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.

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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 5 Tests
Creator Workloads 9 Tests
Database Test Suite 2 Tests
Encoding 4 Tests
Fortran Tests 5 Tests
HPC - High Performance Computing 10 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 3 Tests
MPI Benchmarks 4 Tests
Multi-Core 8 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 11 Tests
Python Tests 6 Tests
Scientific Computing 5 Tests
Server 2 Tests
Server CPU Tests 5 Tests
Video Encoding 3 Tests

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June 23 2023
  13 Hours, 58 Minutes
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June 24 2023
  4 Hours, 14 Minutes
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  9 Hours, 6 Minutes
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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: x86_64 RdRand ()",,, "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 "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 "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: 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 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,10692419.88,10677047.79 "nekRS - Input: Kershaw (flops/rank)",HIB,2123046667,2109640000 "nekRS - Input: TurboPipe Periodic (flops/rank)",HIB,3444566667,3441770000 "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 "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 "Xonotic - Resolution: 2560 x 1440 - Effects Quality: Low (FPS)",HIB,673.1714914,687.4861314 "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 "Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,518.6729034,524.5527153 "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 "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 "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 "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,, "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,30.8024,30.8579 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,13.7638,13.79 "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: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,56.4524,55.8515 "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: 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: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,15.4082,15.4135 "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: 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 "libxsmm - M N K: 128 (GFLOPS/s)",HIB,635.8,635.4 "libxsmm - M N K: 256 (GFLOPS/s)",HIB,910.4,907.4 "libxsmm - M N K: 32 (GFLOPS/s)",HIB,160.5,160.7 "libxsmm - M N K: 64 (GFLOPS/s)",HIB,318.5,318.7 "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 "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: Synchronous Single-Stream (items/sec)",HIB,16.3453,16.4828 "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: Synchronous Single-Stream (items/sec)",HIB,77.5785,78.4003 "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: Synchronous Single-Stream (items/sec)",HIB,28.7279,29.8626 "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: Synchronous Single-Stream (items/sec)",HIB,91.5663,91.9798 "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: Synchronous Single-Stream (items/sec)",HIB,141.2991,146.1891 "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: Synchronous Single-Stream (items/sec)",HIB,81.3373,83.4278 "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: Synchronous Single-Stream (items/sec)",HIB,21.5675,21.4935 "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: Synchronous Single-Stream (items/sec)",HIB,43.8828,43.0475 "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: Synchronous Single-Stream (items/sec)",HIB,16.3383,16.4295 "Laghos - Test: Triple Point Problem (Major Kernels Rate)",HIB,220.46,219.12 "Laghos - Test: Sedov Blast Wave, ube_922_hex.mesh (Major Kernels Rate)",HIB,264.34,265.390123291 "LevelDB - Benchmark: Fill Sync (MB/s)",HIB,0.6,0.4 "LevelDB - Benchmark: Overwrite (MB/s)",HIB,27.0,27 "LevelDB - Benchmark: Random Fill (MB/s)",HIB,26.9,26.7 "LevelDB - Benchmark: Sequential Fill (MB/s)",HIB,27.8,27.7 "PETSc - Test: Streams (MB/s)",HIB,58312.0964,58276.7926 "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 "Palabos - Grid Size: 500 (Mega Site Updates/sec)",HIB,143.850,144.062 "Palabos - Grid Size: 1000 (Mega Site Updates/sec)",HIB,, "Palabos - Grid Size: 4000 (Mega Site Updates/sec)",HIB,, "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 "Kripke - (Throughput FoM)",HIB,148243333,146215600 "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 (us/Op)",LIB,262.354,262.283 "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 (us/Op)",LIB,254.942,255.488 "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 "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 (ms/batch)",LIB,61.1727,60.6621 "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 (ms/batch)",LIB,12.8830,12.7473 "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 (ms/batch)",LIB,34.8038,33.4783 "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 (ms/batch)",LIB,10.9104,10.8616 "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 (ms/batch)",LIB,7.0704,6.833 "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 (ms/batch)",LIB,12.2881,11.9799 "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 (ms/batch)",LIB,46.3523,46.5115 "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 (ms/batch)",LIB,22.7831,23.2237 "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 (ms/batch)",LIB,61.1988,60.8593 "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 "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 "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 "Remhos - Test: Sample Remap Example (sec)",LIB,23.537,23.654 "Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,29.932,29.898 "Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,76.011,76.122 "Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,28.695,28.83 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,31.077,31.488 "GPAW - Input: Carbon Nanotube (sec)",LIB,110.846,110.949 "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 "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