Core i5 Laptop

Intel Core i5-5300U testing with a HP 2216 (M71 Ver. 01.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

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August 28 2020
  7 Hours, 53 Minutes
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August 29 2020
  11 Hours, 6 Minutes
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August 29 2020
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Core i5 Laptop Intel Core i5-5300U testing with a HP 2216 (M71 Ver. 01.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.04 via the Phoronix Test Suite. Run 1: Processor: Intel Core i5-5300U @ 2.90GHz (2 Cores / 4 Threads), Motherboard: HP 2216 (M71 Ver. 01.27 BIOS), Chipset: Intel Broadwell-U-OPI, Memory: 8GB, Disk: 256GB MTFDDAK256MAM-1K, Graphics: Intel HD 5500 3GB (900MHz), Audio: Intel Broadwell-U Audio, Network: Intel I218-LM + Intel 7265 OS: Ubuntu 20.04, Kernel: 5.4.0-33-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1366x768 Run 2: Processor: Intel Core i5-5300U @ 2.90GHz (2 Cores / 4 Threads), Motherboard: HP 2216 (M71 Ver. 01.27 BIOS), Chipset: Intel Broadwell-U-OPI, Memory: 8GB, Disk: 256GB MTFDDAK256MAM-1K, Graphics: Intel HD 5500 3GB (900MHz), Audio: Intel Broadwell-U Audio, Network: Intel I218-LM + Intel 7265 OS: Ubuntu 20.04, Kernel: 5.4.0-33-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1366x768 Run 3: Processor: Intel Core i5-5300U @ 2.90GHz (2 Cores / 4 Threads), Motherboard: HP 2216 (M71 Ver. 01.27 BIOS), Chipset: Intel Broadwell-U-OPI, Memory: 8GB, Disk: 256GB MTFDDAK256MAM-1K, Graphics: Intel HD 5500 3GB (900MHz), Audio: Intel Broadwell-U Audio, Network: Intel I218-LM + Intel 7265 OS: Ubuntu 20.04, Kernel: 5.4.0-33-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1366x768 Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better Run 1 . 1838.83 |=========================================================== Run 2 . 1918.78 |============================================================== Run 3 . 1841.51 |============================================================ Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better Run 1 . 226.86 |=============================================================== Run 2 . 225.70 |============================================================== Run 3 . 227.51 |=============================================================== Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better Run 1 . 645.61 |=============================================================== Run 2 . 643.29 |=============================================================== Run 3 . 643.34 |=============================================================== Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better Run 1 . 124.41 |=============================================================== Run 2 . 116.73 |=========================================================== Run 3 . 116.12 |=========================================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better Run 1 . 47.08 |================================================================ Run 2 . 46.79 |================================================================ Run 3 . 47.02 |================================================================ NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better Run 1 . 11.13 |================================================================ Run 2 . 11.14 |================================================================ Run 3 . 11.13 |================================================================ oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 23.30 |================================================================ Run 2 . 22.90 |=============================================================== Run 3 . 22.78 |=============================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 307.09 |============================================================== Run 2 . 304.02 |============================================================== Run 3 . 311.40 |=============================================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 34.93 |================================================================ Run 2 . 33.81 |============================================================== Run 3 . 35.10 |================================================================ oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 27.86 |================================================================ Run 2 . 27.76 |================================================================ Run 3 . 27.78 |================================================================ oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 37.94 |================================================================ Run 2 . 37.73 |================================================================ Run 3 . 37.84 |================================================================ oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 1554.43 |=========================================================== Run 2 . 1532.18 |========================================================== Run 3 . 1628.52 |============================================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 810.74 |============================================================== Run 2 . 811.33 |============================================================== Run 3 . 824.36 |=============================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Run 1 . 10.77 |============================================================== Run 2 . 10.25 |=========================================================== Run 3 . 11.07 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better Run 1 . 489.48 |=============================================================== Run 2 . 476.99 |============================================================= Run 3 . 477.14 |============================================================= libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better Run 1 . 284.94 |=============================================================== Run 2 . 283.33 |=============================================================== Run 3 . 282.66 |============================================================== libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better Run 1 . 16.64 |================================================================ Run 2 . 16.64 |================================================================ Run 3 . 16.65 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better Run 1 . 14.73 |================================================================ Run 2 . 14.74 |================================================================ Run 3 . 14.75 |================================================================ Timed Apache Compilation 2.4.41 Time To Compile Seconds < Lower Is Better Run 1 . 74.29 |================================================================ Run 2 . 73.88 |=============================================================== Run 3 . 74.87 |================================================================ Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better Run 1 . 567.77 |=============================================================== Run 2 . 564.36 |============================================================== Run 3 . 