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:
Processor: AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD 17h-19h PCIe Root Complex, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB, Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765
OS: Fedora Linux 39, Kernel: 6.5.7-300.fc39.x86_64 (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1 (LLVM 16.0.6 DRM 3.54), Compiler: GCC 13.2.1 20230918, File-System: btrfs, Screen Resolution: 1920x1200
b:
Processor: AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD 17h-19h PCIe Root Complex, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB, Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765
OS: Fedora Linux 39, Kernel: 6.5.7-300.fc39.x86_64 (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1 (LLVM 16.0.6 DRM 3.54), Compiler: GCC 13.2.1 20230918, File-System: btrfs, Screen Resolution: 1920x1200
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 1.63 |=====================================================================
b . 1.60 |====================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 17.36 |====================================================================
b . 17.30 |====================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 17.13 |====================================================================
b . 17.25 |====================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 126.89 |===================================================================
b . 124.95 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 3.38 |=====================================================================
b . 3.39 |=====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 417.22 |===================================================================
b . 419.31 |===================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
a . 34.80 |====================================================================
b . 33.95 |==================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 208.86 |===================================================================
b . 206.72 |==================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 155.37 |===================================================================
b . 155.04 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 696.12 |===================================================================
b . 694.99 |===================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 93.55 |=================================================================
b . 97.58 |====================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
a . 19.89 |====================================================================
b . 19.69 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 337.58 |===================================================================
b . 337.06 |===================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 229.23 |===================================================================
b . 230.40 |===================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
FPS > Higher Is Better
a . 50.87 |====================================================================
b . 50.86 |====================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
a . 4661.04 |==================================================================
b . 4616.29 |=================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 56.76 |====================================================================
b . 55.10 |==================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 8912.66 |==================================================================
b . 8915.07 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 11.90 |====================================================================
b . 11.55 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 10.15 |====================================================================
b . 10.01 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 32.32 |===================================================================
b . 32.59 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 19.21 |====================================================================
b . 19.16 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 5.24873 |==================================================================
b . 5.27909 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 5.44098 |==================================================================
b . 5.45223 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 10.06170 |=================================================================
b . 9.99247 |=================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 10.12 |===================================================================
b . 10.21 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 10.75 |===================================================================
b . 10.87 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 10.10 |====================================================================
b . 10.12 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 24.89 |===================================================================
b . 25.39 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 20.07 |===================================================================
b . 20.44 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 4.75957 |==================================================================
b . 4.76864 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: c2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 5.68972 |==================================================================
b . 5.57241 |=================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 10.11 |===================================================================
b . 10.26 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.4
Test: r2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 11.07 |====================================================================
b . 11.10 |====================================================================
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
a . 21663.0 |=================================================================
b . 22034.3 |==================================================================
QuantLib 1.32
Configuration: Single-Threaded
MFLOPS > Higher Is Better
a . 3531.9 |=================================================================
b . 3614.2 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 21477 |====================================================================
b . 21497 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 21788 |====================================================================
b . 21754 |====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 25281 |====================================================================
b . 25286 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 348642 |===================================================================
b . 348837 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 694665 |===================================================================
b . 696014 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 351236 |===================================================================
b . 352232 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 701548 |===================================================================
b . 705482 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 411212 |===================================================================
b . 410009 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 818094 |===================================================================
b . 818864 |===================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 5429 |=====================================================================
b . 5429 |=====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 5467 |=====================================================================
b . 5469 |=====================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 6369 |=====================================================================
b . 6403 |=====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 90211 |====================================================================
b . 90739 |====================================================================
OSPRay Studio 0.13
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 177237 |===================================================================
b . 177076 |===================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 91175 |===================================================================
b . 91893 |====================================================================
OSPRay Studio 0.13
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 178859 |===================================================================
b . 179357 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 105911 |===================================================================
b . 105870 |===================================================================
OSPRay Studio 0.13
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
ms < Lower Is Better
a . 207577 |===================================================================
b . 209099 |===================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 2448.14 |=================================================================
b . 2488.61 |==================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 230.20 |===================================================================
b . 230.98 |===================================================================
OpenVINO 2023.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 233.40 |===================================================================
b . 231.58 |==================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 31.48 |===================================================================
b . 31.97 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 1178.05 |==================================================================
b . 1178.52 |==================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
a . 9.55 |=====================================================================
b . 9.50 |=====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
a . 114.79 |=================================================================
b . 117.68 |===================================================================
OpenVINO 2023.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 19.12 |===================================================================
b . 19.32 |====================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
a . 25.71 |====================================================================
b . 25.76 |====================================================================
OpenVINO 2023.2.dev
Model: Face Detection Retail FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 5.73 |=====================================================================
b . 5.74 |=====================================================================
OpenVINO 2023.2.dev
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 42.70 |====================================================================
b . 40.94 |=================================================================
OpenVINO 2023.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
a . 200.88 |==================================================================
b . 202.92 |===================================================================
OpenVINO 2023.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 23.62 |====================================================================
b . 23.67 |====================================================================
OpenVINO 2023.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
a . 17.41 |====================================================================
b . 17.32 |====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16 - Device: CPU
ms < Lower Is Better
a . 157.11 |===================================================================
b . 157.23 |===================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
a . 1.68 |=====================================================================
b . 1.69 |=====================================================================
OpenVINO 2023.2.dev
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 140.78 |=================================================================
b . 145.05 |===================================================================
OpenVINO 2023.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 0.88 |=====================================================================
b . 0.88 |=====================================================================
CloverLeaf 1.3
Input: clover_bm
Seconds < Lower Is Better
a . 138.42 |===================================================================
b . 138.45 |===================================================================
CloverLeaf 1.3
Input: clover_bm16
Seconds < Lower Is Better
a . 2345.33 |==================================================================
b . 2340.02 |==================================================================
CloverLeaf 1.3
Input: clover_bm64_short
Seconds < Lower Is Better
a . 282.24 |===================================================================
b . 281.41 |===================================================================
Timed Gem5 Compilation 23.0.1
Time To Compile
Seconds < Lower Is Better
a . 840.10 |===================================================================
b . 839.58 |===================================================================
DuckDB 0.9.1
Benchmark: IMDB
Seconds < Lower Is Better
DuckDB 0.9.1
Benchmark: TPC-H Parquet
Seconds < Lower Is Better
QMCPACK 3.17.1
Input: H4_ae
Total Execution Time - Seconds < Lower Is Better
a . 40.11 |====================================================================
b . 39.96 |====================================================================
QMCPACK 3.17.1
Input: Li2_STO_ae
Total Execution Time - Seconds < Lower Is Better
a . 384.28 |==================================================================
b . 388.15 |===================================================================
QMCPACK 3.17.1
Input: LiH_ae_MSD
Total Execution Time - Seconds < Lower Is Better
a . 134.32 |===================================================================
b . 135.13 |===================================================================
QMCPACK 3.17.1
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
a . 32.82 |====================================================================
b . 32.77 |====================================================================
QMCPACK 3.17.1
Input: O_ae_pyscf_UHF
Total Execution Time - Seconds < Lower Is Better
a . 227.57 |===================================================================
b . 227.90 |===================================================================
QMCPACK 3.17.1
Input: FeCO6_b3lyp_gms
Total Execution Time - Seconds < Lower Is Better
a . 203.99 |===================================================================
b . 204.11 |===================================================================