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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2311098-NE-TR860765996
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