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