AMD EPYC 4364P EPYC 4564P Intel Xeon E-2488 Benchmarks

Benchmarks preparing for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2405244-NE-EPYC4004108
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C++ Boost Tests 5 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 10 Tests
C/C++ Compiler Tests 19 Tests
Compression Tests 3 Tests
CPU Massive 39 Tests
Creator Workloads 29 Tests
Cryptocurrency Benchmarks, CPU Mining Tests 2 Tests
Cryptography 6 Tests
Database Test Suite 10 Tests
Encoding 9 Tests
Fortran Tests 9 Tests
Game Development 6 Tests
HPC - High Performance Computing 29 Tests
Imaging 5 Tests
Java 4 Tests
Common Kernel Benchmarks 5 Tests
Linear Algebra 2 Tests
Large Language Models 2 Tests
Machine Learning 9 Tests
Molecular Dynamics 10 Tests
MPI Benchmarks 10 Tests
Multi-Core 51 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 7 Tests
OpenMPI Tests 17 Tests
Programmer / Developer System Benchmarks 15 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 6 Tests
Scientific Computing 15 Tests
Software Defined Radio 2 Tests
Server 18 Tests
Server CPU Tests 26 Tests
Single-Threaded 5 Tests
Texture Compression 2 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 3 Tests

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  Test
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Xeon E-2488 @ DDR5-4800
April 01
  2 Days, 4 Hours, 1 Minute
EPYC 4364P @ DDR5-4800
March 26
  2 Days, 29 Minutes
EPYC 4364P @ DDR5-5200
April 28
  2 Days, 33 Minutes
EPYC 4564P @ DDR5-4800
April 21
  1 Day, 15 Hours, 46 Minutes
EPYC 4564P @ DDR5-5200
April 27
  1 Day, 14 Hours, 12 Minutes
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  1 Day, 21 Hours, 24 Minutes

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AMD EPYC 4364P EPYC 4564P Intel Xeon E-2488 Benchmarks Benchmarks preparing for a future article by Michael Larabel. ,,"Xeon E-2488 @ DDR5-4800","EPYC 4364P @ DDR5-4800","EPYC 4364P @ DDR5-5200","EPYC 4564P @ DDR5-4800","EPYC 4564P @ DDR5-5200" Processor,,Intel Xeon E E-2488 @ 3.20GHz (8 Cores / 16 Threads),AMD EPYC 4364P 8-Core @ 5.57GHz (8 Cores / 16 Threads),AMD EPYC 4364P 8-Core @ 5.57GHz (8 Cores / 16 Threads),AMD EPYC 4564P 16-Core @ 5.88GHz (16 Cores / 32 Threads),AMD EPYC 4564P 16-Core @ 5.88GHz (16 Cores / 32 Threads) Motherboard,,Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS),Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS),Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS),Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS),Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS) Chipset,,Intel Raptor Lake-S PCH,AMD Device 14d8,AMD Device 14d8,AMD Device 14d8,AMD Device 14d8 Memory,,2 x 32GB DRAM-4800MT/s Micron MTC20C2085S1EC48BA1,2 x 32GB DRAM-4800MT/s Micron MTC20C2085S1EC48BA1,2 x 32GB DRAM-5200MT/s,2 x 32GB DRAM-4800MT/s Micron MTC20C2085S1EC48BA1,2 x 32GB DRAM-5200MT/s Disk,,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR,3201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFR Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED Network,,2 x Intel I210,2 x Intel I210,2 x Intel I210,2 x Intel I210,2 x Intel I210 Audio,,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio OS,,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04,Ubuntu 24.04 Kernel,,6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64),6.8.0-11-generic (x86_64) Desktop,,GNOME Shell 45.3,GNOME Shell 45.3,GNOME Shell 45.3,GNOME Shell 45.3,GNOME Shell 45.3 Display Server,,X Server 1.21.1.11,X Server 1.21.1.11,X Server 1.21.1.11,X Server 1.21.1.11,X Server 1.21.1.11 Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080 ,,"Xeon E-2488 @ DDR5-4800","EPYC 4364P @ DDR5-4800","EPYC 4364P @ DDR5-5200","EPYC 4564P @ DDR5-4800","EPYC 4564P @ DDR5-5200" "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,61.49,68.30,67.48,66.63,65.69 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,32.25,45.20,45.11,45.76,43.38 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,12.452,26.365,26.294,49.812,49.953 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,12.550,26.494,26.357,49.923,49.985 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,17858353.80,12527831.36,12445240.76,16207347.12,16150369.04 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,4023464.53,5854131.56,5997921.20,2537425.46,2446936.66 "Stress-NG - Test: x86_64 RdRand (Bogo Ops/s)",HIB,81538.34,4400145.01,4374980.16,8497821.55,8469095.71 "Stress-NG - Test: Floating Point (Bogo Ops/s)",HIB,4740.28,4283.48,4251.39,8242.96,8199.65 "Stress-NG - Test: Fused Multiply-Add (Bogo Ops/s)",HIB,29762395.57,30389834.82,29927440.69,57429956.15,56410032.25 "Stress-NG - Test: Matrix 3D Math (Bogo Ops/s)",HIB,2778.89,1953.52,2029.45,1924.70,2011.17 "Stress-NG - Test: Vector Floating Point (Bogo Ops/s)",HIB,28846.06,30715.14,30936.50,59053.01,59037.14 "Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,9138.29,8606.94,8556.72,16537.83,16452.47 "Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,576480.15,416118.50,413926.82,781906.97,778238.33 "Stress-NG - Test: AVX-512 VNNI (Bogo Ops/s)",HIB,1125583.01,1376354.00,1371242.64,2572055.58,2571394.82 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,12336557263,17965660883,17876358337,33924881420,33989652273 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,4429397160,5813555230,5794405307,11004843967,11041579923 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,64812725680,132890512590,133134074673,250497225070,251224402513 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,56193249190,113843625530,113941258877,214525919597,215336847677 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,34651855800,68362354417,68366108810,129320991313,129853526473 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,23800263020,48632082067,48542739663,91743101110,92129622150 "miniFE - Problem