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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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2310248-NE-DD557351896
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Creator Workloads 4 Tests
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a
October 24 2023
  1 Hour, 7 Minutes
b
October 24 2023
  1 Hour, 8 Minutes
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October 24 2023
  1 Hour, 7 Minutes
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dd 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","b","c" Processor,,AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads),AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads),AMD Ryzen 7 7840U @ 5.29GHz (8 Cores / 16 Threads) Motherboard,,PHX Ray_PEU (V1.04 BIOS),PHX Ray_PEU (V1.04 BIOS),PHX Ray_PEU (V1.04 BIOS) Chipset,,AMD Device 14e8,AMD Device 14e8,AMD Device 14e8 Memory,,16GB,16GB,16GB Disk,,1024GB Micron_3400_MTFDKBA1T0TFH,1024GB Micron_3400_MTFDKBA1T0TFH,1024GB Micron_3400_MTFDKBA1T0TFH Graphics,,AMD Phoenix1 512MB (2700/800MHz),AMD Phoenix1 512MB (2700/800MHz),AMD Phoenix1 512MB (2700/800MHz) Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio Network,,MEDIATEK MT7922 802.11ax PCI,MEDIATEK MT7922 802.11ax PCI,MEDIATEK MT7922 802.11ax PCI OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.5.0-with-patch2 (x86_64),6.5.0-with-patch2 (x86_64),6.5.0-with-patch2 (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server + Wayland,X Server + Wayland,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),4.6 Mesa 23.3~git2309080600.fd297e~oibaf~m (git-fd297ec 2023-09-08 mantic-oibaf-ppa) (LLVM 15.0.7 DRM 3.54),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,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,3200x2000,3200x2000,3200x2000 ,,"a","b","c" "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,584.728,585.354,579.986 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,236.372,235.936,236.144 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,11.979,11.929,11.981 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,28605,28768.7,28299.9 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,4133,4229.3,4074.6 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,8.86916,8.99248,8.66246 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,5.6112,5.57229,5.59833 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.2811,1.25823,1.1559 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.22678,2.22532,2.1978 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.75717,2.75383,2.42519 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.79236,3.75671,3.62443 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,15.0173,14.9408,15.0946 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,10.8682,10.4152,9.6233 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,7.60937,7.675,6.36614 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,14.2507,14.5776,14.2659 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.52901,1.67745,1.29785 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.92455,2.01069,1.55587 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,4898.17,4967.81,3876.53 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2514.18,2555.43,2127.79 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4919.23,4965.28,4376.69 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6.76831,6.74215,6.72684 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.93332,9.73785,8.70755 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.17232,5.22381,4.42411 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2506.07,2555.28,2320.01 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4956.7,4925.48,4574.04 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2520.79,2524.94,2382.55 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,7.1781,7.2714,7.1882 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,7.4556,7.4331,7.4151 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,8.6173,8.764,8.733 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,7.8348,7.8132,7.7511 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,9.5152,9.5178,9.466 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,8.1114,8.0696,8.0388 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.22,0.22,0.22 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.22,0.22,0.22 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.11,0.11,0.11 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,170,171,171 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,67,67,69