Raptor New Tests
Intel Core i5-13600K testing with a ASUS PRIME Z790-P WIFI (0602 BIOS) and AMD Radeon RX 6800 XT 16GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2210274-PTS-RAPTORNE00&sor&grs.
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
QuadRay
Scene: 5 - Resolution: 4K
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
QuadRay
Scene: 2 - Resolution: 4K
QuadRay
Scene: 5 - Resolution: 1080p
QuadRay
Scene: 3 - Resolution: 4K
Facebook RocksDB
Test: Random Read
QuadRay
Scene: 3 - Resolution: 1080p
QuadRay
Scene: 1 - Resolution: 4K
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
OpenVINO
Model: Face Detection FP16 - Device: CPU
QuadRay
Scene: 2 - Resolution: 1080p
Facebook RocksDB
Test: Read While Writing
Cpuminer-Opt
Algorithm: scrypt
Cpuminer-Opt
Algorithm: Ringcoin
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
Cpuminer-Opt
Algorithm: Deepcoin
BRL-CAD
VGR Performance Metric
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
7-Zip Compression
Test: Decompression Rating
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
Cpuminer-Opt
Algorithm: Blake-2 S
QuadRay
Scene: 1 - Resolution: 1080p
Cpuminer-Opt
Algorithm: x25x
OpenRadioss
Model: Rubber O-Ring Seal Installation
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
Blender
Blend File: BMW27 - Compute: CPU-Only
WebP2 Image Encode
Encode Settings: Quality 100, Compression Effort 5
TensorFlow
Device: CPU - Batch Size: 16 - Model: GoogLeNet
OpenRadioss
Model: Cell Phone Drop Test
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
Blender
Blend File: Barbershop - Compute: CPU-Only
Timed Linux Kernel Compilation
Build: allmodconfig
spaCy
Model: en_core_web_trf
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
Xmrig
Variant: Wownero - Hash Count: 1M
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Timed Node.js Compilation
Time To Compile
TensorFlow
Device: CPU - Batch Size: 16 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Timed Godot Game Engine Compilation
Time To Compile
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
Timed Linux Kernel Compilation
Build: defconfig
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
OpenRadioss
Model: Bird Strike on Windshield
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
libavif avifenc
Encoder Speed: 6
Timed Mesa Compilation
Time To Compile
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 32 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
Natron
Input: Spaceship
7-Zip Compression
Test: Compression Rating
libavif avifenc
Encoder Speed: 0
JPEG XL Decoding libjxl
CPU Threads: All
TensorFlow
Device: CPU - Batch Size: 64 - Model: VGG-16
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
OpenRadioss
Model: Bumper Beam
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
Facebook RocksDB
Test: Read Random Write Random
libavif avifenc
Encoder Speed: 2
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
TensorFlow
Device: CPU - Batch Size: 512 - Model: GoogLeNet
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
Facebook RocksDB
Test: Update Random
libavif avifenc
Encoder Speed: 6, Lossless
WebP2 Image Encode
Encode Settings: Default
WebP2 Image Encode
Encode Settings: Quality 100, Lossless Compression
Y-Cruncher
Pi Digits To Calculate: 500M
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Y-Cruncher
Pi Digits To Calculate: 1B
Xmrig
Variant: Monero - Hash Count: 1M
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
Timed PHP Compilation
Time To Compile
Timed Wasmer Compilation
Time To Compile
Cpuminer-Opt
Algorithm: Garlicoin
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
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: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
Timed Erlang/OTP Compilation
Time To Compile
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Timed CPython Compilation
Build Configuration: Default
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
libavif avifenc
Encoder Speed: 10, Lossless
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
JPEG XL libjxl
Input: JPEG - Quality: 90
JPEG XL libjxl
Input: PNG - Quality: 80
JPEG XL libjxl
Input: JPEG - Quality: 80
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
JPEG XL libjxl
Input: PNG - Quality: 90
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - 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 Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
JPEG XL libjxl
Input: PNG - Quality: 100
WebP Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100, Lossless
FLAC Audio Encoding
WAV To FLAC
OpenFOAM
Input: motorBike - Execution Time
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
JPEG XL libjxl
Input: JPEG - Quality: 100
OpenFOAM
Input: motorBike - Mesh Time
spaCy
Model: en_core_web_lg
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
WebP Image Encode
Encode Settings: Quality 100
Cpuminer-Opt
Algorithm: Myriad-Groestl
JPEG XL Decoding libjxl
CPU Threads: 1
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
Phoronix Test Suite v10.8.5