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&grt&sor.
cl-mem
Benchmark: Copy
cl-mem
Benchmark: Copy
cl-mem
Benchmark: Read
cl-mem
Benchmark: Read
cl-mem
Benchmark: Write
cl-mem
Benchmark: Write
clpeak
OpenCL Test: Global Memory Bandwidth
clpeak
OpenCL Test: Global Memory Bandwidth
clpeak
OpenCL Test: Single-Precision Float
clpeak
OpenCL Test: Single-Precision Float
clpeak
System Power Consumption Monitor
clpeak
OpenCL Test: Double-Precision Double
clpeak
OpenCL Test: Double-Precision Double
clpeak
System Power Consumption Monitor
clpeak
OpenCL Test: Integer Compute INT
clpeak
OpenCL Test: Integer Compute INT
clpeak
System Power Consumption Monitor
Darktable
Test: Boat - Acceleration: OpenCL
Darktable
Test: Masskrug - Acceleration: OpenCL
Darktable
Test: Server Room - Acceleration: OpenCL
FAHBench
FAHBench
FAHBench
System Power Consumption Monitor
GPU Temperature Monitor
Phoronix Test Suite System Monitoring
JuliaGPU
OpenCL Device: GPU
JuliaGPU
OpenCL Device: GPU
LeelaChessZero
Backend: OpenCL
LeelaChessZero
Backend: OpenCL
LeelaChessZero
System Power Consumption Monitor
LuxMark
OpenCL Device: GPU - Scene: Luxball HDR
LuxMark
OpenCL Device: GPU - Scene: Luxball HDR
LuxMark
System Power Consumption Monitor
LuxMark
OpenCL Device: GPU - Scene: Microphone
LuxMark
OpenCL Device: GPU - Scene: Microphone
LuxMark
System Power Consumption Monitor
LuxMark
OpenCL Device: GPU - Scene: Hotel
LuxMark
OpenCL Device: GPU - Scene: Hotel
LuxMark
System Power Consumption Monitor
NAMD CUDA
ATPase Simulation - 327,506 Atoms
NAMD CUDA
System Power Consumption Monitor
OctaneBench
Total Score
OctaneBench
Total Score
OctaneBench
System Power Consumption Monitor
PlaidML
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
PlaidML
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
PlaidML
FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL
PlaidML
FP16: Yes - Mode: Inference - Network: Inception V3 - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL
PlaidML
FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL
PlaidML
FP16: Yes - Mode: Inference - Network: NASNer Large - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL
PlaidML
FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL
PlaidML
FP16: Yes - Mode: Inference - Network: VGG16 - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL
PlaidML
FP16: Yes - Mode: Inference - Network: VGG19 - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
PlaidML
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
PlaidML
FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL
PlaidML
FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
PlaidML
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL
PlaidML
System Power Consumption Monitor
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL
PlaidML
FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL
PlaidML
System Power Consumption Monitor
Rodinia
Test: OpenCL Myocyte
Rodinia
System Power Consumption Monitor
Rodinia
Test: OpenCL Particle Filter
Rodinia
System Power Consumption Monitor
SHOC Scalable HeterOgeneous Computing
Target: OpenCL - Benchmark: Max SP Flops
SHOC Scalable HeterOgeneous Computing
Target: OpenCL - Benchmark: Max SP Flops
SHOC Scalable HeterOgeneous Computing
System Power Consumption Monitor
SHOC Scalable HeterOgeneous Computing
Target: OpenCL - Benchmark: FFT SP
SHOC Scalable HeterOgeneous Computing
Target: OpenCL - Benchmark: FFT SP
SHOC Scalable HeterOgeneous Computing
Target: OpenCL - Benchmark: MD5 Hash
SHOC Scalable HeterOgeneous Computing
Target: OpenCL - Benchmark: MD5 Hash
System Power Consumption Monitor
Phoronix Test Suite System Monitoring
ViennaCL
OpenCL LU Factorization
ViennaCL
OpenCL LU Factorization
Phoronix Test Suite v10.8.5