3300X New Updates AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009015-FI-3300XNEWU47&sro&grr .
3300X New Updates Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution 3300X 1 Run 2 Run 3 AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads) MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) AMD Starship/Matisse 8GB 256GB INTEL SSDPEKKW256G7 AMD FirePro V3800 512MB AMD Redwood HDMI Audio VA2431 Realtek RTL8111/8168/8411 Ubuntu 20.04 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818 GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 3.3 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
3300X New Updates namd: ATPase Simulation - 327,506 Atoms tensorflow-lite: Inception V4 tensorflow-lite: Inception ResNet V2 tensorflow-lite: SqueezeNet tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant 3300X 1 Run 2 Run 3 4.30178 5276443 4779063 365433 261804 246405 253504 4.28738 5276950 4779433 365424 261745 246351 253377 4.29530 5277420 4779617 365515 261601 246358 253511 OpenBenchmarking.org
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms 3300X 1 Run 2 Run 3 0.9679 1.9358 2.9037 3.8716 4.8395 SE +/- 0.01571, N = 3 SE +/- 0.00720, N = 3 SE +/- 0.00664, N = 3 4.30178 4.28738 4.29530
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 3300X 1 Run 2 Run 3 1.1M 2.2M 3.3M 4.4M 5.5M SE +/- 241.82, N = 3 SE +/- 883.91, N = 3 SE +/- 368.65, N = 3 5276443 5276950 5277420
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 3300X 1 Run 2 Run 3 1000K 2000K 3000K 4000K 5000K SE +/- 117.24, N = 3 SE +/- 507.49, N = 3 SE +/- 460.88, N = 3 4779063 4779433 4779617
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet 3300X 1 Run 2 Run 3 80K 160K 240K 320K 400K SE +/- 84.00, N = 3 SE +/- 132.67, N = 3 SE +/- 23.73, N = 3 365433 365424 365515
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile 3300X 1 Run 2 Run 3 60K 120K 180K 240K 300K SE +/- 77.62, N = 3 SE +/- 10.73, N = 3 SE +/- 54.03, N = 3 261804 261745 261601
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float 3300X 1 Run 2 Run 3 50K 100K 150K 200K 250K SE +/- 134.04, N = 3 SE +/- 33.87, N = 3 SE +/- 43.94, N = 3 246405 246351 246358
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant 3300X 1 Run 2 Run 3 50K 100K 150K 200K 250K SE +/- 21.18, N = 3 SE +/- 101.44, N = 3 SE +/- 86.95, N = 3 253504 253377 253511
Phoronix Test Suite v10.8.5