sss

AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 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 2209043-PTS-SSS1157922
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:

Timed Code Compilation 5 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 2 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 8 Tests
Programmer / Developer System Benchmarks 5 Tests
Python Tests 2 Tests
Server CPU Tests 2 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
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
A
September 03 2022
  5 Hours, 43 Minutes
B
September 04 2022
  1 Hour, 31 Minutes
C
September 04 2022
  1 Hour, 29 Minutes
D
September 04 2022
  1 Hour, 28 Minutes
Invert Hiding All Results Option
  2 Hours, 33 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):

sss AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 via the Phoronix Test Suite. A: Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 B: Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 C: Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 D: Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765 OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.45 |=================================================================== B . 1.43 |================================================================== C . 1.46 |==================================================================== D . 1.49 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better A . 0.99 |==================================================================== B . 0.99 |==================================================================== C . 1.01 |===================================================================== D . 1.01 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better A . 0.97 |=================================================================== B . 0.98 |==================================================================== C . 0.99 |==================================================================== D . 1.00 |===================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better A . 124.43 |================================================================= B . 125.33 |================================================================== C . 127.40 |=================================================================== D . 128.19 |=================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 3.35 |=================================================================== B . 3.35 |=================================================================== C . 3.38 |==================================================================== D . 3.43 |===================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 209.35 |================================================================= B . 212.74 |=================================================================== C . 213.68 |=================================================================== D . 214.22 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better A . 157.97 |================================================================== B . 158.50 |================================================================== C . 159.06 |================================================================== D . 160.26 |=================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better A . 17.94 |=================================================================== B . 18.01 |==================================================================== C . 18.07 |==================================================================== D . 18.11 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 333.97 |================================================================== B . 336.33 |================================================================== C . 336.84 |================================================================== D . 339.75 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better A . 215.16 |================================================================= B . 213.75 |================================================================ C . 214.30 |================================================================ D . 223.22 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better A . 4352.27 |================================================================ B . 4453.44 |================================================================== C . 4427.36 |================================================================== D . 4456.77 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better A . 8485.15 |================================================================= B . 8596.39 |================================================================== C . 8614.09 |================================================================== D . 8651.50 |================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better A . 2.1 |=================================================================== B . 2.2 |====================================================================== C . 2.2 |====================================================================== D . 2.1 |=================================================================== GravityMark 1.70 Resolution: 1600 x 1200 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 34.7 |================================================================== B . 36.4 |===================================================================== C . 36.1 |==================================================================== D . 36.5 |===================================================================== GravityMark 1.70 Resolution: 1920 x 1080 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 31.3 |================================================================== B . 31.9 |==================================================================== C . 31.7 |=================================================================== D . 32.5 |===================================================================== GravityMark 1.70 Resolution: 1920 x 1200 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 30.9 |=================================================================== B . 30.8 |=================================================================== C . 31.2 |=================================================================== D . 31.9 |===================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better A . 52136 |=================================================================== B . 51004 |================================================================= C . 51734 |================================================================== D . 53201 |==================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better A . 46295 |================================================================== B . 45028 |================================================================ C . 46216 |================================================================= D . 47987 |==================================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better A . 12.11 |================================================================== B . 12.52 |==================================================================== C . 11.93 |================================================================= D . 11.92 |================================================================= Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better A . 1.947 |================================================================== B . 1.991 |==================================================================== C . 1.932 |================================================================== D . 1.934 |================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better A . 3.549 |================================================================== B . 3.665 |==================================================================== C . 3.475 |================================================================ D . 3.448 |================================================================ Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better A . 27.37 |=================================================================== B . 27.81 |==================================================================== C . 26.98 |================================================================== D . 26.77 |================================================================= Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better A . 6.817 |================================================================ B . 7.187 |==================================================================== C . 6.706 |=============================================================== D . 6.639 |=============================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better A . 3.150 |================================================================= B . 3.294 |==================================================================== C . 3.102 |================================================================ D . 3.065 |=============================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 3.087 |================================================================== B . 3.169 |==================================================================== C . 3.031 |================================================================= D . 3.005 |================================================================ Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better A . 37.79 |================================================================== B . 38.92 |==================================================================== C . 37.20 |================================================================= D . 36.94 |================================================================= OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better A . 2763.26 |================================================================= B . 2787.01 |================================================================== C . 2727.69 |================================================================= D . 2689.39 |================================================================ OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better A . 4034.77 |================================================================== B . 4019.29 |================================================================== C . 3971.69 |================================================================= D . 3938.80 |================================================================ OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better A . 4116.85 |================================================================== B . 4073.57 |================================================================= C . 4021.72 |================================================================ D . 3993.78 |================================================================ OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better A . 32.10 |==================================================================== B . 31.87 |==================================================================== C . 31.36 |================================================================== D . 31.16 |================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 1193.54 |================================================================== B . 1192.20 |================================================================== C . 1183.40 |================================================================= D . 1166.07 |================================================================ OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 19.08 |==================================================================== B . 18.78 |=================================================================== C . 18.70 |=================================================================== D . 18.65 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better A . 25.27 |==================================================================== B . 25.18 |==================================================================== C . 25.10 |==================================================================== D . 24.92 |=================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better A . 222.80 |=================================================================== B . 222.02 |=================================================================== C . 221.33 |=================================================================== D . 220.85 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 23.88 |==================================================================== B . 23.71 |==================================================================== C . 23.67 |=================================================================== D . 23.47 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better A . 18.55 |==================================================================== B . 18.66 |==================================================================== C . 18.62 |==================================================================== D . 17.87 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better A . 1.79 |===================================================================== B . 1.74 |=================================================================== C . 1.76 |==================================================================== D . 1.74 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better A . 0.93 |===================================================================== B . 0.91 |==================================================================== C . 0.91 |==================================================================== D . 0.91 |==================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better A . 967.88 |================================================================ B . 1001.85 |================================================================== C . 972.31 |================================================================ D . 944.06 |============================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better A . 87.01 |================================================================= B . 90.52 |==================================================================== C . 88.43 |================================================================== D . 87.09 |================================================================= Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better A . 22.97 |================================================================= B . 23.96 |==================================================================== C . 23.29 |================================================================== D . 22.70 |================================================================ Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better A . 278.43 |================================================================= B . 286.48 |=================================================================== C . 279.95 |================================================================= D . 277.96 |================================================================= Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better A . 119.12 |================================================================ B . 125.36 |=================================================================== C . 119.43 |================================================================ D . 119.39 |================================================================ Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better A . 94.16 |================================================================== B . 97.36 |==================================================================== C . 94.02 |================================================================== D . 93.04 |=================================================================