AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 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 2306242-NE-DDDAS565146
dddas
AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
,,"a","b"
Processor,,AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads),AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads)
Motherboard,,ASUS ROG ZENITH II EXTREME (1603 BIOS),ASUS ROG ZENITH II EXTREME (1603 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,64GB,64GB
Disk,,Samsung SSD 980 PRO 500GB,Samsung SSD 980 PRO 500GB
Graphics,,AMD Radeon RX 5700 8GB (1750/875MHz),AMD Radeon RX 5700 8GB (1750/875MHz)
Audio,,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio
Monitor,,ASUS VP28U,ASUS VP28U
Network,,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS,,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.19.0-051900rc7-generic (x86_64),5.19.0-051900rc7-generic (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47),4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47)
Vulkan,,1.2.204,1.2.204
Compiler,,GCC 11.3.0,GCC 11.3.0
File-System,,ext4,ext4
Screen Resolution,,3840x2160,3840x2160
,,"a","b"
"Stress-NG - Test: Hash (Bogo Ops/s)",HIB,7627578.66,7624159.24
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,437.11,439.24
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,752.30,741.66
"Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,18809740.35,22201912.16
"libxsmm - M N K: 32 (GFLOPS/s)",HIB,160.5,160.7
"Stress-NG - Test: Poll (Bogo Ops/s)",HIB,4084623.29,4101817.96
"Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,4517.78,4518.88
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,4610857.40,4644715
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,395.11,394.5
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,18827346.28,18816044.49
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,480.06,480.51
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,78260.17,78455.19
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,92853207.13,92812375.37
"Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,3354.40,3360.52
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,51344.69,51160.22
"Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,128353.64,128387.57
"Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,283.41,282.42
"Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,439798.24,440335.12
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,515575.47,528847.31
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,1624118.54,1535034.64
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,82729.76,82887.24
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,66510329.66,71041068.48
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,199178.68,200423.6
"Laghos - Test: Sedov Blast Wave, ube_922_hex.mesh (Major Kernels Rate)",HIB,264.34,265.390123291
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,224417.23,224460.71
"Stress-NG - Test: Function Call (Bogo Ops/s)",HIB,24278.34,24275.23
"Stress-NG - Test: x86_64 RdRand ()",,,
"Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,11201.44,11221.55
"Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,2806.09,2795.85
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,10973.65,10984.91
"Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,22825.44,22200.86
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,3072.80,9580.27
"Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,1501239.29,1496970.66
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,11409509.77,11620881.04
"Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,33507543.08,33539318.97
"Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,94803.76,95693.93
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,33453867.32,33092079.25
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,942.22,943.84
"libxsmm - M N K: 64 (GFLOPS/s)",HIB,318.5,318.7
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,10692419.88,10677047.79
"libxsmm - M N K: 256 (GFLOPS/s)",HIB,910.4,907.4
"libxsmm - M N K: 128 (GFLOPS/s)",HIB,635.8,635.4
"Laghos - Test: Triple Point Problem (Major Kernels Rate)",HIB,220.46,219.12
"Palabos - Grid Size: 1000 (Mega Site Updates/sec)",HIB,,
"Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,28.695,28.83
"Palabos - Grid Size: 500 (Mega Site Updates/sec)",HIB,143.850,144.062
"Palabos - Grid Size: 100 (Mega Site Updates/sec)",HIB,121.931,122.23
"Palabos - Grid Size: 400 (Mega Site Updates/sec)",HIB,139.299,140.078
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,30.1443,30.2863
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,30.0147,30.036
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Low (FPS)",HIB,671.4224194,669.8590201
"Xonotic - Resolution: 1920 x 1200 - Effects Quality: Low (FPS)",HIB,671.9542910,676.0787756
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,26.5517,26.8097
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,13.8764,13.8536
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,27.4329,27.2699
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,27.7110,27.7303
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,56.4524,55.8515
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,15.3464,15.3508
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,13.7638,13.79
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,31.077,31.488
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,15.4082,15.4135
"Xonotic - Resolution: 2560 x 1440 - Effects Quality: Low (FPS)",HIB,673.1714914,687.4861314
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,51.8810,50.934
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,30.8024,30.8579
"Palabos - Grid Size: 4000 (Mega Site Updates/sec)",HIB,,
"Xonotic - Resolution: 3840 x 2160 - Effects Quality: Low (FPS)",HIB,670.0380428,675.8397046
