repeat .... 11154.63 |======================================================== Repeat 2 .. 11260.83 |========================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better Linux 5.4 . 1370.54 |========================================================== Repeat .... 1370.86 |========================================================== Repeat 2 .. 1368.42 |========================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better Linux 5.4 . 2.88 |============================================================= Repeat .... 2.88 |============================================================= Repeat 2 .. 2.88 |============================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better Linux 5.4 . 1368.69 |========================================================== Repeat .... 1368.56 |========================================================== Repeat 2 .. 1370.14 |========================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better Linux 5.4 . 2.88 |============================================================= Repeat .... 2.88 |============================================================= Repeat 2 .. 2.89 |============================================================= Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better Linux 5.4 . 288531427.65 |===================================================== Repeat .... 289622712.19 |===================================================== Repeat 2 .. 290073981.78 |===================================================== Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better Linux 5.4 . 74.94 |============================================================ Repeat .... 75.00 |============================================================ Repeat 2 .. 74.90 |============================================================ Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better Linux 5.4 . 25.41 |============================================================ Repeat .... 25.32 |============================================================ Repeat 2 .. 25.48 |============================================================ Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Seconds < Lower Is Better Linux 5.4 . 3.680 |============================================================ Repeat .... 3.658 |============================================================ Repeat 2 .. 3.628 |=========================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Linux 5.4 . 711718.3 |========================================================= Repeat .... 711633.7 |========================================================= Repeat 2 .. 709465.1 |========================================================= InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Linux 5.4 . 727591.2 |========================================================= Repeat .... 731426.5 |========================================================= Repeat 2 .. 731592.4 |========================================================= InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Linux 5.4 . 62220.9 |========================================================== Repeat 2 .. 62090.5 |==========================================================