plaidml-blender-for-geforce-rtx-3080

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and NVIDIA GeForce RTX 3080 10GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010065-PTS-PLAIDMLB85
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RTX 3080
October 06 2020
  1 Hour, 15 Minutes
GeForce RTX 3080
October 06 2020
  13 Minutes
2
October 06 2020
  1 Hour, 23 Minutes
\3
October 06 2020
  1 Hour, 23 Minutes
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RTX 3080

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce RTX 3080 10GB (1710/9501MHz), Audio: NVIDIA Device 1aef, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 455.23.05, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.70, Vulkan: 1.2.142, Compiler: GCC 9.3.0 + CUDA 11.1, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 8704
Python Notes: Python 3.8.2
Security Notes: 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

GeForce RTX 3080

Changed Graphics to NVIDIA GeForce RTX 3080 10GB (315/405MHz).

2

Changed Graphics to NVIDIA GeForce RTX 3080 10GB (450/810MHz).

\3

Changed Graphics to NVIDIA GeForce RTX 3080 10GB (360/405MHz).

plaidml-blender-for-geforce-rtx-3080 ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionRTX 3080GeForce RTX 30802\3AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS)AMD Starship/Matisse16GB2000GB Corsair Force MP600 + 2000GBNVIDIA GeForce RTX 3080 10GB (1710/9501MHz)NVIDIA Device 1aefDELL P2415QRealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-48-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8NVIDIA 455.23.054.6.0OpenCL 1.2 CUDA 11.1.701.2.142GCC 9.3.0 + CUDA 11.1ext43840x2160NVIDIA GeForce RTX 3080 10GB (315/405MHz)NVIDIA GeForce RTX 3080 10GB (450/810MHz)NVIDIA GeForce RTX 3080 10GB (360/405MHz)OpenBenchmarking.orgProcessor Details- Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013OpenCL Details- GPU Compute Cores: 8704Python Details- RTX 3080, 2, \3: Python 3.8.2Security 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

plaidml-blender-for-geforce-rtx-3080 plaidml: No - Training - VGG16 - OpenCLplaidml: No - Training - VGG19 - OpenCLplaidml: No - Inference - VGG16 - OpenCLplaidml: No - Inference - VGG19 - OpenCLplaidml: No - Training - Mobilenet - OpenCLplaidml: No - Inference - IMDB LSTM - OpenCLplaidml: No - Inference - Mobilenet - OpenCLplaidml: No - Inference - ResNet 50 - OpenCLplaidml: Yes - Inference - Mobilenet - OpenCLplaidml: No - Inference - DenseNet 201 - OpenCLplaidml: No - Inference - Inception V3 - OpenCLplaidml: No - Inference - NASNer Large - OpenCLblender: BMW27 - CUDAblender: Classroom - CUDAblender: Fishy Cat - CUDAblender: Barbershop - CUDAblender: BMW27 - NVIDIA OptiXblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CUDAblender: Pabellon Barcelona - NVIDIA OptiXoctanebench: Total Scorefahbench: RTX 3080GeForce RTX 30802\347.4240.77280.08223.42241.251010.773051.48724.513546.08259.51397.4379.4525.8968.2347.40285.6211.9437.8821.95416.12176.7454.81563.14729316.618047.65279.96223.48240.361009.313050.89723.993544.18258.72396.6679.2025.9768.3347.14286.3711.9337.9421.97419.18175.8954.77563.828369317.197440.76280.15223.70240.611015.963061.4727.843543.34259.18397.3679.3825.9568.2447.16285.3411.9337.9121.97415.97175.8554.76561.981398317.2851OpenBenchmarking.org

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: VGG16 - Device: OpenCLRTX 308021122334455SE +/- 0.20, N = 247.4247.65
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: VGG16 - Device: OpenCLRTX 308021020304050Min: 47.22 / Avg: 47.42 / Max: 47.61

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: VGG19 - Device: OpenCLRTX 3080\391827364540.7740.76

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLRTX 30802\360120180240300SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.13, N = 3280.08279.96280.15
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: OpenCLRTX 30802\350100150200250Min: 280.02 / Avg: 280.08 / Max: 280.16Min: 279.51 / Avg: 279.96 / Max: 280.25Min: 280.02 / Avg: 280.15 / Max: 280.42

