3700X AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009023-FI-3700X498660 .
3700X Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution R1 R2 R3 AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads) Gigabyte A320M-S2H-CF (F52a BIOS) AMD Starship/Matisse 8GB 240GB TOSHIBA RC100 HIS AMD Radeon HD 7750/8740 / R7 250E 1GB AMD Oland/Hainan/Cape VA2431 Realtek RTL8111/8168/8411 Ubuntu 20.04 5.9.0-050900rc1daily20200817-generic (x86_64) 20200816 GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.5 Mesa 20.0.8 (LLVM 10.0.0) 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
3700X 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 R1 R2 R3 2.26358 190706 2758073 166065 128235 131051 2499163 2.26056 190663 2756027 167203 128066 130967 2496837 2.25711 190562 2757703 166611 128128 131012 2496437 OpenBenchmarking.org
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms R1 R2 R3 0.5093 1.0186 1.5279 2.0372 2.5465 SE +/- 0.00629, N = 3 SE +/- 0.00600, N = 3 SE +/- 0.00810, N = 3 2.26358 2.26056 2.25711
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet R1 R2 R3 40K 80K 120K 160K 200K SE +/- 94.23, N = 3 SE +/- 88.37, N = 3 SE +/- 138.40, N = 3 190706 190663 190562
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 R1 R2 R3 600K 1200K 1800K 2400K 3000K SE +/- 4122.19, N = 3 SE +/- 2468.40, N = 3 SE +/- 3741.23, N = 3 2758073 2756027 2757703
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile R1 R2 R3 40K 80K 120K 160K 200K SE +/- 609.26, N = 3 SE +/- 2104.44, N = 3 SE +/- 1258.69, N = 3 166065 167203 166611
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float R1 R2 R3 30K 60K 90K 120K 150K SE +/- 57.66, N = 3 SE +/- 115.94, N = 3 SE +/- 113.06, N = 3 128235 128066 128128
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant R1 R2 R3 30K 60K 90K 120K 150K SE +/- 59.14, N = 3 SE +/- 62.41, N = 3 SE +/- 10.41, N = 3 131051 130967 131012
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 R1 R2 R3 500K 1000K 1500K 2000K 2500K SE +/- 1187.02, N = 3 SE +/- 2439.16, N = 3 SE +/- 2120.80, N = 3 2499163 2496837 2496437
Phoronix Test Suite v10.8.4