AMD Ryzen 5 3600XT Linux 5.9 Performance AMD Ryzen 5 3600XT 6-Core testing with a MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.E0 BIOS) and MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2008258-FI-AMDRYZEN521&sro .
AMD Ryzen 5 3600XT Linux 5.9 Performance Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git AMD Ryzen 5 3600XT 6-Core @ 3.80GHz (6 Cores / 12 Threads) MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.E0 BIOS) AMD Starship/Matisse 16GB Samsung SSD 960 EVO 500GB MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB AMD Oland/Hainan/Cape G237HL Qualcomm Atheros Killer E2500 + Intel 8265 / 8275 Ubuntu 20.04 5.8.0-050800-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.5 Mesa 20.0.4 (LLVM 9.0.1) GCC 9.3.0 ext4 1920x1080 5.9.0-050900rc2daily20200825-generic (x86_64) 20200824 OpenBenchmarking.org Processor Details - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8701021 Python Details - Python 3.8.2 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
AMD Ryzen 5 3600XT Linux 5.9 Performance 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 ecp-candle: P1B2 ecp-candle: P3B1 ecp-candle: P3B2 Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 2.70529 251885 3737547 215503 173209 177838 3411050 37.604 1159.85 622.668 2.72941 254238 3764053 216850 173965 178637 3418317 37.5 1163.622 619.336 2.72543 253775 3764280 216606 173927 178295 3416977 38.775 1157.774 614.895 OpenBenchmarking.org
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 0.6141 1.2282 1.8423 2.4564 3.0705 SE +/- 0.00938, N = 3 SE +/- 0.00609, N = 3 SE +/- 0.00911, N = 3 2.70529 2.72941 2.72543
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 50K 100K 150K 200K 250K SE +/- 98.10, N = 3 SE +/- 118.67, N = 3 SE +/- 67.35, N = 3 251885 254238 253775
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 800K 1600K 2400K 3200K 4000K SE +/- 6718.28, N = 3 SE +/- 2298.87, N = 3 SE +/- 6443.07, N = 3 3737547 3764053 3764280
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 50K 100K 150K 200K 250K SE +/- 209.87, N = 3 SE +/- 163.95, N = 3 215503 216850 216606
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 40K 80K 120K 160K 200K SE +/- 219.54, N = 3 SE +/- 145.75, N = 3 SE +/- 36.54, N = 3 173209 173965 173927
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 40K 80K 120K 160K 200K SE +/- 137.61, N = 3 SE +/- 61.73, N = 3 SE +/- 241.10, N = 3 177838 178637 178295
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 700K 1400K 2100K 2800K 3500K SE +/- 1861.53, N = 3 SE +/- 2702.73, N = 3 SE +/- 3163.86, N = 3 3411050 3418317 3416977
ECP-CANDLE Benchmark: P1B2 OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P1B2 Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 9 18 27 36 45 37.60 37.50 38.78
ECP-CANDLE Benchmark: P3B1 OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B1 Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 300 600 900 1200 1500 1159.85 1163.62 1157.77
ECP-CANDLE Benchmark: P3B2 OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B2 Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 130 260 390 520 650 622.67 619.34 614.90
Phoronix Test Suite v10.8.4