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AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite.

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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 3 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 15 Tests
Compression Tests 3 Tests
CPU Massive 24 Tests
Creator Workloads 18 Tests
Cryptography 2 Tests
Database Test Suite 9 Tests
Encoding 9 Tests
Fortran Tests 6 Tests
Game Development 4 Tests
HPC - High Performance Computing 13 Tests
Java Tests 4 Tests
Common Kernel Benchmarks 5 Tests
LAPACK (Linear Algebra Pack) Tests 2 Tests
Machine Learning 5 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 4 Tests
Multi-Core 33 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 7 Tests
OpenMPI Tests 9 Tests
Programmer / Developer System Benchmarks 11 Tests
Python Tests 8 Tests
Raytracing 2 Tests
Renderers 3 Tests
Scientific Computing 4 Tests
Server 11 Tests
Server CPU Tests 19 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 3 Tests

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November 07 2023
  20 Hours, 53 Minutes
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November 09 2023
  19 Hours, 54 Minutes
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tr AMD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads) Motherboard,,ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS),ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse Memory,,128GB,128GB Disk,,2048GB SOLIDIGM SSDPFKKW020X7,2048GB SOLIDIGM SSDPFKKW020X7 Graphics,,ASUS NVIDIA NV106 2GB,ASUS NVIDIA NV106 2GB Audio,,AMD Starship/Matisse,AMD Starship/Matisse Monitor,,VA2431,VA2431 Network,,2 x Intel X550 + Intel Wi-Fi 6 AX200,2 x Intel X550 + Intel Wi-Fi 6 AX200 OS,,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.5.0-10-generic (x86_64),6.5.0-10-generic (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server + Wayland,X Server + Wayland Display Driver,,nouveau,nouveau OpenGL,,4.3 Mesa 23.2.1-1ubuntu3,4.3 Mesa 23.2.1-1ubuntu3 Compiler,,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"a","b" "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 ()",,, "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 ()",,, "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 ()",,, "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 ()",,, "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 ()",,, "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 ()",,, "Stress-NG - Test: Hash (Bogo Ops/s)",HIB,6322695.54,6336112.65 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,297.92,297.98 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,380.81,380.65 "Stress-NG - Test: Pipe (Bogo Ops/s)",HIB,13012555.28,13250944.77 "Stress-NG - Test: Poll (Bogo Ops/s)",HIB,2739015.75,2741243.13 "Stress-NG - Test: Zlib (Bogo Ops/s)",HIB,4029.26,4024.18 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,3131000.15,3184742.79 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,397.05,397.08 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,8070540.93,7857209.56 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,196.84,199.69 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,67835.64,68002.69 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,29708642.78,29792020.95 "Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,4702.23,4708.68 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,45021.86,46465.59 "Stress-NG - Test: Pthread (Bogo Ops/s)",HIB,100016.81,99776.44 "Stress-NG - Test: AVL Tree (Bogo Ops/s)",HIB,279.35,279.52 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,2252032.27,2255307.55 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,329200.06,335277.7 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,1361420.59,1352360.45 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,70228.2,70596.28 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,43582244.06,43835038.74 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,129845.95,130745.18 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,210549.07,210762.25 "Stress-NG - Test: AVX-512 VNNI (Bogo Ops/s)",HIB,1350185.39,1354114.89 "Stress-NG - Test: Function Call (Bogo Ops/s)",HIB,22601.2,22617.24 "Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,6949614.18,6977389.16 "Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,9738.89,9831.78 "Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,3732.12,3727.55 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,8525.01,8549.47 "Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,19219.26,19239.65 "Stress-NG - Test: Mixed Scheduler (Bogo Ops/s)",HIB,20266.39,20370.2 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,18841.57,18923.68 "Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,925723.03,923677.84 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,4803177.96,5347449.26 "Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,72143203.62,68790290.88 "Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,66891.41,66994.74 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,30660102.97,33023477.62 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,737.41,738.21 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,13970811.83,13973199.87 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,41653778860,41597335100 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,13408890880,12871751730 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,123425530680,123417875470 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,132458672400,132491461970 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,121391741680,121341157650 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,82745285840,82789783190 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,, "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,, "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,, "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,, "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,7.55,7.48 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,70.53,70.16 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,70.41,70.35 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,596.35,606.21 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,15.97,16.01 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,2108.59,2117.07 