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AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB 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 2310166-NE-NEWONE35909
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Creator Workloads 4 Tests
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October 16 2023
  1 Hour, 9 Minutes
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October 16 2023
  1 Hour, 8 Minutes
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October 16 2023
  1 Hour, 8 Minutes
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new one AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 23.10 via the Phoronix Test Suite. ,,"a","b","c" Processor,,AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads),AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads),AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads) Motherboard,,LENOVO 21CM0001US (R22ET51W 1.21 BIOS),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,AMD 17h-19h PCIe Root Complex Memory,,16GB,16GB,16GB Disk,,512GB Micron MTFDKBA512TFK,512GB Micron MTFDKBA512TFK,512GB Micron MTFDKBA512TFK Graphics,,AMD Radeon 680M 1GB (2200/400MHz),AMD Radeon 680M 1GB (2200/400MHz),AMD Radeon 680M 1GB (2200/400MHz) Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio Network,,Qualcomm QCNFA765,Qualcomm QCNFA765,Qualcomm QCNFA765 OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.3.0-7-generic (x86_64),6.3.0-7-generic (x86_64),6.3.0-7-generic (x86_64) Desktop,,GNOME Shell,GNOME Shell,GNOME Shell Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 23.1.7-1ubuntu1 (LLVM 15.0.7 DRM 3.52),4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.52),4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.52) Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"a","b","c" "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,5.7412,6.2439,6.2 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,6.5897,6.9878,6.9056 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,111,116,116 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,7.4507,7.7328,7.6607 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,57,59,59 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,8.321,8.5531,8.453 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,11.2779,10.9876,11.1998 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.5173,3.4339,3.4494 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,6.5408,6.6885,6.6641 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,6333.19,6202.46,6200.82 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.24757,2.20351,2.20167 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.96016,4.86017,4.87865 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,7.5532,7.703,7.6536 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,6.26012,6.17242,6.26704 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,10.3108,10.1602,10.1835 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6307.93,6255.44,6285.76 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3308.35,3286.82,3283.97 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,13.1323,13.1158,13.2118 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,591.352,593.543,594.864 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,237.899,238.09,239.051 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.51621,2.5125,2.50565 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,3309.44,3296,3297.18 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,12.2289,12.2734,12.274 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6274.48,6254.99,6265.68 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3316.68,3323.67,3319.67 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,8.16955,8.15304,8.15973 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,11.173,11.188,11.168 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.11,0.11,0.11 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.21,0.21,0.21 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.21,0.21,0.21 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,