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 .
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 namd: ATPase Simulation - 327,506 Atoms tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 Q1 Q2 Q3 1.13204 103957 1474573 122765 69314.6 71704.8 1330227 1.11931 104117 1473453 122494 69370.4 71660.8 1330030 1.11761 104080 1476337 122381 69362.2 71699.0 1329480 OpenBenchmarking.org
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Q1 Q2 Q3 0.2547 0.5094 0.7641 1.0188 1.2735 SE +/- 0.01930, N = 3 SE +/- 0.00763, N = 3 SE +/- 0.00661, N = 3 1.13204 1.11931 1.11761
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Q1 Q2 Q3 20K 40K 60K 80K 100K SE +/- 33.91, N = 3 SE +/- 76.70, N = 3 SE +/- 41.80, N = 3 103957 104117 104080
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Q1 Q2 Q3 300K 600K 900K 1200K 1500K SE +/- 387.40, N = 3 SE +/- 1224.76, N = 3 SE +/- 588.14, N = 3 1474573 1473453 1476337
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Q1 Q2 Q3 30K 60K 90K 120K 150K SE +/- 140.59, N = 3 SE +/- 145.77, N = 3 SE +/- 108.02, N = 3 122765 122494 122381
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Q1 Q2 Q3 15K 30K 45K 60K 75K SE +/- 24.50, N = 3 SE +/- 48.87, N = 3 SE +/- 24.27, N = 3 69314.6 69370.4 69362.2
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Q1 Q2 Q3 15K 30K 45K 60K 75K SE +/- 42.17, N = 3 SE +/- 23.74, N = 3 SE +/- 46.17, N = 3 71704.8 71660.8 71699.0
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Q1 Q2 Q3 300K 600K 900K 1200K 1500K SE +/- 505.18, N = 3 SE +/- 1379.60, N = 3 SE +/- 696.16, N = 3 1330227 1330030 1329480
Phoronix Test Suite v10.8.4