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLRTX 30802\350100150200250SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.29, N = 3223.42223.48223.70
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: OpenCLRTX 30802\34080120160200Min: 223.23 / Avg: 223.42 / Max: 223.71Min: 223.26 / Avg: 223.48 / Max: 223.79Min: 223.35 / Avg: 223.7 / Max: 224.27

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLRTX 30802\350100150200250SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3241.25240.36240.61
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: Mobilenet - Device: OpenCLRTX 30802\34080120160200Min: 241.01 / Avg: 241.25 / Max: 241.37Min: 240.26 / Avg: 240.36 / Max: 240.45Min: 240.37 / Avg: 240.61 / Max: 240.73

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLRTX 30802\32004006008001000SE +/- 2.40, N = 3SE +/- 0.91, N = 3SE +/- 1.86, N = 31010.771009.311015.96
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCLRTX 30802\32004006008001000Min: 1006.01 / Avg: 1010.77 / Max: 1013.62Min: 1007.49 / Avg: 1009.31 / Max: 1010.4Min: 1013.41 / Avg: 1015.96 / Max: 1019.59

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLRTX 30802\37001400210028003500SE +/- 1.29, N = 3SE +/- 3.22, N = 3SE +/- 2.79, N = 33051.483050.893061.40
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCLRTX 30802\35001000150020002500Min: 3048.9 / Avg: 3051.48 / Max: 3052.77Min: 3045.63 / Avg: 3050.89 / Max: 3056.75Min: 3058.4 / Avg: 3061.43 / Max: 3067

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLRTX 30802\3160320480640800SE +/- 1.44, N = 3SE +/- 0.75, N = 3SE +/- 1.65, N = 3724.51723.99727.84
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCLRTX 30802\3130260390520650Min: 722.02 / Avg: 724.51 / Max: 727.02Min: 722.55 / Avg: 723.99 / Max: 725.07Min: 724.58 / Avg: 727.84 / Max: 729.93

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLRTX 30802\38001600240032004000SE +/- 0.40, N = 3SE +/- 1.42, N = 3SE +/- 4.28, N = 33546.083544.183543.34
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCLRTX 30802\36001200180024003000Min: 3545.29 / Avg: 3546.08 / Max: 3546.48Min: 3541.9 / Avg: 3544.18 / Max: 3546.78Min: 3534.82 / Avg: 3543.34 / Max: 3548.34

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLRTX 30802\360120180240300SE +/- 0.05, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3259.51258.72259.18
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCLRTX 30802\350100150200250Min: 259.44 / Avg: 259.51 / Max: 259.6Min: 258.42 / Avg: 258.72 / Max: 259.24Min: 259.01 / Avg: 259.18 / Max: 259.48

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLRTX 30802\390180270360450SE +/- 0.69, N = 3SE +/- 0.47, N = 3SE +/- 0.56, N = 3397.43396.66397.36
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCLRTX 30802\370140210280350Min: 396.53 / Avg: 397.43 / Max: 398.79Min: 395.87 / Avg: 396.66 / Max: 397.51Min: 396.51 / Avg: 397.36 / Max: 398.42

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCLRTX 30802\320406080100SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 379.4579.2079.38
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCLRTX 30802\31530456075Min: 79.23 / Avg: 79.45 / Max: 79.66Min: 79.06 / Avg: 79.2 / Max: 79.41Min: 79.28 / Avg: 79.38 / Max: 79.49

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CUDARTX 30802\3612182430SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 325.8925.9725.95
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CUDARTX 30802\3612182430Min: 25.86 / Avg: 25.89 / Max: 25.91Min: 25.89 / Avg: 25.97 / Max: 26.09Min: 25.93 / Avg: 25.95 / Max: 25.97

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CUDARTX 30802\31530456075SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 368.2368.3368.24
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CUDARTX 30802\31326395265Min: 68.11 / Avg: 68.23 / Max: 68.31Min: 68.22 / Avg: 68.33 / Max: 68.4Min: 68.14 / Avg: 68.24 / Max: 68.29

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CUDARTX 30802\31122334455SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 347.4047.1447.16
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CUDARTX 30802\31020304050Min: 47.39 / Avg: 47.4 / Max: 47.4Min: 47.09 / Avg: 47.14 / Max: 47.19Min: 47.14 / Avg: 47.16 / Max: 47.2

