Crucial DDR5 Memory Benchmarks - AMD Ryzen
Crucial memory review benchmarks by Michael Larabel for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2302279-NE-RYZENDDR533&ppd_RERSNS00ODAwIENydWNpYWw=104&ppd_RERSNS01MjAwIENydWNpYWw=148&ppd_RERSNS01NjAwIENydWNpYWw=148&ppd_RERSNS02MDAwIEdTS0lMTCBGNS02MDAwSjMwMzhGMTZH=169&ppt=D&sgm=1&ppd_RERSNS00ODAwIENydWNpYWw=104&ppd_RERSNS01MjAwIENydWNpYWw=148&ppd_RERSNS01NjAwIENydWNpYWw=148&ppd_RERSNS02MDAwIEdTS0lMTCBGNS02MDAwSjMwMzhGMTZH=169&ppt=D&sor&grw.
RAMspeed SMP
Type: Add - Benchmark: Integer
RAMspeed SMP
Type: Copy - Benchmark: Integer
RAMspeed SMP
Type: Scale - Benchmark: Integer
RAMspeed SMP
Type: Triad - Benchmark: Integer
RAMspeed SMP
Type: Average - Benchmark: Integer
RAMspeed SMP
Type: Add - Benchmark: Floating Point
RAMspeed SMP
Type: Copy - Benchmark: Floating Point
RAMspeed SMP
Type: Scale - Benchmark: Floating Point
RAMspeed SMP
Type: Triad - Benchmark: Floating Point
RAMspeed SMP
Type: Average - Benchmark: Floating Point
Stream
Type: Copy
Stream
Type: Scale
Stream
Type: Triad
Stream
Type: Add
Darktable
Test: Boat - Acceleration: CPU-only
Darktable
Test: Masskrug - Acceleration: CPU-only
Darktable
Test: Server Rack - Acceleration: CPU-only
Darktable
Test: Server Room - Acceleration: CPU-only
RawTherapee
Total Benchmark Time
Xonotic
Resolution: 3840 x 2160 - Effects Quality: Low
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
nekRS
Input: TurboPipe Periodic
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Standard
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
NAS Parallel Benchmarks
Test / Class: BT.C
NAS Parallel Benchmarks
Test / Class: CG.C
NAS Parallel Benchmarks
Test / Class: FT.C
NAS Parallel Benchmarks
Test / Class: IS.D
NAS Parallel Benchmarks
Test / Class: LU.C
NAS Parallel Benchmarks
Test / Class: SP.B
NAS Parallel Benchmarks
Test / Class: SP.C
NAMD
ATPase Simulation - 327,506 Atoms
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
Timed FFmpeg Compilation
Time To Compile
Timed MPlayer Compilation
Time To Compile
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
Timed PHP Compilation
Time To Compile
Zstd Compression
Compression Level: 19 - Compression Speed
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Timed Linux Kernel Compilation
Build: defconfig
VP9 libvpx Encoding
Speed: Speed 0 - Input: Bosphorus 4K
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 4K
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 1080p
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
dav1d
Video Input: Chimera 1080p
dav1d
Video Input: Summer Nature 4K
dav1d
Video Input: Summer Nature 1080p
dav1d
Video Input: Chimera 1080p 10-bit
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 1 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 1 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 7 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 10 - Input: Bosphorus 1080p
Blender
Blend File: BMW27 - Compute: CPU-Only
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
uvg266
Video Input: Bosphorus 1080p - Video Preset: Slow
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
Timed Godot Game Engine Compilation
Time To Compile
Embree
Binary: Pathtracer - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
Binary: Pathtracer - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160
OpenVKL
Benchmark: vklBenchmark ISPC
OpenVKL
Benchmark: vklBenchmark Scalar
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
Build2
Time To Compile
Timed Mesa Compilation
Time To Compile
simdjson
Throughput Test: Kostya
simdjson
Throughput Test: TopTweet
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Standard
