AMD Ryzen 7 3800XT 8-Core testing with a ASRock X570 Pro4 (P3.00 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2010047-FI-RYZEN738062
Ryzen 7 3800XT Okt
AMD Ryzen 7 3800XT 8-Core testing with a ASRock X570 Pro4 (P3.00 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"Linux 5.4","Linux 5.8","Linux 5.9 Git"
Processor,,AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads),AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads),AMD Ryzen 7 3800XT 8-Core @ 3.90GHz (8 Cores / 16 Threads)
Motherboard,,ASRock X570 Pro4 (P3.00 BIOS),ASRock X570 Pro4 (P3.00 BIOS),ASRock X570 Pro4 (P3.00 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,16GB,16GB,16GB
Disk,,500GB CT500P2SSD8,500GB CT500P2SSD8,500GB CT500P2SSD8
Graphics,,Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz),Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz),Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz)
Audio,,AMD Ellesmere HDMI Audio,AMD Ellesmere HDMI Audio,AMD Ellesmere HDMI Audio
Monitor,,VA2431,VA2431,VA2431
Network,,Intel I211,Intel I211,Intel I211
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.4.0-42-generic (x86_64),5.8.0-050800-generic (x86_64),5.9.0-050900rc7daily20201003-generic (x86_64) 20201002
Desktop,,GNOME Shell 3.36.1,GNOME Shell 3.36.1,GNOME Shell 3.36.4
Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8
Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8
OpenGL,,4.6 Mesa 20.0.4 (LLVM 9.0.1),4.6 Mesa 20.0.4 (LLVM 9.0.1),4.6 Mesa 20.0.4 (LLVM 9.0.1)
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
Vulkan,,,1.2.128,1.2.128
,,"Linux 5.4","Linux 5.8","Linux 5.9 Git"
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,1068,1061,1056
"AI Benchmark Alpha - Device Training Score (Score)",HIB,928,926,924
"AI Benchmark Alpha - Device AI Score (Score)",HIB,1996,1987,1980
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.32,0.32,0.31
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,2.62,2.54,2.53
"AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,18.85,18.75,18.59
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,4.02,3.90,4.02
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,35.89,32.10,35.59
"Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,97.001,93.480,93.374
"ASTC Encoder - Preset: Fast (sec)",LIB,5.43,5.37,5.37
"ASTC Encoder - Preset: Medium (sec)",LIB,8.06,8.06,8.06
"ASTC Encoder - Preset: Thorough (sec)",LIB,25.24,25.23,25.31
"ASTC Encoder - Preset: Exhaustive (sec)",LIB,205.20,204.37,205.21
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,156.94,154.95,156.00
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,450.45,447.68,448.05
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,209.02,208.05,208.28
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,649.14,647.55,647.68
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,501.14,499.03,499.64
"BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,46115673.8,44847090.5,45690730.5
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,52156,52599,52896
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,104104,105448,105623
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,127096,128380,127975
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,255329,255799,257903
"dcraw - RAW To PPM Image Conversion (sec)",LIB,38.331,38.655,38.334
"DeepSpeech - Acceleration: CPU (sec)",LIB,70.61868,69.45069,69.28654
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,15.561,15.788,15.873
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,27.284,29.026,29.327
"FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,36844.284852213,37385.284963879,37488.017925377
"GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,5149,5128,5028
"GPAW - Input: Carbon Nanotube (sec)",LIB,373.560,380.081,379.977
"GROMACS - Water Benchmark (Ns/Day)",HIB,0.779,0.771,0.784
"Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,400926431.96859,402580548.87072,406889426.81701
"Hugin - Panorama Photo Assistant + Stitching Time (sec)",LIB,45.570,45.640,45.999
"Incompact3D - Input: Cylinder (sec)",LIB,345.818400,359.574799,360.061716
"InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1157537.5,1139053.3,1215380.1
"InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1375863.8,,1292611.2
"InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1451631.0,,
"KeyDB - (Ops/sec)",HIB,608246.51,618206.65,619432.38
"Kripke - (Throughput FoM)",HIB,4416411,6879472,9356842
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,6.666,6.289,5.945
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,587,573,579
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,590,585,580
"LeelaChessZero - Backend: Random (Nodes/s)",HIB,218852,212499,222555
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,82.923,83.026,83.259
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,50.018,49.850,50.017
"libavif avifenc - Encoder Speed: 8 (sec)",LIB,5.046,5.108,5.086
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,4.760,4.829,4.761
"Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,52.19,51.45,50.51
"Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,68.88,71.62,72.25
"Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,19.72,19.41,19.57
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,2.28,2.30,2.31
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,6.751,6.687,6.653
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,32.055,31.746,31.806
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.978,3.902,3.843
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,5.736,5.818,5.742
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,35.132,34.567,34.497
"Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,70.441,70.121,70.838
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,217,220,220
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,672.12,669.13,669.56
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,2149.47,2112.38,2117.61
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,2.19666,2.19929,2.19478
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,18.64,18.63,18.71
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,19.55,19.54,19.51
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.33,6.38,6.41
