Ryzen 9 3950X Ubuntu AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2008235-FI-RYZEN939597&grw&sor .
Ryzen 9 3950X Ubuntu Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan File-System Screen Resolution Q1 Q2 Q3 AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads) ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) AMD Starship/Matisse 16GB 2000GB Corsair Force MP600 + 2000GB AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz) AMD Navi 10 HDMI Audio DELL P2415Q Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 20.04 5.9.0-050900rc1daily20200821-generic (x86_64) 20200820 GNOME Shell 3.36.4 X Server 1.20.8 amdgpu 19.1.0 4.6 Mesa 20.3.0-devel (git-32dc71b 2020-08-22 focal-oibaf-ppa) (LLVM 10.0.1) 1.2.146 ext4 2560x1440 OpenBenchmarking.org Processor Details - Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013 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
Ryzen 9 3950X Ubuntu tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 namd: ATPase Simulation - 327,506 Atoms Q1 Q2 Q3 103957 1474573 122765 69314.6 71704.8 1330227 1.13204 104117 1473453 122494 69370.4 71660.8 1330030 1.11931 104080 1476337 122381 69362.2 71699.0 1329480 1.11761 OpenBenchmarking.org
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Q1 Q3 Q2 20K 40K 60K 80K 100K SE +/- 33.91, N = 3 SE +/- 41.80, N = 3 SE +/- 76.70, N = 3 103957 104080 104117
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Q2 Q1 Q3 300K 600K 900K 1200K 1500K SE +/- 1224.76, N = 3 SE +/- 387.40, N = 3 SE +/- 588.14, N = 3 1473453 1474573 1476337
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Q3 Q2 Q1 30K 60K 90K 120K 150K SE +/- 108.02, N = 3 SE +/- 145.77, N = 3 SE +/- 140.59, N = 3 122381 122494 122765
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Q1 Q3 Q2 15K 30K 45K 60K 75K SE +/- 24.50, N = 3 SE +/- 24.27, N = 3 SE +/- 48.87, N = 3 69314.6 69362.2 69370.4
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Q2 Q3 Q1 15K 30K 45K 60K 75K SE +/- 23.74, N = 3 SE +/- 46.17, N = 3 SE +/- 42.17, N = 3 71660.8 71699.0 71704.8
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Q3 Q2 Q1 300K 600K 900K 1200K 1500K SE +/- 696.16, N = 3 SE +/- 1379.60, N = 3 SE +/- 505.18, N = 3 1329480 1330030 1330227
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Q3 Q2 Q1 0.2547 0.5094 0.7641 1.0188 1.2735 SE +/- 0.00661, N = 3 SE +/- 0.00763, N = 3 SE +/- 0.01930, N = 3 1.11761 1.11931 1.13204
Phoronix Test Suite v10.8.4