Size: Small (CG Mflops)",HIB,9869.74,7278.87,7325.10,7330.07,7673.66 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,453703880,350656750,352361775,362574433,378697000 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,178.15,179.98,179.99,186.71,186.42 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,28.89,32.03,31.95,34.06,34.21 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,58.75,65.45,65.26,69.24,69.80 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,58.75,65.27,65.35,69.52,69.81 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,2.65,7.19,7.14,13.46,13.52 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,10.41,14.07,13.97,26.44,26.46 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,7499.47,18754.59,18615.12,34850.47,34815.39 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,18507.31,26465.33,26230.85,49580.07,49485.35 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,29.83,54.11,55.11,86.56,88.84 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,29.71,54.23,54.98,87.50,88.32 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,1022.10,1427.32,1417.33,2669.64,2672.51 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,265.83,728.18,723.13,1359.29,1362.00 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,500.86,882.75,879.50,1648.32,1653.69 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,249.02,465.15,472.57,680.56,701.84 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,401.42,834.18,833.73,1551.75,1556.07 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,33.74,82.32,82.80,133.65,136.73 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,816.17,1791.06,1781.62,3283.98,3269.12 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,1559.06,2522.56,2495.55,4743.73,4734.27 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,150.64,392.93,392.23,726.61,729.84 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,174.92,422.62,417.64,794.33,795.05 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,101.21,221.52,224.43,302.45,317.25 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,219.86,273.50,275.72,462.96,476.63 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,437.96,1036.33,1029.88,1938.68,1938.32 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,523.02,980.84,991.32,1544.55,1587.74 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,16.5757,18.3544,18.4511,31.5835,32.2209 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,14.5499,15.5714,15.6889,26.8839,27.3873 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,13.3883,16.3264,16.4625,30.7908,31.3658 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,649.426,621.633,633.291,711.526,728.577 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,104.614,121.437,122.908,160.654,165.285 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,548.042,539.872,546.706,649.204,660.336 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,105.280,123.638,125.277,164.852,170.214 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,120.533,147.312,148.336,187.537,189.413 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,36.140,46.837,47.285,71.140,72.744 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,15.918,19.962,19.891,23.944,24.171 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,4.348,5.711,5.742,7.831,7.838 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,9.16,12.31,12.28,22.86,23.10 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 4K (FPS)",HIB,2.26,3.04,3.04,5.74,5.80 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,168.39,178.68,178.20,307.89,311.95 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 4K (FPS)",HIB,47.98,56.95,57.23,97.70,99.61 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,383.64,358.54,361.05,545.31,560.81 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 4K (FPS)",HIB,101.83,107.65,109.03,153.78,158.94 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,221.33,201.53,203.16,355.84,364.90 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 4K (FPS)",HIB,59.56,61.45,61.90,97.12,100.00 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,295.69,249.86,251.44,408.36,419.26 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K (FPS)",HIB,83.19,74.93,76.06,107.37,111.01 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,289.26,240.66,242.58,398.58,408.42 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 4K (FPS)",HIB,79.85,70.29,71.48,99.84,103.52 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,84.33,89.23,89.12,117.25,118.06 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,19.48,17.73,17.61,34.13,34.65 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,50.47,64.80,64.68,87.51,88.30 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,103.04,129.55,129.02,184.98,186.56 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,139.72,168.47,168.08,245.56,248.39 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,197.51,226.69,226.13,299.12,301.57 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,9.28,12.48,12.49,21.80,22.02 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,23.05,31.05,31.04,47.67,48.11 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,28.64,38.85,38.82,62.23,62.56 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,39.59,52.25,52.30,80.50,81.23 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,36.59,45.75,45.63,63.89,64.16 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,89.31,112.05,111.78,165.55,166.81 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,96.33,120.30,119.83,180.54,181.83 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,115.40,143.28,142.97,201.92,203.39 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,6.62,8.62,8.61,15.70,15.92 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,18.97,25.32,25.25,42.20,42.60 