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,172.9,171.61 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,1032.69,1035.97 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,679.25,681.99 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,3062.06,3069.68 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,447.22,446.46 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,85.19,85.46 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1599.18,1600.31 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,880.45,886.62 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,297.74,301.95 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,23339.73,23230.57 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,306.99,313.9 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,42663.03,42770.7 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,34.8874,34.7906 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,30.7021,31.0474 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,34.9525,35.1599 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,31.5277,31.3765 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,32.7938,32.6715 "Embree - Binary: Pathtracer oneAPI SYCL - Model: Crown (FPS)",HIB,, "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,28.4954,28.4666 "Embree - Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon (FPS)",HIB,, "Embree - Binary: Pathtracer oneAPI SYCL - Model: Asian Dragon Obj (FPS)",HIB,, "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,19.32,19.43 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,19.86,19.86 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,62.16,62.97 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,65.58,66.62 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,40.83,40.71 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,54.12,53.96 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,66.67,66.48 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,147.3,143.04 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,206.73,205.53 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,232.33,229.07 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,5.056,5.016 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,77.101,78.2 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,170.988,175.725 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,173.545,175.416 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,13.108,12.747 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,126.126,132.961 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,521.248,528.997 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,604.645,613.474 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 4K (FPS)",HIB,6.77,6.78 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 4K (FPS)",HIB,105.5,106.53 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 4K (FPS)",HIB,185.24,185.36 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,26.8,26.82 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,332.59,331.31 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,584.8,584.23 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 4K (FPS)",HIB,93.67,97.08 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,390.92,399.47 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K (FPS)",HIB,136.79,136.35 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,460.56,461.01 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 4K (FPS)",HIB,117.63,117.99 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,385,385.27 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,13.3,13.32 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,14.97,15 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,43.89,44.47 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,50.24,50.51 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,38.34,38.7 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,41.57,41.57 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,47.87,48.46 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,142.39,144.45 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,155.73,155.71 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,167.65,168.61 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,6.668,6.746 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,12.006,12.184 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,18.335,18.762 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,32.371,33.591 "x264 - Video Input: Bosphorus 4K (FPS)",HIB,67.3,67.4 "x264 - Video Input: Bosphorus 1080p (FPS)",HIB,231.86,231.15 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,28.47,28.88 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,87.82,88.34 "High Performance Conjugate Gradient - X Y Z: 192 192 192 - RT: 60 (GFLOP/s)",HIB,, "High Performance Conjugate Gradient - X Y Z: 192 192 192 - RT: 1800 (GFLOP/s)",HIB,, "High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,12.0751,12.0424 "High Performance Conjugate Gradient - X Y Z: 144 144 144 - RT: 60 (GFLOP/s)",HIB,11.7844,12.1205 "High Performance Conjugate Gradient - X Y Z: 160 160 160 - RT: 60 (GFLOP/s)",HIB,11.8175,11.9273 "libxsmm - M N K: 128 (GFLOPS/s)",HIB,537.7,540 "libxsmm - M N K: 256 (GFLOPS/s)",HIB,619,611.2 "libxsmm - M N K: 32 (GFLOPS/s)",HIB,162.2,163 "libxsmm - M N K: 64 (GFLOPS/s)",HIB,315.8,315.2 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.03,1.03 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,1.04,1.04 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.51,0.51 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,99.65,99.16 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,118.02,118.04 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,133.62,134.08 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,58.62,59.48 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,19.52,19.48 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,60.86,59.3 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,19.65,19.68 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,56.93,57.7 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,18.89,19.03 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,525,529 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,288,286 