Intel Core i7-10700T testing with a Logic Supply RXM-181 (Z01-0002A026 BIOS) and Intel UHD 630 CML GT2 30GB on Ubuntu 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 2212231-NE-CHRISTMAS95
christmas comet,
"oneDNN 3.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"Numenta Anomaly Benchmark 1.1 - Detector: Bayesian Changepoint",
Lower Results Are Better
"a",
"b",
"c",
"FluidX3D 1.4 - Test: FP32-FP16S",
Higher Results Are Better
"a",
"b",
"c",
"Numenta Anomaly Benchmark 1.1 - Detector: Relative Entropy",
Lower Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: MoVR - Concurrency: 256",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"Numenta Anomaly Benchmark 1.1 - Detector: Earthgecko Skyline",
Lower Results Are Better
"a",
"b",
"c",
"rav1e 0.6.1 - Speed: 10",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"SVT-AV1 1.4 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: MoVR - Concurrency: 1024",
Higher Results Are Better
"a",
"b",
"c",
"SVT-AV1 1.4 - Encoder Mode: Preset 12 - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"SVT-AV1 1.4 - Encoder Mode: Preset 13 - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",
"SVT-AV1 1.4 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",
"Numenta Anomaly Benchmark 1.1 - Detector: Windowed Gaussian",
Lower Results Are Better
"a",
"b",
"c",
"rav1e 0.6.1 - Speed: 5",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"Timed Linux Kernel Compilation 6.1 - Build: allmodconfig",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Person Detection FP32 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 95% Reads - Concurrency: 128",
Higher Results Are Better
"a",
"b",
"c",
"Scikit-Learn 1.1.3 - Benchmark: TSNE MNIST Dataset",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"SVT-AV1 1.4 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",
"SVT-AV1 1.4 - Encoder Mode: Preset 4 - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 60% Reads - Concurrency: 1024",
Higher Results Are Better
"a",
"b",
"c",
"SVT-AV1 1.4 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p",
Higher Results Are Better
"a",
"b",
"c",
"rav1e 0.6.1 - Speed: 6",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: MoVR - Concurrency: 128",
Higher Results Are Better
"a",
"b",
"c",
"Numenta Anomaly Benchmark 1.1 - Detector: KNN CAD",
Lower Results Are Better
"a",
"b",
"c",
"SVT-AV1 1.4 - Encoder Mode: Preset 8 - Input: Bosphorus 4K",
Higher Results Are Better
"a",
"b",
"c",
"FluidX3D 1.4 - Test: FP32-FP16C",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Vehicle Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Vehicle Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 44100 - Buffer Size: 512",
Higher Results Are Better
"a",
"b",
"c",
"OpenVKL 1.3.1 - Benchmark: vklBenchmark ISPC",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: MoVR - Concurrency: 512",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"nekRS 22.0 - Input: TurboPipe Periodic",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 10% Reads - Concurrency: 256",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"rav1e 0.6.1 - Speed: 1",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 95% Reads - Concurrency: 256",
Higher Results Are Better
"a",
"b",
"c",
"Numenta Anomaly Benchmark 1.1 - Detector: Contextual Anomaly Detector OSE",
Lower Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 10% Reads - Concurrency: 128",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"Blender 3.4 - Blend File: Barbershop - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 480000 - Buffer Size: 512",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Face Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 50% Reads - Concurrency: 512",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Weld Porosity Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Weld Porosity Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 50% Reads - Concurrency: 1024",
Higher Results Are Better
"a",
"b",
"c",
"Blender 3.4 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Face Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 10% Reads - Concurrency: 1024",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 95% Reads - Concurrency: 1024",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 50% Reads - Concurrency: 256",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 60% Reads - Concurrency: 512",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 10% Reads - Concurrency: 512",
Higher Results Are Better
"a",
"b",
"c",
"FluidX3D 1.4 - Test: FP32-FP32",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 50% Reads - Concurrency: 128",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 60% Reads - Concurrency: 128",
Higher Results Are Better
"a",
"b",
"c",
"Timed Linux Kernel Compilation 6.1 - Build: defconfig",
Lower Results Are Better
"a",
"b",
"c",
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 192000 - Buffer Size: 512",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Face Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Face Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 480000 - Buffer Size: 1024",
Higher Results Are Better
"a",
"b",
"c",
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 192000 - Buffer Size: 1024",
Higher Results Are Better
"a",
"b",
"c",
"Scikit-Learn 1.1.3 - Benchmark: MNIST Dataset",
Lower Results Are Better
"a",
"b",
"c",
"Blender 3.4 - Blend File: Classroom - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 60% Reads - Concurrency: 256",
Higher Results Are Better
"a",
"b",
"c",
"Blender 3.4 - Blend File: Pabellon Barcelona - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Person Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"Scikit-Learn 1.1.3 - Benchmark: Sparse Random Projections, 100 Iterations",
Lower Results Are Better
"a",
"b",
"c",
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 44100 - Buffer Size: 1024",
Higher Results Are Better
"a",
"b",
"c",
"CockroachDB 22.2 - Workload: KV, 95% Reads - Concurrency: 512",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 96000 - Buffer Size: 1024",
Higher Results Are Better
"a",
"b",
"c",
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 96000 - Buffer Size: 512",
Higher Results Are Better
"a",
"b",
"c",
"Blender 3.4 - Blend File: Fishy Cat - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Person Detection FP32 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"OpenVINO 2022.3 - Model: Person Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"OpenVKL 1.3.1 - Benchmark: vklBenchmark Scalar",
Higher Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",
"oneDNN 3.0 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"a",
"b",
"c",