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,20.17,26.73,26.65,45.87,46.41 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,24.69,32.09,31.86,54.07,54.54 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,15.463,18.902,18.773,22.997,23.190 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,40.067,44.584,45.144,50.414,50.914 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.975,5.681,5.693,7.746,7.818 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,11.768,13.083,13.141,17.321,17.435 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,311.310,659.131,657.345,1245.304,1248.810 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,313.737,662.344,658.931,1248.077,1249.619 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,4.204110,5.160364,5.330500,9.536711,9.577753 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,85.0062,74.1317,77.5196,125.536,127.931 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,26.4787,22.4741,23.7179,35.0651,37.2403 "High Performance Conjugate Gradient - X Y Z: 104 104 104 - RT: 60 (GFLOP/s)",HIB,7.58350,6.67485,6.73761,6.94846,7.22104 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,1742.9,1690.9,1699.3,3239.4,3266.9 "Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.42,0.48,0.48,0.85,0.86 "Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.42,0.48,0.48,0.85,0.86 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.21,0.23,0.23,0.40,0.41 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,13.71,16.77,17.47,14.78,14.93 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,18.50,14.53,15.01,14.37,14.96 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,51.33,62.02,62.99,57.21,57.34 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,23.19,30.52,30.79,38.96,39.99 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,160.52,171.11,172.89,236.71,242.49 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,78.79,92.82,93.71,131.79,135.30 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,23.10,30.22,30.53,39.07,40.24 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,173.78,205.32,206.40,316.11,322.53 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,78.17,91.42,92.37,129.59,133.21 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,23.07,30.33,30.63,39.37,40.68 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,189.14,237.76,237.57,405.64,409.96 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,76.84,90.98,91.77,128.54,132.13 "TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,22.98,30.41,30.70,39.73,41.02 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,192.28,240.74,240.23,422.88,425.47 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,76.13,91.07,91.90,129.06,132.62 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,7.83432,10.46448,10.70547,10.3104,10.2115 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,8.09421,9.32307,9.29179,11.6777,11.5199 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,1.042812,1.12597,1.16054,1.76384,1.76349 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,75.8803,93.1564,91.5855,132.293,133.322 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,10.9265,11.7495,15.2174,15.2718,15.1443 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,11.5372,12.2597,12.5483,15.8484,15.5560 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,126.674,128.008,123.952,131.438,133.168 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,123.284,120.909,120.280,118.910,122.627 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,23.0436,27.7125,27.0247,36.5624,37.2714 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,224.106,327.525,323.381,401.349,422.417 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,214.547,325.209,322.610,386.409,380.818 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,587.732,674.506,676.652,894.660,895.773 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,557.408,680.951,677.583,833.520,829.194 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inferences/sec)",HIB,42.3505,52.3449,51.9129,60.0604,53.5757 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,41.0093,51.7236,50.5310,51.7844,52.7214 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inferences/sec)",HIB,169.620,142.061,139.477,157.010,162.329 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inferences/sec)",HIB,161.313,142.816,141.629,152.044,156.773 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,288,327,331,596,603 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/ao/real_time (Items/sec)",HIB,2.73496,3.87827,3.91070,7.45782,7.46649 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time (Items/sec)",HIB,2.63851,3.82321,3.82138,7.31921,7.36909 "OSPRay - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time (Items/sec)",HIB,3.79539,4.65305,4.66757,8.92149,8.97813 "OSPRay - Benchmark: particle_volume/ao/real_time (Items/sec)",HIB,5.93161,4.58353,4.63828,8.81078,8.98399 "OSPRay - Benchmark: particle_volume/scivis/real_time (Items/sec)",HIB,5.88640,4.64920,4.61871,8.81722,8.98195 "OSPRay - Benchmark: particle_volume/pathtracer/real_time (Items/sec)",HIB,157.969,168.642,170.390,219.737,220.907 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,315,244,255,269,278 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,70,76,76,116,119 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,49,50,50,93,94 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,244,251,255,332,338 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,317,169,168,161,167 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,36,31,30,57,58 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,130,138,139,246,250 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,430017.460583,505633.419425,499103.502905,954988.728979,951674.506461 "Aircrack-ng - (k/s)",HIB,35441.707,48802.996,48527.815,92030.349,92259.953 