NVIDIA Linux OpenCL CUDA RTX SUPER Compute

NVIDIA GeForce RTX SUPER Linux OpenCL/CUDA GPU compute benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/1909299-AS-RTXSUPERC34&rdt&grs.

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: MD5 Hash

NAMD CUDA

System Power Consumption Monitor

SHOC Scalable HeterOgeneous Computing

System Power Consumption Monitor

LeelaChessZero

System Power Consumption Monitor

LuxMark

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

OctaneBench

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

clpeak

System Power Consumption Monitor

LuxMark

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

LuxMark

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

FAHBench

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

clpeak

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

PlaidML

System Power Consumption Monitor

clpeak

OpenCL Test: Single-Precision Float

PlaidML

System Power Consumption Monitor

clpeak

OpenCL Test: Global Memory Bandwidth

PlaidML

System Power Consumption Monitor

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: MD5 Hash

Rodinia

System Power Consumption Monitor

clpeak

System Power Consumption Monitor

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL

PlaidML

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

LuxMark

OpenCL Device: GPU - Scene: Microphone

Darktable

Test: Server Room - Acceleration: OpenCL

PlaidML

FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL

PlaidML

FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL

PlaidML

FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL

PlaidML

FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL

cl-mem

Benchmark: Read

clpeak

OpenCL Test: Double-Precision Double

PlaidML

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Max SP Flops

LuxMark

OpenCL Device: GPU - Scene: Luxball HDR

PlaidML

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

PlaidML

FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL

PlaidML

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

PlaidML

FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL

PlaidML

FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL

cl-mem

Benchmark: Write

Rodinia

System Power Consumption Monitor

LuxMark

OpenCL Device: GPU - Scene: Hotel

clpeak

OpenCL Test: Global Memory Bandwidth