s76 compute hpc

Tests for a future article. AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and NAVI31 45GB on Pop 22.04 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 2402165-PTS-S76COMPU45
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HPC - High Performance Computing 3 Tests
Molecular Dynamics 2 Tests
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February 16
  45 Minutes
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February 16
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s76 compute hpc Tests for a future article. AMD Ryzen Threadripper 7980X 64-Cores testing with a System76 Thelio Major (FA Z5 BIOS) and NAVI31 45GB on Pop 22.04 via the Phoronix Test Suite. sa: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 7.79GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (FA Z5 BIOS), Chipset: AMD Device 14a4, Memory: 4 x 32GB DRAM-4800MT/s Micron MTC20F1045S1RC48BA2, Disk: 1000GB CT1000T700SSD5, Graphics: NAVI31 45GB (1760/1124MHz), Audio: AMD Device 14cc, Monitor: DELL P2415Q, Network: Aquantia Device 14c0 + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Pop 22.04, Kernel: 6.7.0-060700daily20240120-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 23.3.2-1pop0~1704238321~22.04~36f1d0e (LLVM 15.0.7 DRM 3.57), Vulkan: 1.3.267, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 7.79GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (FA Z5 BIOS), Chipset: AMD Device 14a4, Memory: 4 x 32GB DRAM-4800MT/s Micron MTC20F1045S1RC48BA2, Disk: 1000GB CT1000T700SSD5, Graphics: NAVI31 45GB (1760/1124MHz), Audio: AMD Device 14cc, Monitor: DELL P2415Q, Network: Aquantia Device 14c0 + Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Pop 22.04, Kernel: 6.7.0-060700daily20240120-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 23.3.2-1pop0~1704238321~22.04~36f1d0e (LLVM 15.0.7 DRM 3.57), Vulkan: 1.3.267, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080 Intel Open Image Denoise 2.2 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better sa . 2.21 |==================================================================== b .. 2.21 |==================================================================== Intel Open Image Denoise 2.2 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better sa . 2.22 |==================================================================== b .. 2.22 |==================================================================== Intel Open Image Denoise 2.2 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better sa . 1.05 |==================================================================== b .. 1.05 |==================================================================== ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 167.22 |================================================================== b .. 164.21 |================================================================= ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 104.86 |================================================================ b .. 108.24 |================================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 5.39937 |================================================================= b .. 5.34960 |================================================================ ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 9.72674 |================================================================= b .. 9.73582 |================================================================= ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 339.90 |================================================================== b .. 342.33 |================================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 138.56 |================================================================= b .. 140.01 |================================================================== ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 6.21189 |=============================================================== b .. 6.40524 |================================================================= ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 13.31 |=================================================================== b .. 13.29 |=================================================================== ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 222.61 |============================================================== b .. 237.88 |================================================================== ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 445.48 |================================================================= b .. 449.20 |================================================================== ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 2.21477 |================================================================= b .. 2.19799 |================================================================= ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 5.74038 |================================================================= b .. 5.75273 |================================================================= ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 12.93 |=================================================================== b .. 12.84 |=================================================================== ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 40.11 |=================================================================== b .. 39.90 |=================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 87.63 |================================================================== b .. 88.76 |=================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 206.01 |================================================================== b .. 205.72 |================================================================== ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 135.76 |================================================================== b .. 134.36 |================================================================= ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 98.36 |=================================================================== b .. 98.34 |=================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better sa . 30.74 |=================================================================== b .. 30.40 |================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better sa . 44.52 |=================================================================== b .. 42.99 |================================================================= GROMACS 2024 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better sa . 7.572 |=================================================================== b .. 7.561 |=================================================================== NAMD 3.0b6 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better sa . 6.48727 |================================================================= b .. 6.51941 |================================================================= NAMD 3.0b6 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better sa . 1.65389 |================================================================= b .. 1.65429 |================================================================= ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 5.97364 |================================================================ b .. 6.08347 |================================================================= ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 9.53425 |================================================================= b .. 9.23622 |=============================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 185.20 |================================================================= b .. 186.92 |================================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 102.81 |================================================================== b .. 102.70 |================================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 2.94058 |================================================================= b .. 2.91968 |================================================================= ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 7.21687 |================================================================= b .. 7.14188 |================================================================ ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 160.98 |================================================================== b .. 156.12 |================================================================ ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 75.12 |=================================================================== b .. 75.25 |=================================================================== ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 4.49040 |================================================================= b .. 4.20204 |============================================================= ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 2.24407 |================================================================= b .. 2.22552 |================================================================ ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 451.51 |================================================================= b .. 454.96 |================================================================== ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 174.20 |================================================================== b .. 173.83 |================================================================== ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 77.36 |=================================================================== b .. 77.89 |=================================================================== ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 24.93 |=================================================================== b .. 25.06 |=================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 11.41 |=================================================================== b .. 11.26 |================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 4.85344 |================================================================= b .. 4.86018 |================================================================= ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 7.36444 |================================================================ b .. 7.44156 |================================================================= ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 10.17 |=================================================================== b .. 10.17 |=================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better sa . 32.53 |================================================================== b .. 32.90 |=================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better sa . 22.46 |================================================================= b .. 23.26 |===================================================================