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,119.86,163.88,162.88,310.84,308.21 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,38847,51370,51087,97753,97340 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,26527,32010,31903,61347,61360 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,4843.72,6023.38,5972.09,11228.13,11337 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,278.09,332.40,330.62,644.74,633.44 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,56160,74883,74513,143480,142753 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,1356.31,1691.29,1674.99,3196.42,3179.32 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,1437.47,1868.89,1851.25,3541.50,3500.13 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,3294.49,4405.85,4377.74,8421.15,8356.74 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,13933,18060,17983,34753,34640 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,6037.26,8437.93,8389.15,16317,16120 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,2.13,2.74,2.75,4.96,5.00 "LuxCoreRender - Scene: Rainbow Colors and Prism - Acceleration: CPU (M samples/sec)",HIB,9.35,11.89,11.93,16.94,16.98 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec)",HIB,1.69,2.41,2.41,4.62,4.65 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,3.58,4.42,4.42,7.70,7.72 "LuxCoreRender - Scene: Danish Mood - Acceleration: CPU (M samples/sec)",HIB,1.45,2.06,2.10,4.14,4.18 "SecureMark - Benchmark: SecureMark-TLS (marks)",HIB,426706,437475,430421,435859,429779 "PETSc - Test: Streams (MB/s)",HIB,69652.7320,39918.9683,26545.7101,39471.0714,41077.6339 "Zstd Compression - Compression Level: 8 - Compression Speed (MB/s)",HIB,485.6,513.9,520.3,778.5,793.8 "Zstd Compression - Compression Level: 8 - Decompression Speed (MB/s)",HIB,2375.6,2313.4,2322.3,2279.9,2245.7 "Zstd Compression - Compression Level: 8, Long Mode - Compression Speed (MB/s)",HIB,504.1,518.5,527.9,778.8,797.0 "Zstd Compression - Compression Level: 8, Long Mode - Decompression Speed (MB/s)",HIB,2375.4,2324.5,2352.5,2278.0,2299.7 "Zstd Compression - Compression Level: 12 - Compression Speed (MB/s)",HIB,170.6,168.4,171.0,207.5,220.9 "Zstd Compression - Compression Level: 12 - Decompression Speed (MB/s)",HIB,2377.0,2394.8,2404.2,2308.6,2314.7 "Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,16.3,17.9,18.0,19.5,18.8 "Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,1972.1,2026.0,2066.7,1998.3,2010.8 "Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,8.91,10.3,10.2,11.5,10.7 "Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,1906.1,1836.4,1926.9,1890.5,1908.3 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,1068.9,1517.4,1470.5,1611.5,1611.5 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,153.6,183.5,183.6,183.6,183.5 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,2908.5,7792.6,7530.0,12647.5,12852.6 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,809.6,1082.7,1061.5,1027.8,1049.1 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,5019.2,4518.4,4457.8,4425.0,4425.2 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,37214.4,44058.2,43490.7,83133.5,83365.1 "Java SciMark - Computational Test: Composite (Mflops)",HIB,4311.80,5519.55,5476.91,5321.50,5441.20 "Java SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,1023.23,470.91,450.10,453.05,443.49 "Java SciMark - Computational Test: Jacobi Successive Over-Relaxation (Mflops)",HIB,2667.90,2487.93,2489.61,2464.14,2518.58 "Java SciMark - Computational Test: Monte Carlo (Mflops)",HIB,1426.11,2570.60,2541.20,2456.47,2529.18 "Java SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,11976.06,18030.92,17934.59,17230.85,17774.36 "ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,2556.22,2703.36,2739.34,4886.94,5073.23 "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,4282.18,3429.45,3426.03,5023.7,5172.44 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,2260.82,1550.64,1619.82,1917.67,1977.00 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,3033.56,1791.99,1806.71,2291.85,2387.89 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,94990,101849,103571,167186,170888 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,61527,87804,88945,168957,170373 "WebP Image Encode - Encode Settings: Default (MP/s)",HIB,23.93,26.78,26.81,25.78,26.25 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,15.37,16.59,16.54,15.84,16.11 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,4.73,5.30,5.28,5.15,5.10 "WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,2.17,2.16,2.17,2.08,2.09 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.88,0.84,0.84,0.82,0.82 "JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,32.506,36.320,37.180,46.773,48.588 "JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,13.484,16.578,16.519,26.958,27.223 "JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,31.814,36.035,36.024,47.231,48.525 "JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,13.650,16.689,16.661,27.555,27.748 "ASKAP - Test: tConvolve MPI - Degridding (Mpix/sec)",HIB,5146.33,3349.85,3635.69,6613.59,6642.94 "ASKAP - Test: tConvolve MPI - Gridding (Mpix/sec)",HIB,6199.09,3975.69,4256.28,7317.33,7477.19 "ASTC Encoder - Preset: Fast (MT/s)",HIB,205.9321,204.8423,203.1039,388.6309,392.2377 "ASTC Encoder - Preset: Medium (MT/s)",HIB,89.1400,80.5260,79.6040,153.7016,154.7202 "ASTC Encoder - Preset: Thorough (MT/s)",HIB,12.2307,10.3241,10.2089,19.6781,19.9038 "ASTC Encoder - Preset: Very Thorough (MT/s)",HIB,1.4639,1.4109,1.3979,2.6608,2.6841 "ASTC Encoder - Preset: Exhaustive (MT/s)",HIB,0.8741,0.8633,0.8557,1.6262,1.6391 "Stockfish - Chess Benchmark (Nodes/s)",HIB,16898291,22631087,23143858,42791247,44270858 "GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,1.434,1.526,1.546,2.468,2.543 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,7.236,6.848,6.826,12.449,12.481 "LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,7.579,8.031,8.215,14.471,13.691 "NAMD - Input: ATPase with 327,506 Atoms (ns/day)",HIB,0.65977,1.73454,1.73764,2.74999,2.78846 "NAMD - Input: STMV with 1,066,628 Atoms (ns/day)",HIB,0.20565,0.49007,0.49345,0.74072,0.75646 "ScyllaDB - Test: Writes (Op/s)",HIB,104832,94899,94217,151849,151729 "RocksDB - Test: Random Fill (Op/s)",HIB,1647988,1154716,1159865,1229256,1225921 "RocksDB - Test: Random Fill Sync (Op/s)",HIB,201594,98054,99746,170735,171199 "RocksDB - Test: Random Read (Op/s)",HIB,47512260,69366631,69408254,131218639,130693063 "RocksDB - Test: Read While Writing (Op/s)",HIB,1942760,2476441,2519594,4368397,4294631 "RocksDB - Test: Read Random Write Random (Op/s)",HIB,1976533,2137892,2131122,2912747,2915758 "RocksDB - Test: Update Random (Op/s)",HIB,908300,609510,618187,703294,700416 "RocksDB - Test: Overwrite (Op/s)",HIB,1653489,1155121,1152820,1229747,1225361 "Speedb - Test: Random Fill (Op/s)",HIB,876130,1011788,1005973,869816,866759 "Speedb - Test: Random Fill Sync (Op/s)",HIB,225607,128855,127955,170365,171623 "Speedb - Test: Random Read (Op/s)",HIB,57824426,72087947,71648683,135603493,134971626 "Speedb - Test: Read While Writing (Op/s)",HIB,2548837,3212276,3194971,5146187,5119891 "Speedb - Test: Read Random Write Random (Op/s)",HIB,2120915,2144575,2138776,2770899,2770195 "Speedb - Test: Update Random (Op/s)",HIB,828184,556040,553791,624743,623366 "Apache Hadoop - Operation: Create - Threads: 100 - Files: 100000 (Ops per sec)",HIB,88992,90476,90938,74946,75381 "Apache Hadoop - Operation: Create - Threads: 500 - Files: 100000 (Ops per sec)",HIB,76956,76371,77585,71080,70436 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,83987.5,84052.3,83155.8,119084.9,121061.7 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,59866.6,64458.4,64052.7,90528.3,92195.2 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,63021.4,67444.0,67506.7,93864.1,95084.8 "Java JMH - Throughput (Ops/s)",HIB,36765943472.268,38717919571.114,38776376503.465,75186159786.823,75134161573.042 "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,4604951.36,4818585.25,4762998.42,7046043.06,6289782.08 "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,4522560.58,4759359.71,4729191.29,6406922.86,6266297.87 "Memcached - Set To Get Ratio: 1:100 (Ops/sec)",HIB,3048853.56,2124192.99,2104490.55,3850014.66,3844031.28 "Memcached - Set To Get Ratio: 1:10 (Ops/sec)",HIB,3072373.87,2217988.24,2195688.49,3775389.09,3761626.61 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,57028398,63627945,64781285,68166248,69857519 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (point/sec)",HIB,57760197,63296864,64655502,67794681,69731166 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,62558098,69450850,70305285,76780782,79315319 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,64886364,69856949,71338740,77609975,78454316 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (point/sec)",HIB,61842388,68672756,69561449,75706552,77605627 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (point/sec)",HIB,62655549,68897602,69144164,75893047,77658914 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (point/sec)",HIB,56035278,62420035,62951458,71922519,74075244 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (point/sec)",HIB,56494499,64354682,64182563,71135797,73716025 "ClickHouse - 100M Rows Hits Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,234.39,211.59,222.47,222.80,227.39 "ClickHouse - 100M Rows Hits Dataset, Second Run (Queries/min, Geo Mean)",HIB,249.50,226.35,236.47,240.37,248.89 "ClickHouse - 100M Rows Hits Dataset, Third Run (Queries/min, Geo Mean)",HIB,249.90,228.79,232.47,241.90,251.80 "MariaDB mariadb-slap - Clients: 64 (Queries/sec)",HIB,1128,1132,1124,1182,1183 "MariaDB mariadb-slap - Clients: 128 (Queries/sec)",HIB,574,587,580,614,612 "MariaDB - Test: oltp_read_write - Threads: 32 (Queries/sec)",HIB,180020,159448,158499,184015,181519 "MariaDB - Test: oltp_read_write - Threads: 64 (Queries/sec)",HIB,186418,168388,168593,201579,201182 "MariaDB - Test: oltp_write_only - Threads: 32 (Queries/sec)",HIB,304169,310088,306926,352931,346114 "MariaDB - Test: oltp_write_only - Threads: 64 (Queries/sec)",HIB,296034,265093,265119,349473,348099 "MariaDB - Test: oltp_update_non_index - Threads: 32 (Queries/sec)",HIB,253110,224636,224118,239542,239192 "MariaDB - Test: oltp_update_non_index - Threads: 64 (Queries/sec)",HIB,220068,200246,201401,234051,233313 "MariaDB - Test: oltp_update_index - Threads: 32 (Queries/sec)",HIB,210974,198305,198779,206240,207212 "MariaDB - Test: oltp_update_index - Threads: 64 (Queries/sec)",HIB,187089,177842,177579,200156,198538 "John The Ripper - Test: MD5 (Real C/S)",HIB,919791,2230333,2234333,4066667,4118000 "John The Ripper - Test: Blowfish (Real C/S)",HIB,18841,23174,23243,42924,43795 "John The Ripper - Test: HMAC-SHA512 (Real C/S)",HIB,40721000,117065667,116770333,178283333,181331000 "John The Ripper - Test: bcrypt (Real C/S)",HIB,18787,23271,23235,43512,43695 "John The Ripper - Test: WPA PSK (Real C/S)",HIB,29560,85712,85532,160805,160664 "nginx - Connections: 200 (Reqs/sec)",HIB,98692.95,100527.89,101214.88,162256.48,162348.33 "nginx - Connections: 500 (Reqs/sec)",HIB,92582.29,91505.24,94947.75,156935.63,154835.06 "nginx - Connections: 1000 (Reqs/sec)",HIB,87132.22,84772.31,85990.12,144355.05,136360.72 "Apache HTTP Server - Concurrent Requests: 500 (Reqs/sec)",HIB,125745.61,96630.23,96508.30,136714.05,133534.11 "Apache HTTP Server - Concurrent Requests: 1000 (Reqs/sec)",HIB,113097.85,87686.63,87708.39,130637.70,131437.32 "Redis - Test: SET - Parallel Connections: 500 (Reqs/sec)",HIB,3327348.65,3656582.35,3684418.98,3827317.96,3419833.50 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,23.30,21.89,22.14,20.06,20.81 