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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

CPU Massive 2 Tests
NVIDIA GPU Compute 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
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
Invert Hiding All Results Option
  1 Hour, 4 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

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. 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 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 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 \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 Blender 2.90 Blend File: BMW27 - Compute: CUDA Seconds < Lower Is Better RTX 3080 . 25.89 |============================================================= 2 ........ 25.97 |============================================================= \3 ....... 25.95 |============================================================= Blender 2.90 Blend File: Classroom - Compute: CUDA Seconds < Lower Is Better RTX 3080 . 68.23 |============================================================= 2 ........ 68.33 |============================================================= \3 ....... 68.24 |============================================================= Blender 2.90 Blend File: Fishy Cat - Compute: CUDA Seconds < Lower Is Better RTX 3080 . 47.40 |============================================================= 2 ........ 47.14 |============================================================= \3 ....... 47.16 |============================================================= Blender 2.90 Blend File: Barbershop - Compute: CUDA Seconds < Lower Is Better RTX 3080 . 285.62 |============================================================ 2 ........ 286.37 |============================================================ \3 ....... 285.34 |============================================================ Blender 2.90 Blend File: BMW27 - Compute: NVIDIA OptiX Seconds < Lower Is Better RTX 3080 . 11.94 |============================================================= 2 ........ 11.93 |============================================================= \3 ....... 11.93 |============================================================= Blender 2.90 Blend File: Classroom - Compute: NVIDIA OptiX Seconds < Lower Is Better RTX 3080 . 37.88 |============================================================= 2 ........ 37.94 |============================================================= \3 ....... 37.91 |============================================================= Blender 2.90 Blend File: Fishy Cat - Compute: NVIDIA OptiX Seconds < Lower Is Better RTX 3080 . 21.95 |============================================================= 2 ........ 21.97 |============================================================= \3 ....... 21.97 |============================================================= Blender 2.90 Blend File: Barbershop - Compute: NVIDIA OptiX Seconds < Lower Is Better RTX 3080 . 416.12 |============================================================ 2 ........ 419.18 |============================================================ \3 ....... 415.97 |============================================================ Blender 2.90 Blend File: Pabellon Barcelona - Compute: CUDA Seconds < Lower Is Better RTX 3080 . 176.74 |============================================================ 2 ........ 175.89 |============================================================ \3 ....... 175.85 |============================================================ Blender 2.90 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX Seconds < Lower Is Better RTX 3080 . 54.81 |============================================================= 2 ........ 54.77 |============================================================= \3 ....... 54.76 |============================================================= FAHBench 2.3.2 Ns Per Day > Higher Is Better GeForce RTX 3080 . 316.62 |==================================================== 2 ................ 317.20 |==================================================== \3 ............... 317.29 |==================================================== OctaneBench 2020.1 Total Score Score > Higher Is Better GeForce RTX 3080 . 563.15 |==================================================== 2 ................ 563.83 |==================================================== \3 ............... 561.98 |==================================================== PlaidML FP16: No - Mode: Training - Network: VGG16 - Device: OpenCL FPS > Higher Is Better RTX 3080 . 47.42 |============================================================= 2 ........ 47.65 |============================================================= PlaidML FP16: No - Mode: Training - Network: VGG19 - Device: OpenCL FPS > Higher Is Better RTX 3080 . 40.77 |============================================================= \3 ....... 40.76 |============================================================= PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL FPS > Higher Is Better RTX 3080 . 280.08 |============================================================ 2 ........ 279.96 |============================================================ \3 ....... 280.15 |============================================================ PlaidML FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL FPS > Higher Is Better RTX 3080 . 223.42 |============================================================ 2 ........ 223.48 |============================================================ \3 ....... 223.70 |============================================================ PlaidML FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL FPS > Higher Is Better RTX 3080 . 241.25 |============================================================ 2 ........ 240.36 |============================================================ \3 ....... 240.61 |============================================================ PlaidML FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL FPS > Higher Is Better RTX 3080 . 1010.77 |=========================================================== 2 ........ 1009.31 |=========================================================== \3 ....... 1015.96 |=========================================================== PlaidML FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL FPS > Higher Is Better RTX 3080 . 3051.48 |=========================================================== 2 ........ 3050.89 |=========================================================== \3 ....... 3061.40 |=========================================================== PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL FPS > Higher Is Better RTX 3080 . 724.51 |============================================================ 2 ........ 723.99 |============================================================ \3 ....... 727.84 |============================================================ PlaidML FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL FPS > Higher Is Better RTX 3080 . 3546.08 |=========================================================== 2 ........ 3544.18 |=========================================================== \3 ....... 3543.34 |=========================================================== PlaidML FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL FPS > Higher Is Better RTX 3080 . 259.51 |============================================================ 2 ........ 258.72 |============================================================ \3 ....... 259.18 |============================================================ PlaidML FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL FPS > Higher Is Better RTX 3080 . 397.43 |============================================================ 2 ........ 396.66 |============================================================ \3 ....... 397.36 |============================================================ PlaidML FP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCL FPS > Higher Is Better RTX 3080 . 79.45 |============================================================= 2 ........ 79.20 |============================================================= \3 ....... 79.38 |=============================================================