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&sor&grr .
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 ecp-candle: P3B1 ecp-candle: P3B2 tensorflow-lite: Inception V4 tensorflow-lite: Inception ResNet V2 namd: ATPase Simulation - 327,506 Atoms tensorflow-lite: NASNet Mobile tensorflow-lite: SqueezeNet tensorflow-lite: Mobilenet Quant tensorflow-lite: Mobilenet Float ecp-candle: P1B2 Linux 5.8.0 Linux 5.8.0 Confirmation Linux 5.9 Git 1159.85 622.668 3737547 3411050 2.70529 215503 251885 177838 173209 37.604 1163.622 619.336 3764053 3418317 2.72941 216850 254238 178637 173965 37.5 1157.774 614.895 3764280 3416977 2.72543 216606 253775 178295 173927 38.775 OpenBenchmarking.org
ECP-CANDLE Benchmark: P3B1 OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B1 Linux 5.9 Git Linux 5.8.0 Linux 5.8.0 Confirmation 300 600 900 1200 1500 1157.77 1159.85 1163.62
ECP-CANDLE Benchmark: P3B2 OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B2 Linux 5.9 Git Linux 5.8.0 Confirmation Linux 5.8.0 130 260 390 520 650 614.90 619.34 622.67
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: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Linux 5.8.0 Linux 5.9 Git Linux 5.8.0 Confirmation 700K 1400K 2100K 2800K 3500K SE +/- 1861.53, N = 3 SE +/- 3163.86, N = 3 SE +/- 2702.73, N = 3 3411050 3416977 3418317
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 5.9 Git Linux 5.8.0 Confirmation 0.6141 1.2282 1.8423 2.4564 3.0705 SE +/- 0.00938, N = 3 SE +/- 0.00911, N = 3 SE +/- 0.00609, N = 3 2.70529 2.72543 2.72941
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Linux 5.8.0 Linux 5.9 Git Linux 5.8.0 Confirmation 50K 100K 150K 200K 250K SE +/- 163.95, N = 3 SE +/- 209.87, N = 3 215503 216606 216850
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Linux 5.8.0 Linux 5.9 Git Linux 5.8.0 Confirmation 50K 100K 150K 200K 250K SE +/- 98.10, N = 3 SE +/- 67.35, N = 3 SE +/- 118.67, N = 3 251885 253775 254238
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Linux 5.8.0 Linux 5.9 Git Linux 5.8.0 Confirmation 40K 80K 120K 160K 200K SE +/- 137.61, N = 3 SE +/- 241.10, N = 3 SE +/- 61.73, N = 3 177838 178295 178637
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Linux 5.8.0 Linux 5.9 Git Linux 5.8.0 Confirmation 40K 80K 120K 160K 200K SE +/- 219.54, N = 3 SE +/- 36.54, N = 3 SE +/- 145.75, N = 3 173209 173927 173965
ECP-CANDLE Benchmark: P1B2 OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P1B2 Linux 5.8.0 Confirmation Linux 5.8.0 Linux 5.9 Git 9 18 27 36 45 37.50 37.60 38.78
Phoronix Test Suite v10.8.4