dg AMD Ryzen 7 7840U testing with a PHX Ray_PEU (V1.04 BIOS) and AMD Phoenix1 512MB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.10, Kernel: 6.5.0-with-patch2 (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.3~git2309080600.fd297e~oibaf~m (git-fd297ec 2023-09-08 mantic-oibaf-ppa) (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3200x2000 b: Processor: AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads), Motherboard: PHX Ray_PEU (V1.04 BIOS), Chipset: AMD Device 14e8, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: AMD Phoenix1 512MB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.10, Kernel: 6.5.0-with-patch2 (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.3~git2309080600.fd297e~oibaf~m (git-fd297ec 2023-09-08 mantic-oibaf-ppa) (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3200x2000 CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 124.69 |=================================================================== b . 123.97 |=================================================================== CloverLeaf 1.3 Input: clover_bm16 Seconds < Lower Is Better a . 2074.51 |================================================================== b . 2058.64 |================================================================= CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 246.59 |=================================================================== b . 244.64 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 11.61 |=================================================================== b . 11.86 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 10.51 |==================================================================== b . 10.54 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 12.13 |=================================================================== b . 12.30 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 30.43 |================================================================= b . 31.83 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 20.08 |==================================================================== b . 20.17 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 22.18 |=================================================================== b . 22.50 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 5.15932 |================================================================ b . 5.28318 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 5.59240 |================================================================== b . 5.62815 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 10.59 |==================================================================== b . 10.47 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 10.86 |==================================================================== b . 10.87 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 12.40 |==================================================================== b . 12.26 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 10.96 |==================================================================== b . 10.80 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 10.33 |==================================================================== b . 10.39 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 12.00 |==================================================================== b . 11.96 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 GFLOP/s > Higher Is Better a . 29.03 |=============================================================== b . 31.43 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 GFLOP/s > Higher Is Better a . 21.48 |==================================================================== b . 21.44 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 GFLOP/s > Higher Is Better a . 23.99 |==================================================================== b . 23.76 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 5.06655 |================================================================== b . 5.09876 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 5.72729 |================================================================== b . 5.70883 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 GFLOP/s > Higher Is Better a . 11.16 |=================================================================== b . 11.25 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 GFLOP/s > Higher Is Better a . 11.21 |==================================================================== b . 11.26 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 GFLOP/s > Higher Is Better a . 12.77 |==================================================================== b . 12.71 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 11.30 |================================================================= b . 11.83 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 10.66 |=================================================================== b . 10.76 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 12.33 |==================================================================== b . 12.37 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 32.84 |==================================================================== b . 31.55 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 20.19 |==================================================================== b . 20.05 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 22.60 |==================================================================== b . 22.63 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 5.19930 |================================================================== b . 5.17519 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 5.57199 |================================================================== b . 5.53296 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 GFLOP/s > Higher Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 10.63 |=================================================================== b . 10.80 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 10.88 |==================================================================== b . 10.78 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 12.23 |=================================================================== b . 12.36 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 10.90 |==================================================================== b . 10.98 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 10.47 |==================================================================== b . 10.39 |=================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 11.84 |=================================================================== b . 11.98 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 28.44 |=============================================================== b . 30.84 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 21.30 |=================================================================== b . 21.51 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 23.71 |=================================================================== b . 23.91 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 5.17134 |================================================================== b . 5.08807 |================================================================= HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 5.73239 |================================================================= b . 5.79782 |================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 GFLOP/s > Higher Is Better HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 GFLOP/s > Higher Is Better a . 11.14 |=================================================================== b . 11.32 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 GFLOP/s > Higher Is Better a . 11.23 |==================================================================== b . 11.26 |==================================================================== HeFFTe - Highly Efficient FFT for Exascale 2.4 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 GFLOP/s > Higher Is Better a . 12.64 |==================================================================== b . 12.68 |==================================================================== QMCPACK 3.17.1 Input: H4_ae Total Execution Time - Seconds < Lower Is Better a . 33.33 |==================================================================== b . 33.42 |==================================================================== QMCPACK 3.17.1 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better a . 311.61 |=================================================================== b . 304.91 |================================================================== QMCPACK 3.17.1 Input: LiH_ae_MSD Total Execution Time - Seconds < Lower Is Better a . 81.05 |==================================================================== b . 78.55 |================================================================== QMCPACK 3.17.1 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better a . 26.04 |==================================================================== b . 25.51 |=================================================================== QMCPACK 3.17.1 Input: O_ae_pyscf_UHF Total Execution Time - Seconds < Lower Is Better a . 196.82 |=================================================================== b . 194.96 |================================================================== QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 125.14 |=================================================================== b . 122.60 |================================================================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better a . 723.22 |=================================================================== b . 720.53 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 17029 |==================================================================== b . 17003 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 16126 |=================================================================== b . 16438 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 18490 |=================================================================== b . 18874 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 265212 |=================================================================== b . 266427 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 562096 |=================================================================== b . 556837 |================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 277036 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 564011 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 330395 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 659311 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 4184 |===================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 4242 |===================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 4905 |===================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 68253 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 133413 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 69373 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 135283 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 79996 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 156077 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Magi kH/s > Higher Is Better a . 202.12 |=================================================================== Cpuminer-Opt 23.5 Algorithm: scrypt kH/s > Higher Is Better a . 92.24 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Deepcoin kH/s > Higher Is Better a . 2780.98 |================================================================== Cpuminer-Opt 23.5 Algorithm: Ringcoin kH/s > Higher Is Better a . 1178.07 |================================================================== Cpuminer-Opt 23.5 Algorithm: Blake-2 S kH/s > Higher Is Better a . 49310 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Garlicoin kH/s > Higher Is Better a . 1062.16 |================================================================== Cpuminer-Opt 23.5 Algorithm: Skeincoin kH/s > Higher Is Better a . 12750 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 4045.81 |================================================================== Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 6006.19 |================================================================== Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 21630 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 36920 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 4.24 |===================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 941.53 |=================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 32.35 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 123.6 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 32.3 |===================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 123.77 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 211.34 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 18.9 |===================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 7.42 |===================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 539.14 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 889.27 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 4.47 |===================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 93.71 |==================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 42.63 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 411.66 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 9.69 |===================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 384.89 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 20.75 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1301.75 |================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 6.11 |===================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 145.51 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 27.45 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 44.97 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 88.89 |==================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 761.41 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 10.49 |==================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 435.76 |=================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 9.16 |===================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 197.57 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 40.46 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 11255.46 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 0.7 |====================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 155.3 |==================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 51.46 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 16662.05 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.47 |=====================================================================