6850u tests

AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Fedora Linux 39 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 2311037-NE-6850UTEST76
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:

C++ Boost Tests 3 Tests
Creator Workloads 2 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 3 Tests
Multi-Core 3 Tests
Intel oneAPI 2 Tests
OpenMPI Tests 3 Tests
Python Tests 3 Tests
Scientific Computing 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
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
November 03 2023
  3 Hours, 26 Minutes
b
November 03 2023
  3 Hours, 24 Minutes
Invert Hiding All Results Option
  3 Hours, 25 Minutes
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):

6850u tests AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Fedora Linux 39 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads),AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads) Motherboard,,LENOVO 21CM0001US (R22ET51W 1.21 BIOS),LENOVO 21CM0001US (R22ET51W 1.21 BIOS) Chipset,,AMD 17h-19h PCIe Root Complex,AMD 17h-19h PCIe Root Complex Memory,,16GB,16GB Disk,,512GB Micron MTFDKBA512TFK,512GB Micron MTFDKBA512TFK Graphics,,AMD Radeon 680M 1GB,AMD Radeon 680M 1GB Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio Network,,Qualcomm QCNFA765,Qualcomm QCNFA765 OS,,Fedora Linux 39,Fedora Linux 39 Kernel,,6.5.7-300.fc39.x86_64 (x86_64),6.5.7-300.fc39.x86_64 (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 23.2.1 (LLVM 16.0.6 DRM 3.54),4.6 Mesa 23.2.1 (LLVM 16.0.6 DRM 3.54) Compiler,,GCC 13.2.1 20230918,GCC 13.2.1 20230918 File-System,,btrfs,btrfs Screen Resolution,,1920x1200,1920x1200 ,,"a","b" "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,10.1005,10.1159 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,21663,22034.3 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,10.0617,9.99247 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,10.1223,10.2139 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,5.24873,5.27909 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,5.44098,5.45223 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,32.3154,32.59 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,19.2052,19.16 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,10.1466,10.0117 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,11.8956,11.5472 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3531.9,3614.2 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,10.7473,10.8705 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,24.8878,25.3937 "CloverLeaf - Input: clover_bm (sec)",LIB,138.42,138.45 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,10.1074,10.2552 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,11.0663,11.0968 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,5.68972,5.57241 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,4.75957,4.76864 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,20.0724,20.4363 "CloverLeaf - Input: clover_bm16 (sec)",LIB,2345.329100132,2340.02 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,282.24,281.41 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,1.63,1.6 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,2448.14,2488.61 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,17.36,17.3 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,230.2,230.98 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,17.13,17.25 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,233.4,231.58 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,126.89,124.95 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,31.48,31.97 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,3.38,3.39 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1178.05,1178.52 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,417.22,419.31 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,9.55,9.5 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,34.8,33.95 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,114.79,117.68 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,208.86,206.72 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,19.12,19.32 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,155.37,155.04 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,25.71,25.76 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,696.12,694.99 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.73,5.74 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,93.55,97.58 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,42.7,40.94 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,19.89,19.69 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,200.88,202.92 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,337.58,337.06 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,23.62,23.67 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,229.23,230.4 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,17.41,17.32 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,50.87,50.86 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,157.11,157.23 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,4661.04,4616.29 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.68,1.69 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,56.76,55.1 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,140.78,145.05 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,8912.66,8915.07 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.88,0.88 "QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,40.11,39.96 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,384.28,388.15 "QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,134.32,135.13 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,32.824,32.773 "QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,227.57,227.9 "QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,203.99,204.11 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,21477,21497 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,21788,21754 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,25281,25286 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,348642,348837 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,694665,696014 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,351236,352232 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,701548,705482 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,411212,410009 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,818094,818864 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,5429,5429 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,5467,5469 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6369,6403 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,90211,90739 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,177237,177076 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,91175,91893 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,178859,179357 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,105911,105870 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,207577,209099 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,840.102,839.578 "DuckDB - Benchmark: IMDB (sec)",LIB,, "DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,,