569.99 |=============================================================== Montage Astronomical Image Mosaic Engine 6.0 Mosaic of M17, K band, 1.5 deg x 1.5 deg Seconds < Lower Is Better Run 1 . 122.01 |=============================================================== Run 2 . 122.22 |=============================================================== Run 3 . 122.07 |=============================================================== Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping Test Cases Per Minute > Higher Is Better Run 1 . 427.68 |=============================================================== Run 2 . 427.55 |=============================================================== Run 3 . 427.87 |=============================================================== Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image Test Cases Per Minute > Higher Is Better Run 1 . 14193.87 |============================================================= Run 2 . 14197.08 |============================================================= Run 3 . 14118.10 |============================================================= Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster Test Cases Per Minute > Higher Is Better Run 1 . 436.88 |=============================================================== Run 2 . 436.58 |=============================================================== Run 3 . 435.60 |=============================================================== TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better Run 1 . 1439837 |============================================================== Run 2 . 1440517 |============================================================== Run 3 . 1439717 |============================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better Run 1 . 20827933 |============================================================= Run 2 . 20848367 |============================================================= Run 3 . 20848033 |============================================================= TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better Run 1 . 1007580 |============================================================== Run 2 . 1007653 |============================================================== Run 3 . 1008210 |============================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better Run 1 . 976575 |=============================================================== Run 2 . 976629 |=============================================================== Run 3 . 976604 |=============================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better Run 1 . 947522 |=============================================================== Run 2 . 944925 |=============================================================== Run 3 . 944543 |=============================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better Run 1 . 18852000 |============================================================= Run 2 . 18851967 |============================================================= Run 3 . 18853200 |============================================================= ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better Run 1 . 10.49 |================================================================ Run 2 . 10.49 |================================================================ Run 3 . 10.50 |================================================================ ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better Run 1 . 28.63 |================================================================ Run 2 . 28.65 |================================================================ Run 3 . 28.62 |================================================================ ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better Run 1 . 196.20 |=============================================================== Run 2 . 196.44 |=============================================================== Run 3 . 196.17 |=============================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better Run 1 . 1600.33 |============================================================== Run 2 . 1601.44 |============================================================== Run 3 . 1601.56 |============================================================== ECP-CANDLE 0.3 Benchmark: P1B2 Seconds < Lower Is Better Run 1 . 74.84 |================================================================ Run 2 . 72.77 |============================================================== Run 3 . 74.82 |================================================================ ECP-CANDLE 0.3 Benchmark: P3B1 Seconds < Lower Is Better Run 1 . 2586.14 |============================================================== Run 2 . 2551.64 |============================================================= Run 3 . 2549.29 |============================================================= Geekbench 5 Test: CPU Multi Core Score > Higher Is Better Run 1 . 1633 |================================================================= Run 2 . 1630 |================================================================= Run 3 . 1630 |================================================================= Geekbench 5 Test: CPU Multi Core - Gaussian Blur Mpixels/sec > Higher Is Better Run 1 . 77.8 |================================================================= Run 2 . 77.6 |================================================================= Run 3 . 77.8 |================================================================= Geekbench 5 Test: CPU Multi Core - Face Detection images/sec > Higher Is Better Run 1 . 12.7 |================================================================= Run 2 . 12.6 |================================================================ Run 3 . 12.7 |================================================================= Geekbench 5 Test: CPU Multi Core - Horizon Detection Gpixels/sec > Higher Is Better Run 1 . 43.2 |================================================================= Run 2 . 42.9 |================================================================= Run 3 . 43.1 |================================================================= Geekbench 5 Test: CPU Single Core Score > Higher Is Better Run 1 . 789 |================================================================== Run 2 . 785 |================================================================== Run 3 . 785 |================================================================== Geekbench 5 Test: CPU Single Core - Gaussian Blur Mpixels/sec > Higher Is Better Run 1 . 32.8 |================================================================= Run 2 . 32.1 |================================================================ Run 3 . 31.7 |=============================================================== Geekbench 5 Test: CPU Single Core - Face Detection images/sec > Higher Is Better Run 1 . 5.86 |================================================================ Run 2 . 5.92 |================================================================= Run 3 . 5.89 |================================================================= Geekbench 5 Test: CPU Single Core - Horizon Detection Gpixels/sec > Higher Is Better Run 1 . 19.3 |================================================================= Run 2 . 19.2 |================================================================= Run 3 . 19.3 |=================================================================