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
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"
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,1.63,1.6
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,17.36,17.3
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,17.13,17.25
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,126.89,124.95
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,3.38,3.39
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,417.22,419.31
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,34.8,33.95
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,208.86,206.72
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,155.37,155.04
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,696.12,694.99
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,93.55,97.58
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,19.89,19.69
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,337.58,337.06
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,229.23,230.4
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,50.87,50.86
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,4661.04,4616.29
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,56.76,55.1
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,8912.66,8915.07
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,11.8956,11.5472
"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: 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: 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: 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: 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: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,10.1005,10.1159
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,24.8878,25.3937
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,20.0724,20.4363
"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: c2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,5.68972,5.57241
"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
"QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,21663,22034.3
"QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3531.9,3614.2
"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
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,2448.14,2488.61
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,230.2,230.98
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,233.4,231.58
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,31.48,31.97
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1178.05,1178.52
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,9.55,9.5
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,114.79,117.68
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,19.12,19.32
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,25.71,25.76
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.73,5.74
"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 (ms)",LIB,200.88,202.92
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,23.62,23.67
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,17.41,17.32
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,157.11,157.23
"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 (ms)",LIB,140.78,145.05
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.88,0.88
"CloverLeaf - Input: clover_bm (sec)",LIB,138.42,138.45
"CloverLeaf - Input: clover_bm16 (sec)",LIB,2345.329100132,2340.02
"CloverLeaf - Input: clover_bm64_short (sec)",LIB,282.24,281.41
"Timed Gem5 Compilation - Time To Compile (sec)",LIB,840.102,839.578
"DuckDB - Benchmark: IMDB (sec)",LIB,,
"DuckDB - Benchmark: TPC-H Parquet (sec)",LIB,,
"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