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,63236667,53661333,53659000,52493000,53018667 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,20255000,20106667,19611667,19299333,18964400 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,127376667,107140000,107146667,103326667,103696667 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,40821333,39693000,39094333,38605667,38712667 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,253450000,212860000,209743333,206306667,205890000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,79553667,77811000,77508667,76415667,76809000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,439150000,411290000,409386667,404010000,404976667 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,130002500,151906667,150576667,147935000,149903333 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 32 (samples/s)",HIB,711050000,740166667,735566667,787633333,795966667 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 512 (samples/s)",HIB,159270000,212960000,211670000,286960000,292390000 "Numpy Benchmark - (Score)",HIB,675.48,812.16,808.62,800.78,803.04 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,3000.2,7692.3,7697.3,14222.8,14289.7 "Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,16.07,12.73,12.54,13.12,13.82 "Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,8.38,6.70,6.57,6.98,7.32 "Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec)",HIB,1.36,1.09,1.06,1.16,1.21 "Llamafile - Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU (Tokens/sec)",HIB,7.91,6.34,6.28,6.53,6.79 "Llamafile - Test: llava-v1.5-7b-q4 - Acceleration: CPU (Tokens/sec)",HIB,13.32,10.57,10.48,10.90,11.37 "Llamafile - Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU (Tokens/sec)",HIB,2.20,1.84,1.82,1.94,2.01 "NAS Parallel Benchmarks - Test / Class: BT.C (Mop/s)",HIB,28326.36,22551.09,22935.27,43371.78,44844.13 "NAS Parallel Benchmarks - Test / Class: EP.C (Mop/s)",HIB,1470.81,1101.23,1169.68,2117.29,2123.37 "NAS Parallel Benchmarks - Test / Class: LU.C (Mop/s)",HIB,40491.56,37048.80,37149.88,46710.34,47556.69 "NAS Parallel Benchmarks - Test / Class: SP.B (Mop/s)",HIB,12750.97,10661.66,11152.31,18360.82,18660.90 "NAS Parallel Benchmarks - Test / Class: SP.C (Mop/s)",HIB,11387.05,9707.08,10027.11,12630.55,13374.35 "NAS Parallel Benchmarks - Test / Class: IS.D (Mop/s)",HIB,1604.85,1228.58,1269.37,1223.22,1278.44 "NAS Parallel Benchmarks - Test / Class: MG.C (Mop/s)",HIB,24688.58,19566.67,20265.52,20223.60,20961.35 "NAS Parallel Benchmarks - Test / Class: CG.C (Mop/s)",HIB,9750.34,7857.53,7898.41,8784.83,9036.65 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,42412,40163,40473,57520,56517 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,555873,532015,520502,1388157,1384166 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,34486,32316,32657,49683,49522 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,431962,385411,390018,1128893,1108243 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,195618.8,193565.9,194210.3,372775.0,373632.3 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,194127,229365,226198,394575,397138 "Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,20060,23056,23078,43567,43879 "LULESH - (z/s)",HIB,8126.3211,6454.6726,6744.8566,8006.3547,8106.1545 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,80.56,72.28,70.70,67.07,65.63 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (Latency)",LIB,275.14,248.62,243.61,235.20,230.41 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,119.49,106.44,105.58,95.72,92.08 "Apache IoTDB - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,382.48,359.26,347.97,322.24,321.29 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 (Latency)",LIB,77.24,69.05,68.16,62.09,60.66 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 (Latency)",LIB,290.14,267.99,268.42,238.34,235.16 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 (Latency)",LIB,137.92,123.74,122.55,106.72,103.37 "Apache IoTDB - Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 (Latency)",LIB,524.13,460.21,462.14,415.04,399.56 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,32.86765,43.80306,42.93941,30.23603,29.55297 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,55.89647,61.27547,61.96916,44.42709,42.22565 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,127.667,100.0271,97.1235,96.9943,97.9358 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,123.593,107.5081,107.793,85.6348,86.8403 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,960.856,889.170,864.561,567.021,567.065 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,13.1792,10.7379,10.9182,7.55840,7.50080 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,91.5188,85.1150,70.8263,65.4802,66.0282 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,86.6873,81.5676,79.7037,63.1072,64.2827 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,7.89080,7.81820,8.06389,7.60699,7.51744 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,8.10864,8.26788,8.31107,8.40671,8.15155 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,43.3967,36.2481,37.0025,27.3493,26.8284 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,4.46170,3.05542,3.09150,2.49599,2.38299 "ONNX Runtime - Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,4.66040,3.07441,3.09905,2.58704,2.62524 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,1.70107,1.48191,1.47738,1.11712,1.11577 "ONNX Runtime - Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,1.79347,1.46770,1.47531,1.19855,1.20504 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,23.6106,19.1025,19.2609,16.7849,18.6633 "ONNX Runtime - Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,24.3858,19.3345,19.7910,19.3166,18.9664 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Standard (Inference Time