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,10.0576,10.1084 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,9.93418,9.94526 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,175.737,173.821 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,4.69553,4.69339 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,4.35238,4.4039 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,7.47547,7.46218 "Stream - Type: Copy (MB/s)",HIB,64896.2,64274.7 "Stream - Type: Scale (MB/s)",HIB,62703.7,61955 "Stream - Type: Triad (MB/s)",HIB,70199.1,69457.1 "Stream - Type: Add (MB/s)",HIB,69855,69373.7 "C-Blosc - Test: blosclz shuffle - Buffer Size: 8MB (MB/s)",HIB,15164.3,14597.4 "C-Blosc - Test: blosclz shuffle - Buffer Size: 16MB (MB/s)",HIB,15169.3,15408.5 "C-Blosc - Test: blosclz shuffle - Buffer Size: 32MB (MB/s)",HIB,13381.6,13404.6 "C-Blosc - Test: blosclz shuffle - Buffer Size: 64MB (MB/s)",HIB,10740.6,10668.3 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 8MB (MB/s)",HIB,12665.5,12827.7 "C-Blosc - Test: blosclz shuffle - Buffer Size: 128MB (MB/s)",HIB,8198.4,8078.5 "C-Blosc - Test: blosclz shuffle - Buffer Size: 256MB (MB/s)",HIB,5776.8,5705.1 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 8MB (MB/s)",HIB,16072.8,15774 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 16MB (MB/s)",HIB,12068.3,12332.3 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 32MB (MB/s)",HIB,10219.1,10351.5 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 64MB (MB/s)",HIB,8342.5,8369.4 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 16MB (MB/s)",HIB,15922.2,15943.5 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 32MB (MB/s)",HIB,13355.5,12988.4 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 64MB (MB/s)",HIB,10631,10382.5 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 128MB (MB/s)",HIB,6644.5,6695.8 "C-Blosc - Test: blosclz noshuffle - Buffer Size: 256MB (MB/s)",HIB,4948.4,4917.3 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 128MB (MB/s)",HIB,8104.5,8056.6 "C-Blosc - Test: blosclz bitshuffle - Buffer Size: 256MB (MB/s)",HIB,5751.6,5581.8 "Zstd Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,2990.1,3044.7 "Zstd Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,1624.4,1619.8 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,854.3,917.1 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,1755.3,1766.9 "Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,248.4,247.9 "Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,1819.6,1784.2 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,17.3,17.3 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1563.8,1570.7 "Zstd Compression - Compression Level: 3, Long Mode - Compression Speed (MB/s)",HIB,658.5,644 "Zstd Compression - Compression Level: 3, Long Mode - Decompression Speed (MB/s)",HIB,1660.3,1640.3 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,784.8,795 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,1796.9,1786 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,9.27,9.2 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1488.7,1518.2 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,101118.4,100146.3 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3545.3,3536.7 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,196462,193390 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,168083,179127 "Apache Cassandra - Test: Writes (Op/s)",HIB,215613,217620 "RocksDB - Test: Random Fill (Op/s)",HIB,523821,519011 "RocksDB - Test: Random Read (Op/s)",HIB,145256029,145417830 "RocksDB - Test: Update Random (Op/s)",HIB,510741,508214 "RocksDB - Test: Sequential Fill (Op/s)",HIB,567357,562039 "RocksDB - Test: Random Fill Sync (Op/s)",HIB,47898,47898 "RocksDB - Test: Read While Writing (Op/s)",HIB,4617736,4434823 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,2145483,2149948 "Apache Hadoop - Operation: Open - Threads: 20 - Files: 100000 (Ops per sec)",HIB,574713,584795 "Apache Hadoop - Operation: Create - Threads: 20 - Files: 100000 (Ops per sec)",HIB,31279,30432 "Apache Hadoop - Operation: Delete - Threads: 20 - Files: 100000 (Ops per sec)",HIB,36724,36298 "Apache Hadoop - Operation: Rename - Threads: 20 - Files: 100000 (Ops per sec)",HIB,34566,34614 "Apache Hadoop - Operation: File Status - Threads: 20 - Files: 100000 (Ops per sec)",HIB,465116,806452 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (point/sec)",HIB,13379847,13513355 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,29150108,29282060 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,43427177,41795296 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (point/sec)",HIB,24597150,24346407 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,50413957,50714345 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,66016855,64703976 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (point/sec)",HIB,47212437,47738065 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 (point/sec)",HIB,46465631,46244208 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,79251708,80230517 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (point/sec)",HIB,77968089,77775125 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,92191074,91813947 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,91761285,91200685 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (point/sec)",HIB,61710745,61997626 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 (point/sec)",HIB,62929621,61785235 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,89138128,88693320 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (point/sec)",HIB,90156510,90910792 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,99639931,101308261 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,103115030,102174855 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,274.47,284.63 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,293.77,293.38 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,298.05,299.37 "John The Ripper - Test: bcrypt (Real C/S)",HIB,25292,25327 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,57766,57561 "John The Ripper - Test: Blowfish (Real C/S)",HIB,25277,25234 "John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,18054000,17818000 "John The Ripper - Test: MD5 (Real C/S)",HIB,711238,713164 "nginx - Connections: 200 (Reqs/sec)",HIB,137957.75,134010.32 "nginx - Connections: 500 (Reqs/sec)",HIB,132166.25,131826.31 "nginx - Connections: 1000 (Reqs/sec)",HIB,130670.29,130170.09 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,7413.1,7418.1 "NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,62863.84,63259.23 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,14846.47,14955.35 "NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,2819.63,2861.56 "NAS Parallel Benchmarks - Test / Class: EP.D (Mop/s)",HIB,2633.78,2871.66 "NAS Parallel Benchmarks - Test / Class: FT.C (Mop/s)",HIB,39511.98,39854.79 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,1626.47,1630.76 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,71297.96,71624.54 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,34749.27,34538.23 "NAS Parallel Benchmarks - Test / Class: SP.B (Mop/s)",HIB,35080.84,35972.61 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,24400.17,24381.54 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only (TPS)",HIB,1468563,1445315 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only (TPS)",HIB,1427334,1437151 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Only (TPS)",HIB,1447730,1446506 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Write (TPS)",HIB,1203,1083 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Write (TPS)",HIB,725,762 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Write (TPS)",HIB,665,620 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,1290633,1283032 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,1272693,1276741 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,1256024,1259094 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,50670,49565 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,45945,18857 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,42390,19233 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,484191,484700.3 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (Latency)",LIB,123.39,119.9 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,138.01,137.31 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,142.97,156.28 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (Latency)",LIB,70.75,72.37 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,85.36,84.64 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,103.83,109.63 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (Latency)",LIB,38.98,38.23 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 (Latency)",LIB,145.44,145.56 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,58.53,57.16 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (Latency)",LIB,205.79,211.63 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,80.92,81.03 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,272.97,285.34 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 (Latency)",LIB,30.36,30.32 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 (Latency)",LIB,114.16,117.53 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,53.34,53.03 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (Latency)",LIB,203.77,204.31 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,76.83,75.43 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,282.36,289.64 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,10.3224,16.2691 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,7.15637,10.3234 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,16.1894,21.3399 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.586178,0.758773 "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,9.72501,9.2582 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,15.778,15.4529 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,3.56242,9.5078 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,10.9538,10.752 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8.42273,5.15828 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.77464,3.50493 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,7675.29,7682.64 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4811.2,4521.66 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7834.31,7694.07 "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,4431.4,4295.22 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7757.3,7832.07 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4308.92,4339.32 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4552,4561 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,4632,4634 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,5368,5376 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,77778,77553 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,149624,149102 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,78446,78690 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,152912,151941 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,90406,89956 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,177262,175915 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1150,1150 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1169,1165 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1357,1347 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,18334,18351 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,41121,41088 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,18684,18587 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,41795,42120 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,21662,21504 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,47568,47429 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.34,0.346 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.56,0.557 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.691,0.691 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,415.481,461.893 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,1103.871,1049.641 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,1504.467,1613.434 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.387,0.39 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.629,0.627 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.796,0.794 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,9.868,10.088 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,17.412,42.424 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,23.59,51.994 