Geometric Mean Of All Test Results
Result Composite - Crucial DDR5 Memory Benchmarks - AMD Ryzen
RAMspeed SMP
Performance / Cost - Type: Add - Benchmark: Integer
RAMspeed SMP
Performance / Cost - Type: Copy - Benchmark: Integer
RAMspeed SMP
Performance / Cost - Type: Scale - Benchmark: Integer
RAMspeed SMP
Performance / Cost - Type: Triad - Benchmark: Integer
RAMspeed SMP
Performance / Cost - Type: Average - Benchmark: Integer
RAMspeed SMP
Performance / Cost - Type: Add - Benchmark: Floating Point
RAMspeed SMP
Performance / Cost - Type: Copy - Benchmark: Floating Point
RAMspeed SMP
Performance / Cost - Type: Scale - Benchmark: Floating Point
RAMspeed SMP
Performance / Cost - Type: Triad - Benchmark: Floating Point
RAMspeed SMP
Performance / Cost - Type: Average - Benchmark: Floating Point
Stream
Performance / Cost - Type: Copy
Stream
Performance / Cost - Type: Scale
Stream
Performance / Cost - Type: Triad
Stream
Performance / Cost - Type: Add
Darktable
Performance / Cost - Test: Boat - Acceleration: CPU-only
Darktable
Performance / Cost - Test: Masskrug - Acceleration: CPU-only
Darktable
Performance / Cost - Test: Server Rack - Acceleration: CPU-only
Darktable
Performance / Cost - Test: Server Room - Acceleration: CPU-only
RawTherapee
Performance / Cost - Total Benchmark Time
Xonotic
Performance / Cost - Resolution: 3840 x 2160 - Effects Quality: Low
miniBUDE
Performance / Cost - Implementation: OpenMP - Input Deck: BM1
miniBUDE
Performance / Cost - Implementation: OpenMP - Input Deck: BM1
nekRS
Performance / Cost - Input: TurboPipe Periodic
Neural Magic DeepSparse
Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ONNX Runtime
Performance / Cost - Model: GPT-2 - Device: CPU - Executor: Standard
GROMACS
Performance / Cost - Implementation: MPI CPU - Input: water_GMX50_bare
NAS Parallel Benchmarks
Performance / Cost - Test / Class: BT.C
NAS Parallel Benchmarks
Performance / Cost - Test / Class: CG.C
NAS Parallel Benchmarks
Performance / Cost - Test / Class: FT.C
NAS Parallel Benchmarks
Performance / Cost - Test / Class: IS.D
NAS Parallel Benchmarks
Performance / Cost - Test / Class: LU.C
NAS Parallel Benchmarks
Performance / Cost - Test / Class: SP.B
NAS Parallel Benchmarks
Performance / Cost - Test / Class: SP.C
NAMD
Performance / Cost - ATPase Simulation - 327,506 Atoms
oneDNN
Performance / Cost - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Performance / Cost - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Performance / Cost - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Performance / Cost - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
OpenVINO
Performance / Cost - Model: Person Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenFOAM
Performance / Cost - Input: drivaerFastback, Small Mesh Size - Mesh Time
OpenFOAM
Performance / Cost - Input: drivaerFastback, Small Mesh Size - Execution Time
Xcompact3d Incompact3d
Performance / Cost - Input: input.i3d 129 Cells Per Direction
Timed FFmpeg Compilation
Performance / Cost - Time To Compile
Timed MPlayer Compilation
Performance / Cost - Time To Compile
7-Zip Compression
Performance / Cost - Test: Compression Rating
7-Zip Compression
Performance / Cost - Test: Decompression Rating
Timed PHP Compilation
Performance / Cost - Time To Compile
Zstd Compression
Performance / Cost - Compression Level: 19 - Compression Speed
Zstd Compression
Performance / Cost - Compression Level: 19 - Decompression Speed
Zstd Compression
Performance / Cost - Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Performance / Cost - Compression Level: 19, Long Mode - Decompression Speed
Timed Linux Kernel Compilation