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CUDARTX 30802\360120180240300SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 0.17, N = 3285.62286.37285.34
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CUDARTX 30802\350100150200250Min: 285.6 / Avg: 285.62 / Max: 285.64Min: 286.09 / Avg: 286.37 / Max: 286.83Min: 285.05 / Avg: 285.34 / Max: 285.63

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXRTX 30802\33691215SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 311.9411.9311.93
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiXRTX 30802\33691215Min: 11.89 / Avg: 11.94 / Max: 12.02Min: 11.88 / Avg: 11.93 / Max: 12.02Min: 11.89 / Avg: 11.93 / Max: 12.01

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXRTX 30802\3918273645SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 337.8837.9437.91
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiXRTX 30802\3816243240Min: 37.8 / Avg: 37.88 / Max: 37.95Min: 37.83 / Avg: 37.94 / Max: 38.01Min: 37.79 / Avg: 37.91 / Max: 38

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 30802\3510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 321.9521.9721.97
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiXRTX 30802\3510152025Min: 21.94 / Avg: 21.95 / Max: 21.96Min: 21.95 / Avg: 21.97 / Max: 22Min: 21.96 / Avg: 21.97 / Max: 21.98

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiXRTX 30802\390180270360450SE +/- 3.50, N = 3SE +/- 0.29, N = 3SE +/- 3.40, N = 3416.12419.18415.97
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiXRTX 30802\370140210280350Min: 409.12 / Avg: 416.12 / Max: 419.63Min: 418.62 / Avg: 419.18 / Max: 419.6Min: 409.17 / Avg: 415.97 / Max: 419.43

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CUDARTX 30802\34080120160200SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3176.74175.89175.85
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CUDARTX 30802\3306090120150Min: 176.7 / Avg: 176.74 / Max: 176.76Min: 175.88 / Avg: 175.89 / Max: 175.91Min: 175.81 / Avg: 175.85 / Max: 175.87

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 30802\31224364860SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 354.8154.7754.76
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXRTX 30802\31122334455Min: 54.79 / Avg: 54.81 / Max: 54.83Min: 54.76 / Avg: 54.77 / Max: 54.78Min: 54.74 / Avg: 54.76 / Max: 54.77

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreGeForce RTX 30802\3120240360480600563.15563.83561.98

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GeForce RTX 30802\370140210280350SE +/- 0.37, N = 3SE +/- 0.33, N = 3SE +/- 0.25, N = 3316.62317.20317.29
OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2GeForce RTX 30802\360120180240300Min: 315.98 / Avg: 316.62 / Max: 317.26Min: 316.56 / Avg: 317.2 / Max: 317.66Min: 316.89 / Avg: 317.29 / Max: 317.75

RTX 3080

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce RTX 3080 10GB (1710/9501MHz), Audio: NVIDIA Device 1aef, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 455.23.05, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.70, Vulkan: 1.2.142, Compiler: GCC 9.3.0 + CUDA 11.1, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 8704
Python Notes: Python 3.8.2
Security Notes: 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

Testing initiated at 6 October 2020 12:18 by user pts.

GeForce RTX 3080

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce RTX 3080 10GB (315/405MHz), Audio: NVIDIA Device 1aef, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 455.23.05, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.70, Vulkan: 1.2.142, Compiler: GCC 9.3.0 + CUDA 11.1, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 8704
Security Notes: 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

Testing initiated at 6 October 2020 14:09 by user pts.

2

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce RTX 3080 10GB (450/810MHz), Audio: NVIDIA Device 1aef, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 455.23.05, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.70, Vulkan: 1.2.142, Compiler: GCC 9.3.0 + CUDA 11.1, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 8704
Python Notes: Python 3.8.2
Security Notes: 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

Testing initiated at 6 October 2020 14:28 by user pts.

\3

Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: NVIDIA GeForce RTX 3080 10GB (360/405MHz), Audio: NVIDIA Device 1aef, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 455.23.05, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.70, Vulkan: 1.2.142, Compiler: GCC 9.3.0 + CUDA 11.1, File-System: ext4, Screen Resolution: 3840x2160

Processor Notes: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8701013
OpenCL Notes: GPU Compute Cores: 8704
Python Notes: Python 3.8.2
Security Notes: 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

Testing initiated at 6 October 2020 16:03 by user pts.