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,18.62,17.38 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,16.01,8.22 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,26.1,6.86 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,23.63,16.14 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,13.13,15.44 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,17.57,26.44 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.95,2.69 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,22.28,28.44 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,41.84,35.91 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,13.61,13.15 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,17,9.42 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,43.2,42.96 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,33.39,22.69 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,17.17,14.63 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,24.43,37.1 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,231.58,198.61 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,12.77,8.26 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1579.27,1592.16 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,169.97,170.89 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,170.23,170.43 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,20.1,19.77 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,748.82,747.65 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,5.68,5.65 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,69.33,69.86 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,11.61,11.57 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,17.65,17.58 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,3.91,3.9 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,26.81,26.86 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,140.75,140.2 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,15,14.99 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,13.61,13.52 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,80.54,79.42 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.02,1.02 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,78.11,76.4 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.55,0.55 "SQLite - Threads / Copies: 1 (sec)",LIB,8.138,8.034 "SQLite - Threads / Copies: 2 (sec)",LIB,10.08,9.773 "SQLite - Threads / Copies: 4 (sec)",LIB,13.512,13.706 "SQLite - Threads / Copies: 8 (sec)",LIB,20.108,20.299 "CloverLeaf - Input: clover_bm (sec)",LIB,59.42,57.51 "CloverLeaf - Input: clover_bm16 (sec)",LIB,937.87,936.22 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,107.77,107.74 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,68.277,71.245 "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,75.783,91.703 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,39.337,38.976 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,58.11,57.776 "Rodinia - Test: OpenMP Streamcluster (sec)",LIB,36.494,36.303 "NWChem - Input: C240 Buckyball (sec)",LIB,3570,3526.2 "Monte Carlo Simulations of Ionised Nebulae - Input: Gas HII40 (sec)",LIB,13.269,13.284 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,109.717,103.344 "OpenRadioss - Model: Bumper Beam (sec)",LIB,110.95,107.3 "OpenRadioss - Model: Ford Taurus 10M (sec)",LIB,31662.87,31568.8 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,576.19,581.15 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,46.77,48.16 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,149.96,153.39 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,85.49,83.94 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,265.44,259.07 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,27.47009054,28.071304308 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,64.133233251,65.067465554 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,30.324154763,30.015128844 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,38.876595398,38.758710563 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,75.987330693,76.446433843 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,4.963,5.269 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,166.513,168.751 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,432.809,430.139 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,, "Timed GCC Compilation - Time To Compile (sec)",LIB,906.348,903.44 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,245.475,244.689 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,162.602,161.373 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,51.786,51.671 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,520.784,517.032 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,298.738,298.923 "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,351.297,342.615 "Timed Node.js Compilation - Time To Compile (sec)",LIB,247.942,246.833 "Build2 - Time To Compile (sec)",LIB,, "Apache Spark - Row Count: 1000000 - Partitions: 100 (sec)",LIB,, "Apache Spark - Row Count: 1000000 - Partitions: 500 (sec)",LIB,, "Apache Spark - Row Count: 10000000 - Partitions: 100 (sec)",LIB,, "Apache Spark - Row Count: 10000000 - Partitions: 500 (sec)",LIB,, "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,61.39,61.072 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,48.4,48.08 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,124.71,124.18 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,58.35,58.61 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,474.23,473.41 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,148.97,148.2 "Whisper.cpp - Model: ggml-base.en - Input: 2016 State of the Union (sec)",LIB,147.25409,157.4342 "Whisper.cpp - Model: ggml-small.en - Input: 2016 State of the Union (sec)",LIB,367.30603,361.46562 "Whisper.cpp - Model: ggml-medium.en - Input: 2016 State of the Union (sec)",LIB,888.52469,900.33531 "QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,20.84,20.13 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,210.95,209.54 "QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,125.4,119.16 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,30.812,31.272 "QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,257.31,251.77 "QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,166.38,163.51