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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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October 24 2023
  1 Hour, 7 Minutes
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October 24 2023
  1 Hour, 8 Minutes
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October 24 2023
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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: 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 c: 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 OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better a . 170 |====================================================================== b . 171 |====================================================================== c . 171 |====================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better a . 67 |===================================================================== b . 67 |===================================================================== c . 69 |======================================================================= easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 Seconds < Lower Is Better a . 584.73 |=================================================================== b . 585.35 |=================================================================== c . 579.99 |================================================================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.11 |===================================================================== b . 0.11 |===================================================================== c . 0.11 |===================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better a . 236.37 |=================================================================== b . 235.94 |=================================================================== c . 236.14 |=================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.22 |===================================================================== b . 0.22 |===================================================================== c . 0.22 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.22 |===================================================================== b . 0.22 |===================================================================== c . 0.22 |===================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 7.1781 |================================================================== b . 7.2714 |=================================================================== c . 7.1882 |================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 7.8348 |=================================================================== b . 7.8132 |=================================================================== c . 7.7511 |================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 7.4556 |=================================================================== b . 7.4331 |=================================================================== c . 7.4151 |=================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 8.1114 |=================================================================== b . 8.0696 |=================================================================== c . 8.0388 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 4956.70 |================================================================== b . 4925.48 |================================================================== c . 4574.04 |============================================================= oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4919.23 |================================================================= b . 4965.28 |================================================================== c . 4376.69 |========================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4898.17 |================================================================= b . 4967.81 |================================================================== c . 3876.53 |==================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 8.6173 |================================================================== b . 8.7640 |=================================================================== c . 8.7330 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2506.07 |================================================================= b . 2555.28 |================================================================== c . 2320.01 |============================================================ oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2520.79 |================================================================== b . 2524.94 |================================================================== c . 2382.55 |============================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2514.18 |================================================================= b . 2555.43 |================================================================== c . 2127.79 |======================================================= Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 9.5152 |=================================================================== b . 9.5178 |=================================================================== c . 9.4660 |=================================================================== QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 28605.0 |================================================================== b . 28768.7 |================================================================== c . 28299.9 |================================================================= QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 4133.0 |================================================================= b . 4229.3 |=================================================================== c . 4074.6 |================================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 9.93332 |================================================================== b . 9.73785 |================================================================= c . 8.70755 |========================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.52901 |============================================================ b . 1.67745 |================================================================== c . 1.29785 |=================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 10.8682 |================================================================== b . 10.4152 |=============================================================== c . 9.6233 |========================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 8.86916 |================================================================= b . 8.99248 |================================================================== c . 8.66246 |================================================================ oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2.75717 |================================================================== b . 2.75383 |================================================================== c . 2.42519 |========================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.28110 |================================================================== b . 1.25823 |================================================================= c . 1.15590 |============================================================ easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better a . 11.98 |==================================================================== b . 11.93 |==================================================================== c . 11.98 |==================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3.79236 |================================================================== b . 3.75671 |================================================================= c . 3.62443 |=============================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.61120 |================================================================== b . 5.57229 |================================================================== c . 5.59833 |================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.22678 |================================================================== b . 2.22532 |================================================================== c . 2.19780 |================================================================= oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 15.02 |==================================================================== b . 14.94 |=================================================================== c . 15.09 |==================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 14.25 |================================================================== b . 14.58 |==================================================================== c . 14.27 |=================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 6.76831 |================================================================== b . 6.74215 |================================================================== c . 6.72684 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 7.60937 |================================================================= b . 7.67500 |================================================================== c . 6.36614 |======================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 5.17232 |================================================================= b . 5.22381 |================================================================== c . 4.42411 |======================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.92455 |=============================================================== b . 2.01069 |================================================================== c . 1.55587 |===================================================