Cost (ms))",LIB,5.90786,7.03702,7.16751,6.36984,6.16145 "ONNX Runtime - Model: T5 Encoder - Device: CPU - Executor: Parallel (Inference Time Cost (ms))",LIB,6.19876,7.00331,7.06097,6.57601,6.37806 "PyBench - Total For Average Test Times (Milliseconds)",LIB,415,532,527,536,533 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,11.791,12.454,12.355,8.696,8.850 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.899,0.940,0.961,0.360,0.361 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,23.198,24.761,24.498,16.102,16.157 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,1.852,2.077,2.051,0.709,0.722 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2441,2143,2133,1078,1069 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,41514,37677,37458,17247,17116 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,81236,72067,71530,37984,37923 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2474,2171,2156,1090,1080 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,42275,38010,37900,17491,17285 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,82403,72906,72250,38454,38192 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,2884,2539,2526,1275,1265 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,48929,44013,43830,20461,20283 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,95447,84611,84209,44561,44247 "Google Draco - Model: Church Facade (ms)",LIB,5607,5163,5083,5237,5224 "Google Draco - Model: Lion (ms)",LIB,3830,3922,3891,4049,3878 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1506.63,556.14,560.14,592.59,590.80 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,384.09,283.71,285.97,301.83,301.79 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.00,0.4,0.4,0.41,0.41 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.4,0.28,0.28,0.29,0.29 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,133.99,73.87,72.52,92.38,89.98 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,134.54,73.71,72.70,91.34,90.49 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,7.78,5.59,5.63,5.96,5.96 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,30.05,10.97,11.05,11.75,11.72 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,15.95,4.52,4.53,4.83,4.82 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,16.04,8.57,8.44,11.72,11.36 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,9.94,4.78,4.78,5.13,5.12 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,118.45,48.55,48.26,59.77,58.43 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,9.76,2.2,2.21,2.37,2.37 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,5.07,3.13,3.16,3.32,3.33 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,53.07,20.34,20.37,21.99,21.89 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,45.70,18.90,19.13,20.11,20.09 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,39.48,18.02,17.79,26.38,25.15 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,36.35,14.59,14.48,17.22,16.73 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,18.22,3.85,3.87,4.11,4.11 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,15.21,8.03,7.95,10.18,9.90 "oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,6.38053,8.23220,8.16800,6.72536,6.40719 "oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,6.85318,3.87665,3.91089,2.98654,3.00636 "oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,4.94792,3.79890,3.83412,2.46164,2.46159 "oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,2.91408,1.98773,1.99986,1.13203,1.13000 "oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,7.59695,4.61211,4.67840,4.07056,3.88685 "oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,2931.95,2496.65,2491.14,1354.12,1348.37 "oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,1548.71,1329.68,1337.47,703.750,706.645 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,3695.4,3036.5,3042.0,3270.6,3265.2 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,1668.7,1925.0,1963.8,2288.1,2300.7 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,886.6,819.5,821.7,887.0,882.7 "DaCapo Benchmark - Java Test: Eclipse (msec)",LIB,6943,6483,6410,6627,6587 "DaCapo Benchmark - Java Test: Avrora AVR Simulation Framework (msec)",LIB,1451,2430,2415,2393,2359 "DaCapo Benchmark - Java Test: Batik SVG Toolkit (msec)",LIB,897,927,930,969,936 "DaCapo Benchmark - Java Test: FOP Print Formatter (msec)",LIB,426,423,414,403,399 "DaCapo Benchmark - Java Test: PMD Source Code Analyzer (msec)",LIB,1122,1142,1113,1074,1053 "DaCapo Benchmark - Java Test: Apache Tomcat (msec)",LIB,6687,6467,6482,3367,3370 "DaCapo Benchmark - Java Test: Apache Xalan XSLT (msec)",LIB,408,448,450,508,506 "DaCapo Benchmark - Java Test: Apache Lucene Search Index (msec)",LIB,2296,2407,2390,2517,2471 "DaCapo Benchmark - Java Test: Apache Lucene Search Engine (msec)",LIB,3113,2404,2409,2083,2080 "DaCapo Benchmark - Java Test: H2 Database Engine (msec)",LIB,2128,2000,1977,1872,1826 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,2433,3790,3762,3795,3871 "DaCapo Benchmark - Java Test: Tradebeans (msec)",LIB,3410,2775,2815,3359,3329 "DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,1914,1964,1979,2439,2474 "DaCapo Benchmark - Java Test: BioJava Biological Data Framework (msec)",LIB,3708,4347,4327,4413,4425 "DaCapo Benchmark - Java Test: GraphChi (msec)",LIB,2675,2535,2561,2521,2472 "DaCapo Benchmark - Java Test: jMonkeyEngine (msec)",LIB,6827,6804,6802,6808,6806 "DaCapo Benchmark - Java Test: Apache Kafka (msec)",LIB,4984,5031,5027,5030,5055 "DaCapo Benchmark - Java Test: Spring Boot (msec)",LIB,1220,1159,1162,1554,1554 "DaCapo Benchmark - Java Test: Zxing 1D/2D Barcode Image Processing (msec)",LIB,1053,1016,1019,597,589 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,108.338,97.918,97.405,57.927,57.472 