xeon febby

2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED 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 2402196-NE-XEONFEBBY11
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C/C++ Compiler Tests 2 Tests
CPU Massive 3 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 7 Tests
Large Language Models 2 Tests
Machine Learning 5 Tests
Molecular Dynamics 2 Tests
Multi-Core 4 Tests
Python Tests 3 Tests
Scientific Computing 2 Tests
Server CPU Tests 2 Tests

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a
February 19
  2 Hours, 29 Minutes
b
February 20
  1 Hour, 59 Minutes
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  2 Hours, 14 Minutes
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xeon febby, "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l", Higher Results Are Better "a",0.42277579014499 "Llama.cpp b1808 - Model: llama-2-70b-chat.Q5_0.gguf", Higher Results Are Better "a", "b", "Llama.cpp b1808 - Model: llama-2-13b.Q4_0.gguf", Higher Results Are Better "a", "b", "Quicksilver 20230818 - Input: CORAL2 P2", Higher Results Are Better "a", "b", "Quicksilver 20230818 - Input: CTS2", Higher Results Are Better "a", "b", "Llama.cpp b1808 - Model: llama-2-7b.Q4_0.gguf", Higher Results Are Better "a", "b", "Llamafile 0.6 - Test: llava-v1.5-7b-q4 - Acceleration: CPU", Higher Results Are Better "a", "b", "Quicksilver 20230818 - Input: CORAL2 P1", Higher Results Are Better "a", "b", "Llamafile 0.6 - Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU", Higher Results Are Better "a", "b", "NAMD 3.0b6 - Input: STMV with 1,066,628 Atoms", Higher Results Are Better "a",1.7462246622802 "b",1.8163819487962 "Llamafile 0.6 - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU", Higher Results Are Better "a", "b", "NAMD 3.0b6 - Input: ATPase with 327,506 Atoms", Higher Results Are Better "a",5.9830798501837 "b",4.0202944463653 "ONNX Runtime 1.17 - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152", Higher Results Are Better "a",19.077643533055 "b",19.210356770127 "ONNX Runtime 1.17 - Model: GPT-2 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: GPT-2 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Update Random", Higher Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: bertsquad-12 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: bertsquad-12 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: yolov4 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: yolov4 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: T5 Encoder - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: T5 Encoder - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Read While Writing", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Read Random Write Random", Higher Results Are Better "a", "b", "Speedb 2.7 - Test: Random Read", Higher Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: super-resolution-10 - Device: CPU - Executor: Standard", Lower Results Are Better "a", "b", "ONNX Runtime 1.17 - Model: super-resolution-10 - Device: CPU - Executor: Standard", Higher Results Are Better "a", "b", "dav1d 1.4 - Video Input: Summer Nature 4K", Higher Results Are Better "a", "b", "dav1d 1.4 - Video Input: Chimera 1080p", Higher Results Are Better "a", "b", "dav1d 1.4 - Video Input: Summer Nature 1080p", Higher Results Are Better "a", "b", "dav1d 1.4 - Video Input: Chimera 1080p 10-bit", Higher Results Are Better "a", "b", "GROMACS 2024 - Implementation: MPI CPU - Input: water_GMX50_bare", Higher Results Are Better "a", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "a",51.656642576938 "b",51.00255058636 "TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "a", "b", "Intel Open Image Denoise 2.2 - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only", Higher Results Are Better "a",2.4580170684705 "b",2.465519706899 "TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: VGG-16", Higher Results Are Better "a", "b", "TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: GoogLeNet", Higher Results Are Better "a", "b", "Y-Cruncher 0.8.3 - Pi Digits To Calculate: 1B", Lower Results Are Better "a", "b", "Intel Open Image Denoise 2.2 - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "a",5.1360013148163 "b",5.0001750061252 "Intel Open Image Denoise 2.2 - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only", Higher Results Are Better "a",5.0966061699514 "b",5.1562870608133 "Y-Cruncher 0.8.3 - Pi Digits To Calculate: 500M", Lower Results Are Better "a", "b", "TensorFlow 2.12 - Device: CPU - Batch Size: 1 - Model: AlexNet", Higher Results Are Better "a", "b",