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.53,5.57,5.59
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.60,4.68,4.71
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.07,5.06,5.06
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,7.90,7.96,7.96
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.89,1.89,1.89
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,18.25,18.21,18.26
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,76.12,76.25,76.28
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,19.09,19.15,19.07
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,17.24,17.27,17.32
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,31.92,31.98,32.06
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,31.28,31.31,31.41
"NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,14.74,14.78,14.74
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,11.31,11.34,11.34
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.16,6.18,6.19
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,7.27,7.61,7.30
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,4.00,3.98,3.99
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,6.79,6.90,6.85
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,15.11,15.17,15.27
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,1.46,1.53,1.53
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,15.99,16.21,16.16
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,53.69,54.72,54.55
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,9.52,9.77,9.87
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,9.52,10.10,9.85
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,23.05,23.20,23.37
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,18.54,18.65,19.17
"OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,24.788,25.204,25.512
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 1 - Mode: Read Only (TPS)",HIB,39691,36005,34268
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.025,0.028,0.029
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 1 - Mode: Read Write (TPS)",HIB,406,401,401
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,2.465,2.493,2.495
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Only (TPS)",HIB,332862,344080,337661
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.150,0.146,0.148
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Only (TPS)",HIB,344184,337782,331764
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.291,0.296,0.302
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Write (TPS)",HIB,438,436,432
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,114.256,114.763,115.639
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 1 - Mode: Read Only (TPS)",HIB,31411,30957,29848
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency (ms)",LIB,0.032,0.032,0.034
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Write (TPS)",HIB,328,427,420
"PostgreSQL pgbench - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,307.991,234.517,238.284
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 1 - Mode: Read Write (TPS)",HIB,295,390,391
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency (ms)",LIB,3.395,2.561,2.561
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Only (TPS)",HIB,266275,259773,255797
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency (ms)",LIB,0.188,0.193,0.195
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,270324,264628,258869
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.370,0.378,0.387
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Write (TPS)",HIB,5028,6840,7464
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency (ms)",LIB,9.951,7.474,6.700
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,6860,7447,10027
"PostgreSQL pgbench - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,14.583,13.516,9.979
"RawTherapee - Total Benchmark Time (sec)",LIB,61.581,61.957,62.244
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,47.665,47.511,47.999
"RealSR-NCNN - Scale: 4x - TAA: Yes (sec)",LIB,363.251,363.227,363.178
"RNNoise - (sec)",LIB,17.746,18.042,17.841
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,233.572,233.738,234.105
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,81.732,79.576,80.426
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,120.257,121.118,121.529
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,22.450,22.851,23.060
"Rodinia - Test: OpenMP Streamcluster (sec)",LIB,33.989,33.843,33.654
"System GZIP Decompression - (sec)",LIB,2.693,2.666,2.667
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,185367,185435,185593
"TensorFlow Lite - Model: Inception V4 (us)",LIB,2672430,2674417,2677030
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,162498,161569,164492
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,123996,124059,124249
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,126727,126898,126843
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,2416477,2416390,2418593
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,22.870,22.663,22.729
"Timed Apache Compilation - Time To Compile (sec)",LIB,22.173,22.734,22.294
"Timed HMMer Search - Pfam Database Search (sec)",LIB,94.292,104.999,105.159
"Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,79.467,86.629,79.909
"Timed LLVM Compilation - Time To Compile (sec)",LIB,614.585,638.170,617.326
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,11.268,11.411,11.605
"Timed PHP Compilation - Time To Compile (sec)",LIB,56.856,59.215,57.610
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,244.745,245.501,243.772
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,230.721,228.117,231.012
"VkFFT - (Benchmark Score)",HIB,10820,10850,10850
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.436,1.397,1.413
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.165,2.159,2.176
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,15.263,15.138,15.003
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,6.699,6.704,6.812
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,32.275,32.237,32.121
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,3745.9,3733.4,3723.1
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,30.9,30.6,30.5