PlaidML CPU + OpenCL Linux Benchmarks

Intel Core i9-9900K testing with a ASUS PRIME Z390-A (0602 BIOS) and NVIDIA GeForce GTX 1060 6GB on Ubuntu 18.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1901287-SP-PLAIDMLCP74
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
9900K + GTX 1060
January 27 2019
  5 Hours, 20 Minutes
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9900K + GTX 1060

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB + 2000GB SABRENT, Graphics: NVIDIA GeForce GTX 1060 6GB (1506/4006MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

OS: Ubuntu 18.10, Kernel: 4.20.3-042003-generic (x86_64), Desktop: GNOME Shell 3.30.1, Display Server: X Server 1.20.1, Display Driver: NVIDIA 415.27, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 8.2.0, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 1280
Python Notes: Python 2.7.15+ + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

PlaidML CPU + OpenCL Linux BenchmarksOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASUS PRIME Z390-A (0602 BIOS)Intel Cannon Lake PCH Shared SRAM16384MBSamsung SSD 970 EVO 250GB + 2000GB SABRENTNVIDIA GeForce GTX 1060 6GB (1506/4006MHz)Realtek ALC1220Acer B286HKIntel I219-VUbuntu 18.104.20.3-042003-generic (x86_64)GNOME Shell 3.30.1X Server 1.20.1NVIDIA 415.274.6.0OpenCL 1.2 CUDA 10.0.1321.1.84GCC 8.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionPlaidML CPU + OpenCL Linux Benchmarks PerformanceSystem Logs- Scaling Governor: intel_pstate performance- GPU Compute Cores: 1280- Python 2.7.15+ + Python 3.6.7- __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

PlaidML CPU + OpenCL Linux Benchmarksplaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUplaidml: No - Training - VGG16 - OpenCLplaidml: No - Training - VGG19 - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG19 - OpenCLplaidml: No - Inference - IMDB LSTM - CPUplaidml: No - Inference - Mobilenet - CPUplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Training - IMDB LSTM - OpenCLplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Training - ResNet 50 - OpenCLplaidml: No - Inference - DenseNet 201 - CPUplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - NASNer Large - CPUplaidml: No - Inference - ResNet 50 - OpenCLplaidml: No - Training - DenseNet 201 - OpenCLplaidml: No - Training - Inception V3 - OpenCLplaidml: No - Training - NASNer Large - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLplaidml: No - Inference - Inception V3 - OpenCLplaidml: No - Inference - NASNer Large - OpenCL9900K + GTX 10604.383.722679.072688.1095.1079.591.7837.9310.3513687.251574.063.281835930.85196701.6322.45416.5264.0286.1818.44OpenBenchmarking.org

PlaidML

This test profile uses PlaidML deep learning framework for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPU9900K + GTX 10600.98551.9712.95653.9424.9275SE +/- 0.00, N = 34.38

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPU9900K + GTX 10600.8371.6742.5113.3484.185SE +/- 0.00, N = 33.72

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: VGG16 - Device: OpenCL9900K + GTX 10606001200180024003000SE +/- 13.17, N = 32679.07

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: VGG19 - Device: OpenCL9900K + GTX 10606001200180024003000SE +/- 7.68, N = 32688.10

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL9900K + GTX 106020406080100SE +/- 0.04, N = 395.10

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL9900K + GTX 106020406080100SE +/- 0.03, N = 379.59

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU9900K + GTX 10600.40050.8011.20151.6022.0025SE +/- 0.00, N = 31.78

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPU9900K + GTX 1060918273645SE +/- 0.06, N = 337.93

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU9900K + GTX 1060369121510.35

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: IMDB LSTM - Device: OpenCL9900K + GTX 1060306090120150SE +/- 0.07, N = 3136

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL9900K + GTX 106020406080100SE +/- 0.06, N = 387.25

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: ResNet 50 - Device: OpenCL9900K + GTX 1060300600900120015001574.06

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU9900K + GTX 10600.7381.4762.2142.9523.69SE +/- 0.00, N = 33.28

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL9900K + GTX 10604080120160200SE +/- 0.11, N = 3183

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL9900K + GTX 1060130260390520650SE +/- 0.90, N = 3593

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: CPU9900K + GTX 10600.19130.38260.57390.76520.9565SE +/- 0.00, N = 30.85

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL9900K + GTX 10604080120160200SE +/- 0.10, N = 3196

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: DenseNet 201 - Device: OpenCL9900K + GTX 1060150300450600750SE +/- 7.34, N = 3701.63

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Inception V3 - Device: OpenCL9900K + GTX 1060510152025SE +/- 0.02, N = 322.45

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Training - Network: NASNer Large - Device: OpenCL9900K + GTX 106090180270360450SE +/- 3.12, N = 3416.52

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL9900K + GTX 10601428425670SE +/- 0.01, N = 364.02

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL9900K + GTX 106020406080100SE +/- 0.09, N = 386.18

OpenBenchmarking.orgExamples Per Second, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCL9900K + GTX 1060510152025SE +/- 0.01, N = 318.44

9900K + GTX 1060

Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0602 BIOS), Chipset: Intel Cannon Lake PCH Shared SRAM, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB + 2000GB SABRENT, Graphics: NVIDIA GeForce GTX 1060 6GB (1506/4006MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V

OS: Ubuntu 18.10, Kernel: 4.20.3-042003-generic (x86_64), Desktop: GNOME Shell 3.30.1, Display Server: X Server 1.20.1, Display Driver: NVIDIA 415.27, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 8.2.0, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 1280
Python Notes: Python 2.7.15+ + Python 3.6.7
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp

Testing initiated at 27 January 2019 20:23 by user phoronix.