New Test Intel Core i9-9900K testing with a ASUS PRIME Z390-A (0602 BIOS) and NVIDIA GeForce GTX 1070 8GB on Ubuntu 18.04 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 1901114-SP-NEWTEST2730 NVIDIA GeForce GTX 1070 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: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 1070 8GB (1506/4006MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V
OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: Xfce 4.12, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160
Processor Notes: Scaling Governor: intel_pstate performanceOpenCL Notes: GPU Compute Cores: 1920Python Notes: Python 2.7.15rc1 + Python 3.6.7Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp
PlaidML OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG19 - Device: CPU NVIDIA GeForce GTX 1070 0.5805 1.161 1.7415 2.322 2.9025 SE +/- 0.00, N = 3 2.58
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG16 - Device: CPU NVIDIA GeForce GTX 1070 0.648 1.296 1.944 2.592 3.24 SE +/- 0.01, N = 3 2.88
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: CPU NVIDIA GeForce GTX 1070 0.8348 1.6696 2.5044 3.3392 4.174 SE +/- 0.00, N = 3 3.71
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU NVIDIA GeForce GTX 1070 0.9878 1.9756 2.9634 3.9512 4.939 SE +/- 0.02, N = 3 4.39
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU NVIDIA GeForce GTX 1070 3 6 9 12 15 10.30
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU NVIDIA GeForce GTX 1070 9 18 27 36 45 SE +/- 0.06, N = 3 39.85
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL NVIDIA GeForce GTX 1070 30 60 90 120 150 SE +/- 0.06, N = 3 113.60
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL NVIDIA GeForce GTX 1070 30 60 90 120 150 SE +/- 0.06, N = 3 115.33
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL NVIDIA GeForce GTX 1070 20 40 60 80 100 SE +/- 0.07, N = 3 108.09
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL NVIDIA GeForce GTX 1070 20 40 60 80 100 SE +/- 0.10, N = 3 108.42
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL NVIDIA GeForce GTX 1070 30 60 90 120 150 SE +/- 0.15, N = 3 126.31
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL NVIDIA GeForce GTX 1070 30 60 90 120 150 SE +/- 0.12, N = 3 129.06
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL NVIDIA GeForce GTX 1070 50 100 150 200 250 SE +/- 0.26, N = 3 234.66
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL NVIDIA GeForce GTX 1070 60 120 180 240 300 SE +/- 0.20, N = 3 256.52
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL NVIDIA GeForce GTX 1070 140 280 420 560 700 SE +/- 0.92, N = 3 654.58
OpenBenchmarking.org Examples Per Second, More Is Better PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL NVIDIA GeForce GTX 1070 160 320 480 640 800 SE +/- 1.21, N = 3 748.26
NVIDIA GeForce GTX 1070 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: 2000GB SABRENT + Samsung SSD 970 EVO 250GB, Graphics: NVIDIA GeForce GTX 1070 8GB (1506/4006MHz), Audio: Realtek ALC1220, Monitor: Acer B286HK, Network: Intel I219-V
OS: Ubuntu 18.04, Kernel: 4.20.0-042000-generic (x86_64), Desktop: Xfce 4.12, Display Server: X Server 1.19.6, Display Driver: NVIDIA 415.25, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 10.0.132, Vulkan: 1.1.84, Compiler: GCC 7.3.0 + LLVM 6.0.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160
Processor Notes: Scaling Governor: intel_pstate performanceOpenCL Notes: GPU Compute Cores: 1920Python Notes: Python 2.7.15rc1 + Python 3.6.7Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp
Testing initiated at 10 January 2019 20:12 by user phoronix.