Performance / Cost - Build: defconfig
VP9 libvpx Encoding
Performance / Cost - Speed: Speed 0 - Input: Bosphorus 4K
VP9 libvpx Encoding
Performance / Cost - Speed: Speed 5 - Input: Bosphorus 4K
VP9 libvpx Encoding
Performance / Cost - Speed: Speed 5 - Input: Bosphorus 1080p
SVT-VP9
Performance / Cost - Tuning: VMAF Optimized - Input: Bosphorus 4K
SVT-VP9
Performance / Cost - Tuning: VMAF Optimized - Input: Bosphorus 1080p
SVT-VP9
Performance / Cost - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
SVT-VP9
Performance / Cost - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-VP9
Performance / Cost - Tuning: Visual Quality Optimized - Input: Bosphorus 4K
SVT-VP9
Performance / Cost - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
dav1d
Performance / Cost - Video Input: Chimera 1080p
dav1d
Performance / Cost - Video Input: Summer Nature 4K
dav1d
Performance / Cost - Video Input: Summer Nature 1080p
dav1d
Performance / Cost - Video Input: Chimera 1080p 10-bit
SVT-AV1
Performance / Cost - Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Performance / Cost - Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Performance / Cost - Encoder Mode: Preset 13 - Input: Bosphorus 4K
SVT-AV1
Performance / Cost - Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-AV1
Performance / Cost - Encoder Mode: Preset 13 - Input: Bosphorus 1080p
SVT-HEVC
Performance / Cost - Tuning: 1 - Input: Bosphorus 4K
SVT-HEVC
Performance / Cost - Tuning: 7 - Input: Bosphorus 4K
SVT-HEVC
Performance / Cost - Tuning: 10 - Input: Bosphorus 4K
SVT-HEVC
Performance / Cost - Tuning: 1 - Input: Bosphorus 1080p
SVT-HEVC
Performance / Cost - Tuning: 7 - Input: Bosphorus 1080p
SVT-HEVC
Performance / Cost - Tuning: 10 - Input: Bosphorus 1080p
Blender
Performance / Cost - Blend File: BMW27 - Compute: CPU-Only
uvg266
Performance / Cost - Video Input: Bosphorus 4K - Video Preset: Slow
uvg266
Performance / Cost - Video Input: Bosphorus 1080p - Video Preset: Slow
uvg266
Performance / Cost - Video Input: Bosphorus 4K - Video Preset: Super Fast
uvg266
Performance / Cost - Video Input: Bosphorus 4K - Video Preset: Ultra Fast
uvg266
Performance / Cost - Video Input: Bosphorus 1080p - Video Preset: Super Fast
uvg266
Performance / Cost - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
VVenC
Performance / Cost - Video Input: Bosphorus 4K - Video Preset: Fast
VVenC
Performance / Cost - Video Input: Bosphorus 4K - Video Preset: Faster
VVenC
Performance / Cost - Video Input: Bosphorus 1080p - Video Preset: Fast
VVenC
Performance / Cost - Video Input: Bosphorus 1080p - Video Preset: Faster
Timed Godot Game Engine Compilation
Performance / Cost - Time To Compile
Embree
Performance / Cost - Binary: Pathtracer - Model: Crown
Embree
Performance / Cost - Binary: Pathtracer ISPC - Model: Crown
Embree
Performance / Cost - Binary: Pathtracer - Model: Asian Dragon
Embree
Performance / Cost - Binary: Pathtracer ISPC - Model: Asian Dragon
Intel Open Image Denoise
Performance / Cost - Run: RT.ldr_alb_nrm.3840x2160
OpenVKL
Performance / Cost - Benchmark: vklBenchmark ISPC
OpenVKL
Performance / Cost - Benchmark: vklBenchmark Scalar
OSPRay Studio
Performance / Cost - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
Build2
Performance / Cost - Time To Compile
Timed Mesa Compilation
Performance / Cost - Time To Compile
simdjson
Performance / Cost - Throughput Test: Kostya
simdjson
Performance / Cost - Throughput Test: TopTweet
simdjson
Performance / Cost - Throughput Test: PartialTweets
simdjson
Performance / Cost - Throughput Test: DistinctUserID
ONNX Runtime
Performance / Cost - Model: GPT-2 - Device: CPU - Executor: Standard
Phoronix Test Suite v10.8.5