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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2404173-NE-TEST4784533
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