Intel Core i9-12900K testing with a ASUS PRIME Z790-V AX (1802 BIOS) and ASUS NVIDIA w Dual GeForce RTX 3090 24GB w NVLink on Ubuntu 24.04 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 2410281-NE-102424MAC72
This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.
RNNoise
RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.
Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./run-wizardcoder: line 2: ./wizardcoder-python-34b-v1.0.Q6_K.llamafile.86: No such file or directory
Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./run-mistral: line 2: ./mistral-7b-instruct-v0.2.Q5_K_M.llamafile.86: No such file or directory
Test: llava-v1.5-7b-q4 - Acceleration: CPU
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./run-llava: line 2: ./llava-v1.6-mistral-7b.Q8_0.llamafile.86: No such file or directory
Llama.cpp
Model: llama-2-70b-chat.Q5_0.gguf
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: main: error: unable to load model
Model: llama-2-13b.Q4_0.gguf
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: main: error: unable to load model
Model: llama-2-7b.Q4_0.gguf
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: main: error: unable to load model
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: KeyError:
Benchmark: Plot Singular Value Decomposition
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'matplotlib.tri.triangulation'
Benchmark: RCV1 Logreg Convergencet
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: IndexError: list index out of range
Benchmark: Isotonic / Pathological
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
Benchmark: Plot Fast KMeans
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'matplotlib.tri.triangulation'
Benchmark: Plot Lasso Path
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'matplotlib.tri.triangulation'
Benchmark: Glmnet
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'glmnet'
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'imp'
Benchmark: scikit_svm
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'imp'
Benchmark: scikit_qda
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'imp'
Benchmark: scikit_ica
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'imp'
AI Benchmark Alpha
AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
ONNX Runtime
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) open file "FasterRCNN-12-int8/FasterRCNN-12-int8.onnx" failed: No such file or directory
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) open file "FasterRCNN-12-int8/FasterRCNN-12-int8.onnx" failed: No such file or directory
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) open file "resnet100/resnet100.onnx" failed: No such file or directory
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) open file "resnet100/resnet100.onnx" failed: No such file or directory
Model: bertsquad-12 - Device: CPU - Executor: Standard
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) open file "bertsquad-12/bertsquad-12.onnx" failed: No such file or directory
Model: bertsquad-12 - Device: CPU - Executor: Parallel
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) open file "bertsquad-12/bertsquad-12.onnx" failed: No such file or directory
Model: GPT-2 - Device: CPU - Executor: Standard
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) open file "GPT2/model.onnx" failed: No such file or directory
Model: GPT-2 - Device: CPU - Executor: Parallel
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const std::filesystem::__cxx11::path&) open file "GPT2/model.onnx" failed: No such file or directory
Numenta Anomaly Benchmark
Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
Detector: Contextual Anomaly Detector OSE
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'
Detector: Bayesian Changepoint
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'
Detector: Earthgecko Skyline
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'
Detector: Windowed Gaussian
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'
Detector: Relative Entropy
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'
Detector: KNN CAD
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'
ECP-CANDLE
The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.
Benchmark: P3B2
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
Benchmark: P3B1
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
Benchmark: P1B2
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./tnn: 3: ./test/TNNTest: not found
Target: CPU - Model: SqueezeNet v2
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./tnn: 3: ./test/TNNTest: not found
Target: CPU - Model: MobileNet v2
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./tnn: 3: ./test/TNNTest: not found
Target: CPU - Model: DenseNet
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./tnn: 3: ./test/TNNTest: not found
This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Model: GoogleNet - Acceleration: CPU - Iterations: 1000
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: GoogleNet - Acceleration: CPU - Iterations: 200
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: GoogleNet - Acceleration: CPU - Iterations: 100
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: CPU - Iterations: 1000
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: CPU - Iterations: 200
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: CPU - Iterations: 100
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
spaCy
The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tqdm'
Neural Magic DeepSparse
This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ASUS NVIDIA GeForce RTX 3090: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./deepsparse: 2: /.local/bin/deepsparse.benchmark: not found
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.