Test

2 x Intel Xeon E5-2682 v4 testing with a Supermicro SYS-7048GR-TR X10DRG-Q v1.10 (3.2 BIOS) and MSI NVIDIA GeForce RTX 3090 24GB on Ubuntu 22.04 via the Phoronix Test Suite.

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BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C++ Boost Tests 2 Tests
CPU Massive 5 Tests
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HPC - High Performance Computing 9 Tests
Machine Learning 6 Tests
Multi-Core 7 Tests
NVIDIA GPU Compute 21 Tests
OpenCL 6 Tests
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Python Tests 3 Tests
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Scientific Computing 2 Tests
Server CPU Tests 2 Tests
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April 16
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April 17
 
MSI NVIDIA GeForce RTX 3090
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Test 2 x Intel Xeon E5-2682 v4 testing with a Supermicro SYS-7048GR-TR X10DRG-Q v1.10 (3.2 BIOS) and MSI NVIDIA GeForce RTX 3090 24GB on Ubuntu 22.04 via the Phoronix Test Suite. ,,"test","Test","MSI NVIDIA GeForce RTX 3090" Processor,,2 x Intel Xeon E5-2682 v4 @ 3.00GHz (32 Cores / 64 Threads),2 x Intel Xeon E5-2682 v4 @ 3.00GHz (32 Cores / 64 Threads),2 x Intel Xeon E5-2682 v4 @ 3.00GHz (32 Cores / 64 Threads) Motherboard,,Supermicro X10DRG-Q v1.10 (3.2 BIOS),Supermicro SYS-7048GR-TR X10DRG-Q v1.10 (3.2 BIOS),Supermicro SYS-7048GR-TR X10DRG-Q v1.10 (3.2 BIOS) Chipset,,Intel Xeon E7 v4/Xeon,Intel Xeon E7 v4/Xeon,Intel Xeon E7 v4/Xeon Memory,,32GB,2 x 16GB DDR4-2400MT/s,2 x 16GB DDR4-2400MT/s Disk,,1000GB Samsung SSD 870 + 4001GB Western Digital WD40EFPX-68C,1000GB Samsung SSD 870 + 4001GB Western Digital WD40EFPX-68C,1000GB Samsung SSD 870 + 4001GB Western Digital WD40EFPX-68C Graphics,,MSI NVIDIA GeForce RTX 3090 24GB,MSI NVIDIA GeForce RTX 3090 24GB,MSI NVIDIA GeForce RTX 3090 24GB Audio,,Realtek ALC888-VD,Realtek ALC888-VD,Realtek ALC888-VD Network,,2 x Intel I350,2 x Intel I350,2 x Intel I350 OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04 Kernel,,5.15.0-102-generic (x86_64),5.15.0-102-generic (x86_64),5.15.0-102-generic (x86_64) Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3 Display Driver,,NVIDIA,NVIDIA,NVIDIA Compiler,,GCC 11.4.0 + Clang 14.0.0-1ubuntu1.1 + LLVM 14.0.0 + CUDA 12.4,GCC 11.4.0 + Clang 14.0.0-1ubuntu1.1 + LLVM 14.0.0 + CUDA 12.4,GCC 11.4.0 + Clang 14.0.0-1ubuntu1.1 + LLVM 14.0.0 + CUDA 12.4 File-System,,ext4,ext4,ext4 Screen Resolution,,1024x768,1024x768,1024x768 OpenCL,,,OpenCL 3.0 CUDA 12.4.89,OpenCL 3.0 CUDA 12.4.89 Vulkan,,,,1.3.277 ,,"test","Test","MSI NVIDIA GeForce RTX 3090" "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: S3D ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Triad ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: FFT SP ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: MD5 Hash ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Reduction ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: GEMM SGEMM_N ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Max SP Flops ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Download ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Readback ()",HIB,,, "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Texture Read Bandwidth ()",HIB,,, "PlaidML - FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,,, "PlaidML - FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL (Examples/sec)",HIB,,, "PlaidML - FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,,, "PlaidML - FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL (Examples/sec)",HIB,,, "PlaidML - FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL (Examples/sec)",HIB,,, "NeatBench - Acceleration: GPU (FPS)",HIB,,,3090 "cl-mem - Benchmark: Copy (GB/s)",HIB,,,359.5 "cl-mem - Benchmark: Read (GB/s)",HIB,,,827.5 "cl-mem - Benchmark: Write (GB/s)",HIB,,,753.6 "ViennaCL - Test: CPU BLAS - sCOPY (GB/s)",HIB,,,69.3 "ViennaCL - Test: CPU BLAS - sAXPY (GB/s)",HIB,,,97.5 "ViennaCL - Test: CPU BLAS - sDOT (GB/s)",HIB,,,110.9 "ViennaCL - Test: CPU BLAS - dCOPY (GB/s)",HIB,,,16.8 "ViennaCL - Test: CPU BLAS - dAXPY (GB/s)",HIB,,,23.6 "ViennaCL - Test: CPU BLAS - dDOT (GB/s)",HIB,,,25.3 "ViennaCL - Test: CPU BLAS - dGEMV-N (GB/s)",HIB,,,29.6 "ViennaCL - Test: CPU BLAS - dGEMV-T (GB/s)",HIB,,,37.1 "ViennaCL - Test: OpenCL BLAS - sCOPY (GB/s)",HIB,,,359 "ViennaCL - Test: OpenCL BLAS - sAXPY (GB/s)",HIB,,,490 "ViennaCL - Test: OpenCL BLAS - sDOT (GB/s)",HIB,,,359 "ViennaCL - Test: OpenCL BLAS - dCOPY (GB/s)",HIB,,,596 "ViennaCL - Test: OpenCL BLAS - dAXPY (GB/s)",HIB,,,713 "ViennaCL - Test: OpenCL BLAS - dDOT (GB/s)",HIB,,,641 "ViennaCL - Test: OpenCL BLAS - dGEMV-N (GB/s)",HIB,,,186 "ViennaCL - Test: OpenCL BLAS - dGEMV-T (GB/s)",HIB,,,371 "clpeak - OpenCL Test: Global Memory Bandwidth (GBPS)",HIB,,,816.71 "Mixbench - Backend: OpenCL - Benchmark: Double Precision (GFLOPS)",HIB,,,526.43 "Mixbench - Backend: OpenCL - Benchmark: Single Precision (GFLOPS)",HIB,,,37433.27 "Mixbench - Backend: NVIDIA CUDA - Benchmark: Half Precision (GFLOPS)",HIB,,,33947.25 "Mixbench - Backend: NVIDIA CUDA - Benchmark: Double Precision (GFLOPS)",HIB,,,497.73 "Mixbench - Backend: NVIDIA CUDA - Benchmark: Single Precision (GFLOPS)",HIB,,,31838.27 "clpeak - OpenCL Test: Single-Precision Float (GFLOPS)",HIB,,,34559.24 "clpeak - OpenCL Test: Double-Precision Double (GFLOPS)",HIB,,,636.06 "ViennaCL - Test: CPU BLAS - dGEMM-NN (GFLOPs/s)",HIB,,,57.5 "ViennaCL - Test: CPU BLAS - dGEMM-NT (GFLOPs/s)",HIB,,,52.8 "ViennaCL - Test: CPU BLAS - dGEMM-TN (GFLOPs/s)",HIB,,,60.0 "ViennaCL - Test: CPU BLAS - dGEMM-TT (GFLOPs/s)",HIB,,,58.7 "ViennaCL - Test: OpenCL BLAS - dGEMM-NN (GFLOPs/s)",HIB,,,590 "ViennaCL - Test: OpenCL BLAS - dGEMM-NT (GFLOPs/s)",HIB,,,593 "ViennaCL - Test: OpenCL BLAS - dGEMM-TN (GFLOPs/s)",HIB,,,591 "ViennaCL - Test: OpenCL BLAS - dGEMM-TT (GFLOPs/s)",HIB,,,590 "Mixbench - Backend: OpenCL - Benchmark: Integer (GIOPS)",HIB,,,19101.89 "Mixbench - Backend: NVIDIA CUDA - Benchmark: Integer (GIOPS)",HIB,,,15908.05 "clpeak - OpenCL Test: Integer Compute INT (GIOPS)",HIB,,,17619.75 "Hashcat - Benchmark: MD5 (H/s)",HIB,,,102516368750 "Hashcat - Benchmark: SHA1 (H/s)",HIB,,,43537200000 "Hashcat - Benchmark: 7-Zip (H/s)",HIB,,,2122900 "Hashcat - Benchmark: SHA-512 (H/s)",HIB,,,6285933333 "Hashcat - Benchmark: TrueCrypt RIPEMD160 + XTS (H/s)",HIB,,,1629667 "LuxCoreRender - Scene: DLSC - Acceleration: GPU (M samples/sec)",HIB,,,28.18 "LuxCoreRender - Scene: Danish Mood - Acceleration: GPU (M samples/sec)",HIB,,,17.48 "LuxCoreRender - Scene: Orange Juice - Acceleration: GPU (M samples/sec)",HIB,,,21.68 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: GPU (M samples/sec)",HIB,,,16.71 "LuxCoreRender - Scene: Rainbow Colors and Prism - Acceleration: GPU (M samples/sec)",HIB,,,52.13 "LeelaChessZero - Backend: OpenCL (Nodes/s)",HIB,,, "FAHBench - (Ns/Day)",HIB,,,291.2435 "GROMACS - Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare (Ns/Day)",HIB,,, "MandelGPU - OpenCL Device: GPU (Samples/sec)",HIB,,, "AI Benchmark Alpha - (Score)",HIB,,, "Chaos Group V-RAY - Mode: NVIDIA RTX GPU (Vrays)",HIB,,, "Chaos Group V-RAY - Mode: NVIDIA CUDA GPU (Vrays)",HIB,,, "ArrayFire - Test: Conjugate Gradient OpenCL ()",LIB,,, "Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 (ms)",LIB,,, "Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 (ms)",LIB,,, "Caffe - Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 (ms)",LIB,,, "Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 (ms)",LIB,,, "Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 (ms)",LIB,,, "Caffe - Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 (ms)",LIB,,, "FinanceBench - Benchmark: Black-Scholes OpenCL (ms)",LIB,,,6.060 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,,,52.65 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,,,22.24 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,,,16.97 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,,,18.41 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,,,16.64 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,,,26.40 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,,,11.31 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,,,49.15 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,,,103.35 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,,,33.80 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,,,31.16 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,,,71.49 "NCNN - Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3 (ms)",LIB,,,52.65 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,,,64.14 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,,,49.93 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,,,90.84 "NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,,,134.18 "NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,,,28.33 "RedShift Demo - (sec)",LIB,,, "Rodinia - Test: OpenCL Particle Filter (sec)",LIB,,,4.031 "Blender - Blend File: BMW27 - Compute: NVIDIA OptiX (sec)",LIB,,,4.89 "Blender - Blend File: Junkshop - Compute: NVIDIA OptiX (sec)",LIB,,,14.33 "Blender - Blend File: Classroom - Compute: NVIDIA OptiX (sec)",LIB,,,9.71 "Blender - Blend File: Fishy Cat - Compute: NVIDIA OptiX (sec)",LIB,,,8.45 "Blender - Blend File: Barbershop - Compute: NVIDIA OptiX (sec)",LIB,,,37.99 "Blender - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX (sec)",LIB,,,11.11