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&sor&grs .
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 tensorflow-lite: NASNet Mobile namd: ATPase Simulation - 327,506 Atoms tensorflow-lite: Mobilenet Float tensorflow-lite: Inception ResNet V2 tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: Mobilenet Quant R1 R2 R3 166065 2.26358 128235 2499163 190706 2758073 131051 167203 2.26056 128066 2496837 190663 2756027 130967 166611 2.25711 128128 2496437 190562 2757703 131012 OpenBenchmarking.org
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile R1 R3 R2 40K 80K 120K 160K 200K SE +/- 609.26, N = 3 SE +/- 1258.69, N = 3 SE +/- 2104.44, N = 3 166065 166611 167203
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms R3 R2 R1 0.5093 1.0186 1.5279 2.0372 2.5465 SE +/- 0.00810, N = 3 SE +/- 0.00600, N = 3 SE +/- 0.00629, N = 3 2.25711 2.26056 2.26358
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float R2 R3 R1 30K 60K 90K 120K 150K SE +/- 115.94, N = 3 SE +/- 113.06, N = 3 SE +/- 57.66, N = 3 128066 128128 128235
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 R3 R2 R1 500K 1000K 1500K 2000K 2500K SE +/- 2120.80, N = 3 SE +/- 2439.16, N = 3 SE +/- 1187.02, N = 3 2496437 2496837 2499163
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet R3 R2 R1 40K 80K 120K 160K 200K SE +/- 138.40, N = 3 SE +/- 88.37, N = 3 SE +/- 94.23, N = 3 190562 190663 190706
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 R2 R3 R1 600K 1200K 1800K 2400K 3000K SE +/- 2468.40, N = 3 SE +/- 3741.23, N = 3 SE +/- 4122.19, N = 3 2756027 2757703 2758073
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant R2 R3 R1 30K 60K 90K 120K 150K SE +/- 62.41, N = 3 SE +/- 10.41, N = 3 SE +/- 59.14, N = 3 130967 131012 131051
Phoronix Test Suite v10.8.4