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