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,1508.042,1312.351,1310.962,717.711,714.384 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,50.051,42.474,42.195,25.541,25.301 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,364.422,329.179,326.162,191.082,188.525 "Timed Node.js Compilation - Time To Compile (sec)",LIB,915.937,737.286,739.343,427.637,421.430 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,468.378,436.048,432.221,277.725,273.493 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,697.937,643.223,636.832,360.463,354.764 "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,719.392,670.269,662.522,395.186,387.011 "Timed PHP Compilation - Time To Compile (sec)",LIB,54.449,53.091,53.755,40.847,40.110 "Timed Wasmer Compilation - Time To Compile (sec)",LIB,38.134,36.548,36.902,29.890,29.443 "Timed Mesa Compilation - Time To Compile (sec)",LIB,32.515,28.195,28.263,17.730,17.464 "Timed CPython Compilation - Build Configuration: Default (sec)",LIB,16.85,16.499,16.576,14.149,14.134 "Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,197.921,202.772,200.978,193.585,193.465 "DuckDB - Benchmark: IMDB (sec)",LIB,99.575,101.939,100.627,83.005,82.377 "m-queens - Time To Solve (sec)",LIB,72.852,53.082,53.501,27.823,27.914 "SPECFEM3D - Model: Layered Halfspace (sec)",LIB,144.539537175,130.528009050,133.309044185,85.995981541,83.970385886 "SPECFEM3D - Model: Water-layered Halfspace (sec)",LIB,135.416735242,129.551632196,129.332051612,87.856011578,85.254370260 "SPECFEM3D - Model: Homogeneous Halfspace (sec)",LIB,67.114929508,57.793286206,63.865203042,39.915238393,39.561071375 "SPECFEM3D - Model: Mount St. Helens (sec)",LIB,53.287162292,49.543042397,51.286977035,34.795020293,33.126776518 "SPECFEM3D - Model: Tomographic Model (sec)",LIB,52.893781663,46.576508103,49.576470688,30.487643606,30.132231580 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,10.421,10.634,10.727,10.927,10.963 "CloverLeaf - Input: clover_bm (sec)",LIB,64.58,89.36,86.82,75.55,72.88 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,138.32,177.83,172.36,178.81,171.30 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,6.278,6.166,5.990,3.164,3.037 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,145.992,159.043,152.786,132.128,127.024 "GPAW - Input: Carbon Nanotube (sec)",LIB,228.899,217.495,205.874,166.513,154.989 "Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,19.7521490,22.5346236,21.8746431,17.1065413,16.5884685 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,73.7203613,90.6922328,87.7703425,79.6040472,73.8836784 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,35.18608,41.677148,38.173004,29.739379,30.765271 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,242.94479,311.36104,296.60098,199.88007,183.23451 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Mesh Time (sec)",LIB,225.95491,276.70864,296.21094,245.10431,226.01104 "OpenFOAM - Input: drivaerFastback, Medium Mesh Size - Execution Time (sec)",LIB,2260.9881,2926.9791,2827.8789,2445.681,2351.5135 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,259.88,276.24,266.65,177.58,183.64 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,177.74,175.46,162.03,101.62,110.05 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,93.26,100.19,95.48,68.68,67.71 "OpenRadioss - Model: Bumper Beam (sec)",LIB,153.90,140.26,145.32,107.17,108.64 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,538.42,582.32,585.75,349.91,322.67 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,983.54,1060.53,1003.59,915.82,891.84 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,123.51,101.52,101.72,53.56,53.25 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,336.94,259.85,259.46,136.92,136.11 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,165.00,127.12,127.01,67.34,66.78 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,411.15,316.02,315.13,166.82,165.35 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,1281.54,928.10,925.38,484.46,481.15 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,173.17,139.94,139.48,73.73,72.75 "Appleseed - Scene: Emily (sec)",LIB,323.270593,264.550473,263.511098,153.372731,152.301783 "Appleseed - Scene: Disney Material (sec)",LIB,174.948967,156.370961,156.069532,85.934505,85.317922 "Appleseed - Scene: Material Tester (sec)",LIB,173.408541,143.379959,142.936958,102.744509,102.152381 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,6.612486,6.176853,6.154460,3.325543,3.299879 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,133.567,107.789,108.654,72.424,72.106 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,61.843,51.377,51.942,36.335,36.331 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,6.260,5.301,5.338,3.447,3.421 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,8.969,8.140,8.147,5.932,5.890 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,4.162,4.202,4.205,3.804,3.841 "RNNoise - Input: 26 Minute Long Talking Sample (sec)",LIB,6.400,7.028,7.184,7.291,7.414 "GNU Octave Benchmark - (sec)",LIB,6.462,5.668,5.587,5.754,5.780 "RawTherapee - Total Benchmark Time (sec)",LIB,42.659,46.732,46.659,42.791,42.550 "Z3 Theorem Prover - SMT File: 1.smt2 (sec)",LIB,18.660,20.501,20.432,20.778,20.325 "Z3 Theorem Prover - SMT File: 2.smt2 (sec)",LIB,63.076,48.122,48.676,48.997,48.877 "Helsing - Digit Range: 12 digit (sec)",LIB,4.080,3.753,3.828,2.011,2.016 "Helsing - Digit Range: 14 digit (sec)",LIB,437.414,372.103,375.915,199.825,200.768 "Primesieve - Length: 1e12 (sec)",LIB,21.095,12.416,12.506,6.669,6.691 "Primesieve - Length: 1e13 (sec)",LIB,245.674,152.679,153.598,82.116,82.473 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,14.926,11.555,11.589,8.920,8.652 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,33.891,25.242,25.455,18.803,18.211 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,24.057,21.449,23.119,25.619,25.252