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