3900X NAMD + TensorFlow Lite AMD Ryzen 9 3900X 12-Core testing with a ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) and MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009025-PTS-3900XNAM94&grs&sro .
3900X NAMD + TensorFlow Lite Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Run 1 Run 2 Run 3 AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads) ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) AMD Starship/Matisse 16GB Samsung SSD 970 EVO Plus 250GB MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1366/2000MHz) AMD Ellesmere HDMI Audio G237HL Realtek RTL8111/8168/8411 + Intel-AC 9260 Ubuntu 20.04 5.8.0-050800daily20200626-generic (x86_64) GNOME Shell 3.36.3 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.2.0-devel (git-64cdc13 2020-07-02 focal-oibaf-ppa) (LLVM 10.0.0) 1.2.131 GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Processor Details - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
3900X NAMD + TensorFlow Lite tensorflow-lite: NASNet Mobile tensorflow-lite: SqueezeNet tensorflow-lite: Inception ResNet V2 tensorflow-lite: Inception V4 namd: ATPase Simulation - 327,506 Atoms tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant Run 1 Run 2 Run 3 141493 139071 1809867 2013633 1.55718 94746.8 97075.9 142270 139099 1813377 2016277 1.55880 94808.1 97138.1 142503 139434 1812480 2015920 1.55756 94831.9 97115.7 OpenBenchmarking.org
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Run 1 Run 2 Run 3 30K 60K 90K 120K 150K SE +/- 726.28, N = 3 SE +/- 983.14, N = 3 SE +/- 1263.95, N = 3 141493 142270 142503
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Run 1 Run 2 Run 3 30K 60K 90K 120K 150K SE +/- 98.00, N = 3 SE +/- 54.67, N = 3 SE +/- 143.24, N = 3 139071 139099 139434
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Run 1 Run 2 Run 3 400K 800K 1200K 1600K 2000K SE +/- 1167.51, N = 3 SE +/- 583.16, N = 3 SE +/- 489.93, N = 3 1809867 1813377 1812480
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Run 1 Run 2 Run 3 400K 800K 1200K 1600K 2000K SE +/- 679.71, N = 3 SE +/- 982.21, N = 3 SE +/- 1110.99, N = 3 2013633 2016277 2015920
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Run 1 Run 2 Run 3 0.3507 0.7014 1.0521 1.4028 1.7535 SE +/- 0.00371, N = 3 SE +/- 0.00152, N = 3 SE +/- 0.00130, N = 3 1.55718 1.55880 1.55756
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Run 1 Run 2 Run 3 20K 40K 60K 80K 100K SE +/- 43.09, N = 3 SE +/- 122.03, N = 3 SE +/- 127.35, N = 3 94746.8 94808.1 94831.9
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Run 1 Run 2 Run 3 20K 40K 60K 80K 100K SE +/- 51.15, N = 3 SE +/- 58.50, N = 3 SE +/- 86.72, N = 3 97075.9 97138.1 97115.7
Phoronix Test Suite v10.8.5