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,561.4381904,563.7930829
"Xonotic - Resolution: 1920 x 1200 - Effects Quality: High (FPS)",HIB,561.0057748,567.9388648
"Xonotic - Resolution: 2560 x 1440 - Effects Quality: High (FPS)",HIB,560.9659015,567.977016
"Xonotic - Resolution: 3840 x 2160 - Effects Quality: High (FPS)",HIB,467.6921769,469.7486112
"Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,76.011,76.122
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,518.6729034,524.5527153
"Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,29.932,29.898
"Remhos - Test: Sample Remap Example (sec)",LIB,23.537,23.654
"Xonotic - Resolution: 1920 x 1200 - Effects Quality: Ultra (FPS)",HIB,521.4981114,521.2002993
"Xonotic - Resolution: 2560 x 1440 - Effects Quality: Ultra (FPS)",HIB,520.7893156,527.2114812
"Xonotic - Resolution: 3840 x 2160 - Effects Quality: Ultra (FPS)",HIB,420.7457662,423.3297457
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultimate (FPS)",HIB,386.9438277,386.2753935
"Xonotic - Resolution: 1920 x 1200 - Effects Quality: Ultimate (FPS)",HIB,384.7672496,386.8054656
"Xonotic - Resolution: 2560 x 1440 - Effects Quality: Ultimate (FPS)",HIB,384.0158631,381.3165184
"Xonotic - Resolution: 3840 x 2160 - Effects Quality: Ultimate (FPS)",HIB,311.3989499,311.7695344
"nekRS - Input: Kershaw (flops/rank)",HIB,2123046667,2109640000
"nekRS - Input: TurboPipe Periodic (flops/rank)",HIB,3444566667,3441770000
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,28.8773,28.9177
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,552.2812,551.16
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,16.3453,16.4828
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,61.1727,60.6621
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,255.9872,256.6381
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,62.4431,62.3112
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (items/sec)",HIB,77.5785,78.4003
"Neural Magic DeepSparse - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream (ms/batch)",LIB,12.8830,12.7473
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,86.1294,87.0186
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,185.7387,183.8144
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,28.7279,29.8626
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,34.8038,33.4783
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,148.9743,149.9629
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,107.3698,106.6629
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,91.5663,91.9798
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,10.9104,10.8616
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,323.0917,324.2731
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,49.4917,49.319
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,141.2991,146.1891
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,7.0704,6.833
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,235.8139,236.8228
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,67.8249,67.5353
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,81.3373,83.4278
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,12.2881,11.9799
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,33.0990,32.9066
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,482.7469,485.9478
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,21.5675,21.4935
"Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,46.3523,46.5115
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,119.0134,119.0879
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,134.4071,134.323
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,43.8828,43.0475
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,22.7831,23.2237
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,28.6062,28.9881
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,556.6090,550.4325
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,16.3383,16.4295
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,61.1988,60.8593
"Whisper.cpp - Model: ggml-base.en - Input: 2016 State of the Union (sec)",LIB,156.48335,151.04973
"Whisper.cpp - Model: ggml-small.en - Input: 2016 State of the Union (sec)",LIB,395.70935,363.32431
"Whisper.cpp - Model: ggml-medium.en - Input: 2016 State of the Union (sec)",LIB,1018.28439,1003.11362
"High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,10.9645,11.0163
"High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,,
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.55099,1.30181
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,4.26624,4.21682
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.177229,1.08944
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.948450,0.985098
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,4.81893,4.83565
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.69206,5.73181
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.68566,2.69872
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.76769,5.70574
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.36630,1.43664
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.57740,1.5719
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3252.18,3275.76
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,976.467,987.992
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3244.46,3227.02
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,938.102,958.843
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3235.41,3226.7
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,935.611,932.987
"Kripke - (Throughput FoM)",HIB,148243333,146215600
"Monte Carlo Simulations of Ionised Nebulae - Input: Gas HII40 (sec)",LIB,12.684,12.598
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,181.265,180.727
"QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,136.22,132.76
"QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,27.602,27.484
"QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,175.39,174.82
"QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,196.98,191.15
"GPAW - Input: Carbon Nanotube (sec)",LIB,110.846,110.949
"CP2K Molecular Dynamics - Input: H20-64 (sec)",LIB,42.966,42.112
"CP2K Molecular Dynamics - Input: H2O-DFT-LS (sec)",LIB,,
"CP2K Molecular Dynamics - Input: Fayalite-FIST (sec)",LIB,123.826,122.975
"dav1d - Video Input: Chimera 1080p (FPS)",HIB,398.39,398.2
"dav1d - Video Input: Summer Nature 4K (FPS)",HIB,222.52,222.24
"dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,597.02,597.19
"dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,374.79,374.13
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.756,3.721
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,54.148,54.556
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,126.423,127.675
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,127.136,127.68
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,10.868,10.845
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,85.308,85.496
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,308.249,305.73
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,360.924,364.28
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,5.44,5.387
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,10.931,10.892
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,13.875,13.767
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,24.877,24.801
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,38.4669,38.45
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,34.4087,34.5263
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,41.5850,41.782
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,37.3900,37.4822
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,39.3962,39.399
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,33.8311,33.9593
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.22,1.22
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.22,1.23
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.60,0.60
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: Radeon HIP (Images / Sec)",HIB,,
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: Radeon HIP (Images / Sec)",HIB,,
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: Radeon HIP (Images / Sec)",HIB,,
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: Intel oneAPI SYCL (Images / Sec)",HIB,,
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: Intel oneAPI SYCL (Images / Sec)",HIB,,
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: Intel oneAPI SYCL (Images / Sec)",HIB,,
"OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,9.86893,9.89124
"OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,9.74548,9.76771
"OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,128.572,128.663
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,4.93554,4.98028
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,4.62468,4.62434
"OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,7.67668,7.70051
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,45075000,45023000
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,51993333,51814000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,89896333,89686000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,103806667,103260000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,178100000,179170000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,206086667,206140000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,354570000,355110000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,409183333,410090000
"Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,10537667,10560000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,690800000,692130000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,795103333,799490000
"Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,20851667,20989000
"Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,1343200000,1350000000
"Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1506266667,1512100000
"Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,41277667,41475000
"Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,2250733333,2269700000
"Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1836033333,1837000000
"Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,82123667,82224000
"Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,160113333,160130000
"Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,313753333,314560000
"Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,506326667,506050000
"SQLite - Threads / Copies: 1 (sec)",LIB,106.014,105
"SQLite - Threads / Copies: 2 (sec)",LIB,243.219,237.187
"SQLite - Threads / Copies: 4 (sec)",LIB,266.581,262.624
"SQLite - Threads / Copies: 8 (sec)",LIB,291.254,284.865
"SQLite - Threads / Copies: 16 (sec)",LIB,373.820,374.33
"SQLite - Threads / Copies: 32 (sec)",LIB,505.417,502.766
"SQLite - Threads / Copies: 64 (sec)",LIB,681.448,680.811
"LevelDB - Benchmark: Hot Read (us/Op)",LIB,43.137,42.757
"LevelDB - Benchmark: Fill Sync (us/Op)",LIB,10866.014,16348.371
"LevelDB - Benchmark: Overwrite (MB/s)",HIB,27.0,27
"PETSc - Test: Streams (MB/s)",HIB,58312.0964,58276.7926
"LevelDB - Benchmark: Fill Sync (MB/s)",HIB,0.6,0.4
"LevelDB - Benchmark: Overwrite (us/Op)",LIB,262.354,262.283
"LevelDB - Benchmark: Random Fill (MB/s)",HIB,26.9,26.7
"LevelDB - Benchmark: Random Fill (us/Op)",LIB,262.981,264.868
"LevelDB - Benchmark: Random Read (us/Op)",LIB,43.493,43.547
"LevelDB - Benchmark: Seek Random (us/Op)",LIB,65.839,64.562
"LevelDB - Benchmark: Random Delete (us/Op)",LIB,245.160,245.182
"LevelDB - Benchmark: Sequential Fill (MB/s)",HIB,27.8,27.7
"LevelDB - Benchmark: Sequential Fill (us/Op)",LIB,254.942,255.488